Omega-3 Fatty Acids for MDD With High Inflammation: A Personalized Approach
Phase: PHASE2
Conditions: Major Depressive Disorder, Overweight, Inflammation
Sponsor: Massachusetts General Hospital

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
1 
 
DETAILED STUDY PROTOCOL 
 
 
TITLE: Omega-3 Fatty Acids for MDD with High Inflammation: A Personalized Approach 
 
PRINCIPAL INVESTIGATORS:  
Mark H. Rapaport, MD, Emory University 
 
 
 
 
             David Mischoulon, MD, PhD and   
Maurizio Fava, MD, Harvard University 
 
VERSION NUMBER:  3.7 
VERSION DATE:  
February 7th, 2018  
 
I. BACKGROUND AND SIGNIFICANCE (including progress report and preliminary studies). 
 
a. Historical background 
 
Major depressive disorder (MDD) is common and disabling, with a lifetime prevalence of 16.2% (Kessler et al, 
2003), and an annual cost over $80 billion in the United States (Greenberg et al, 1990, 2003), exceeding that of 
many other diseases. The lifetime risk for suicide is over 4-fold greater among the depressed than the non-
depressed (Bostwick et al, 2000), and mortality from all causes is 1.5 to 2 times greater in depressed individuals 
(Hirshfeld et al, 1994). Despite the growing number of marketed antidepressants, between 19-34% of patients 
with MDD still do not respond to acute antidepressant treatment, 29-46% may fail to achieve and sustain a full 
remission (Fava and Davidson, 1996), and between 15-50% will have a recurrence of depression despite 
continuous antidepressant treatment (Fava, 2000). For the relatively large proportion of individuals that does not 
respond or is intolerant to antidepressants, alternative treatment options are very important.  
 
For the significant proportion of patients who are non-responsive and/or intolerant to standard antidepressants, 
alternative therapies are compelling. Many individuals may abandon FDA-sanctioned medications in favor of 
natural products (Mischoulon, 2004). A survey from 1999 revealed that 34% of psychiatric outpatients with MDD 
were using alternative therapies (Knaudt et al, 1999). Ernst et al (1998) reported that 20% of mostly US-based 
depressed patients had used a CAM therapy for their depression. More than 70% of the world’s population may 
use some sort of complementary therapy (NIH, 1997), and there are more visits to alternative practitioners per 
year in the US than to primary care physicians (Eisenberg et al, 1998). Given the growing interest in CAM, 
continued research in this area is of major importance.  
 
Major depression is projected to be the second leading cause of disability-adjusted life years worldwide by the 
year 2020 (Murray and Lopez, 1999). Many individuals with depression seek complementary and alternative 
medicine (CAM) therapies (Druss et al., 1998; Kessler et al., 2001, Unutzer et al., 2000) not only because of their 
intrinsic appeal but because more than 50% of depressed individuals do not remit on a standard antidepressant 
(Nelson, 2003; Fava and Davidson, 1996) or have difficulty tolerating side-effects and, therefore, are obliged to 
seek innovative treatments, including CAM approaches. Widely recognized among the more promising potential 
CAM therapies for major mood disorders in recent years are the fish oils or omega-3 fatty acids (Freeman et al, 
2006; Sublette et al, 2011). Despite encouraging evidence for clinical effectiveness, very little is known about the 
mechanisms that may account for their link with their putative antidepressant effects.  
 
Convergent clinical and epidemiological data have implicated omega-3 fatty acids in the pathophysiology, 
prevention, and therapy of common and disabling conditions such as major depressive disorder (MDD) and 
cardiovascular disease. Over the past century, the intake of omega-3 fatty acids in the western diet has decreased 
dramatically, while intake of omega-6 fatty acids has increased. The resulting omega-6-to-omega-3 ratio (n-6:n-3) 
favors omega-6 in the U.S., as opposed to countries with higher fish consumption, and may have contributed in 
part to the rise in prevalence of depression and heart disease in western societies. The urban lifestyle of the 21st 
century, notable for high stress, little rest, and high intake of processed (i.e. omega-6-rich) foods, has been 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
2 
 
postulated to create a baseline “pro-inflammatory” state in the average person. This pro-inflammatory state has 
been demonstrated to play a role in the pathogenesis of cardiovascular disease and is hypothesized to play a role 
in the development of mood disorders.  
 
b. Previous pre-clinical or clinical studies leading up to, and supporting the proposed research 
 
There is growing evidence of antidepressant efficacy for several popular natural products, including omega-3 
(PUFA) fatty acids (Freeman et al, 2006; Sublette et al, 2011). There is much variability in individual study 
findings, as with most antidepressants (Khan et al, 2003). No single study can definitively prove or disprove the 
efficacy of any psychotropic; meta-analyses and systematic reviews have therefore been especially helpful in 
clarifying our understanding of this natural agent.  
 
1. Role of PUFAs in Signal Transduction and Central Nervous System Function 
 
The PUFA content can affect the structure and function of membranes and associated membrane-bound proteins 
(e.g., receptors, ion channels and enzymes) (Salem et al., 1986; Salem and Niebylski, 1995).  This can affect 
signal transduction in at least four ways.  First, PUFAs can alter the biophysical microenvironment and affect ion 
channels (Lundbaek and Anderson, 1994).  Second, PUFAs can modify the binding affinities of a wide range of 
neurotransmitter receptors (Fong and McNamee, 1986; Malnoe et al., 1990; Witt and Nielsen, 1994; Miller et al., 
1992).  Third, PUFAs contribute to the regulation of cellular function by acting as a source of second messengers 
that are involved in cellular signal transduction (Hudson et al., 1993; Graber et al., 1994; Mathews and van Hold, 
1996).  Fourth, PUFAs are the precursors of prostaglandins, thromboxanes and leukotrienes, which collectively 
are called eicosanoids.  The eicosanoids mediate the acute phase response to infection or cellular injury.  They 
also have a variety of other physiological effects, including possibly serving as retrograde messengers in the 
processes underlying long-term changes in synaptic plasticity (Wainwright et al., 1997), and possibly in the 
adaptation to pharmacologic agents such as antidepressants.  
 
As described above, PUFAs play numerous roles in signal transduction, affecting ion channels, receptors and 
second messengers, and the data indicate that they are of critical importance in the central nervous system (CNS).  
PUFAs are found in high concentration in the CNS.  For example, arachadonic acid (AA) and DHA are 
selectively concentrated in gray matter, and together account for approximately 20% of the synaptosomal 
membrane fatty acids (Salem, 1989).  Preclinical studies have shown that each step in the biogenic amine process, 
including neurotransmitter synthesis, binding, uptake and degradation, can be influenced by membrane fatty acids 
(Salem, 1989; Hibbeln and Salem, 1995).  
 
PUFA deficiency also leads to a reduced synthesis of dopamine, as well as the decreased storage of newly 
synthesized dopamine in cytoplasmic vesicles (Zimmer et al., 1998).  Hibbeln and colleagues (1998) found that 
there was a correlation between PUFA levels in plasma, and metabolism of 5–HT and dopamine in the CNS.  It 
has been hypothesized that PUFAs also might affect the uptake of neurotransmitter precursors into the brain.  
Horsten and colleagues (1997) suggested that because fatty acids and tryptophan (the precursor of 5-HT) compete 
for a binding site on human albumin, an increase in serum fatty acids will allow less tryptophan to be bound to 
albumin. This would result in more uptake of tryptophan into the brain, and consequently an increase in 5-HT 
synthesis.  
 
PUFA-deficient diets can affect behavior in laboratory animals.  Mice fed a PUFA deficient diet exhibited lower 
motivation to escape, a commonly used measure of emotional reactivity in animal models (Frances et al., 1995).  
The behavioral effects of PUFA deficiency in rodents include changes in attention, motivation, and reactivity to 
stimuli and rewards, all of which might be indicative of deficits in function of prefrontal dopamine pathways 
(Wainwright et al., 1997).  Carrie and colleagues (2000) demonstrated that behavioral disturbance induced by a 
PUFA deficient diet can be reversed by PUFA supplementation.  These data suggest that PUFA intake and PUFA 
levels also might influence behavior in humans. 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
3 
 
2. Evidence for a Link between Omega-3 Fatty Acids and Depression 
 
Confluent epidemiological data have supported a link between omega-3 fatty acids and depression. Analysis of 
data from the Cross-National Collaborative Group (1992), which showed marked variation in MDD prevalence 
across countries, revealed a strong inverse relationship between fish consumption and depression (Hibbeln, 1998; 
Hibbeln, 1999). An increasing prevalence of major depression in western societies since the mid-20th century 
(Klerman, 1988; Klerman and Weissman, 1989) also bears a postulated relationship to dietary shifts (Leaf and 
Weber, 1987; Eaton and Kanner, 1985; Taylor et al., 1979) favoring a higher ratio of omega-6:omega-3 fatty 
acids (Adams et al., 1996; Hibbeln and Salem, 1995). Suicidal ideation (Tanskanen et al., 2001a), as well as 
depressive symptoms on the Beck Depression Inventory (Tanskanen et al., 2001b), were significantly lower 
among frequent lake fish consumers in Finland (n = 3024), after adjustment for relevant demographic variables, 
general health, and habits. Similarly, an earlier census study in Japan (n = 265,000) showed a decreased rate of 
suicide among subjects with daily vs. less frequent fish consumption (Hirayama, 1990). A recent study by 
Frasure-Smith and colleagues (2004) showed that depressed patients had lower concentrations of total omega-3 
and docosahexanoic acid (DHA), higher ratios of arachidonic acid (AA) to DHA, AA to eicosapentanoic acid 
(EPA), and n-6:n-3 than controls. 
 
Supporting evidence for a role for omega-3 fatty acids in depression has also come from studies of depressed 
patients and healthy controls. While early studies involving heterogeneous samples (including bipolar and other 
forms and severity of depression) reported increases in EPA and DHA in serum and RBC membranes of 
depressed individuals (Ellis and Sanders, 1977; Fehily et al., 1981), more recent studies in well-characterized 
subjects with unipolar MDD have reached opposite conclusions. Thus, patients with MDD were found to have a 
reduction of total omega-3 fatty acids as well as alpha-linolenic acid (ALA) and eicosapentenoic acid in serum 
cholesteryl esters compared with adults with minor depression or healthy controls (n = 74) (Maes et al., 1996). Of 
particular note, in a similar cohort of depressed subjects (n = 34) these abnormalities and reduced omega-3 fatty 
acids in phospholipids persisted despite acute treatment of depression with fluoxetine 20 mg/day with or without 
adjuncts (trazodone 100 mg or pindolol 7.5 mg) (Maes et al., 1998) suggesting that changes in omega-3 fatty 
acids did not appear to mediate response to this selective serotonin reuptake inhibitor (SSRI).  
 
In a small sample (n = 24), depressed subjects had lower RBC membrane levels of omega-3 fatty acids than 
healthy controls and severity of depression correlated with both levels and dietary intake of omega-3 fatty acids 
(Edwards et al., 1998). The omega-3 fatty acid composition of RBC membrane phospholipids, and particularly 
DHA content, were significantly depleted among depressed compared with control subjects in a similar study 
(Peet et al., 1998). In another sample of depressed adults (n = 20), depression severity pre- and post-treatment 
with antidepressants (mainly tricyclics) was related not to abnormal absolute levels of PUFA but rather to the 
AA:EPA ratio in plasma and RBC membrane phospholipids, suggesting that imbalance rather than an absolute 
deficiency may be a crucial factor (Adams et al., 1996).  
 
The etiology of diminished omega-3 fatty acid levels or imbalance of omega-6:omega-3 fatty acids among 
depressed individuals remains uncertain. While epidemiological studies have suggested decreased consumption, 
this has not been easy to demonstrate within smaller clinical samples (Adams et al., 1996), and other explanations 
have been advanced including insufficient capacity for elongation and desaturation of omega-3 fatty acid 
precursors or increased catabolism of omega-3 fatty acids, including degradation via peroxidation in the setting of 
hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis in depression (Hibbeln and Salem, 1995). 
Similarly, the relationship, if any, between omega-3 fatty acid status and response to standard antidepressant 
therapy has also been insufficiently studied to draw any meaningful conclusions. 
 
3. Clinical Evidence for Efficacy of Omega-3 Fatty Acids in Depression 
 
Motivated by studies in community and clinical samples suggesting imbalance of omega-3 fatty acids in 
depression, Peet and Horrobin (2002) conducted a randomized, placebo controlled, dose finding study of ethyl-
eicosapentanoate (EPA) as monotherapy for 70 adults (ages 18-70) with persistent depression (Hamilton  

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
4 
 
Depression Rating Scale [HAM-D] 17-item score > 15) despite treatment with a standard antidepressant. Subjects 
receiving 1g/day EPA showed significantly higher response rates than subjects receiving placebo (53% vs. 29%),  
with notable improvement of depressed mood, anxiety, sleep disturbance, lassitude, diminished libido and 
suicidality. The 2g/day group showed little evidence for a drug: placebo difference and the 4g/day group showed 
a non-significant trend toward improvement. Mischoulon and colleagues (2008) have recently obtained evidence 
for a similar inverted U-shaped dose-response curve using DHA in adults with MDD. 
 
In a small sample of subjects with MDD and at least mild recurrent depressive symptoms (24 item HAM-D > 18) 
on antidepressant therapy, Nemets and colleagues (2002) found a statistically significant separation of adjunctive 
EPA 1g/day from placebo by week 2 with a clinically important difference in the mean reduction of the 24 item 
HAM-D by the study endpoint at week 4 (12.4 vs. 1.6). An NCCAM funded, randomized, placebo controlled 
study of EPA 1 g/day vs placebo monotherapy for outpatients with MDD (n = 57) found a non-significant 
advantage for EPA (Mischoulon et al, 2009). Regarding DHA, a placebo controlled study showed lack of efficacy 
of 2 g/day DHA for depression (Marangell et al., 2003). In retrospect, the use of a higher dose of DHA may have 
accounted for the negative result, in view of the Mischoulon et al study (2008). A recent small study by Silvers 
(2005) suggested that 8 grams of “fish oil” was not more effective than 8 grams of “olive oil” but this under-
powered study is marred by problems with attrition, dosage, and choice of rating scales. A recent 3-armed 
comparison of EPA, DHA, and placebo in adults with MDD (Mischoulon et al, 2015) found no significant 
advantage for either omega-3 against placebo, though an ancillary investigation of inflammatory biomarkers 
suggested a subpopulation that may be more likely to benefit from EPA, as will be discussed later (Rapaport et al, 
2015). 
 
Omega-3 fatty acids may have efficacy for bipolar as well as unipolar mood disorders. Using high doses of an 
omega-3 fatty acid mix (6.2 g EPA + 3.4 g DHA) vs. placebo over a 4 month trial, Stoll and colleagues (1999) 
found that among 30 patients with bipolar I or II disorder, a Kaplan-Meier survival analysis revealed a 
significantly longer duration of remission for those receiving adjunctive omega-3 fatty acid mix vs. placebo along 
with their current mood stabilizing regimen. Further investigation is needed to determine whether bipolar disorder 
actually requires higher doses of omega-3 fatty acids than unipolar illness and to unravel the respective 
contributions of EPA and DHA. However, Keck and colleagues were unable to replicate this result in a larger-
scale study. In their double-blind, placebo-controlled trial of adjunctive EPA 6 g per day for 4 months in patients 
with bipolar depression (N=59) or rapid cycling (N=62), EPA did not separate from placebo (Keck et al., 2002).  
 
Groups also have studied the relationship between omega-3 FA levels and a range of other psychiatric syndromes 
including borderline personality and schizophrenia (Zanarini and Frankenburg, 2003, Mellor et al., 1996; Vaddadi 
et al., 1989; Emsley et al., 2002, Fenton et al., 2001, Maidment, 2000) and postpartum depression (Feeeman et al, 
2006, Marangell et al, 2004).  These have tended to be very small studies and their conflicting results reflect this 
limitation. 
 
Taken together, the literature suggests efficacy of omega-3 fatty acids for mood dysregulation. In particular, 
preliminary studies have suggested that low doses of omega-3 fatty acids may be efficacious and well-tolerated as 
monotherapy or adjunctive therapy among adults with depressive symptoms. If effective for depression and other 
psychiatric disorders, the omega-3 fatty acids may have broad appeal, as well as being particularly well-suited for 
treatment of specific patient populations such as pregnant or lactating women for whom antidepressants are used 
with caution (Chiu et al., 2003), for elderly people who may not tolerate side effects of conventional 
antidepressants agents, and for those with medical comorbidity, particularly cardiovascular disease and possibly 
autoimmune conditions, for which there may be dual benefits. 
 
To date there are two published omega-3 fatty acid treatment studies comparing the efficacy of EPA vs. DHA, 
one as monotherapy (Mischoulon et al, 2015), previously discussed, and one as augmentation (Mozaffari-
Khosravi et al, 2013). In the latter, 12 weeks of adjunctive 1 g/day EPA produced significantly greater reductions 
in HAM-D-17 scores than 1 g/day DHA in antidepressant-treated subjects with MDD. Apart from our recent 
study (Rapaport et al, 2015) there had been no published studies that elucidate mediators and moderators of  

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
5 
 
treatment response or mechanisms of action for the omega-3 fatty acids. Bridging and clarifying these knowledge 
gaps is the aim of this project, which will focus on treatment efficacy, immune function, and PUFA and lipid 
metabolism, which seem particularly likely to yield important information about the link between omega-3 fatty 
acids and depression. While this knowledge is crucial to the elaboration of rational guidelines for the use of 
omega-3 fatty acids in depression, the results should further our understanding of the pathophysiology of 
depression and its interrelationship with other medical disorders and contribute to the development of novel 
therapies. 
 
 
4. Evidence for a Link between Omega-3 and Immune Function 
 
Some of the most compelling and best understood physiological effects of PUFAs are the conversion of these 20-
carbon length PUFA into eicosanoids, a series of oxygenated metabolites many of which have a prominent role in 
immune and inflammatory processes (Meydani, 1993; Calder, 2001; Grimble, 1998). Eicosanoids include 
prostaglandins, leukotrienes, lipoxins, thromboxane, and prostacyclin. Those derived from the omega-6 fatty acids 
(arachidonic acid) are generally strongly proinflammatory, while those derived from omega-3 fatty acids are 
typically less inflammatory (e.g., series 3 vs. 2 prostaglandins, series 5 vs. 4 leukotrienes) and platelet aggregatory 
(thromboxane A3 vs. thromboxane A2) and may therefore counter the impact of omega-6 fatty acid-derived 
eicosanoids. The balance downstream between omega-3 fatty acids and omega-6 fatty acids may also influence 
the balance between anti-inflammatory cytokines such as interleukin (IL) 4, IL-10, and IL-13, and 
proinflammatory cytokines such as IL-1, IL-6 and TNF-a (Meydani, 1996; Grimble et al., 2002). Epidemiological 
data clearly demonstrate that a higher omega-6:omega-3 fatty acid ratio is associated with increased levels of the 
pro-inflammatory acute phase protein C-reactive protein (CRP) and IL-6, and an increased risk of developing 
cardiovascular disease (Madsen et al., 2001; Ross 1999; Libby 1995).  Omega-3 fatty acids decrease the 
expression of pro-inflammatory cytokines and CRP in both in vivo and in vitro human and animal models. 
Studies demonstrate that omega-3 fatty acids can decrease plasma levels of CRP as well as mitogen-stimulated 
and autologous lymphocyte-stimulated pro-inflammatory cytokine production (James et al., 2000; Phillips et al., 
2003; Loukianos et al., 2003; Meydani et al., 1993; De Caterina et al., 1994; Ernst et al., 1991; Khalfoun et al., 
1997a,b,c; Khalfoun et al., 1998; Purasiri et al., 1997; Kelly, 1991; Lee et al., 1985). 
 
5. Evidence for a Link between Depression and Immune Function 
 
Several lines of evidence support the hypothesis that a subset of individuals with major depressive disorder also 
manifests signs of chronic mild inflammation.  Some of the most exciting recent work has been stimulated by 
epidemiological findings demonstrating that major depressive disorder is an independent risk factor for 
cardiovascular and cerebral vascular disease (Ford and Erlinger 2004; Pratt et al., 1996; Ford et al., 1998; Mendes 
et al., 1998; Glassman and Shapiro, 1998; Ruguilies, 2002; Larson, 2001; Jonas and Mussolino, 2000; Musselman 
et al., 1998).  This led investigators to search for common dysfunctional processes observed in cardiovascular and 
cerebrovascular disease and major depressive disorder. Recent work in cardiology demonstrated that mild chronic 
inflammation, as manifested by elevations of acute phase proteins such as CRP, is a significant risk factor for 
subsequent cardiovascular disease (Grundy et al., 2001; Ross, 1999; Danesh et al., 2000; Ford and Erlinger, 
2004).  Subtle but significant increases in proinflammatory acute phase proteins and cytokines represent a 
plausible biological explanation for the linkage between depression and the risk of cardiovascular disease.   
 
A small group of investigators began to publish data in the early 1990s suggesting that individuals in an acute 
episode of major depressive disorder manifested signs of immune activation (Leonard, 2001; Maes, 1999a).  
Although this literature is not unequivocally positive, the current consensus in the field is that a some patients 
with non-melancholic major depressive disorder have increased serum/plasma levels of positive acute phase 
proteins (CRP, haptogloblin, and alpha-1-acid glycoprotein), pro-inflammatory cytokines (IL-1, IL-6, IFN-G and 
TNF-alpha) and mitogen-stimulated pro-inflammatory cytokine production (Maes et al., 1990-91, 
1993a,b,1997a,b,c,1998; Muller et al., 1993; Licinio and Wong, 1999; Musselman et al., 2001a; Owen et al., 
2001; Rothermundt et al., 2001a,b,c; Leonard, 2001, Maes, 1999a; Mikova et al., 2001; Anisman, 1999; Kahl et 
al., 2005; Penninx et al., 2003; Thomas et al., 2005).  Recently published work supports the linkage between  

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
6 
 
increased levels of CRP with major depressive disorder, particularly in men (Ford and Erlinger, 2004; Kop et al., 
2002; Lesperance et al., 2004).  Plasma levels of sICAM also were elevated in depressed individuals recovering 
from an acute myocardial event (Lesperance et al., 2004). Another less direct line of evidence for the association 
between mild inflammation and major depressive disorders is a series from preclinical studies suggesting that 
antidepressants have immunosuppressive effects (Danzer et al., 1999; Maes et al., 1999b; 2000; Xia et al., 1996).  
The clinical studies in depressed subjects, designed to complement the animal studies demonstrating 
immunosuppressive effects of antidepressants, have been less robust (Lin et al., 2000; Kubera et al., 2000).  In 
summary, the confluence of data suggests that some people with major depressive disorder do manifest signs of 
mild chronic immune activation and inflammation.          
 
c. Rationale behind the proposed research, and potential benefits to patients and/or society 
 
The Importance of Studying Overweight Subjects with MDD and Elevated CRP Levels 
 
The biological heterogeneity of the subjects who fall within the DSM 5 definition of major depressive disorder 
(MDD) has been a significant source of variance that has led to problems with evaluating the effects of 
experimental treatment interventions, including complementary and alternative treatments.  Thus it is imperative 
that the field identifies biomarkers that allow us to begin to rationally subdivide this heterogeneous syndrome.  
There is a growing body of evidence that one subgroup of patients with MDD have increased peripheral markers 
of inflammation and that this sub-group is less responsive to conventional treatment and, in at least 2 published 
reports, more responsive to anti-inflammatory therapy (Raison et al., 2013; Rapaport et al., 2015). 
  
We believe studying these patients is critical to the consistent success of any study in MDD of EPA-enriched 
omega-3 (n-3) fatty acids. A recent meta-analysis (Grosso et al., 2014) of studies of omega-3 fatty acids in MDD 
has concluded that the use of omega-3 PUFA is modestly and inconsistently effective in patients with diagnosis of 
MDD and on depressive patients without diagnosis of MDD, which is likely to be due to the fact that none of 
these studies enriched their population based on inflammatory status and/or obesity. In fact, in a recent study from 
our group (Rapaport et al., 2015) of 155 subjects with MDD randomized to 8 weeks of double-blind treatment 
with eicosapentaenoic acid (EPA)-enriched n-3 1060 mg/day, docosahexaenoic acid (DHA)-enriched n-3 
900 mg/day or placebo, although overall treatment group differences were negligible (ES=-0.13 to +0.04), 
subjects with any 'high' inflammation improved more on EPA than placebo (ES=-0.39) or DHA (ES=-0.60). For 
subjects with 2-3 “high” biomarkers of inflammation the ES for EPA versus placebo increased to -0.59 and if 
subjects had more than 3 “high” biomarkers of inflammation, the ES increased to -1.11 versus placebo.  Subjects 
with 'high' biomarkers of inflammation were also less placebo-responsive than subjects with low levels of this 
biomarker. This replicates a finding reported by Raison and colleagues (2013). These findings support the 
importance studying the patients defined for inclusion in the proposed trial.  
 
Two other lines of research support the idea of employing an approach that investigates the efficacy of EPA 
specifically in a cohort of MDD subjects who meet criteria for inflammation.  A recent study by Su and 
colleagues (2014) focused on subjects treated with interferon-alpha (IFN-α) therapy for chronic hepatitis C virus 
infection, therapy frequently associated with the emergence of depression. They conducted a 2-week, double-
blind, placebo-controlled trial comparing EPA, DHA, and placebo for the prevention of IFN-α-induced  
depression. A total of 162 patients consented to participate and were randomized to the study. All of the patients 
completed the 2-week trial of either 3.5 g/day EPA, 1.75 g/day DHA or oleic acid placebo; 152 participants were 
followed throughout the 24 weeks of IFN-α treatment and were included in the analysis. Compared with placebo, 
the incident rates of IFN-α-induced depression were significantly lower in EPA-treated but not in DHA-treated 
patients (10% and 28%, respectively, versus 30% for placebo, p =.037).  Two weeks of 3.5 g/day EPA was also 
associated with a statistically significant increase in RBC EPA and DHA levels.  In a second study, Ferguson and 
colleagues (2014) reported that 8-weeks of treatment with 3,600 mg/day of EPA+DHA attenuated all of the LPS-
induced plasma markers of endotoxemia, as well as fever (p=0.03). Although the plasma cytokine and hs-CRP 
findings did not reach statistical significance in this small study in a heterogeneous cohort of normal volunteers, 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
7 
 
the pattern is suggestive that pre-treatment with EPA+DHA did decrease the inflammatory response to in vivo 
exposure to LPS.    
 
In summary, we believe the proposed enrichment will increase our ability to detect the biosignature of EPA-
enriched omega-3 fatty acids, while reducing placebo response and enhancing the likelihood of antidepressant 
benefit from such treatment. 
 
How EPA-enriched Omega-3 Fatty Acid Treatment May Lead to Reduction in the Peripheral Levels of 
interleukin-6 (IL-6) in Overweight Depressed Patients 
 
One of the most consistently replicated findings in investigation of peripheral biomarkers and mood disorders is 
that IL-6 levels are elevated in some acutely ill patients with MDD (for review see Schmidt et al., 2011; Miller at 
al., 2009).  IL-6 is unique amongst the cytokines measured in the periphery in that it is more stable and less 
evanescent.  There are very reliable ELISA assays for plasma IL-6 and our group has over a decade of experience 
with these assays.  Furthermore, in a recently submitted meta-analysis of all studies investigating the blood 
cytokine levels in acutely ill patients with schizophrenia, bipolar disorder and MDD before and after treatment, 
we found that IL-6 was elevated in subjects with MDD (ES =0.76; CI 0.56- 0.95, P<0.02) (Miller, Goldsmith, 
Rapaport, submitted, Mol Psychiatry).  We also found that IL-6 levels decreased in response to conventional 
antidepressant treatment of the episode of MDD (ES -0.36, CI -0.62 to -0.09, P=0.01).  
 
There is little data from the depression literature to inform us about the amount of change IL-6 levels we would 
anticipate observing with EPA monotherapy in subjects with MDD and thus it is important to look to other studies 
investigating the impact of EPA on IL-6 levels. In studies of obesity, as the central obesity increased, the level of 
adipocyte synthesis of pro-inflammatory cytokines like tumor necrosis factor alpha (TNF-α) and IL-6 were 
increased, indicating a state of chronic inflammation, with the level of C reactive protein (CRP) synthesized from 
hepatocyte being increased by the influence of IL-6 (Ellulu et al., 2015). In a study by Tousoulis and colleagues 
(2014), a 19% reduction in IL6 levels from 0.26 to 0.19 pg/ml on omega-3 fatty acids compared to a reduction in 
IL6 levels from 0.29 to 0.27 pg/ml at 4 weeks was associated with markedly significant improvement of 
endothelial function and reduction in arterial stiffness among adults with metabolic syndrome. 
 
In molecular studies, omega-3 fatty acids show direct effects on reducing the inflammatory state by reducing IL-6 
and TNF-α (Ellulu et al., 2015).  Itariu and colleagues (2012) have shown that long chain omega-3 PUFA reduce 
the concentration of inflammatory markers such as IL-6 in obese subjects. Numerous studies have consistently 
shown that omega-3 PUFA reduce systemic and adipose tissue inflammation, induce anti-inflammatory gene 
expression in circulating mononuclear cells and improve metabolic control in severely obese, overweight and 
elderly subjects. (Ellulu et al., 2015; Itariu et al., 2015; Bakker et al., 2010; Bouwens et al., 2009). For all these 
reasons, we believe we should see a clear biosignature of EPA-enriched omega-3 fatty acid treatment through a 
reduction in the peripheral levels of IL-6 in overweight depressed patients and we would expect a clinically 
significant 15% change in IL-6 levels with EPA-enriched omega-3 fatty acid treatment compared to placebo.  
 
How EPA-enriched Omega-3 Fatty Acid Treatment May Lead to a Reduction in the Tumor Necrosis 
Factor-α Response to LPS Stimulation in Depressed Patients 
 
We propose performing complementary assessments of inflammation by measuring both peripheral plasma 
cytokine levels as well as mitogen-stimulated PBMC cytokine expression and production.  This allows us the 
opportunity to directly measure the impact of EPA therapy for overweight subjects with increased inflammation 
on PBMC, key functional components of the immune system involved in modulating acute and chronic 
inflammatory responses. 
 
A large body of preclinical evidence strongly supports the notion that EPA-enriched omega-3 fatty acid treatment 
should lead to a reduction in the TNF-α response to LPS stimulation in overweight depressed patients. In a study 
from our group (Wang et al., 2009), relative to control, macrophages exposed to EPA resulted in lower levels of 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
8 
 
TNF-α in the culture medium after stimulation with LPS. Of note, the relationship between inflammatory factor 
secretion and their mRNA levels was consistent for cells treated with EPA relative to the other cells. EPA has also 
been shown to down-regulate TNF-α secretion in human adipose tissue and adipocytes cultures (Murumalla et al., 
2012) and this is highly relevant to the population of overweight patients with MDD of the proposed study. In 
addition, male rats receiving a high n-3/n-6 PUFA ratio (1∶1, PUFA) diet showed a significant reduction in TNF-α 
levels compared to control diets (Liu et al., 2013). Fish oil has been shown to attenuate the activation of the HPA 
axis induced by LPS challenge by decreasing the production of brain/peripheral proinflammatory cytokines 
through inhibition of TLR4 and down regulating the mRNA expressions of TNF-α receptor-associated factor 6 
(Liu et al., 2013). A recent study in mice by Liu YH et al. (2015) has confirmed that omega-3 PUFA intervention 
can suppress LPS-induced inflammation via, at least in part, down-regulation of pro-inflammatory targets of the 
TLR4 signaling pathway. Treatment with omega-3 has also been shown to result in significant down-regulation of 
LPS-induced production of TNF-α by PBMCs (Chitenjali et al., 2015). Similarly, EPA in vitro effectively 
reduced LPS-induced TNF-α expression significantly when compared with arachidonic acid (Hao et al., 2010). 
Itoh et al. (2007) found that treatment with EPA at doses of 100 and 200 mol/L significantly suppresses the co-
culture-induced increase in TNF-α mRNA expression. Finally, after LPS challenge, pigs fed a diet supplemented 
with omega-3 fatty acids had significantly lower serum concentrations of TNF-α (Upadhaya et al., 2015). 
 
Several studies in healthy human volunteers involving supplementation of the diet with fish oil have demonstrated 
decreased production of TNF-α and IL-6 by LPS-stimulated monocytes or PBMC (Caughey et al., 1996; Meydani 
et al., 1991; Baumann et al., 1999; Trebble et al., 2003; Abbate et al., 1996). More specifically, PBMCs isolated 
from 9 subjects supplemented with 18 g/d of fish oil concentrate secreted reduced levels of TNF-α in response to 
stimulation with LPS (Endres et al., 1989). In addition, 9.4 g/d EPA + 5 g/d DHA for 10 weeks resulted in 
decreased neutrophil chemotaxis to LTB4 (Sperling et al., 1993). Supplementation with 1.62 g/d EPA + 1.08 g/d 
DHA for 4 weeks in 28 healthy volunteers reduced secretion of TNF-α by PBMCs, in response to LPS compared 
to secretion prior to dietary supplementation; the reduction in cytokine secretion inversely correlated with the 
EPA content of mononuclear cells (Caughey et al., 1996). It has been found that 2.3 g/d omega-3 PUFAs for 3 
months reduced ex vivo TNF-α secretion by PBMCs in response to concanavalin A (ConA) or 
phytohaemagglutinin (PHA) (Meydani et al., 1991). Trebble et al. (2003) demonstrated that supplementing 16 
healthy men with increasing concentrations of EPA + DHA over 12 weeks (0.3–2.0 g/d) inhibited TNF-α 
production in response to LPS. Based on these studies, we would expect a clinically significant 15% change in 
TNF-α production in response to LPS with EPA-enriched omega-3 fatty acid treatment compared to placebo.  
 
In view of the above, it is reasonable to suggest that imbalances in polyunsaturated fatty acids (PUFA) lead to the 
chronic low level stimulation of pro-inflammatory components of the immune system (acute phase proteins and 
cytokines) that may be either moderators and/or mediators of depressed states, and may play a role in the reversal 
of depression when omega-3s are administered. There is a notable lack of information investigating this 
hypothesis. A better understanding of the relationship between the omega-3 fatty acids and depression is likely to 
significantly extend our understanding of the pathophysiology and treatment of depression, as well as its 
increasingly appreciated interconnections with other disorders such as cardiovascular illness.  
 
We propose as a primary goal, to evaluate whether a dose-response relationship exists between dose of 
polyunsaturated fatty acids (PUFA), delivered as eicosapentaenoic acid (EPA), and change in markers of 
inflammation, and whether these effects differ from placebo. A key secondary aim is to evaluate the  
antidepressant effectiveness of EPA in overweight adult outpatients with current major depressive disorder 
(MDD). To address these aims, the project will use a four-arm, randomized, parallel-group, placebo-controlled 
design comparing placebo versus three doses of EPA (1 gm/day, 2 gm/day, or 4 gm/day) administered over 12 
weeks.  The study is to be conducted at two sites: Emory University School of Medicine, and Massachusetts 
General Hospital.  Eligible participants will be between the ages of 18-80 who have current MDD, are 
overweight, and who demonstrate peripheral inflammation, defined as an high sensitivity C-reactive protein level 
≥ 3 mg/L.  The primary outcome will be change in plasma IL-6 levels and/or mitogen-stimulated peripheral blood 
mononuclear cells (PBMC) TNF-α expression levels in EPA- versus placebo-treated participants.  
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
9 
 
The results of this investigation are intended to be used to design and power a larger definitive test of the efficacy 
and biological effects of EPA in patients with major depressive disorder. Our proposal has relevance to 
understanding the clinical and biological mechanisms of action of a widely used, effective, and safe natural 
antidepressant, as well as providing insight into the interrelationship between depression, stress, obesity, and 
immune function. 
 
II. SPECIFIC AIMS  
 
a. Specify objectives and hypotheses to be tested in the research project 
 
We plan to test our central hypotheses and accomplish the overall objective by pursuing the following specific 
aims: 
 
Specific Aim 1 (Primary Aim): To evaluate whether a dose-response relationship exists between dose of 
EPA and decrease either in plasma IL-6 levels or in mitogen-stimulated PBMC TNF-α expression and 
secretion, when compared with placebo. 
Hypothesis 1: Overweight subjects with MDD and hs-CRP levels ≥3.0 mg/l treated with 1g/day, 2g/day or 
4g/day of EPA will demonstrate a ≥0.40 effect size at both week 8 and week 12 for decrease in plasma IL-
6 levels and/or mitogen-stimulated PBMC TNF-α expression and secretion when compared with placebo-
treated subjects. The dose-response relationships on the two inflammatory markers will be explored. 
Specific Aim 2: To evaluate whether EPA treatment produces a decrease in ratings of depression 
severity, when compared with placebo-treated subjects; and whether the changes in IL-6 or mitogen- 
stimulated PBMC TNF-α expression will mediate changes observed in ratings of depression. 
 
Hypothesis 2a:  Overweight subjects with MDD and hs-CRP levels ≥ 3mg/l treated with 1g/day, 2g/day or 
4g/day of EPA will demonstrate a >0.35 effect size at both week 8 and week 12 for decrease in ratings of 
depression severity, as measured by the Inventory of Depressive Symptoms, Clinician-Rated version, 
when compared with placebo-treated subjects. The dose-response relationships on the depression score 
will be explored. 
Hypothesis 2b:  Changes in IL-6 and mitogen-stimulated PBMC TNF-α expression will mediate changes 
observed in ratings of depression. 
 
Exploratory Aim: To evaluate whether EPA treatment produces decreases in plasma TNF-α, leptin, hs-
CRP, and IL-1ra levels and mitogen-stimulated PBMC IL-6 expression, as well as in the expression of 
inflammation pathway-related genes. 
Hypothesis 3a: Overweight subjects with MDD and hs-CRP levels ≥ 3mg/l treated with 1g/day, 2g/day or 
4g/day of EPA will demonstrate a decrease in plasma TNF-α, leptin, hs-CRP, and IL-1ra levels and 
mitogen-stimulated PBMC IL-6 expression when compared with placebo-treated subjects. 
Hypothesis 3b): Overweight subjects with MDD and hs-CRP levels ≥ 3mg/l treated with 1g/day, 2g/day 
or 4g/day of EPA will demonstrate a decrease in the PBMC expression of genes involved in the 
inflammatory pathway when compared with placebo-treated subjects. 
 
 
III. SUBJECT SELECTION 
 
a. Inclusion/exclusion criteria 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
10 
 
Inclusion Criteria: 
To be included in the study, participants must meet all of the following: 
 
1. Ability to provide informed consent for study participation. 
2. Men or women aged 18-80 years old. 
3. Have a current primary psychiatric diagnosis of major depressive disorder (MDD), as defined by DSM-5 
criteria using the MINI v.7.0. 
4. A Screening and Baseline visit Inventory of Depressive Symptoms, Clinician rated (IDS-C30) total score 
≥ 25. 
5. Overweight at screening, defined as BMI > 25 kg/m2.. 
6. Screening visit high-sensitivity C-reactive protein concentration > 3 mg/L. 
7. Willing to not significantly modify their diet from the time they sign consent through the end of study 
participation.  
 
Exclusion Criteria: 
Potential participants will be excluded if they meet any of the following criteria:  
 
1. Use of any psychotropic agents within 2 weeks of the baseline visit, with the exception of prescription 
hypnotics (eszopiclone, zaleplon, zolpidem, suvorexant, ramelteon), diphenhydramine, or a stable daily 
dose of a benzodiazepine.  
2. Breastfeeding or pregnant women, women intending to become pregnant within 6 months of the 
screening visit, or women of child bearing potential who expect to engage in heterosexual sex during trial 
participation and are not using a medically accepted means of contraception (defined as oral contraceptive 
pill or implant, condom, diaphragm, IUD, status-post tubal ligation, or partner with vasectomy) 
3. Patients who, in the investigator’s judgement, pose a current, serious suicidal or homicidal risk.  
4. Serious or unstable medical illness that in the investigator’s opinion could compromise response to 
treatment or interpretation of study results. 
5. History of seizure disorder, except for childhood febrile seizures. 
6. Meeting DSM-5 criteria at any point in their lifetime, for any of the following: 
a. Neurocognitive Disorder 
b. Psychotic Disorder 
c. Bipolar disorder 
d. Anorexia Nervosa 
7. Meeting DSM-5 criteria in the 3 months prior to the screening visit for any Substance Use Disorder 
(except for nicotine or caffeine use disorder). 
8. Meeting DSM-5 criteria at screening for current obsessive compulsive disorder or bulimia nervosa. 
9. Presence of psychotic features at any time during the current major depressive episode. 
10. Any conditions or medications (within 1 week of baseline or during the trial) that might confound the 
biomarker findings, including: 
a. Regular ingestion of NSAIDs or COX-2 inhibitors, or any use of oral steroids, 
immunosuppressants, interferon, chemotherapy, or anticoagulants. 
i. NOTE: Patients will be instructed not to take an NSAID or COX-2 inhibitor in the 24  
hours prior to a biomarker assessment visit. 
b. Malignancy not in remission for at least 1 year. 
c. Active autoimmune disorder or inflammatory bowel disease. 
d. Insulin-dependent diabetes mellitus. 
11. History of severe sensitivity to soy products, fish products, or PUFA supplements. 
12. Laboratory evidence of undiagnosed hypothyroidism or any change in treatment for hypothyroidism in 
the 3 months prior to screening.  
13. Patients who have failed to respond during the course of their current major depressive episode to >4 
adequate antidepressant trials, defined as six weeks or more of treatment with the FDA-defined minimally 
effective dose.  

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
11 
 
14. Patients who have taken a supplement of at least 1 g/day of omega 3 fatty acids for at least 6 weeks 
during the current major depressive episode. 
15. Patients who have had electroconvulsive therapy (ECT) during the current depressive episode or within 6 
months of the screening visit. 
16. Patients who have taken supplements enriched with omega-3 fatty acids (see Appendix A for list of 
products) within sixty (60) days of the screening visit.   
17. Patients who, at baseline, are consuming a diet that contains more than 3g/day of omega-3 FA, or who 
consume more than 3 meals of fatty fish per week. 
18. Patients who have a history of a bleeding disorder. 
19. Patients who have participated in another clinical trial of an investigational medication within 1 month of 
the screening visit.  
20. Patients who are currently in psychotherapy that was initiated within 90 days prior to the study screening 
visit.  
 
b. Source of subjects and recruitment methods 
 
1)Patients in the Depression Clinical and Research Program (DCRP) at MGH and Emory University clinical 
practices and studies; 2) Referrals from members of the MGH and Emory Psychiatry Departments (over 600 and 
250 clinicians, respectively) and primary care physicians who will receive informational talks about the study; 3) 
Referrals from the MGH Weight Center and the Emory Nutrition and Metabolism Support Service, the Emory 
University Hospital Center for Clinical and Molecular Nutrition, and the Emory Bariatric Service (family 
members of patients), and primary care practices at Brigham and Women’s Hospital; 4) IRB-approved flyers, 
web, newspaper, TV, radio and MBTA advertisements; and 5) MGH Patients in the Research Patient Data 
Registry (RPDR) system who have consented to be contacted through the Research Opportunities Direct to You 
(RODY) program. We will also seek approval to recruit study participants at Grady Health System in Atlanta, 
GA. Emory will also utilize an existing study participant pool as a recruitment strategy from existing Emory IRB-
approved studies (IRB 00062830, PI: C.Gillespie and IRB 0078593, PI: T. Jovanovic). 
Retention feasibility: 
In our previous clinical trials our attrition rates were < 20% overall. We expect a comparable or lower attrition 
rate in this study for several reasons: 1) The focus on overweight individuals will allow us to expand our usual 
recruitment base, and these subjects should be particularly invested in the study, given the severity of being 
overweight and its impact on mood, and 2) All subjects will be offered free three-month follow-up treatment at 
the conclusion of the study.  
IV. SUBJECT ENROLLMENT 
 
a. Methods of enrollment, including procedures for patient registration and/or randomization 
 
The subjects will be recruited through advertisements and clinical referrals from psychiatrists and general 
physicians who are treating outpatients with MDD.  Participants must agree not to significantly modify their diet 
during the 12 weeks of the study.  
 
Approximately 400 adult MDD patients (ages 18-80) will be enrolled in the study, and approximately 100 of 
these participants will be randomized to enter the 12-week double-blind treatment period.  Because the primary 
statistical analysis is based on the analysis of 80 per-protocol completers, the actual number enrolled may differ 
from 100, based on the participant early termination rates.  Each of the four study arms (3 EPA arms and one 
placebo arm) will have 25 patients, with the expectation of 20 completers per arm, based on a 20% early 
termination rate.  
 
The target sample of 80 per-protocol completers will be based on the following criteria: 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
12 
 
• 
Complete 12 weeks of treatment and the week 12 biomarker and clinical assessments within the protocol-
defined visit window. 
• 
Adhere to the study treatment, defined as taking between 80-125% of the study medication 
• 
Do not report engaging in any major protocol violations during the trial that would threaten the validity of 
the clinical or biological data, including: 
o Taking any antidepressant or mood stabilizing medication. 
o Taking any immune-modulating drugs, other than those permitted in the protocol. 
o Taking any illicit drugs 
o Starting a new course of an evidence-based psychotherapy for depression. 
 
b. Procedures for obtaining informed consent  
 
The subjects for this study must be capable of understanding the nature of this study as well as the discomforts 
and potential benefits.  These will be explained in full by licensed physician investigators, and subjects interested 
in participating will then be asked to sign a consent form. 
 
c. Treatment assignment, and randomization  
 
Patients screened for the study and found to be eligible will return for their baseline visit after one week, during 
which no psychotropic medication or PUFAs will be administered. Patients must have an IDS-C30 total score ≥ 
25 at the baseline visit in order to be eligible for randomization. The baseline IDS-C30 may be administered either 
by telephone 48 hours prior to V3, or in person at V3. 
 
The double-blind treatment phase starts with the baseline visit and ends with the Week 12 visit (V9).  Participants 
will be seen every two weeks during this phase to assess change in depressive symptoms, adverse events, and to 
assess changes in biomarkers. Fasting blood draws will occur at visits 3, 5, 7, and 9. We will ask participants to 
fast from the midnight prior to the visit until after the blood draw. We will ask them to not eat any food or drink 
anything besides coffee, tea, or water until after the blood draw is complete. They can take any normal 
medications they take every morning as well. 
 
Randomization will be in randomly permuted blocks of 4 or 8 with separate randomization schedules for each 
site. The randomization schedule for each site will be created by a statistician who has no other role in the study 
data collection or analysis.  The randomization schedules will be sent directly from the statistician to each site’s 
Research Pharmacy which will maintain the list.  Qualifying study subjects will be assigned the next sequential 
treatment assignment on the randomization schedule, in the order they are randomized. 
 
If a study participant is unable to attend their scheduled V4, V6, or V8 appointments, all assessments can be 
completed over the phone and the visit should continue as usual. Vitals will not be collected for a visit completed 
over the phone. The participant will be directed to take pills from their extra blister pack until new study 
medication can be mailed overnight to the participant’s home. The study participant will have the opportunity to 
complete their self-report forms online, or they will have their self-report forms mailed overnight to their home, 
along with a return envelope so that the participant can either mail back or scan in their completed self-report 
forms for the visit. Compensation for this visit will be issued at the following scheduled visit. Completion of the 
visit over the phone may not take place if the participant is ill and may not occur more than two times with each 
study participant. 
Patients will be randomized to one of four treatment arms:  1) EPA 1 g/day; 2) EPA 2 g/day; 3) EPA 4 g/day; or 
4) Placebo capsules that are matched to the EPA capsules in terms of appearance, odor, and taste.   At the time of 
randomization, the study coordinator will contact the Research Pharmacy to complete the coded treatment 
assignment described below.  
 
Blinding of randomized treatment will be ensured as follows:  The randomization list maintained by the 
Investigational Research Pharmacies will contain the actual treatment assignment, along with a letter code (A, B, 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
13 
 
C, or D) corresponding to one of the 4 treatment groups - with this correspondence being decided and 
communicated between the 2 pharmacies at the start of the study.  Throughout the study period and continuing 
until the major hypotheses have been tested and reported, the correspondence of letter-coded treatment 
assignment to actual treatment (one of 3 EPA doses or placebo) will be known only by pharmacy staff.  The study 
PI, study coordinators, clinicians conducting outcome assessments, and study statistician, as well as research 
assistants interacting with patients or entering/editing study data and laboratory technicians performing and 
reporting biomarker and PUFA assays, will have no access to any subject’s actual treatment assignment.  
Conversation among study staff, or between subjects and staff concerning speculated assignment will be strongly 
discouraged.  Only after the study statistician has completed and reported analyses by coded treatment assignment  
for study Aim 1 (primary hypothesis, concerning impact of treatment on plasma IL-6 levels or in mitogen-
stimulated PBMC TNF-α expression and secretion) and Aim 2a (secondary hypothesis, concerning impact of 
treatment on IDS-C scores) will the correspondence between letter codes and actual treatment be revealed to study 
personnel.  The only exception to this blinding procedure is that a pharmacist with access to actual treatment 
assignment may unblind a subject in order to establish the proper follow-up treatment for any subject who 
develops a serious adverse event that is possibly related to PUFA treatment; if this occurs, follow-up of the 
subject will be handled by a physician who is not involved in the study.   
 
d. Subject Compensation   
At Emory, participants will receive $30 for each completed screening visit (V1 and V2). Beginning with Visit 3, 
Emory participants will receive $40 for each completed study visit with fasting blood draws (V3, V5, V7, and V9) 
and $20 for each completed study visit without blood draws (V4, V6, and V8). Participants at MGH will receive 
$20 for the first screening visit and $25 for the second screening visit. After randomization, MGH participants 
will receive $40 for every visit they attend with a fasting blood draw (visits 3, 5, 7, and 9) and $25 for the visits 
without fasting blood draws (visits 4, 6, and 8). If participants do not finish the study, we will compensate them 
for the visits they have completed. At both sites, if participants complete all study visits, they will receive $280 
total. Parking vouchers will be provided for the MGH garages and patient transportation costs of up to $25 per 
study visit will be remunerated as to relieve the burden of travel expenses. Study participants coming from Grady 
Health System to Emory University may be reimbursed for transportation or their transportation expense may be 
paid with an Emory-owned credit card. In case study visits are performed at Grady Health System, study 
participants will be remunerated for their study visit as well as for parking (vouchers preferred). Parking at 
Emory’s main study location is free, so travel expenses will not incur for study participants coming to the main 
study’s location. 
 
V. STUDY PROCEDURES 
 
a. Study visits and parameters to be measured  
 
Approximately 400 patients will enter the 12-week four-arm, randomized, parallel-group, placebo-controlled 
design, which includes randomization of 25% of the patients to 1g/day of EPA, 25% of the patients to 2g/day of 
EPA, 25% to 4g/day of EPA, and 25% of the patients to placebo. Each arm will have 100 patients, with the goal 
of achieving 80 completers per arm, and assuming a 20% early termination rate. The subjects will be drawn 
through primary care physicians, the MGH Weight Center, the Emory Nutrition and Metabolism Support Service, 
the Emory University Hospital Center for Clinical and Molecular Nutrition, the Emory Bariatric Service, Grady 
Health System and IRB-approved flyers, newspaper, TV, radio, MBTA advertisements, and clinical referrals.  
 
i. SCREENING PHASE 
Due to the need for participants to have a hs-CRP > 3 mg/L to be eligible for the study, two screening visits will 
be used to minimize expenses associated with screening. However, elements of the screening visits (V1 and V2) 
may be combined as needed (i.e., if a participant prefers to complete screening in one office visit due to 
time/transportation constraints). The screening period may extend up to 28 days prior to the baseline visit (V3) if 
necessary to allow for time need for participant scheduling, washout of any psychotropic medications, and allow 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
14 
 
for any required repeat laboratory testing. 
For study participants at the Emory sites, a portion of the assessments may be performed at the Atlanta Clinical 
Translational Science Institute (ACTSI), an Emory and Grady based entity, providing research space and 
resources for Emory and Grady faculty. 
Study participants can choose whether to have all study visits done at Emory or Grady.  
 
Visit 1:  
The goal of this visit is to allow identification of easily identified exclusionary criteria, and to establish that the 
participant meets the inclusion criteria necessary to proceed to Visit 2. 
The first screening visit, Visit 1, will require approximately 90 minutes during which the following procedures 
will be performed: 
1. Informed consent process 
2. Collection of demographic information 
3. Establish that the participant is in a current major depressive episode, using the MINI Mood module 
4. Establish that the severity of depressive symptoms is sufficient for eligibility, using the IDS-C30 
5. Establish that subject is overweight, using height and weight 
6. Establish fatty fish consumption frequency, to ensure participant consumes no more than three meals 
of fatty fish per week. 
7. Vital signs assessment 
8. Urine drug screen 
9. Blood draw for hs-CRP 
10. Review of concomitant medications and supplements used by the participant 
11. Give copy of Food Record to the participant to complete for the three days prior to V2 
 
Visit 2: 
 
The goal of Visit 2 is to confirm all eligibility criteria are met for the participant to proceed to the baseline visit.  
Visit 2 will occur approximately 3 days after Visit 1. The washout period, if necessary, will begin during this visit 
and will vary according to subject’s current medication(s), dose, and study physician’s discretion, and will be 
completed at least 2 weeks prior to the baseline visit. This visit will require approximately 90 minutes, during 
which the following procedures will be performed: 
1. Collect Food Diary and complete Food Processor Report to ensure participant does not have a diet that 
involves consumption of  >3 g/day of omega-3 FA 
2. Completion of MINI to identify excluded and comorbid psychiatric disorders 
3. Confirmation of psychiatric diagnosis by interview by psychiatrist 
4. Medical history and physical exam 
5. 12-Lead electrocardiogram (EKG) 
6. Laboratory screening, including: 
a. Complete blood count 
b. Comprehensive metabolic panel (blood chemistry), including liver function tests 
c. Thyroid function tests 
d. Urinalysis 
e. Urine pregnancy test for women of child bearing potential 
7. Columbia Suicide Severity Rating Scale, lifetime version 
 
ii. DOUBLE-BLIND TREATMENT PHASE 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
15 
 
The double-blind treatment phase starts with the baseline visit and ends with the Week 12 visit (V9).  Participants 
will be seen every two weeks during this phase to assess change in depressive symptoms, adverse events, and to 
assess changes in biomarkers.  
 
Visit 3 (Baseline Visit): 
Participants completing screening will proceed to the baseline visit. This visit will require approximately 120 
minutes and will involve confirmation of continued eligibility, biomarker collection, randomization, instruction 
on study medication, and completion of self-reports. The baseline IDS-C30 may be administered either by 
telephone 48 hours prior to V3, or in person at V3. The following procedures will be performed at this visit: 
1. Vital signs and weight 
2. Assessment of adverse events 
3. Review of concomitant medications 
4. Tobacco History 
5. Clinician-rated instruments, including: 
a. IDS-C30 to confirm total score ≥25 to permit randomization 
b. CSSRS 
c. CGI-S 
d. Hamilton Anxiety Rating Scale 
6. Urine pregnancy test for women of child-bearing potential 
7. Phlebotomy for biomarker samples including: 
a. Plasma for IL-1ra, IL-6, TNF-α, and leptin 
b. Plasma for C-reactive protein 
c. PBMC for mitogen-stimulated PBMC TNF-α and IL-6 expression and secretion levels  
d. Plasma for Specialized pro-resolving lipid mediators (SPMs) 
8. Self-reports, including: 
a. Childhood Trauma Questionnaire (CTQ) 
b. Perceived Stress Scale (PSS) 
c. Life Experiences Survey (LES) 
d. Berlin Questionnaire 
e. Patient Health Questionnaire-15 (PHQ-15) 
f. Symptoms of Depression Questionnaire (SDQ) 
g. United States Index of Deprivation (USiDep) 
h. Sheehan Disability Scale (SDS) 
i. 
Quality of Life Satisfaction Questionnaire (Q-LES-Q) 
j. 
Cognitive and Physical Functioning Questionnaire (CPFQ) 
9. Randomization and dispensing study medication 
 
Visit 4 (Week 2): 
This visit will occur 14 (±3) days after V3.  This visit will require about 60 minutes, during which the following 
procedures will be performed: 
1. Assessment of adverse events 
2. Review of concomitant medications 
3. Clinician-rated instruments, including: 
a. IDS-C30  
b. CSSRS 
c. CGI-S 
d. CGI-I 
4. Self-reports, including: 
a. PSS 
b. SDQ 
5. Dispensing of study medication and collection of unused study medication 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
16 
 
Visit 5 (Week 4): 
This visit will occur 14 (±3) days after V4.  This visit will require about 90 minutes, during which the following 
procedures will be performed: 
1. Vital signs and weight 
2. Assessment of adverse events 
3. Review of concomitant medications 
4. Clinician-rated instruments, including: 
a. IDS-C30  
b. CSSRS 
c. CGI-S 
d. CGI-I 
e. HAM-A 
5. Self-reports, including: 
a. PSS 
b. PHQ-15 
c. SDQ 
d. SDS 
e. Q-LES-Q 
f. CPFQ 
6. Phlebotomy for biomarker samples (same as Visit 3) 
7. Dispensing of study medication and collection of unused study medication 
 
Visit 6 (Week 6): 
This visit will occur 14 (±3) days after V5.  This visit will require about 60 minutes, during which the following 
procedures will be performed: 
1. Assessment of adverse events 
2. Review of concomitant medications 
3. Clinician-rated instruments, including: 
a. IDS-C30  
b. CSSRS 
c. CGI-S 
d. CGI-I 
e. Assessment of Blinding 
4. Self-reports, including: 
a. PSS 
b. SDQ 
c. Assessment of Blinding 
5. Dispensing of study medication and collection of unused study medication 
 
Visit 7 (Week 8): 
This visit will occur 14 (±3) days after V6.  This visit will require about 90 minutes, during which the following 
procedures will be performed: 
1. Vital signs and weight 
2. Assessment of adverse events 
3. Review of concomitant medications 
4. Clinician-rated instruments, including: 
a. IDS-C30  
b. CSSRS 
c. CGI-S 
d. CGI-I 
e. HAM-A 
5. Self-reports, including: 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
17 
 
a. PSS 
b. PHQ-15 
c. SDQ 
d. SDS 
e. Q-LES-Q 
f. CPFQ 
6. Phlebotomy for biomarker samples (same as Visit 3) 
7. Dispensing of study medication and collection of unused study medication 
 
Visit 8 (Week 10): 
This visit will occur 14 (±3) days after V7.  This visit will require about 60 minutes, during which the following 
procedures will be performed: 
1. Assessment of adverse events 
2. Review of concomitant medications 
3. Clinician-rated instruments, including: 
a. IDS-C30  
b. CSSRS 
c. CGI-S 
d. CGI-I 
4. Self-reports, including: 
a. PSS 
b. SDQ 
5. Dispensing of study medication and collection of unused study medication 
 
Visit 9 (Week 12)   [ALSO EARLY TERMINATION VISIT]: 
 
This visit will occur 14 (±3) days after V8.  This visit will require about 90 minutes, during which the following 
procedures will be performed: 
1. Vital signs and weight 
2. Assessment of adverse events 
3. Review of concomitant medications 
4. Clinician-rated instruments, including: 
a. IDS-C30  
b. CSSRS 
c. CGI-S 
d. CGI-I 
e. HAM-A 
f. Assessment of Blinding 
5. Self-reports, including: 
a. PSS 
b. PHQ-15 
c. SDQ 
d. SDS 
e. Q-LES-Q 
f. CPFQ 
g. LES 
h. Assessment of Blinding 
6. End of Treatment urine pregnancy test for women of child-bearing potential. Women of child-bearing 
potential will be advised to continue their method of contraception for at least one week after the last dose 
of study medication. 
7. Physical Exam 
8. Phlebotomy for biomarker samples (same as Visit 3) 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
18 
 
9. Collection of unused study medication 
Safety Data 
The routine laboratory tests (complete blood count, urinalysis and clinical chemistry tests) will be performed at 
each site. Blood will be collected and analyzed for the screening tests and biomarker analyses. Urine samples will 
be collected and analyzed with a toxicology screen and urinalysis. We will collect physical records in the form of 
questionnaires, phone screenings, and psychiatric interviews. We will request access to participants’ medical 
records only for reasons related to patient safety. Participant case report forms will be kept in locked file cabinets 
in the offices of each study site. 
 
Biological specimens are linked to the individual patient only through a unique research code. All documents that 
directly reveal the participant’s identity, such as signed consent forms, are stored in charts that are marked on the 
outside only with the participant’s code number.  
 
At each visit, an experienced clinician will perform assessment of suicide risk and safety status using the C-SSRS 
and a clinical evaluation.   
 
Washout Out Period 
If study participants are currently on a medicine for psychiatric symptoms (except medicines for sleep or anxiety 
problems) they will need to stop taking them 2 weeks before their baseline visit (Visit 3). Safety monitoring will 
occur per standard-of-care at each site. If symptoms of major depression worsen significantly during this washout 
period, including thoughts about suicide or homicide, study participation can be terminated by any study physician 
and other alternatives will be discussed.  
 
b. Drugs to be used  
 
1. Study capsules containing EPA-enriched omega-3, 500 mg tabs, supplied by Nordic Naturals. 
2. Placebo capsules matching the EPA 500 mg tabs, also to be supplied by Nordic Naturals.  
 
Blister packs with EPA- and placebo-tablets will be stored at each site’s investigational pharmacy.  The blister 
packs will be prepared by each site’s investigational pharmacy. The investigational pharmacy will keep the 
randomization list and dispense the blister packs containing the study medication for each visit during the 
randomized phase. Participants will be given two blister packs per week. The patient will take one row of four 
pills at each dosing period totaling 8 pills per day. There will be two additional blister packs dispensed at the 
beginning of the study, along with a replacement blister pack if needed (7 extra days in case of scheduling issues 
for the entire trial). 
 
All groups will be instructed to take four capsules of the study medication (or placebo) every morning and another 
four capsules every afternoon or evening for a total of 8 capsules per day.  
 
c. Devices to be used 
None 
 
d. Procedures/surgical interventions, etc. 
None 
 
e. Data to be collected and when the data is to be collected 
 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
19 
 
 
Data collection and visit schedule are summarized in the table below: 
Study Phase 
Screening 
Double-blind Treatment  
Visit Number 
V1 
V2 
V3 
V4 
V5 
V6 
V7 
V8 
V9 
Week 
-3 - -2 
-1 
0 
2 
4 
6 
8 
10 
12 
Day 
-28 - -10 
-7 
0 
14 
28 
42 
56 
70 
84 
Informed consent 
X 
 
 
 
 
 
 
 
 
Demographics 
X 
 
 
 
 
 
 
 
 
Fatty fish consumption 
X 
 
 
 
 
 
 
 
 
Vital signs 
X 
 
X 
 
X 
 
X 
 
X 
Height 
X 
 
 
 
 
 
 
 
 
Weight 
X 
 
X 
 
X 
 
X 
 
X 
Psych/Medical History 
 
X 
 
 
 
 
 
 
 
Physical examination 
 
X 
 
 
 
 
 
 
X 
12-lead EKG 
 
X 
 
 
 
 
 
 
 
MINI v.7.0 
 
X 
 
 
 
 
 
 
 
MINI Depression Module 
X 
 
 
 
 
 
 
 
 
Tobacco History 
 
 
X 
 
 
 
 
 
 
Dispense Study Drug 
 
 
X 
X 
X 
X 
X 
X 
 
Blinding Evaluation 
 
 
 
 
 
X 
 
 
X 
Laboratory Tests 
 
 
 
 
 
 
 
 
 
hs-CRP - Screening 
X 
 
 
 
 
 
 
 
 
Complete blood count 
 
X 
 
 
 
 
 
 
 
Comprehensive Metabolic 
Panel 
 
X 
 
 
 
 
 
 
 
Urinalysis 
 
X 
 
 
 
 
 
 
 
Urine drug screen 
X 
 
 
 
 
 
 
 
 
Urine Pregnancy 
 
X 
X 
 
 
 
 
 
X 
Thyroid function test 
 
X 
 
 
 
 
 
 
 
Biomarker Testing 
 
 
X 
 
X 
 
X 
 
X 
n-3, n-6, and Ratio 
 
 
X 
 
X 
 
X 
 
X 
Psychiatric Measures 
 
 
 
 
 
 
 
 
 
IDS-C30 
X 
 
X 
X 
X 
X 
X 
X 
X 
CGI-S 
 
 
X 
X 
X 
X 
X 
X 
X 
CGI-I 
 
 
 
X 
X 
X 
X 
X 
X 
C-SSRS 
 
X 
X 
X 
X 
X 
X 
X 
X 
HAM-A 
 
 
X 
 
X 
 
X 
 
X 
CTQ 
 
 
X 
 
 
 
 
 
 
SDQ 
 
 
X 
X 
X 
X 
X 
X 
X 
PSS 
 
 
X 
X 
X 
X 
X 
X 
X 
PHQ-15 
 
 
X 
 
X 
 
X 
 
X 
Food Diary 
X 
 
 
 
 
 
 
 
 
Food Processor Report 
 
X 
 
 
 
 
 
 
 
SDS, Q-LES-Q, CPFQ 
 
 
X 
 
X 
 
X 
 
X 
Life Experiences Survey 
 
 
X 
 
 
 
 
 
X 
USiDep 
 
 
X 
 
 
 
 
 
 
Berlin Questionnaire 
 
 
X 
 
 
 
 
 
 
Safety Measures 
 
 
 
 
 
 
 
 
 
Concomitant Meds 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Adverse Events 
 
X 
X 
X 
X 
X 
X 
X 
X 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
20 
 
CGI-I, CGI-S: Clinical Global Impression-Improvement, -Severity; CPFQ: Cognitive and Physical Functioning 
Questionnaire; CSSR: Columbia Suicide Severity Rating Scale; CTQ: Childhood Trauma Questionnaire; HAM-A: 
Hamilton Anxiety Rating Scale; IDS-C30: 30-item Inventory of Depressive Symptoms-Clinician rated; LFTs: Liver 
function tests; MINI: Mini-International Neuropsychiatric Interview; PHQ-15: Patient Health Questionnaire-15 
item; PSS: Perceived Stress Scale; Q-LES-Q: Quality of Life Satisfaction Questionnaire; SDS: Sheehan Disability 
Scale; SDQ: Symptoms of Depression Questionnaire; USiDep: United States Index of Deprivation. 
 
*Please see Appendix B for a description of scales. 
 
Biomarker Sample Collection 
 
Whenever possible all blood samples for biomarker analysis will be collected between 7:30 am and 11 am, after 
30 minutes of rest, or at the discretion of the principal investigator.  This time restriction does not apply to the 
screening visit laboratory tests, which may be performed at any time of day.  
 
g. Laboratory Procedures  
 
Blood collection: Whole blood for plasma and peripheral blood mononuclear cells (PBMCs) will be collected into 
EDTA vacutainer tubes. Plasma will be separated by centrifugation at 1000 x g for 20 minutes at 4ºC, aliquoted 
into chilled siliconized polypropylene tubes and stored at -80ºC until batch assayed for plasma cytokine and hs-
CRP analyses. Plasma will be replaced by saline for the isolation of PBMCs on a ficoll-hypaque gradient using 
CPT tubes. PBMCs will be aliquoted to be used fresh for stimulation assays and stored in freezing serum (90% 
fetal bovine serum, 10% DMSO) at -80ºC for nuclear extraction or mRNA isolation. We will also collect a 10cc 
plasma sample to send to Dr. Charles Serhan at Brigham and Women’s Hospital, Boston for measurement of 
Specialized Pro-Resolving lipid mediators (SPMs).  These will be run  using lipid mediator 
metabololipidomics analytical methods, as described by Dalli & Serhan (2012) and Colas et al (2014). 
Briefly, deuterium-labeled internal standards (0.5 ng) are added to plasma aliquots [d5-RvD2, d8-5-
hydroxyeicosatetraenoic acid (d8-5-HETE), d4-leukotriene B4 (d4-LTB4), d5-lipoxin A4 (d5-LXA4) and d4-
prostaglandin E2 (d4-PGE2) to facilitate quantification of mediator recovery. Samples are extracted using 
SPE columns, eluted with methyl formate, and organic solvent evaporated using a nitrogen stream. 
Samples are suspended in methanol for analysis by liquid chromatography coupled with tandem mass 
spectroscopy (LC-MS/MS), using QTrap ABI 5500 (ABSciex, Framingham, MA).  
 
1. The following procedures will be performed at Emory University 
 
Plasma cytokines: Customized Fluorokine MAP Multiplex Human Biomarker Panels (R&D Systems, 
Minneapolis, MN) will be used to measure plasma TNF-alpha and IL-6. These inflammatory markers were 
chosen based on their reliable changes in depression and previous studies demonstrating their change in response 
to anti-inflammatory therapies. Each determination requires 50-100μl, and all samples will be assayed in duplicate 
according to manufacturer’s instructions. Quality control plasma of both low and high cytokine concentrations 
will be included with every assay. The mean inter- and intra-assay coefficients of variation for control samples are 
reliably 10% or less. Cytokines will be expressed in pg/ml. Plasma samples from each subject will be assayed 
together to avoid inter-assay variability.   
 
C-reactive protein (CRP): Plasma CRP will be assessed with a high sensitivity turbidimetric assay as previously 
described.(Raison et al, 2013) Sensitivity of the assay is rated at 0.18 mg/L, range of measure is 0.2 to 80 mg/L, 
and functional sensitivity (at 20% CV) is 0.2 mg/L. Plasma samples from each subject will be assayed together to 
avoid inter-assay variability.   
 
LPS Stimulation: For stimulated cytokine production and gene expression, 100ul of 2.5 X 106 cells/ml freshly 
isolated PBMCs will be plated with either media alone or media + 10 ng/ml LPS and incubated at 37°C in 5% 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
21 
 
CO2 for 5 hours.  Supernatant and cells will then be collected separately and stored at -80°C for analysis of 
cytokine protein and gene expression as described above.    
 
2. The following procedures will be performed at Tufts-NEMC.  
 
LPS Stimulation: For stimulated cytokine production and gene expression, 100ul of 2.5 X 106 cells/ml freshly 
isolated PBMCs will be plated with either media alone or media + 10 ng/ml LPS and incubated at 37°C in 5% 
CO2 for 5 hours.  Supernatant and cells will then be collected separately and stored at -80°C for analysis of 
cytokine protein and gene expression as described above.    
 
Gene Expression: RNA will be isolated from stored PBMCs using an RNeasy mini kit (Qiagen, Valencia, CA). 
cDNA will be synthesized from RNA using a Reverse Transcription System (Promega, Madison,WI) according to 
the manufacturer's instructions. Real Time PCR will be performed using SYBR green and Quantitect primer 
assays (Qiagen,Valencia,CA) for human TNF-alpha (QT00029162) and IL-6 (QT00083720) actin (QT00095431) 
and glyceraldehyde3-phosphate dehydrogenase (GAPDH) (QT00079247) on a real-time PCR 7300 (Applied 
Biosystems,Foster City, CA). Relative quantification (ΔΔCt) will be used to assess expression of target genes, 
using actin or GAPDH as an endogenous control. 
 
The investigators of the proposed research have extensive experience in running the proposed assays including 
expertise in plasma cytokine determinations (Raison et al, 2009; Raison et al, 2010a; Raison et al, 2010b, Raison 
et al, 2013), measurement of CRP (Raison et al, 2013), and conducting tissue culture experiments involving cell 
stimulation.(Kaori et al, 2015; Rapaport et al, 2010; Rapaport et al, 2012; Tsunoda et al, 2015). 
 
3. The following procedures will be performed at Brigham and Women’s Hospital-Harvard (Dr. Serhan’s lab)  
 
Dr. Serhan’s Lab is located at the Center for Experimental Therapeutics and Reperfusion Injury at Harvard 
Medical School. He will use de-identified plasma samples to run lipid mediator metabololipidomics analyses. 
Specifically, he will analyze SPMs which include lipoxins, resolvins, protectins, and maresins. These SPM’s are 
enzymatically biosynthesized during resolution of self-limited inflammation, thus providing a biological rationale 
for a potential reduced CRP-level during and after DHA/EPA treatment. 
Targeted SPMs and their precursors, among others, are EPA lipid mediators 18-HEPE. 5-HEPE, 12-HEPE, 15-
HEPE, RvE1 and RvE2 as well as DHA lipid mediators 17-HDHA, 14-HDHA, RD1 and PD1.  
Changes in Leukotrienes (LTB-4), prostaglandins (PGE-2, PGD-2, PGF2a) as well as thromboxane (TXB-2) will 
also be identified. 
 
VI. BIOSTATISTICAL ANALYSIS 
 
a. Specific data variables being collected for the study 
 
The primary outcome is the change in plasma IL-6 levels or mitogen-stimulated PBMC TNF-α expression levels. 
Additional biological outcomes include changes in plasma TNF-α, leptin, hs-CRP, and IL-1ra levels and mitogen-
stimulated PBMC IL-6 levels. 
 
For the secondary aim of assessing antidepressant efficacy, change in IDS-C30 score will be the key outcome 
measure. Additional secondary measures of antidepressant efficacy will include change in IDS-C30, CGI-S, and 
CGI-I ratings, IDS-C30 response rate (defined as ≥50% reduction from baseline score), QIDS-C remission rate 
(defined as endpoint score ≤5; score extracted from IDS-C30 scale), and attainment of a CGI-I score of 2 or less 
by the end of treatment. 
 
b. Study endpoints 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
22 
 
Endpoints will be defined as change from baseline to Weeks 4, 8, and 12 for the inflammatory biomarkers, and 
change from baseline to bi-weekly depression scores; when possible these measures will be obtained at the 
termination/final visit for patients who choose to (or have to) end participation in the study prematurely. 
 
Patients may choose to withdraw from the study at any time.  
 
Participants may be withdrawn by the investigator should any of the following occur:   
(1) severe, persistent intolerance to study medication  
(2) worsening of depressive symptoms such that the subject’s safety is endangered (e.g. suicidality) 
(3) development of mania or psychotic symptoms 
(4) a serious adverse event (SAE) that is either:  
i) considered by the investigator to be possibly, probably, or definitely related to the study 
medication, or 
ii) places the subject at increased risk of harm if she were to continue in the study  
(5) persistent non-adherence to the study medication, defined as not taking between 80-120% of the study 
medication pills for two consecutive visits 
(6) development of pregnancy 
 
a. Suicide risk among patients treated with antidepressant 
Patients with MDD may experience worsening of their depression and/or the emergence of suicidal ideation and 
behavior (suicidality), whether or not they are taking antidepressant medications, and this risk may persist until 
MDD remission occurs.  This guidance is consistent with global class labelling for antidepressants. Although 
there has been a long-standing concern that antidepressants may have a role in inducing worsening of depression 
and the emergence of suicidality in certain subjects, a causal role for antidepressants in inducing such behaviors 
has not been established. Nevertheless, subjects being treated with study medication will be observed closely for 
clinical worsening and suicidality, especially at the beginning and end of the course of treatment. Consideration 
will be given to possibly discontinuing the investigational product in subjects whose depression is persistently 
worse or whose emergent suicidality is severe or abrupt in onset or was not part of the subject’s presenting 
symptoms. To assess suicidal ideation and behaviors, the CSSRS will be used in this trial. 
 
The following symptoms, anxiety, agitation, panic attacks, insomnia, irritability, hostility, impulsivity, akathisia 
(psychomotor restlessness), hypomania, and mania, have been reported in patients being treated with 
antidepressants for MDD. Consideration will be given to possibly discontinuing the study medication in subjects 
for whom such symptoms are severe, abrupt in onset, or were not part of the subject’s presenting symptoms. 
 
Operationalized Discontinuation Criteria for Suicidality: 
Research participants are exited from the study should any of the following occur: 
• 
Any emergent CSSRS defined suicidal behavior  
• 
A suicidal ideation score of 5 (indicating active suicidal ideation with specific plan and some level of intent) 
on the CSSRS 
• 
In the absence of a CSSRS suicidal ideation score of 5 or CSSRS-defined suicidal behavior, the investigator 
determines the patient to have a significant short-term risk for a suicide attempt.   
 
b. Pregnancy 
Any participant who becomes pregnant during the study will be withdrawn from the study.  The investigator will 
collect pregnancy information, record it on the Pregnancy Form, and submit it to the lead site PI, Mark Rapaport, 
MD, via email within 2 weeks of learning of a participant's pregnancy.  The participant will also be followed to 
determine the outcome of the pregnancy.  Follow-up is expected to end approximately 8 weeks following the 
estimated delivery date.  Any premature termination of the pregnancy will be reported.  While pregnancy itself is 
not considered to be an AE or SAE, any pregnancy complication or elective termination of a pregnancy for 
medical reasons will be recorded as an AE. A spontaneous abortion is always considered an SAE and will be 
reported as such. 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
23 
 
 
c. Procedures for Early Terminating Participants 
All randomized participants who terminate the trial prior to the Week 12 visit will be asked to return for an early 
termination visit.  The study team should complete all the Week 12 assessments at the study termination visit, 
with the exception of collecting blood samples.  All subjects who complete the trial or discontinue because of 
withdrawal of consent, lack of response, side effects, or investigator decision will receive treatment as clinically 
appropriate and will then be referred for appropriate follow-up care.  
 
c. Statistical methods 
Preliminary Data Analyses:   
 
Data Completeness and Quality:  During the study, every reasonable effort will be made to minimize potential 
missing data.  Self-report data provided by study subjects will be reviewed by study staff for completeness and 
quality (such as multiple answers when one response is allowed) and any problems will be resolved prior to the 
subject leaving the premises.  Any incomplete data, illegible, or questionable provided by clinicians will be 
resolved through feedback with the clinician, within a day following the study visit.  The REDcap system will 
flag any remaining data quality problems (such as data values outside the expected range) during data entry; any 
problems will be resolved before the record is added to the database.  Extensive quality control procedures for 
handling and assaying laboratory samples will be carried out to ensure complete and valid biological data.  Early 
in the study and periodically throughout the period of data collection, data will be reviewed by the study 
Statistician for completeness, consistency, and other indicators of data quality in a blinded fashion.  Missing data 
will be described but will be inexplicitly imputed in all analyses by using only available data.  
 
Baseline Characteristics: Demographic and key baseline clinical characteristics will be tabulated and compared by 
treatment group.  While randomized groups are expected to be similar on these characteristics, any variable with a 
P<0.10 difference across the four groups will be considered as a candidate covariate, as described below.   
 
Early Termination: Early termination information for randomized subjects by reasons and time in study - will be 
fully described by treatment.  To maximize the power to detect biologically and clinically meaningful treatment 
effect sizes, enrollment will continue until there are 80 per-protocol study completers.  
 
Data Normality: Assessment of normality of the primary and secondary endpoints will be evaluated and 
appropriate data transformation will be performed as needed. 
 
Analysis Population:  The modified intent-to-treat (mITT) evaluable sample is defined as all randomized 
subjects who take the assigned treatment and have baseline and at least one post-baseline assessment of the 
relevant outcome measures.  The per protocol analysis population (PP) will include all data in the mITT 
population until the experience of major protocol violations. The PP population will be defined in a blinded 
fashion before database lock. The study will make every effort to follow up patients who have been removed from 
the tested treatments due to major protocol violations and collect outcome data.  
 
The primary analysis for all study aims will be based on the PP analysis population, as the inflammatory marker 
and depression data may be sensitive to potential protocol violation. The mITT analysis population will be used 
for sensitivity analyses.  
 
Specific Aim 1 (Primary Aim): To evaluate whether a dose-response relationship exists between dose of EPA 
and decrease either in plasma IL-6 levels or in mitogen-stimulated PBMC TNF-α levels, when compared with 
placebo. 
Hypothesis 1: Overweight subjects with MDD and hs-CRP levels ≥ 3.0 mg/l treated with 1 g/day, 2 g/day 
or 4 g/day of EPA will demonstrate a ≥0.40 effect size at both week 8 and week 12 for decrease in plasma 
IL-6 levels and/or mitogen-stimulated PBMC TNF-α levels when compared with placebo-treated 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
24 
 
subjects. The dose-response relationships on the two inflammatory markers will be explored. 
Analysis:   
 
The primary analyses to test this hypotheses will be carried out by mixed model repeated measures (MMRM 
analysis of change in plasma IL-6 and mitogen-stimulated PBMC TNF-α from baseline to each post-baseline 
assessment (at week 4, 8, and 12).  Baseline variables that have potential relationship to the endpoints (change in 
plasma IL-6 or mitogen-stimulated PBMC TNF-α) will be evaluated and entered into the MMRM model as 
appropriate, and will be evaluated as potential covariates -- such as baseline level of plasma IL-6 or mitogen-
stimulated PBMC TNF-α, age, gender, level of perceived life stress, and presence/absence of early childhood 
trauma.  Only those baseline variables that differ among randomized treatment groups at P<0.10 and are 
significantly correlated with the primary outcome variable for the entire sample (change in plasma IL-6 or 
mitogen-stimulated PBMC TNF-α) will be entered into the model as covariates.  From the MMRM analysis we 
will report the overall test of the significance of treatment-by-time across the four treatment groups, with 
appropriate covariates, as well as least-square means (and standard errors of means) per treatment group, for 
change from baseline to each time point. Tests of paired comparisons (each EPA dose vs. placebo, plus pairwise 
comparison across EPA doses) will be reported for each time point.  These results will provide essential data for 
designing an adequately powered antidepressant efficacy study (phase 2 of the project) comparing EPA to placebo 
at an EPA dose which has been demonstrated to have a clinically meaningful impact on plasma IL-6 or mitogen-
stimulated PBMC TNF-α, or both.  They will also provide new data for the field concerning the duration of 
treatment needed to initiate change in inflammatory biomarkers within various EPA monotherapy dose groups, as 
well as amounts of change compared to the placebo group, by EPA dose and time in treatment, for depressed 
overweight subjects with high hs-CRP.   
 
While significance tests are always of interest, a major purpose of this first-phase study is to determine whether 
there is sufficient evidence of EPA collectively in moving the two inflammatory markers as well as the depression 
score so that a large-scale study can be conducted, as well as to identify an optimal dose of EPA to use in the 
larger, adequately powered trial of EPA antidepressant efficacy.  For this reason, adjustments in computation of 
probability values for multiple dose comparisons to EPA will not be made.  Results will be interpreted primarily 
in terms of effect size for change over time in plasma IL-6 and mitogen-stimulated PBMC TNF-α.   
 
Specific Aim 2: To evaluate whether EPA treatment produces a decrease in ratings of depression severity, when 
compared with placebo-treated subjects, will be observed; and whether the changes in IL-6 or mitogen- stimulated 
PBMC TNF-α expression will mediate changes observed in ratings of depression. 
 
Hypothesis 2a:  Overweight subjects with MDD and hs-CRP levels ≥ 3mg/l treated with 1 g/day, 2 g/day 
or 4 g/day of EPA will demonstrate a >0.35 effect size at both week 8 and week 12 for decrease in ratings 
of depression severity, as measured by the Inventory of Depressive Symptoms, Clinician-Rated version, 
when compared with placebo-treated subjects. The dose-response relationships on the depression score 
will be explored. 
       
Analysis:  
 
Analyses to test this hypothesis will be performed by means of MMRM analysis of change in clinician-rated IDS 
(IDS-C30) depression ratings based on the per-protocol sample as defined above.  As for Aim 1, potential 
covariates will be evaluated and entered into the MMRM model as appropriate.  Results will be presented in terms 
of mean change (and standard error of mean) in IDS-C scores by treatment group at the end of 12 weeks of 
treatment, with effect size and overall significance of the slopes of change by treatment, along with mean change, 
effect size, and significance of change between each pair of treatment groups as of each study visit (Week 2, 4, 6, 
8, 10, and 12).  This will make it possible to identify the influence of both dose and treatment duration on the 
antidepressant benefit of EPA.  These results will provide essential data for designing an adequately powered 
antidepressant efficacy study (phase 2 of the project) comparing EPA to placebo at an EPA dose that has been 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
25 
 
demonstrated to have a clinically meaningful impact on depression as well as on plasma IL-6 or mitogen-
stimulated PBMC TNF-α, or both, for depressed overweight subjects with high hs-CRP.  MMRM results will be 
supplemented with analysis of rates of response and remission by treatment group, based on IDS-C30 depression 
severity scores (all evaluable subjects, and study completers).  Similar analyses will be carried out for additional 
measures such as self-reported depression ratings, clinician-rated anxiety, and CGI ratings of severity and 
improvement. 
 
As for Aim 1, adjustments in computation of probability values for multiple dose comparisons to EPA will not be 
made.  Results will be interpreted primarily in terms of effect size for change over time in IDS-C30 depression 
severity scores.   
 
Hypothesis 2b:  Changes in IL-6 and mitogen-stimulated PBMC TNF-α expression will mediate changes 
observed in ratings of depression. 
 
      Analysis: 
Two analyses will be conducted to test this study hypothesis.  We recommend that these be based on study 
completers (the 80 subjects completing 12 weeks of treatment).  First, change in plasma IL-6 and mitogen-
stimulated PBMC TNF-α will be correlated, within treatment group, with change (and percent change) in IDS-
C30 scores over 12 weeks.  A correlation of r > 0.50 will be considered an indicator of at least moderate 
association of change between either biomarker and improvement in depression.  Second, change in each of the 
two primary biomarkers of change will be compared between responders and non-responders in each treatment 
group (responders being those with at least 50% reduction in IDS-C depression severity scores).   
 
Exploratory Aim: To evaluate whether EPA treatment produces decreases in plasma TNF-α, leptin, hs-CRP, and 
IL-1ra levels and mitogen-stimulated PBMC IL-6 levels, as well as in the expression of inflammation pathway-
related genes. 
Hypothesis 3a: Overweight subjects with MDD and hs-CRP levels ≥ 3mg/l treated with 1 g/day, 2 g/day or 4 
g/day of EPA will demonstrate a decrease in plasma TNF-α, leptin, hs-CRP, and IL-1ra levels and mitogen-
stimulated PBMC IL-6 levels when compared with placebo-treated subjects. 
 
      Analysis: 
MMRM analysis (incorporating relevant covariates) will be conducted to assess treatment group differences in 
change other inflammatory markers over 12 weeks of treatment, in a manner parallel to that described for change 
in plasma IL-6 or mitogen-stimulated PBMC TNF-α, study Hypothesis 1.  Results will broaden the understanding 
of EPA effects at different doses on an array of inflammatory biomarkers that may be considered targets of study 
in the second-phase study. 
 
Hypothesis 3b): Overweight subjects with MDD and hs-CRP levels ≥ 3 mg/l treated with 1 g/day, 2 g/day or 
4 g/day of EPA will demonstrate a decrease in the expression of genes involved in the inflammatory pathway 
when compared with placebo-treated subjects. 
 
Analysis:   
Exploratory analyses of potential predictors and targets of antidepressant response to EPA at different doses will 
be examined by analysis of differential gene expression in peripheral blood mononuclear cells from responders 
vs. non-responders to various doses of EPA and placebo over 12 weeks of treatment.  A two-stage analysis will be 
conducted: In the first stage, gene transcripts will be identified that are associated with at least a 20% difference 
(1.2 fold change) in response to a given dose of EPA but not response to placebo.  Following the methods 
described in Mehta et al. (2013), the predictive values of these transcripts will then be subjected to pathway 
analysis to identify specific mechanisms or pathways that appear to be associated with response to target doses of 
EPA.  
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
26 
 
d. Additional Analysis Notes: 
 
Decision Rule: The formal decision rule for moving to the large-scale UH3 antidepressant efficacy study is that 
results of the UG3 study must show the following: Overweight subjects with MDD and hs-CRP levels ≥3.0 mg/l 
treated with 1g/day, 2g/day or 4g/day of EPA must demonstrate a ≥0.40 effect size at both week 8 and week 12 for 
decrease in plasma IL-6 levels and/or mitogen-stimulated PBMC TNF-α expression and secretion, when 
compared to placebo-treated subjects in one of the three EPA doses (positive result for Hypothesis 1), as well as a 
>0.35 effect size at both week 8 and week 12 for decrease in ratings of depression severity as measured by IDS-
C30 scores, when compared to placebo-treated subjects in one of the EPA doses (positive result for Hypothesis 
2a).   Multiplicity issues due to multiple doses and multiple endpoints, as well as multiple time points (weeks 8 
and 12), have been considered in the development of the decision rule for moving forward to the next phase of 
large scale study, by controlling false positive error and false negative error rates in this preliminary study. A 
simulation study has been conducted to evaluate this decision rule by NCCIH and shows that the false positive 
error can be controlled under 7% under various valid correlation structures under the assumption that EPA has no 
effect on the two specified inflammatory markers and the depression score. In the event that more than one EPA 
dose meets both of the above criteria, selection of an EPA dose for the efficacy study will be based on additional 
considerations such as study retention rates by dose, as well as amounts and patterns of change in the primary and 
secondary outcomes by dose. 
   
Sensitivity Analyses: Two types of sensitivity analysis may be conducted on the mITT analysis population: (1) In 
case of non-normality of any outcome variable for this study, non-parametric analyses will be performed using 
rank order statistics (Kruskal-Wallis and Wilcoxon Rank Sum tests for multiple group and pairwise comparisons, 
respectively).  (2) If any randomized subject has a major protocol violation during the course of the study that 
warrants exclusion of data for specific visits (agreed upon by NCCIH and the study investigators), secondary 
analyses of the study aims may be conducted that include data collected for visits after the major protocol 
violation has occurred. Consistency of outcomes of the primary and secondary analyses would lend support to the 
study conclusions.   
 
VII. RISKS AND DISCOMFORTS  
 
a. Complications of surgical and non-surgical procedures, etc. 
 
Blood-drawing for laboratory tests may cause mild pain, discomfort and bruising or, rarely, dizziness, fainting or 
infection. Subjects with unstable medical conditions will not be enrolled in this study. All subjects will be 
closely monitored with vital sign checks at each visit.  
b. Drug side effects and toxicities 
 
Omega-3 fatty acids have a benign side effect profile, with a dose-related gastrointestinal upset as its main side 
effect. The more moderate risks of nausea, diarrhea, bloating, unpleasant belching, and thinning of the blood 
(which could result in longer bleeding times when cuts or other abrasions) are less likely to occur (1-9% of 
subjects).The dose of EPA used in this study are well within the range recommended for cardiovascular benefit 
(Kris-Etherton et al., 2002).. Over the past 20 years, several thousand research subjects have participated in 
clinical trials of omega-3 fatty acids, using a range of dosages (up to 10g/day) and trial lengths. No serious 
adverse reactions have been reported. Further supporting the safety of high-dose omega-3 fatty acids is the safety 
of the traditional Arctic people's diet, which may contain more than 16 grams per day of omega-3 fatty acids 
(Simopulos et al., 1999). Dietary supplementation with marine omega-3 fatty acids has been shown to prolong 
bleeding time in humans, and may decrease thrombotic potential. However, little else is known about the direct 
effects of dietary fatty acids on hemostatic and fibrinolytic activities (Tracy, 1999). For this reason, patients 
taking anticoagulants, or having a history of coagulopathy will be excluded from the study. Subjects are advised 
that problems and side effects not listed above may occur and will be informed of any new risks to which they 
may be exposed. According to standard procedure within the 2 research program sites (MGH and Emory/ Grady 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
27 
 
Health System), subjects who show persistent worsening during the course of a clinical trial or develop unstable 
psychiatric symptoms (e.g., suicidality, homicidality, psychosis) will be withdrawn from the study and referred 
for appropriate treatment. Subjects on double-blind treatment may be unblinded in an emergency.  
 
Subjects will also be informed that there is a potential risk of worsening of depression if the patients were 
to discontinue their antidepressant medication prior to study participation.  
 
c. Device complications/malfunctions 
 
Not applicable. 
 
d.  Psychosocial (non-medical) risks 
 
Psychological or emotional discomfort may arise due to the screening procedure, interviews and questionnaires. 
The instruments administered during the course of the study involve no specific risks or discomforts beyond those 
of a standard clinical interview situation such as upset feelings at a review of current health status or boredom. 
However, we will always remind subjects that participation in research is voluntary and that subjects may 
withdraw consent at any time.  
e.  Radiation Risks  
 
Not applicable. 
 
VIII. POTENTIAL BENEFITS 
 
a. Potential benefits to participating individuals 
It is hoped that subjects who participate may experience at least a 50% amelioration of their depression 
from treatment with the omega-3 fatty acid and may experience fewer side effects than the medicine doctors can 
prescribe. The information obtained in the study may also benefit other individuals with depression and high 
inflammation, as it may widen treatment options for depression, as well as our understanding of the physiology of 
depression. 
 
b. Potential benefits to society  
Particularly at this time, where there is growing public concern about the safety of traditional 
antidepressant medication, it is important to know whether CAM alternatives may serve as a safe and effective 
treatment for those patients with major depressive disorder who have high peripheral inflammation.  The results 
of our study will markedly increase our knowledge about mechanisms of n-3 fatty acids’ effects on lipid and 
immune function in relationship to treatment of major depressive disorder.  It may greatly enhance our 
understanding of a potential mechanism by which n-3 fatty acids palliate major depressive disorder.  Thus, this 
study has significant potential public health benefits. 
 
IX. MONITORING AND QUALITY ASSURANCE 
 
a. Independent monitoring of source data 
 
Westat, a global research monitoring corporation, will provide independent monitoring of the data 
collected in this study. Westat will perform site visits at each site prior to the enrollment of the first study subject.  
Follow-up monitoring visits at each site are scheduled to occur after the trial has been on-going for one year or 
after 50% of the participants have been enrolled.  More frequent monitoring may occur if requested by NCCIH. 
Westat will also conduct a close-out visit soon after the last patient has completed their trial participation.  

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
28 
 
 
b. Safety monitoring  
 
The Emory Departments of Psychiatry and Neurology Data Safety Monitoring Board (DSMB) will 
conduct twice-yearly review of the trial safety data, retention rates, and any breaches of confidentiality that occur 
during the study.  Reports will be submitted to the DSMB with the relevant data, broken out by each site 
individually, and with both sites combined.  Data will be submitted in a blinded manner, though the DSMB may 
request unblinded data to be reported if the DSMB has cause for concern.  In this case, an independent statistician 
who has no other role on the study will be consulted to prepare the unblinded report, which will be submitted 
directly to the DSMB.  The data to be included in each DSMB report will include all study information collected 
up until 30 days prior to the report submission due date.  
 
The DSMB will review all serious adverse events that occur during the trial.  SAEs will be reported to the 
DSMB within 10 days of learning of their occurrence, and any deaths will be reported within 24 hours. The 
DSMB includes physicians who are experienced in clinical research, research coordinators, and administrative 
support. A statistician (Dr. Guthrie) will be a standing member of the DSMB for this study. Study clinicians who 
currently serve on the DSMB will recuse themselves when the current studied is being reviewed by the DSMB. A 
copy of the DSMB’s study reviews will be provided to each site’s IRB at the time of study renewal. 
 
 
 
 
 
c. Outcomes monitoring 
 
No interim unblinded assessment of outcomes is planned for this study. Patient completion, early termination 
(along with reasons for early termination) and remission rates by site will be provided to the DSMB twice yearly 
as part of the DSMB monitoring report.  
 
d Adverse event reporting guidelines 
 
(i) Classification of AE Severity 
Any untoward or unfavorable medical occurrence in a human subject, including any abnormal sign (for 
example, abnormal physical exam or laboratory finding), symptom, or disease, temporally associated with 
the subject’s participation in the research, whether or not considered related to the subject’s participation 
in the research.  Adverse events will be coded using Medical Dictionary for Regulatory Activities 
(MedDRA) terms: 
Grade 1 Mild AE (does not have a major impact on the patient) 
Grade 2 Moderate AE (interferes with some function but not day-to-day activities) 
Grade 3 Severe AE (interferes with activity and daily living) 
 
Documentation of the presence of any side-effect or adverse event (AE) will be completed by one of the 
treating psychiatrists at every visit by recording all spontaneously reported AEs, which will be classified 
as either mild, moderate, or severe. Patients shall be allowed to contact the investigator or a member of 
his staff at any time between visits concerning adverse events or worsening of symptoms.  
 
(ii) AE Attribution Scale  
AEs will be categorized according to the likelihood that they are related to the study intervention. 
Specifically, they will be labeled definitely unrelated, definitely related, probably related, or possibly 
related to the study intervention. 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
29 
 
The DSMB will monitor the study for any adverse events that arise over the course of the project; 
however, the following adverse events have been identified by the co-PIs as events that may occur during 
the course of the trial: 
 
1) Psychological and/or emotional discomfort arising from the clinical interview and questionnaires 
2) Blood draw complications 
3) worsening of depressive symptoms  
4) diarrhea 
5) nausea 
6) fish breath/fish taste in mouth 
 
(iii) AE Reporting and Follow-up 
Information on new AEs and continuation of AEs are collected at every study visit. In addition, tables 
(see Appendix 1) will be utilized for data collection and reporting. If an SAE occurs, the respective IRB’s 
will be notified within 10 days of the notification of the event as per the respective University IRB 
guidelines. The site IRB’s will review the SAE and its implications for the safety of subjects continuing 
in the study. The site IRB will determine if the circumstances merit any modification, suspension, or 
termination of the study. The report of the IRB will be sent to NCCIH. 
Non-serious adverse events will be reviewed in summary format by the DSMB during the regularly 
scheduled DSMB reviews. 
 
e Serious Adverse Events reporting guidelines 
Expedited review will occur for all events meeting the FDA definition of Serious Adverse Events (SAEs) – i.e., 
any fatal event, immediately life-threatening event, permanently or substantially disabling event, event requiring 
or prolonging inpatient hospitalization, or any congenital anomaly. This also includes any event that a study 
investigator or the DSMB judges to impose a significant hazard, contraindication, side effect, or precaution.  For 
purposes of this study, all SAEs will be required to be reported to the DSMB, regardless of any judgment of their 
relatedness to the study drug. All relevant information will be reported to the DSMB for each SAE including 
information about the event and its outcome, dosing history of all study drugs, concomitant medications, the 
subject’s medical history and current conditions, and all relevant laboratory data.  Notification by e-mail, and 
FAX transmittal of all related study forms shall be made to the DSMB within 2 days of the occurrence of any 
SAE.  Information will be reviewed and a determination made of whether there was any possible relevance to the 
study drug.  Additional reporting to local IRBs will be completed in accordance with the local IRB policies; 
reporting to NIH, and FDA will be made according to their respective regulations governing SAE reporting. 
 
Unexpected fatal or life-threatening AEs related to the intervention will be reported to the NCCIH Program 
Officer within 10 days. Other serious and unexpected AEs related to the intervention will be reported to the 
NCCIH Program Official within 30 days. 
Anticipated or unrelated SAEs will be handled in a less urgent manner but will be reported to the Independent 
Monitor(s), IRB, NCCIH, and other oversight organizations in accordance with their requirements. In the annual 
AE summary, the Independent Monitor(s) Report will state that they have reviewed all AE reports.   
 
VIII. MULTIPLE PI LEADERSHIP PLAN 
 
This study will be administered as a two-site Collaborative UG3.  
Given the multidisciplinary aspects of the proposed research project, a multiple PI option is proposed, with Drs. 
Rapaport, Fava and Mischoulon acting as co-PIs. A detailed description of the leadership plan follows. 
 
1) Roles/areas of responsibility of the PIs 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
30 
 
Dr. Rapaport will be responsible for the oversight and coordination of all aspects of the proposed clinical study at 
Emory University/Grady Health System, whereas Drs. Fava and Mischoulon at the Depression Clinical and 
Research Program (DCRP) at MGH will be responsible for the oversight and coordination of all aspects of the 
proposed clinical study at MGH. Dr. Rapaport will also be responsible for the oversight and coordination of all 
aspects of the data management and data analyses, as well as of the measurements of the biomarkers carried out at 
Emory University, whereas Drs. Fava and Mischoulon will be responsible for the oversight and coordination of 
all aspects of the measurements of those biomarkers carried out at Tufts University. The three PIs will jointly 
oversee and be responsible for the overall project, and have a track record of successful collaborations for more 
than two decades, which involved similar procedures and tasks as the ones proposed in the current application. 
The Emory University and MGH PIs will be responsible for their own fiscal and research administration. As 
stipulated by SF424 guidelines, a Principal Investigator Assurance will be retained for all named PIs. Dr. 
Rapaport will serve as contact PI and be responsible for submission of progress reports to NIH and all 
communications to NCCIH. 
 
2) Fiscal and management coordination & communication between PIs 
The three PIs will form a Steering Committee, which will involve the three PIs, and key personnel of both sites 
(Drs. Schettler, Dunlop, and Kinkead at Emory University and Drs. Papakostas, Alpert, and Nierenberg at MGH). 
The goal of this committee will be to manage the oversight and coordination of the projects, resource allocation, 
publications and data sharing. This Committee will also oversee decisions on minor changes in research direction 
and have the authority to reallocate funds between PIs, as required. Drs. Rapaport and Fava will serve as Co-
Chairs of the Steering Committee. The Steering Committee will meet monthly virtually (via teleconference). The 
goal of the monthly Steering Committee meetings will also be to allow more in-depth reviews of the (a) progress 
of the study, (b) collaborations between the sites; and (c) resolution of any issues that might arise. The steering 
committee and key study personnel will have twice-yearly face-to-face meetings with personnel from NCCIH 
representatives.  
 
To ensure a smooth coordination, each PI will share progress and research results with the other PIs and key 
personnel. The PIs already have established a weekly teleconference to discuss issues related to study 
implementation, experimental design, data analysis, and administrative responsibilities.  We will communicate 
more frequently by telephone or email on an as needed basis. 
 
3) Publication and intellectual property policies 
A publication policy will be established based on PIs’ and key personnel’s scientific contributions. Publication 
plans will be reviewed and approved by the Steering Committee. An Intellectual Property Committee composed 
of representatives from each institution will be formed to ensure that intellectual properties are protected 
according to agreed policies. 
 
4) Conflict Resolution 
In case of disagreement, the PIs as well as Dr. Wendy Weber (NCCIH Program Scientist), will meet virtually (via 
videoconference) and try to resolve it. If the disagreement is not resolved, the dispute will be referred to an 
Arbitration Committee, which will include one impartial senior executive from each institution (Emory 
University: Dr. Frank Brown; MGH: Dr. Jordan Smoller). Members of the arbitration committee will not be 
directly involved in the proposed research. 
 
 
IX. REFERENCES 
 
Abbate R, Gori AM, Martini F, Brunelli T, Filippini M, Francalanci I, Paniccia R, Prisco D, Gensini GF, Neri 
Serneri GG. n-3 PUFA supplementation, monocyte PCA expression and interleukin-6 production. Prostaglandins 
Leukot Essent Fatty Acids. 1996;54:439-44. 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
31 
 
Adams, PB, Lawson S, Sanigorski A, Sinclair AJ: Arachidonic acid to eicosapentaenoic acid ration in blood 
correlates positively with clinical symptoms of depression. Lipids. 1996; 31:157-161. 
 
Ader R, Cohen N, Felten D. Psychoneuroimmunology: interactions between the nervous system and the immune 
system. Lancet. 1995; 345(8942): 99-103. 
 
Anisman H, Ravindran AV, Griffiths J, Merali Z. Endocrine and cytokine correlates of major depression and 
dysthymia with typical or atypical features. Mol Psychiatry 1999; 4(2):182-8. 
 
Anisman H, Merali Z: Cytokines, stress, and depressive illness. Brain Behav Immun 2002; 16:513–524. 
 
Bakker GC, van Erk MJ, Pellis L, Wopereis S, Rubingh CM, Cnubben NH, Kooistra T, van Ommen B, Hendriks 
HF. An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight 
men: a nutrigenomics approach. Am J Clin Nutr. 2010;91(4):1044-59. 
 
Baumann KH, Hessel F, Larass I, Müller T, Angerer P, Kiefl R, von Schacky C. Dietary omega-3, omega-6, and 
omega-9 unsaturated fatty acids and growth factor and cytokine gene expression in unstimulated and stimulated 
monocytes. A randomized volunteer study. Arterioscler Thromb Vasc Biol. 1999;19:59-66. 
 
Bernstein DP, Stein JA, Newcomb MD, Walker E, Pogge D, Ahluvalia T, Stokes J, Handelsman L, Medrano M, 
Desmond D, Zule W. Development and validation of a brief screening version of the Childhood Trauma 
Questionnaire. Child Abuse & Neglect 2003; 27: 169–190. 
 
Bouwens M, van de Rest O, Dellschaft N, Bromhaar MG, de Groot LC, Geleijnse JM, Müller M, Afman LA. 
Fish-oil supplementation induces antiinflammatory gene expression profiles in human blood mononuclear cells. 
Am J Clin Nutr. 2009;90(2):415-24. 
 
Calder PC: Polyunsaturated fatty acids, inflammation, and immunity. Lipids 2001; 36:1007-1024. 
 
Carrie I, Clement M, de Javel D, Frances H, Bourre JM.  Phospholipid supplementation reverses behavioral and 
biochemical alterations induced by n-3 polyunsaturated fatty acid deficiency in mice.  Journal of Lipid Research 
2000; 41(3):473-80. 
 
Caughey GE, Mantzioris E, Gibson RA, Cleland LG, James MJ. The effect on human tumor necrosis factor alpha 
and interleukin 1 beta production of diets enriched in n-3 fatty acids from vegetable oil or fish oil. Am J Clin 
Nutr. 1996;63:116-22. 
 
Chitranjali T, Anoop Chandran P, Muraleedhara Kurup G. Omega-3 fatty acid concentrate from Dunaliella salina 
possesses anti-inflammatory properties including blockade of NF-κB nuclear translocation. Immunopharmacol 
Immunotoxicol. 2015;37:81-9. 
 
Chiu C-C, Huang S-Y, Shen WW, Su K-P: Omega-3 fatty acids for depression in pregnancy [letter]. Am J 
Psychiatry 2003; 160:385. 
 
Cohen S, Spacapan S, Oskamp S. Perceived stress in a probability sample of the United States. 
In: The social psychology of health. The Claremont Symposium on Applied Social Psychology. 1988: 31-67. 
Thousand Oaks, CA, US: Sage Publications, Inc. 
 
Colas RA, Shinohara M, Dalli J, Chiang N, Serhan. CN Identification and signature profiles for pro-resolving and 
inflammatory lipid mediators in human tissue. American Journal of Physiology Cell Physiology 2014; 307: C39–
54. 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
32 
 
Cross-National Collaborative Group. The changing rate of major depression: cross national comparisons. JAMA 
1992; 268:3098-3105. 
 
Dalli J, Serhan CN Specific lipid mediator signatures of human phagocytes: microparticles stimulate macrophage 
efferocytosis and pro-resolving mediators. Blood 2012; 120: e60–e72.   
 
 
Danesh J, Whincup P, Walker M, et al. Low grade inflammation and coronary heart disease: prospective study 
and updated meta-analyses. BMJ. 2000; 321: 199-204. 
 
Danzer R, Wollman E, Vitkovic L, Yirmiya R. Cytokines and depression: fortuitous or causative association. Mol 
Psychiatry 1999; 4: 328-332. 
 
De Caterina R, Cybulsky MI, Clinton SK, Gimbrone MA Jr, Libby P. The omega-3 fatty acid docosahexaenoate 
reduces cytokine-induced expression of proatherogenic and proinflammatory proteins in human endothelial cells. 
Arterioscler Thromb 1994;14(11):1829-36.   
 
Eaton SB, Kanner M. Paleolithic nutrition. N Engl J Med 1985; 312:283-289. 
 
Edwards R, Peet M, Shay J, Horrobin D. Omega-3 polyunsaturated fatty acid levels in the diet and in red blood 
cell membranes of depressed patients. J Affective disorders 1998; 48:149-155. 
  
Ellis FR, Sanders TAB. Long chain polyunsaturated fatty acids in endogenous depression. J Neurol Neurosurg 
Psychiatr 1977; 40:168-169. 
 
Ellulu MS, Khaza'ai H, Abed Y, Rahmat A, Ismail P, Ranneh Y. Role of fish oil in human health and possible 
mechanism to reduce the inflammation. Inflammopharmacology 2015;23(2-3):79-89. 
 
Emsley R, Myburgh C, Oosthuizen P, van Rensburg SJ. Randomized, placebo-controlled study of ethyl-
eicosapentaenoic acid as supplemental treatment in schizophrenia. Am J Psychiatry 2002; 159:1596-1508. 
 
Endicott J, Nee J, Harrison W, et al. Quality of Life Enjoyment and Satisfaction Questionnaire: a new measure. 
Psychopharmacol Bull 1993;29: 321-326.  
 
Endres S, Ghorbani R, Kelley VE, Georgilis K, Lonnemann G, van der Meer JW, Cannon JG, Rogers TS, 
Klempner MS, Weber PC, et al. The effect of dietary supplementation with n-3 polyunsaturated fatty acids on the 
synthesis of interleukin-1 and tumor necrosis factor by mononuclear cells. N Engl J Med. 1989;320:265-71. 
 
Ernst E, Saradeth T, Achhammer G. n-3 fatty acids and acute-phase proteins. Eur J Clin Invest. 1991; 21(1):77-
82. 
 
Fava M, Iosifescu DV, Pedrelli P, Baer L. Reliability and validity of the Massachusetts general 
hospital cognitive and physical functioning questionnaire. Psychother Psychosom 2009; 78(2):91-7. 
 
Fehily AMA, Bowey OAM, Ellis FR, Meade BW, Dickerson JWT: Plasma and erythrocyte membrane long chain 
polyunsaturated fatty acids in endogenous depression. Neurochem Internat 1981; 3:37-42. 
 
Fenton WS, Dickerson F, Boronow J, Hibbeln JR, Knable M: A placebo-controlled trial of omega-3 fatty acid 
(ethyl eicosapentaenoic acid) supplementation for residual symptoms and cognitive impairment in schizophrenia. 
Am J Psychiatry 2001; 158:2071-2074. 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
33 
 
Ferguson JF, Mulvey CK, Patel PN, Shah RY, Doveikis J, Zhang W, Tabita-Martinez J, Terembula K, Eiden M, 
Koulman A, Griffin JL, Mehta NN, Shah R, Propert KJ, Song WL, Reilly MP. Omega-3 PUFA supplementation 
and the response to evoked endotoxemia in healthy volunteers. Mol Nutr Food Res. 2014;58(3):601-13. 
 
Fong TM, McNamee MG.  Correlation between acetyl-choline receptor function and structural properties of 
membranes.  Biochem J 1986; 25:830-840. 
 
Ford DE, Erlinger TP. Depression and C-reactive protein in US adults: data from the third national health and 
nutrition examination survey. Arch Intern Med. 2004;164:1010-4. 
 
Ford DE, Mead LA, Chang PP, Cooper-Patrick L, Wang NY, Klag M. Depression is a risk factor for coronary 
artery disease in men: The Precursors Study. Arch Intern Med. 1998;158:1422-1426. 
 
Frances H, Monier C, Bourre JM. Effects of dietary alpha-linolenic acid deficiency on neuromuscular and 
cognitive functions in mice.  Life Sciences 1995; 57:1935-47. 
 
Frasure-Smith N, Lesperance F, Julien P. Major depression is associated with lower omega-3 fatty acid levels in 
patients with recent acute coronary syndromes. Biol Psychiatry 2004;55(9):891-6. 
 
Freeman MP, Hibbeln JR, Wisner KL, et al. Randomized dose-ranging pilot trial of omega-3 fatty acids for 
postpartum depression. Acta Psychiatr Scand. 2006;113(1):31–35.  
 
Graber R, Sumida C, Nunez EA. Fatty acids and cell signal transduction. J Lipid Mediat 1994; 9:91-116. 
 
Glassman AH, Shapiro PA. Depression and the course of coronary artery disease. Am J Psychiatry. 1998;155:4-
11. 
 
Grimble RF. Dietary lipids and the inflammatory response. Proc Nutr Soc 1998; 57:535-542. 
 
Grimble RF, Howell WM, O’Reilly G, Turner SJ, Markovic O, Hirrell S, East JM, Calder PC: The ability of fish 
oil to suppress tumor necrosis factor alpha production by peripheral blood mononuclear cells in healthy men is 
associated with polymorphisms in genes that influence tumor necrosis factor alpha production. Am J Clin Nutr 
2002; 76:454-459.  
 
Grosso G, Pajak A, Marventano S, Castellano S, Galvano F, Bucolo C, Drago F, Caraci F. Role of omega-3 fatty 
acids in the treatment of depressive disorders: a comprehensive meta-analysis of randomized clinical trials. PLoS 
One. 2014;9(5):e96905. 
 
Grundy SM, D'Agostino Sr RB, Mosca L, Burke GL, Wilson PW, Rader DJ, Cleeman JI, Roccella EJ, Cutler JA, 
Friedman LM. Cardiovascular risk assessment based on US cohort studies. Circulation. 2001;104:491-496. 
 
Guy W (ed). ECDEU Assessment Manual for Psychopharmacology, revised.  DHEW Pub. No. (ADM)76-338.  
National Institute of Mental Health, Rockville, MD, 1976. 
 
Hamilton M. The assessment of anxiety states by rating. British Journal of Medical Psychology 1959;32:50-55. 
 
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a 
metadata-driven methodology and workflow process for providing translational research informatics support. 
Journal of Biomedical Informatics. 2009;42(2):377-81.  
 
Hao W, Wong OY, Liu X, Lee P, Chen Y, Wong KK. ω-3 fatty acids suppress inflammatory cytokine production 
by macrophages and hepatocytes. J Pediatr Surg. 2010;45:2412-8. 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
34 
 
 
Hibbeln JR. Fish consumption and major depression [Letter] Lancet 1998; 351:1213. 
 
Hibbeln JR. Long-chain polyunsaturated fatty acids in depression and related conditions. In: Peet M, Glen I, 
Horrobin DF, eds. Phospholipid Spectrum Disorder in Psychiatry. Marius Press: Carnforth, England 195-210, 
1999. 
 
Hibbeln JR, Salem N Jr. Dietary polyunsaturated fatty acids and depression: when cholesterol does not satisfy. 
Am J Clin Nutr 1995; 62:1-9. 
 
Hibbeln JR, Linnola M, Umhau JC, Rawlings R, George DT, Salem N Jr.  Essential fatty acids predict 
metabolites of serotonin and dopamine in cerobrospinal fluid among healthy control subjects and early- and late-
onset alcoholics.  Biological Psychiatry 1998; 44(4):235-42. 
 
Hirayama T: Life-Style and Mortality: A Large Census-Based Cohort Study in Japan. Basel, Karger: Basel, 
Switzerland 1990. 
 
Horsten M, Wamala SP, Vingerhoets AD, Orth-Gomer K.  Depressive symptoms, social support, and lipid profile 
in healthy middle-age women.  Psychosomatic Medicine 1997; 59:521-8. 
 
Hudson CJ, Young T, Li PP, Warsh JJ. CNS signal transduction in the pathophysiology and pharmacotherapy of 
affective disorders and schizophrenia.  Synapse 1993; 13:278-293. 
 
Itariu BK, Zeyda M, Hochbrugger EE, Neuhofer A, Prager G, Schindler K, Bohdjalian A, Mascher D, Vangala S, 
Schranz M, Krebs M, Bischof MG, Stulnig TM. Long-chain n-3 PUFAs reduce adipose tissue and systemic 
inflammation in severely obese nondiabetic patients: a randomized controlled trial. Am J Clin Nutr. 
2012;96(5):1137-49. 
 
Itoh M, Suganami T, Satoh N, Tanimoto-Koyama K, Yuan X, Tanaka M, Kawano H, Yano T, Aoe S, Takeya M, 
Shimatsu A, Kuzuya H, Kamei Y, Ogawa Y. Increased adiponectin secretion by highly purified eicosapentaenoic 
acid in rodent models of obesity and human obese subjects. Arterioscler Thromb Vasc Biol. 2007;27:1918-25. 
James MJ, Gibson RA, Cleland LG. Dietary polyunsaturated fatty acids and inflammatory mediator production. 
Am J Clin Nutr. 2000 Jan;71(1 Suppl):343S-8S.  
 
Jonas BS, Mussolino ME. Symptoms of depression as a prospective risk factor for stroke. Psychosom Med. 2000; 
62:463-471 
 
Kahl KG, Rudolf S, Stoeckelhuber BM, Dibbelt L, Gehl HB, Markhof K, Hohagen F, Schweiger U. Bone mineral 
density, markers of bone turnover, and cytokines in young women with borderline personality disorder with and 
without comorbid major depressive disorder. Am J Psychiatry. 2005 Jan;162(1):168-74.  
 
Keck Jr PE, Freeman MP, McElroy SL, Altshuler LL, Denicoff KD, Nolen WA, Suppes T, Frye M, Kupka R, 
Leverich GS, Grunze H, Walden J, Post RM. A double-blind, placebo-controlled trial of eicosapentanoic acid in 
rapid cycling bipolar disorder. Bipolar Disord 2002: 4 (Suppl. 1): 26-27 (Abstract). 
 
Kelly FJ. The metabolic role of n-3 polyunsaturated fatty acids: relationship to human disease. Comp Biochem 
Physiol A. 1991;98(3-4):581-5. 
 
Khalfoun B, Sibue D, Bardos P, Lebranchu Y. Docosahexaenoic and eicosapentaenoic acids inhibit the CD28-
lymphocyte activation pathway in vitro. Transplantation Proceedings 1998; 30(8):3978-9. 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
35 
 
Khalfoun B, Thibault F, Watier H, Bardos P, Lebranchu Y. Docosahexaenoic and eicosapentaenoic acids inhibit 
in vitro human endothelial cell production of interleukin-6. Advances in Experimental Medicine & Biology 
1997a; 400B:589-97. 
 
Khalfoun B, Gruel Y, Bardos P, Lebranchu Y. Docosahexaenoic and eicosapentaenoic acids inhibit in vitro 
human lymphocyte proliferation induced by allogenic cells. Transplantation Proceedings 1997b; 29(5):2397. 
 
Khalfoun B, Gruel Y, Bardos P, Lebranchu Y. In vitro effects of docosahexaenoic and eicosapentaenoic acids in 
association with cyclosporine A on human lymphocyte proliferation. Transplantation Proceedings 1997c; 29(1-
2):1286-7. 
 
Klerman GL. The current age of youthful melancholia. Br J Psychiatry 1988; 152:4-14. 
 
Klerman GL, Weissman MM. Increasing rates of depression. JAMA 1989; 261:2229-2235. 
 
Konsman JP, Parnet P, Dantzer R. Cytokine-induced sickness behaviour: mechanisms and implications. Trends in 
Neurosciences 2002; 25:154-159. 
 
Kop WJ, Gottdiener JS, Tangen CM, Fried LP, McBurnie MA, Walston J, Newman A, Hirsch C, Tracy RP. 
Inflammation and coagulation factors in persons >65 years of age with symptoms of depression but without 
evidence of myocardial ischemia. Am J Cardiol 2002; 89:419–424 
 
Kroenke K, Spitzer RL, Williams JB. The PHQ-15: Validity of a new measure for evaluating the severity of 
somatic symptoms. Psychosomatic Medicine 2002; 64(2):258-266. 
 
Kubera M, Kenis G, Bosmans E, Zieba A, Dudek D, Nowak G, Maes M. Plasma levels of interleukin-6, 
interleukin-10, interleukin-1 receptor antagonist in depression: comparison between the acute state and after 
remission. Pol J Pharmacol 52:237-241, 2000. 
 
Larson SL, Owens PL, Ford D, Eaton W. Depressive disorder, dysthymia, and risk of stroke: thirteen-year follow-
up from the Baltimore Epidemiologic Catchment Area Study. Stroke. 2001;32:1979-1983. 
 
Leaf A, Weber PC. A new era for science in nutrition. Am J Clin Nutr 1987; 45:1048-1053. 
 
Lee TH, Hoover RL, Williams JD, Sperling RI, Ravalese J 3rd, Spur BW, Robinson DR, Corey EJ, Lewis RA, 
Austen KF.  Effect of dietary enrichment with eicosapentaenoic and docosahexaenoic acids on in vitro neutrophil 
and monocyte leukotriene generation and neutrophil function. N Engl J Med. 1985 May 9;312(19):1217-24.   
 
Leonard BE. The immune system, depression and the action of antidepressants. Prog Neuropsychopharmacol Biol 
Psychiatry 2001; 25:767-780. 
 
Lespérance F, Frasure-Smith N, Théroux P, Irwin M.  The Association Between Major Depression and Levels of 
Soluble Intercellular Adhesion Molecule 1, Interleukin-6, and C-Reactive Protein in Patients With Recent Acute 
Coronary Syndromes Am J Psychiatry 2004; 161: 271-277. 
 
Libby P. Molecular basis of the acute coronary syndromes. Circulation 1995; 91;2844-2850. 
 
Licinio J, Wong M-L. The role of inflammatory mediators in the biology of major depression:  central nervous 
system cytokines modulate the biological substrate of depressive symptoms, regulate stress-responsive systems, 
and contribute to neurotoxicity and neuroprotection.  Mol Psychiatry 1999;4(4):317-27. 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
36 
 
Lin A, Song C, Kenis G, Bosmans E, De Jongh R, Scharpe S, Maes M. The in vitro immunosuppressive effects of 
moclobemide in healthy volunteers. J Affect Disord 2000; 58:69-74. 
 
Liu HQ, Qiu Y, Mu Y, Zhang XJ, Liu L, Hou XH, Zhang L, Xu XN, Ji AL, Cao R, Yang RH, Wang F. A high 
ratio of dietary n-3/n-6 polyunsaturated fatty acids improves obesity-linked inflammation and insulin resistance 
through suppressing activation of TLR4 in SD rats. Nutr Res. 2013;33:849-58. 
 
Liu Y, Chen F, Li Q, Odle J, Lin X, Zhu H, Pi D, Hou Y, Hong Y, Shi HFish Oil Alleviates Activation of the 
Hypothalamic-Pituitary-Adrenal Axis Associated with Inhibition of TLR4 and NOD Signaling Pathways in 
Weaned Piglets after a Lipopolysaccharide Challenge. J Nutr 2013;134:1799-1807. 
 
Liu YH, Li XY, Chen CY, Zhang HM, Kang JX. Omega-3 fatty acid intervention suppresses lipopolysaccharide-
induced inflammation and weight loss in mice. Mar Drugs. 2015 Feb 13;13(2):1026-36 
 
Loukianos SR, Paschos G, Liakos GK, Velissardou AG, Anastasiadis G, Zampelas A: Dietary alpha linolenic acid 
decreases C-reactive protein, serum amyloid A and interleukin-6 in dyslipidemic patients, Atherosclerosis 2003; 
167: 237-242.  
 
Lundbaek JA, Anderson OS.  Lysophospholipids modulate channel function by altering the mechanical properties 
of lipid bilayers.  J Gen Physiol 1994; 104:645-673. 
 
Madsen T, Skou HA, Hansen VE, Fog L, Christensen JH, Toft E, Schmidt EB. C-reactive protein, dietary n-3 
fatty acids, and the extent of coronary artery disease. Am J Cardiol 2001;88(10):1139-42.   
 
Maes M. Major depression and activation of the inflammatory response system. Adv Exp Med Biol 1999a; 
461:25-46. 
 
Maes M, Bosmans E, Suy E, Vandervorst C, De Jonckheere C, Raus J.  Immune Disturbances during Major 
Depression:  Upregulated Expression of Interleukin-2 Receptors. Neuropsychobiology 1990-91; 24:115-120. 
 
Maes M, Song C, Lin AH, Bonaccorso S, Kenis G, De Jongh R, Bosmans E, Scharpe S. Negative 
immunoregulatory effects of antidepressants: inhibition of interferon-gamma and stimulation of interleukin-10 
secretion. Neuropsychopharmacology 1999b; 20:370-379. 
 
Maes M, Christophe A, Bosmans E, Lin A, Neels H. In humans, serum polyunsaturated fatty acid levels predict 
the response of proinflammatory cytokines to psychological stress. Biol Psychiatry 2000; 47:910-920. 
 
Maes M, Delange J, Ranjan R, Meltzer HY, Desnyder R, Cooremans W, Scharpe S. Acute phase proteins in 
schizophrenia, mania and major depression: modulation by psychotropic drugs. Psychiatry Res 1997a; 66:1-11. 
 
Maes M, Christophe A, Delanghe J, Altamura C, Neels H, Meltzer HY. Lowered n3 polyunsaturated fatty acids in 
serum phospholipids and cholesteryl esters of depressed patients. Psychiatry Res 1999a; 85:275-291. 
 
Maes M, Delange J, Rakesch R, Meltzer HY, Desnyder R, Cooremans W, Scharpe S. Acute phase proteins in 
schizophrenia, mania and major depression: modulation by psychotropic drugs.  Psychiatry Research 1997b; 66: 
1-11. 
 
Maes M, Meltzer HY, Scharpe S, Bosmans E, Suy E, De Meester I, Calabrese J, Cosyns P.  Relationships 
Between Lower Plasma L-Tryptophan Levels and Immune-Inflammatory Variables in Depression.  Psychiatry 
Research 1993a; 49: 151-165. 
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
37 
 
Maes M, Scharpe S, Meltzer HY, Bosmans E, Suy E, Calabrese J, and Cosyns P.  Relationships Between 
Interleukin-6 Activity, Acute Phase Proteins, and Function of the Hypothalamic-Pituitary-Adrenal Axis in Severe 
Depression. Psychiatry Res. 1993b;49(1):11-27. 
 
Maes M, Smith RS, Christophe A, Cosyns P, Desnyder R, Meltzer HY. Fatty acid composition in major 
depression: decreased n3 fractions in cholesteryl esters and increased C20:4n6/C20:5n3 ratio in cholesteryl esters 
and phosopholipids. J Affective Disord 1996; 38:35-46. 
 
Maes M, Smith RS. Fatty acids, cytokines, and major depression. Biol Psychiatry 1998; 43:313-314. 
Maes M, Vandoolaeghe, E, Neels, H, Demedts P, Wauters A, Desnyder R. Lower high density lipoprotein 
cholesterol in major depression and in depressed men with serious suicidal attempts: relationships to immune-
inflammatory markers. Acta Psychiatrica Scandinavica 1997c; 95:212-221. 
 
Maidment ID. Are fish oils an effective therapy in mental illness – an analysis of the data. Acta Psychiatrica 
Scandinavica 2000; 102:3-11. 
 
Malnoe A, Milon H, Reme C.  Effect of in vivo modulation of membrane docosahexaenoic acid levels on the  
dopamine-dependent adenylate cyclase activity in the rat retina.  J Neurochem 1990; 55:1480-1485. 
 
Marangell LB, Martinez JM, Zboyan HA, Kertz B, Kim HF, Puryear LJ. A double-blind, placebo-controlled 
study of the omega-3 fatty acid docosahexaenoic acid in the treatment of major depression. Am J Psychiatry 
2003;160(5):996-8. 
 
Marangell LB, Martinez JM, Zboyan HA, et al. Omega-3 fatty acids for the prevention of postpartum depression: 
negative data from a preliminary, open-label pilot study. Depress Anxiety. 2004;19(1):20–23. 
 
Mathews CK., Van Hold KE. Biochemistry 2nd Ed, New York, Benjamin Cummins & Co., 1996. 
 
Mellor JE, Laugharne JDE, Peet M. Omega-3 fatty acid supplementation in schizophrenic patients. Hum 
Psychopharmacol 1996; 11:39-46. 
 
Mendes de Leon CF, Krumholz HM, Seeman TS, et al. Depression and risk of coronary heart disease in elderly 
men and women. Arch Intern Med. 1998;158: 2341-2348. 
 
Meydani S. Effects of (n-3) polyunsaturated fatty acids on cytokine production and their biological function. 
Nutrition 1996; 12 (1 Suppl): S8-14. 
 
Meydani SN, Endres S, Woods MM, Goldin BR, Soo C, Morrill-Labrode A, Dinarello CA, Gorbach SL. Oral (n-
3) fatty acid supplementation suppresses cytokine production and lymphocyte proliferation: comparison between 
young and older women. J Nutr. 1991;121:547-55. 
 
Meydani SN, Lichtenstein AH, Cornwall T, Meydani M, Goldin BR, Rasmussen H, Dinarello CA, Schaefer EJ. 
Immunological effects of national cholesterol education panel Step-2 diets with and without fish-derived n-3 fatty 
acid enrichment. J Clin Invest 1993; 92:105-113. 
 
Meyers CA. Mood and cognitive disorders in cancer patients receiving cytokine therapy. In: Cytokines, stress and 
depression, Danzer R, Wollman EE, Yirmiya R (editors), Kluwer Academic/Plenum Publishers, New York, 1999, 
75-81 
 
Mikova O, Yakimova R, Bosmans E, Kenis G, Maes M. Increased serum tumor necrosis factor alpha 
concentrations in major depression and multiple sclerosis. Eur Neuropsychopharmacol. 2001;11(3):203-8.  
 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
38 
 
Miller B, Sarantis M, Traynelis SF, Attwell D.  Potentiation of NMDA receptor currents by arachidonic acid.  
Nature 1992; 355:722-725. 
 
Miller AH, Maletic V, Raison CL. Inflammation and Its discontents: The role of cytokines in the pathophysiology 
of major depression. Biological Psychiatry 2009;65:732-741. 
 
Mischoulon D, Best-Popescu C, Laposata M, Merens W, Murakami JL, Wu S, Papakostas GI, Dording CM, 
Sonawalla SB, Nierenberg AA, Alpert JE, Fava M. A double-blind dose-finding pilot study of docosahexaenoic 
acid (DHA) for major depressive disorder. Eur Neuropsychopharm 2008; 18:639-645. 
 
Mischoulon D, Nierenberg AA, Schettler PJ, Kinkead B, Fehling K, Martinson M, Rapaport MH. A Double 
Blind, Randomized Controlled Clinical Trial Comparing Eicosapentaenoic Acid versus Docosahexaenoic Acid 
for Depression . J Clin Psychiatry 2015 Jan;76(1):54-61. 
 
Mischoulon D, Papakostas GI, Dording CM, Farabaugh AH, Sonawalla SB, Agoston M, Smith J, Beaumont E, 
Dahan L, Alpert JE, Nierenberg AA, Fava M.A double-blind, randomized controlled trial of ethyl-
eicosapentaenoate for major depressive disorder. J Clin Psychiatry 2009; 70:1634-1644. 
 
Mozaffari-Khosravi H, Yassini-Ardakani M, Karamati M, Shariati-Bafghi SE. Eicosapentaenoic acid versus 
docosahexaenoic acid in mild-to-moderate depression: A randomized, double-blind, placebo-controlled trial. Eur 
Neuropsychopharmacol 2013; 23:636-644. 
 
Muller N, Hofschuster E, Ackenheil M, Mempel W, Eckstein R. Investigations of the cellular immunity during 
depression and the free interval: evidence for an immune activation in affective psychosis. Prog 
Neuropsychopharmacol Biol Psychiatry 1993;17(5):713-30. 
 
Murumalla R, Bencharif K, Gence L, Bhattacharya A, Tallet F, Gonthier MP, Petrosino S, di Marzo V, Cesari M, 
Hoareau L, Roche R.  Fatty acids do not pay the toll: effect of SFA and PUFA on human adipose tissue and 
mature adipocytes inflammation. Lipids Health Dis. 2012; 21;11:175. 
 
Musselman DL, Evans DL, Nemeroff CB. The relationship of depression to cardiovascular disease: 
epidemiology, biology, and treatment. Arch Gen Psychiatry. 1998 Jul;55(7):580-92.  
 
Musselman D, Miller A, Porter MR, Manatunga A, Gao F, Penna S, Pearce B, Landry J, Glover S, McDaniel JS, 
Nemeroff C. Higher Than Normal Plasma Interleukin-6 Concentrations in Cancer Patients With Depression:  
Preliminary Findings.  Am J Psychiatry 2001a; 158: 1252-1257. 
 
Musselman DL, Lawson DH, Gumnick JF, Manatunga AK, Penna S, Goodkin RS, Greiner K, Nemeroff CB, 
Miller AH. Paroxetine for the prevention of depression induced by high-dose interferon alpha. N Engl J Med. 
2001b;344(13):961-6.   
 
Nemets B, Stahl ZM, Belmaker RH. Addition of omega-3 fatty acid to maintenance medication treatment for 
recurrent unipolar depressive disorder. Am J Psychiatry 2002; 159:477-479. 
 
Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin questionnaire to identify patients at risk 
for the sleep apnea syndrome. Ann Intern Med. 1999;131:485–491. 
 
Owen BM, Eccleston D, Ferrier IN, Young AH.  Raised levels of plasma interleukin-1B in major and postviral 
depression.  Acta Psychiatr Scand 2001:103: 226-228. 
 
Pedrelli P, Blais MA, Alpert JE, Shelton RC, Walker RS, Fava M. Reliability and validity of the Symptoms of 
Depression Questionnaire (SDQ). CNS Spectr. 2014;19(6):535-46. 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
39 
 
 
Peet M, Horrobin DF. A dose-ranging study of the effects of ethyl-eicosapentaenoate in patients with ongoing 
depression despite apparently adequate treatment with standard drugs. Arch Gen Psychiatry. 2002;59(10):913-9.   
 
Peet M, Murphy B, Shay J, Horrobin D. Depletion of omega-3 fatty acid levels in red blood cell membranes of 
depressive patients. Biol Psychiatry 1998; 43:315-319. 
 
Penninx BW, Kritchevsky SB, Yaffe K, Newman AB, Simonsick EM, Rubin S, Ferrucci L, Harris T, Pahor M. 
Inflammatory markers and depressed mood in older persons: results from the Health, Aging and Body 
Composition study. Biol Psychiatry 2003; 54(5):566-72.   
 
Phillips T, Childs AC, Dreon DM, Phinney S, Leeuwenburgh C. A dietary supplement attenuates IL-6 and CRP 
after eccentric exercise in untrained males.  Medicine & Science in Sports & Exercise 2003 (03); 2032-2037  
 
Posner K, Oquendo MA, Gould M, Stanley B, Davies M. Columbia classification algorithm of suicide assessment 
(C-CASA): Classification of suicidal events in the FDA’s pediatric suicidal risk analysis of antidepressants. Am J 
Psychiatry 2007; 164:1035-1043. 
 
Pratt LA, Ford DE, Crum RM, Armenian HK, Gallo JJ, Eaton WW. Depression, psychotropic medication, and 
risk of myocardial infarction. Circulation. 1996;94:3123-3129. 
 
Purasiri P, McKechnie A, Heys SD, Eremin O. Modulation in vitro of human natural cytotoxicity, lymphocyte 
proliferative response to mitogens and cytokine production by essential fatty acids. Immunology 1997; 92(2):166-
72. 
 
Raison, C.L., Rutherford, R.E., Woolwine, B.J., Chen, S., Schettler, P., Drake, D.F., Haroon, E., Miller, A.H. A 
randomized controlled trial of the tumor necrosis factor antagonist infliximab in treatment resistant depression: 
role of baseline inflammatory biomarkers. JAMA Psychiatry, 70:31-41, 2013.  
 
Rapaport MH, Nierenberg AA, Schettler PJ, Kinkead B, Cardoos A, Walker R, Mischoulon D. Inflammation as a 
predictive biomarker for response to omega-3 fatty acids in major depressive disorder: a proof-of-concept study. 
Mol Psychiatry. 2015 Mar 24. [Epub ahead of print]. 
 
Ross R. Atherosclerosis—an inflammatory disease. N Engl J Med. 1999;340: 115-126. 
 
Rothermundt M, Arolt V, Peters M, Gutbrodt H, Fenker J, Kersting A, Kirchner H. Inflammatory markers in 
major depression and melancholia. J Affect Disord. 2001a;63(1-3):93-102.   
 
Rothermundt M, Arolt V, Fenker J, Gutbrodt H, Peters M, Kirchner H. Different immune patterns in melancholic 
and non-melancholic major depression. Eur Arch Psychiatry Clin Neurosci. 2001b;251(2):90-7.  
 
Rothermundt M, Arolt V, Wiesmann M, Missler U, Peters M, Rudolf S, Kirchner H. S-100B is increased in 
melancholic but not in non-melancholic major depression. J Affect Disord. 2001c;66(1):89-93.  
 
Rugulies R. Depression as a predictor for coronary heart disease: a review and meta-analysis. Am J Prev Med. 
2002; 23:51-61  
 
Rush AJ, Giles DE, Schlesser MA, Fulton CL, Weissenburger J, Burns C. The Inventory for Depressive 
Symptomatology (IDS): Preliminary findings. Psychiatry Res 1986; 18:65– 87. 
 
Salem N.  Omega 3 fatty acids: molecular and biochemical aspects. In: Spiller GA, Scala J, eds.  New roles for 
selective nutrients, New York. Liss, 109:228, 1989. 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
40 
 
 
Salem N Jr, Kim HY, Yergey JA.  Docosahexaenoic acid: membrane function and metabolism. In: Simopoulos A, 
Kaifer R, Martin R, eds.  Health Effects of Polyunsaturated Fatty Acids in Seafoods.  Orlando, FL, Academic 
Press, pp.263-317, 1986. 
 
Salem N Jr, Niebylski C.  The nervous system has an absolute molecular species requirement for proper function.  
Mol Membr Biol 1995; 12:131-134. 
 
Salmond C, King P, Crampton P, et al. NZiDep: a New Zealand index of socioeconomic deprivation for individu-
als. Soc Sci Med. 2006;62:1474–1485. 
 
Sarason I, Johnson J, Siegel J.  Assessing the impact of life changes: development of the Life Experiences Survey. 
J Consult Clin Psychol 1978; 45(5): 932-946. 
 
Schmidt HD, Shelton RC, Duman RS. Functional biomarkers of depression: Diagnosis, treatment, and 
pathophysiology. Neuropsychopharmacology 2011; 36:2375-2394. 
 
Sheehan DV, Lecrubier Y, Sheehan KH, et al. The Mini-International Neuropsychiatric Interview (M.I.N.I.): the 
development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin 
Psychiatry 1998;59 Suppl 20: 22-33. 
 
Sheehan DV. Sheehan Disability Scale. In: Rush AJ, Pincus HA, First MB, et al., eds. Handbook of Psychiatric 
Measures. Washington, DC: American Psychiatric Association; 2000:113-115 
 
Silvers KM, Woolley CC, Hamilton FC, Watts PM, Watson RA. Randomized double-blind placebo-controlled 
trial of fish oil in the treatment of depression.  Prostaglandins, Leukotrienes and Essential Fatty Acids 72 (2005) 
211-218. 
 
Sperling RI, Benincaso AI, Knoell CT, Larkin JK, Austen KF, Robinson DR. Dietary omega-3 polyunsaturated 
fatty acids inhibit phosphoinositide formation and chemotaxis in neutrophils. J Clin Invest. 1993;91:651-60. 
 
Stoll AL, Locke CA. Omega-3 fatty acids in mood disorders: a review of neurobiological and clinical actions. In: 
Mischoulon D, Rosenbaum J, editors. Natural Medications for Psychiatric Disorders: Considering the 
Alternatives. Philadelphia: Lippincott Williams & Wilkins, 2002, pp.13-34. 
 
Stoll AL, Severus EW, Freeman MP, Rueter S, Zboyan HA, Diamond E, Cress KK, Marangell LB. Omega3 fatty 
acids in bipolar disorder: A preliminary double-blind, placebo-controlled trial. Arch Gen Psychiatry 1999; 
56:407-412. 
 
Su KP, Lai HC, Yang HT, Su WP, Peng CY, Chang JP, Chang HC, Pariante CM. Omega-3 fatty acids in the 
prevention of interferon-alpha-induced depression: results from a randomized, controlled trial. Biological 
Psychiatry 2014;76(7):559-66. 
 
Tanskanen A, Hibbeln JR, Hintikka J, Haatainen K, Honkalampi K, Viinamaki H. Fish consumption, depression, 
and suicidality in a general population (letter). Arch Gen Psychiatry 2001a; 58:512-513. 
 
Tanskanen A, Hibbeln J, Tuomilehto J, Uutela A, Haukkala A, Viinamaki H, Lehtonen J, Vartianinen. Fish 
consumption and depressive symptoms in the general population in Finland. Psychiatric Services 2001b; 52:529-
531. 
 
Taylor TG, Gibney MJ, Morgan JB. Homeostatic function and polyunsaturated fatty acids. Lancet 1979; ii:1378. 
  

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
41 
 
Thomas AJ, Davis S, Morris C, Jackson E, Harrison R, O'Brien JT.  Increase in interleukin-1beta in late-life 
depression. Am J Psychiatry. 2005 Jan;162(1):175-7.  
 
Tousoulis D, Plastiras A, Siasos G, Oikonomou E, Verveniotis A, Kokkou E, Maniatis K, Gouliopoulos N, Miliou 
A, Paraskevopoulos T, Stefanadis C. Omega-3 PUFAs improved endothelial function and arterial stiffness with a 
parallel antiinflammatory effect in adults with metabolic syndrome. Atherosclerosis. 2014;232(1):10-6. 
 
Trebble T, Arden NK, Stroud MA, Wootton SA, Burdge GC, Miles EA, Ballinger AB, Thompson RL, Calder PC. 
Inhibition of tumour necrosis factor-alpha and interleukin 6 production by mononuclear cells following dietary 
fish-oil supplementation in healthy men and response to antioxidant co-supplementation. Br J Nutr 2003;90:  
Upadhaya SD, Kim JC, Mullan BP, Pluske JR, Kim IH. Vitamin E and omega-3 fatty acids independently 
attenuate plasma concentrations of proinflammatory cytokines and prostaglandin E3 in Escherichia coli 
lipopolysaccharide-challenged growing-finishing pigs. J Anim Sci. 2015;93:2926-34. 
 
Vaddadi KS, Courtney T, Gilleard CJ, Manku MS, Horrobin DF. A double-blind trial of essential fatty acid 
supplementation in patients with tardive dyskinesia. Psychiatry Res 1989; 27:313-323. 
 
Wainwright PE, Xing HC, Mutsaers L, McCutcheon D, Kyle D.  Arachidonic acid offsets the effects on mouse 
brain and behavior of a diet with a low (n-6):(n-3) ratio and very high levels of docosahexaenoic acid.  Journal of 
Nutrition 1997; 127(1):184-93. 
 
Wang S, Wu D, Lamon-Fava S, Matthan NR, Honda KL, Lichtenstein AH. In vitro fatty acid enrichment 
of macrophages alters inflammatory response and cholesterol accumulation. Br J Nutr 2009;102:497- 
501. 
 
Witt MR, Nielsen M.  Characterization of the influence of unsaturated free fatty acids on brain 
GABA/benzodiazepine receptor binding in vitro.  J Neurochem 1994; 62:1432-1439. 
 
Xia Z, DePierre JW, Nassberger L. Tricyclic antidepressants inhibit IL-6, IL-1 beta and TNF-alpha release in 
human blood monocytes and IL-2 and interferon-gamma in T cells. Immunopharmacology 1996;34(1):27-37.  
 
Zanarini MC, Frankenburg FR. Omega-3 fatty acid treatment of women with borderline personality disorder: a 
double-blind, placebo-controlled pilot study. Am J Psychiatry 2003; 160:167-169. 
 
Zimmer L, Hembert S, Durand G, Breton P, Guilloteau D, Besnard JC, Chalon S.  Chronic n-3 polyunsaturated 
acid diet-deficiency acts on dopamine metabolism in the rat frontal cortex: a microdialysis study.  Neuroscience 
Letters 1998; 240(3):177-81. 
 
 
APPENDIX A:  Prohibited Supplements 
 
Any Supplement with “Omega 3” or “Fish Oil” in the product name is prohibited.  In addition, the following 
listed supplements also contain Omega 3 fatty acids and are therefore prohibited.  Patients should bring the bottles 
of all supplements they are using to the screening visit for review by study staff.  
 
Additional prohibited Omega-3 containing supplements: 
 
• 
Bausch and Lomb Ocuvite 
• 
GNC Triple Cod Liver Oil 
• 
MET-Rx Triple Omega 
• 
MRM Smart Blend 
• 
Nature Made Cod Liver Oil 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
42 
 
• 
New Chapter Wholemega 
• 
Nordic Naturals Ultimate Omega D3 
• 
Nordic Naturals Baby's DHA 
• 
Omax3 Ultra-Pure 
• 
WHC UnoCardio 1000 + Vitamin D 1000 
 
APPENDIX B: Description of Structured Interviews and Scales 
 
Berlin Questionnaire 
The Berlin Questionnaire (Netzer 1999) is a 10-item self-report scale that estimates a person’s risk for obstructive 
sleep apnea.  
 
Clinical Global Impressions - Severity (CGI-S) and Improvement (CGI-I)  
The CGI assessments (Guy, 1976) are ratings of severity of the disorder and of global improvement since 
beginning of the study.  These two instruments are completed by the clinician based on assessment of the patient's 
clinical status. They measure, based on history and scores on other instruments: a) CGI-S (severity): the current 
condition of the patient on a scale of 1-7 (1 being normal, and 7 being among the most severely ill patients); b) 
CGI-I (improvement): the degree of improvement, as perceived by the clinician, since the start of treatment on a 
scale of 1-7, 1 being very much improved, and 7 being very much worse.  Improvement in CGI ratings is used to 
determine the degree of response over time with a given treatment. 
 
Food Processor 7.8 Questionnaire  
(ESHA Research) Patients will fill out the questionnaire for three consecutive days between screening and 
baseline visit to assess their dietary intake of omega-3 PUFAs. Data from this questionnaire will be analyzed at 
the baseline visit prior to randomization. Using an average daily intake of 3.0 gm of total omega-3 PUFA as the 
cut-off value (as determined by a three day dietary intake analysis), subjects with high dietary intake of omega-3 
PUFA (and EPA) will not be included in the study.  The average value of 3.0 gm/day (for the past three days) was 
decided upon so as not to exclude a patient for the occasional intake of larger quantities of omega-3 PUFA shortly 
before the initiation of the screening process.  Subjects will be asked not to modify their routine diet through the 
period of the study and to advise the investigators if they do. 
 
Childhood Trauma Questionnaire (CTQ) 
The CTQ (Bernstein, 2003) is a 28-item self-report instrument that assesses childhood trauma in the following 
areas: physical, sexual and emotional abuse and physical and emotional neglect. Each item is rated on a scale of 1 
(never true) to 5 (very often true). The 5 subscales are then totaled, with scores ranging from 5-25 for each 
traumatic category.  
 
Cognitive and Physical Functioning Questionnaire (CPFQ) 
The CPFQ (Fava et al., 2009) is an 8-item self-report form that assesses difficulties with energy, alertness and 
cognition.  
Columbia Suicide Severity Rating Scale (CSSRS) 
The CSSRS (Posner et al., 2007) is a brief, standardized, clinician-administered measure that assesses the 
essential information (behavior, ideation, lethality and severity) and distinguishes between suicidal occurrences 
and non-suicidal self-injury.  The CSSRS is composed of 5 questions addressing suicidal behavior and 5 questions 
assessing suicidal ideation, and is endorsed by the FDA for clinical trials. This brief instrument systematically 
tracks suicidal ideation and behavior (e.g., suicide attempts, wish to die, thoughts of suicide, plan and intent), and 
classifies events according to the following categories: Suicidal events – completed suicide, suicide attempt, 
preparatory acts toward imminent suicidal behavior and suicidal ideation. Non-suicidal events – self-injurious 
behavior, no suicidal intent and other, no deliberate self-harm. Indeterminate or potentially suicidal events – 
self-injurious behavior, suicidal intent unknown. 
 
Hamilton Anxiety Rating Scale (HAM-A) 

Emory/MGH                                                    EPA in MDD      
protocol version 3.7, 2/7/2018 
43 
 
The HAM-A (Hamilton, 1959) is a 14-item clinician-administered scale that assesses psychic and somatic 
symptoms of anxiety in the previous week.   
 
Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C30) 
The IDS-C30 (Rush et al., 1986) is designed to assess severity of depression. Thirty questions focus on 
neurovegetative and other depressive symptoms experienced over the past 7 days. Higher scores indicate more 
severe pathology. A decrease of 50% or more in the IDS-C score is considered to be a positive response to 
treatment, while a final score of 11 or less is considered typical of remission.  
 
Life Experiences Survey (LES) 
The LES (Sarason et al., 1978) is a 43 item scale that lists numerous events which individuals may experience and 
call for social readjustment. Subjects are asked to indicate events which they have experienced during the 
previous reporting period and whether these events were perceived as positive or negative. Additionally, subjects 
are asked to rate on a 7-point scale the degree of impact these events have on their lives. From these responses it 
is possible to derive three life change scores: positive, negative, and total.  
 
Mini-International Neuropsychiatric Interview, Version 7.0 (MINI) 
The MINI (Sheehan et al., 1998)) is a short structured diagnostic interview for DSM 5 and ICD-11 psychiatric 
disorders. It is easier and faster to administer than the Structured Clinical Interview for DSM-5 and provides an 
accurate structured psychiatric interview for multicenter clinical trials. 
 
Patient Health Questionnaire (PHQ-15)  
The PHQ-15 (Kroenke et al., 2002) contains the most prevalent symptoms found in US primary care, and covers 
the past four weeks. It measures symptom severity with a 3-point scale, and is recommended for studies that focus 
on common somatic symptoms. 
 
Perceived Stress Scale (PSS) 
The PSS (Cohen et al., 1998) is a 14-item self-rated scale that measures subjective experience of stress, 
specifically the degree to which situations in one’s life are appraised as stressful, unpredictable, uncontrollable, 
and overloading. 
 
The Quality of Life Satisfaction Questionnaire-short form (Q-LES-Q) 
The Q-LES-Q (Endicott et al., 1993)) is a 14-item patient-administered instrument that rates quality of life 
satisfaction on a 1-5 scale, with 13 specific areas of life, as well as medication, and overall life satisfaction over 
the past week.  
 
Sheehan Disability Scale (SDS)  
The SDS (Sheehan, 2000) is a patient-rated instrument designed to assess the impact of perceived problems on 
work productivity, social/leisure activities, and family life/home responsibilities. The Sheehan Disability Scale 
consists of 3 questions rated on a visual analog scale (0 to 10). Higher scores represent greater impairment of 
activity. 
 
Symptoms of Depression Questionnaire (SDQ)  
The SDQ (Pedrelli et al., 2014) is a validated self-rating instrument has 43 items on a scale of 1-6, measuring 
multiple depressive symptom domains. The time frame for this scale is the past 24 hours. 
 
United States Index of Deprivation (USiDep) 
The USiDep is an 8-item self-report questionnaire derived from the New Zealand Index of Deprivation (Salmond 
et al., 2006).  The scale assesses a patient’s economic stress by inquiring about ability to pay for such things as 
heating, clothes and food items.