# Relationship between Acute Phase Proteins and Serum Fatty Acid Composition in Morbidly Obese Patients

Authors: Ricardo Fernandes; Bruna Teles Soares Beserra; Raphael Salles Granato Cunha; Elaine Hillesheim; Carolina de Quadros Camargo; Danielle Cristina Tonello Pequito; Isabela Coelho de Castro; Luiz Cláudio Fernandes; Everson Araújo Nunes; Erasmo Benício Santos de Moraes Trindade
Journal: Disease Markers
 (2013)

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## Abstract

Background. Obesity is considered a low-grade inflammatory state and has been associated with increased acute phase proteins as well as changes in serum fatty acids. Few studies have assessed associations between acute phase proteins and serum fatty acids in morbidly obese patients. Objective. To investigate the relationship between acute phase proteins (C-Reactive Protein, Orosomucoid, and Albumin) and serum fatty acids in morbidly obese patients. Methods. Twenty-two morbidly obese patients were enrolled in this study. Biochemical and clinical data were obtained before bariatric surgery, and fatty acids measured in preoperative serum. Results. Orosomucoid was negatively correlated with lauric acid (P=0.027) and eicosapentaenoic acid (EPA) (P=0.037) and positively with arachidonic acid (AA) (P=0.035), AA/EPA ratio (P=0.005), and n-6/n-3 polyunsaturated fatty acids ratio (P=0.035). C-Reactive Protein (CRP) was negatively correlated with lauric acid (P=0.048), and both CRP and CRP/Albumin ratio were negatively correlated with margaric acid (P=0.010, P=0.008, resp.). Albumin was positively correlated with EPA (P=0.027) and margaric acid (P=0.008). Other correlations were not statistically significant. Conclusion. Our findings suggest that serum fatty acids are linked to acute phase proteins in morbidly obese patients.


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## Body

## 1. Introduction

Obesity is a chronic multifactorial disease, among which are environmental, nutritional, and genetic factors, characterized by the excessive accumulation of body fat, causing damage to health [1].Data from World Health Organization [1] have shown that obesity has more than doubled since 1980s, reaching epidemic proportions. In 2008, approximately 1.5 billion adults were overweight and of these, at least 200 million were obese men and 300 million were obese women. This represents a serious public health problem, because obese subjects are more susceptible to the development of obesity-related diseases such as hypertension, diabetes mellitus, congestive heart failure, asthma, sleep apnea, and venous thromboembolism [2]. In cases of failure in clinical treatment, bariatric surgery is a consistent therapeutic resource, providing reduction in mortality and improvement of clinical comorbidities [3, 4].In obese subjects there is an increase in the secretion of inflammation-related proteins by adipose tissue, such as cytokines and acute phase proteins, which increase the production and circulation of other inflammatory mediators, contributing to the formation of a low-grade chronic inflammatory state [5, 6].In addition, dietary fatty acids are among the important factors of low-grade inflammation. The serum fatty acids in humans can be used as a biomarker of fatty acid intake [7, 8] and have been involved with the development of chronic diseases, including metabolic syndrome and obesity [9, 10]. High proportions of saturated fatty acids (SFA) and low proportions of n-3 polyunsaturated fatty acids (PUFA) and monounsaturated fatty acids (MUFA) are associated with obesity [11, 12].A limited number of studies have verified the association between serum fatty acids composition and acute phase proteins, all of them in nonobese subjects [13–18]. These studies showed that serum CRP concentrations were inversely associated with PUFA, such as alpha-linolenic acid [13–15], linoleic acid [16–18], eicosapentaenoic acid (EPA) [14, 16], and docosahexaenoic acid (DHA) [16], while SFA and MUFA such as palmitic acid [13], palmitoleic acid [17, 18], and oleic acid [17] were positively associated with CRP. Regarding albumin and ORM, there is a lack of information about the relationship between serum fatty acids and these acute phase proteins, both in obese and nonobese subjects.Based on the above considerations, the aim of this study was to investigate the relationship between acute phase proteins (C-Reactive Protein, Orosomucoid and Albumin) and serum fatty acids in morbidly obese patients. Our hypothesis is that SFA will be positively correlated with positive acute phase proteins, while PUFA will demonstrate an opposite behavior.


## 2. Materials and Methods

### 2.1. Participants

From August to November 2011, a convenience sample of patients who were scheduled to undergo Roux-en-Y gastric bypass (n=28) in the University Hospital of the Federal University of Santa Catarina (Florianópolis, Brazil) was invited to participate in this cross-sectional study.Inclusion criteria for participation were age >18 years, body mass index (BMI) >40 kg/m² or BMI >35 kg/m² with at least one comorbidity (e.g., hypertension, diabetes), and previously dietary and pharmacological treatment failure. Exclusion criteria for participation were significant intellectual limitations without adequate family support, uncontrolled psychiatric disorder, alcohol or drug dependency, current treatment with antibiotics and/or anti-inflammatory drugs, trauma, surgery or hospitalization in the last 30 days, and presence of cancer and/or genetic diseases.Patients received interdisciplinary education about risks and changes in habits inherent in a major surgery on the digestive tract and the need for postoperative lifestyle changes. All patients underwent surgical, endocrinological, psychological, and nutritional evaluations before surgery.This study was approved by the Ethics Committee on Research with Human Beings of this institution, which is in accordance with the Helsinki’s World Medical Declaration [19]. All eligible patients were invited to participate and those interested signed an Informed Consent Form.


### 2.2. Blood Collection

Blood samples (10 mL) were collected in the morning, before surgery procedure, after overnight fast of 8 to 12 hours. A cubital venipuncture was performed in the region of the forearm by a trained professional. Samples were collected in tubes with serum separator gel. They were left at room temperature for 30 minutes and then centrifuged at 2500 RCF (g) for 10 to 15 minutes to isolate serum. An aliquot was stored in a −80°C freezer until analysis.


### 2.3. Assessment of Biochemical Parameters

Serum concentrations of CRP and ORM were determined by immunonephelometry (Siemens Dade Behring Inc., Newark, DE, USA) [20] and Albumin was determined by automated colorimetric method (Siemens Healthcare Diagnostics Inc., Newark, DE, USA) [21]. CRP concentrations were expressed as mg/L, ORM in mg/dL, and Albumin in g/dL.CRP/Albumin ratio proposed by Correa et al. [22] was used to evaluate inflammatory and nutritional prognosis of patients, classified as follows: no risk < 0.4; low risk = 0.4–1.2; medium risk = 1.2–2.0 and  high risk > 2.0. This index represents a simplification of the Prognostic Inflammatory and Nutritional Index proposed by Ingenbleek and Carpentier [23].


### 2.4. Serum Fatty Acid Profile

Serum lipids were extracted using chloroform: methanol (2 : 1, vol : vol) according to the method described by Folch et al. [24]. Then, the lipid extracts were suspended in methanol and pH adjusted to ≥12 with 5 mol/L NaOH. The aqueous solution was acidified with hydrochloric acid (pH≤3) and subjected to a new lipid extraction by hexane, followed by evaporation of gas N2 at 37°C. Fatty acids were derivatized with 4-bromomethyl-7-coumarin and acetonitrile and then separated on a high performance liquid chromatography using an octadecylsilica column (25 cm × 4.6 mm i.d.; particle size 5 mm). The flow rate of 1 mL/min of acetonitrile/water (77 : 23, v/v) was applied. The standard mixture of fatty acids was obtained from Sigma Chemical Co. (St. Louis, MO, USA). The elution sequence and limit of detection were determined. The minimum limit of quantification of the fatty acids ranged from 1 to 10 ng. Fatty acid derivatives were detected by fluorescence (325 nm excitation, 398 nm emission), and data was integrated and analyzed by the workstation Pro-Star LC 6.0. The amounts of fatty acids were expressed as the percentage of the sum of the fatty acids that were analysed.


### 2.5. Anthropometry Measurements

Presurgical height and weight were obtained with participants wearing light clothing and no shoes, by a nutritionist, following standardized techniques [25]. Weight was measured using an electronic scale platform (Welmy, Santa Bárbara d’Oeste, São Paulo, Brazil), with a capacity of 300 kg and accuracy of 0.050 kg. Height was measured by a stadiometer coupled to platform with a capacity of 2.00 m and accuracy of 0.5 cm. BMI was calculated as weight (kg)/height2 (m) and classified according to World Health Organization [26].


### 2.6. Assessment of Other Variables

The following variables were also evaluated: patient age (years), gender, smoking status, use of medication, comorbidities, length of hospital stay, and need for ventilatory support. All data were collected from medical records. With regard to smoking status, those who had smoked≥100 cigarettes during their entire life and currently smoked every day or some days were considered current smokers. Former smokers were those who reported smoking ≥100 cigarettes during their lifetime and currently do not smoke. Nonsmokers were those who reported never having smoked 100 cigarettes during their entire life [27].


### 2.7. Data Analysis

Qualitative variables were described through absolute and relative frequencies, while quantitative variables were described using mean and standard deviation values or median and interquartile range values. Normality of variables was assessed by Shapiro-Wilks test. The correlation between fatty acid composition and acute phase proteins was investigated by Pearson’s (parametric variables) or Spearman’s (nonparametric variables) correlation analysis. A value ofP<0.05 was taken to indicate statistical significance. The database was typed in Microsoft Office Excel, and statistical analysis was conducted in STATA statistical software, version 11.0 (STATA corporation, College Station, TX, USA).


## 2.1. Participants

From August to November 2011, a convenience sample of patients who were scheduled to undergo Roux-en-Y gastric bypass (n=28) in the University Hospital of the Federal University of Santa Catarina (Florianópolis, Brazil) was invited to participate in this cross-sectional study.Inclusion criteria for participation were age >18 years, body mass index (BMI) >40 kg/m² or BMI >35 kg/m² with at least one comorbidity (e.g., hypertension, diabetes), and previously dietary and pharmacological treatment failure. Exclusion criteria for participation were significant intellectual limitations without adequate family support, uncontrolled psychiatric disorder, alcohol or drug dependency, current treatment with antibiotics and/or anti-inflammatory drugs, trauma, surgery or hospitalization in the last 30 days, and presence of cancer and/or genetic diseases.Patients received interdisciplinary education about risks and changes in habits inherent in a major surgery on the digestive tract and the need for postoperative lifestyle changes. All patients underwent surgical, endocrinological, psychological, and nutritional evaluations before surgery.This study was approved by the Ethics Committee on Research with Human Beings of this institution, which is in accordance with the Helsinki’s World Medical Declaration [19]. All eligible patients were invited to participate and those interested signed an Informed Consent Form.


## 2.2. Blood Collection

Blood samples (10 mL) were collected in the morning, before surgery procedure, after overnight fast of 8 to 12 hours. A cubital venipuncture was performed in the region of the forearm by a trained professional. Samples were collected in tubes with serum separator gel. They were left at room temperature for 30 minutes and then centrifuged at 2500 RCF (g) for 10 to 15 minutes to isolate serum. An aliquot was stored in a −80°C freezer until analysis.


## 2.3. Assessment of Biochemical Parameters

Serum concentrations of CRP and ORM were determined by immunonephelometry (Siemens Dade Behring Inc., Newark, DE, USA) [20] and Albumin was determined by automated colorimetric method (Siemens Healthcare Diagnostics Inc., Newark, DE, USA) [21]. CRP concentrations were expressed as mg/L, ORM in mg/dL, and Albumin in g/dL.CRP/Albumin ratio proposed by Correa et al. [22] was used to evaluate inflammatory and nutritional prognosis of patients, classified as follows: no risk < 0.4; low risk = 0.4–1.2; medium risk = 1.2–2.0 and  high risk > 2.0. This index represents a simplification of the Prognostic Inflammatory and Nutritional Index proposed by Ingenbleek and Carpentier [23].


## 2.4. Serum Fatty Acid Profile

Serum lipids were extracted using chloroform: methanol (2 : 1, vol : vol) according to the method described by Folch et al. [24]. Then, the lipid extracts were suspended in methanol and pH adjusted to ≥12 with 5 mol/L NaOH. The aqueous solution was acidified with hydrochloric acid (pH≤3) and subjected to a new lipid extraction by hexane, followed by evaporation of gas N2 at 37°C. Fatty acids were derivatized with 4-bromomethyl-7-coumarin and acetonitrile and then separated on a high performance liquid chromatography using an octadecylsilica column (25 cm × 4.6 mm i.d.; particle size 5 mm). The flow rate of 1 mL/min of acetonitrile/water (77 : 23, v/v) was applied. The standard mixture of fatty acids was obtained from Sigma Chemical Co. (St. Louis, MO, USA). The elution sequence and limit of detection were determined. The minimum limit of quantification of the fatty acids ranged from 1 to 10 ng. Fatty acid derivatives were detected by fluorescence (325 nm excitation, 398 nm emission), and data was integrated and analyzed by the workstation Pro-Star LC 6.0. The amounts of fatty acids were expressed as the percentage of the sum of the fatty acids that were analysed.


## 2.5. Anthropometry Measurements

Presurgical height and weight were obtained with participants wearing light clothing and no shoes, by a nutritionist, following standardized techniques [25]. Weight was measured using an electronic scale platform (Welmy, Santa Bárbara d’Oeste, São Paulo, Brazil), with a capacity of 300 kg and accuracy of 0.050 kg. Height was measured by a stadiometer coupled to platform with a capacity of 2.00 m and accuracy of 0.5 cm. BMI was calculated as weight (kg)/height2 (m) and classified according to World Health Organization [26].


## 2.6. Assessment of Other Variables

The following variables were also evaluated: patient age (years), gender, smoking status, use of medication, comorbidities, length of hospital stay, and need for ventilatory support. All data were collected from medical records. With regard to smoking status, those who had smoked≥100 cigarettes during their entire life and currently smoked every day or some days were considered current smokers. Former smokers were those who reported smoking ≥100 cigarettes during their lifetime and currently do not smoke. Nonsmokers were those who reported never having smoked 100 cigarettes during their entire life [27].


## 2.7. Data Analysis

Qualitative variables were described through absolute and relative frequencies, while quantitative variables were described using mean and standard deviation values or median and interquartile range values. Normality of variables was assessed by Shapiro-Wilks test. The correlation between fatty acid composition and acute phase proteins was investigated by Pearson’s (parametric variables) or Spearman’s (nonparametric variables) correlation analysis. A value ofP<0.05 was taken to indicate statistical significance. The database was typed in Microsoft Office Excel, and statistical analysis was conducted in STATA statistical software, version 11.0 (STATA corporation, College Station, TX, USA).


## 3. Results

Of the 28 patients initially recruited, six were excluded for being in treatment with anti-inflammatory/antibiotic drugs (n=4) or refused to participate (n=2). Finally, the study involved 22 patients with mean age of 37.3±8.8 years, mean weight of 131.4±16.5 kg, and mean BMI of 47.7±4.4 kg/m2. The average length of hospital stay was 5.2±1.3 days and nobody needed to use ventilatory support.Table1 summarizes characteristics of the subjects studied. The majority of study participants were female, nonsmokers, presented classical obesity-related comorbidities, such hypertension and diabetes, and all patients used some type of medication. It is worth mentioning that due to the selection criteria, none of them made use of antibiotics or anti-inflammatory drugs.Table 1
Characteristics of morbidly obese subjects studied(n=22).
n (%)Female18 (81.8)Male4 (18.2)ComorbiditiesHypertension12 (54.5)Diabetes mellitus5 (22.7)Hypothyroidism3 (13.6)Cholelithiasis1 (4.6)Gastritis1 (4.6)Smoking statusNon-18 (81.8)Former3 (13.6)Current1 (4.5)Use of medicationAntihypertensive drugs9 (40.9)Thiazide diuretics4 (18.2)Oral hypoglycemic agents3 (13.6)Thyroid hormones3 (13.6)Insulin2 (9.1)Proton pump inhibitors1 (4.6)Biochemical parameters of the subjects studied are shown in Table2. Regarding the risk of inflammatory and nutritional complications using CRP/Albumin ratio, most patients were at high risk (n=18). Only one patient was classified as medium risk and three as low risk.Table 2
Biochemical parameters of morbidly obese subjects studied(n=22).
ParameterMean ± SDMedianMin–MaxAlbumin (g/dL)3.6±0.43.72.9–4.1CRP (mg/L)14.7±7.614.43.3–30.7ORM (mg/dL)107.7±21.8108.070.7–158.0CRP/Albumin4.2±2.34.30.8–8.3CRP: C-Reactive Protein; ORM: Orosomucoid; SD: standard deviation; Min: minimum; Max: maximum.In relation to serum fatty acid composition, one sample was discarded due to problems in its analysis; therefore only 21 samples were processed. Serum proportions of fatty acids are presented in Table3. The distribution pattern showed a high proportion of SFA (48%) and MUFA (35.9%) and a minor proportion of PUFA (16.1%), especially EPA (C20:5 n-3) and DHA (C22:6 n-3).Table 3
Serum fatty acid composition (%) of morbidly obese subjects studied(n=21).
Fatty acidMean ± SD(% of total fatty acids)Min–MaxSFAC12:0 (lauric acid)17.1±3.48.7–22.3C14:0 (myristic acid)4.8±0.72.9–6.0C16:0 (palmitic acid)21.5±3.316.8–23.9C17:0 (margaric acid)0.4 (0.3–1.0)a0.1–1.0C18:0 (stearic acid)4.1±1.22.3–6.5MUFAC16:1 n-7 (palmitoleic acid)20.7±3.114.2–25.3C18:1 n-9 (oleic acid)15.2±2.011.2–16.6n-3 PUFAC20:5 n-3 (EPA)1.2 (1.1–1.7)a0.9–1.9C22:6 n-3 (DHA)2.8±0.51.9–3.1n-6 PUFAC18:2 n-6 (linoleic acid)3.8 (3.0–4.4)a2.4–4.8C20:4 n-6 (AA)8.2±2.15.1–8.9n-6/n-32.9±0.81.5–5.0AA/EPA6.5±2.53.4–12.5PUFA/SFA0.3±0.10.2–0.5AA: arachidonic acid; EPA: eicosapentaenoic acid; DHA: docosahexaenoic acid; MUFA: monounsaturated fatty acids; PUFA: polyunsaturated fatty acids; SFA: saturated fatty acids SD: standard deviation. Min: minimum; Max: maximum.aMedian (interquartile range).Correlations between fatty acid composition and acute phase proteins (ORM, CRP, Albumin, and CRP/Albumin ratio) were analyzed (Table4). In morbidly obese patients, the concentrations of ORM were significantly and negatively correlated with the proportion of lauric acid (P=0.027) and EPA (P=0.037) and positively with arachidonic acid (AA) (P=0.035), AA/EPA ratio (P=0.005), and n-6/n-3 ratio (P=0.035). Likewise, CRP was significantly and negatively correlated with lauric acid (P=0.048), and both CRP and CRP/Albumin ratio were negatively correlated with margaric acid (P=0.010, P=0.008, resp.). Albumin was positively correlated with EPA (P=0.027) and margaric acid (P=0.008). Other correlations of fatty acids with the variables reported in Table 4 were not statistically significant.Table 4
Correlations between the relative contents of serum fatty acids and acute phase proteins in morbidly obese subjects studied(n=21).
Fatty acidsORMCRPAlbuminCRP/AlbuminSFAC12:0 (lauric acid)a-0.48*-0.44*0.07-0.38C14:0 (myristic acid)a-0.26-0.29-0.21-0.19C16:0 (palmitic acid)a0.200.10-0.200.14C17:0 (margaric acid)b-0.09-0.57*0.58*-0.59*C18:0 (stearic acid)a-0.190.030.110.03MUFAC16:1 n-7 (palmitoleic acid)a-0.100.240.080.18C18:1 n-9 (oleic acid)a0.140.23-0.070.19n-3 PUFAC20:5 n-3 (EPA)b-0.46*-0.290.51*-0.33C22:6 n-3 (DHA)a-0.07-0.140.06-0.12n-6 PUFAC18:2 n-6 (linoleic acid)b0.190.41-0.410.39C20:4 n-6 (AA)a0.46*0.01-0.110.01n-6/n-3a0.46*0.26-0.240.25AA/EPAa0.59*0.22-0.320.23PUFA/SFAa0.420.22-0.120.20AA: arachidonic acid; CRP: C-reactive Protein; EPA: eicosapentaenoic acid; DHA: docosahexaenoic acid; ORM: orosomucoid; MUFA: monounsaturated fatty acids; PUFA: Polyunsaturated fatty acids; SFA: saturated fatty acids.*P<0.05, aPearson’s correlation, bSpearman’s correlation.


## 4. Discussion

The findings in the present study are consistent with the hypothesis that EPA (n-3 PUFA) has anti-inflammatory properties while AA (n-6 PUFA) showed an opposite behavior [28–30]. In addition, we found significant and negative correlations between margaric acid and acute phase proteins, except for ORM, while lauric acid was significantly and negatively correlated with positive acute phase proteins only.The results are consistent with other studies that found high concentrations of CRP in obese subjects [31–33]. Chen et al. [32] suggested the use of CRP as a clinical indicator of the chronic inflammatory state in morbidly obese subjects. It should be highlighted that synthesis of CRP is directly related to the BMI [34]. Therefore, weight gain results in high CRP concentrations, which explains the high concentrations of CRP found in this study. According to the American Heart Association and Centers for Disease Control and Prevention (AHA-CDC), subjects with CRP >3 mg/L are at high risk for developing cardiovascular diseases [35]. In this work, all patients had CRP concentrations above 3 mg/L, a result that reinforces the use of CRP as a risk indicator in obese patients. Likewise, most participants (n=18) showed high risk of nutritional and inflammatory complications according to the CRP/Albumin ratio. It is worth noting that this result was due to the high values  of CRP  since most patients were within the reference range of albumin [21].Regarding Albumin, Schweiger et al. [36] found concentrations of this protein within the reference range in obese patients, similar to the results of this study, indicating that the low-grade inflammatory state would not be sufficient to promote a significant change in serum albumin. However, other investigations have observed a significant number (>10%) of obese patients with low serum albumin concentrations [37, 38]. Turner et al. [39] conducted a study in over 32,000 patients undergoing laparoscopic gastric bypass and concluded that preoperative serum albumin was considered the strongest predictor for morbidity and mortality in the first 30 days after surgery. Although many factors influence the development of complications after bariatric surgery and the majority of patients in this study showed a high risk of inflammatory and nutritional complications according to the CRP/Albumin ratio, no patient underwent ventilatory support or presented any immediate postoperative complication. Possibly, part of this positive result is due to normal concentrations of albumin.With regard to ORM, due to the slow increase in the synthesis after a stimulus and its immunomodulatory activity in situations of prolonged stress (e.g., obesity), this marker can be used as an indicator of chronic inflammation [40]. A limited number of studies have shown high concentrations of ORM in morbidly obese patients [41–43]. Like PCR, ORM shows positive correlation with BMI and adipose tissue [44], while the loss of weight leads to significant reduction of this protein [41–43]. In obese mice, ORM suppressed proinflammatory gene expression and pathways such as NF-κB and mitogen-activated protein kinase signaling and reactive oxygen species generation, protecting adipose tissue from excessive inflammation and from metabolic disfunction [40]. Thus, it is important to encourage studies that explore the role of ORM in human obesity and other metabolic diseases.About the fatty acid composition in human subjects, Hodson et al. [45] performed a compilation of nine studies on total plasma fatty acid composition in nonobese people, and, among the fatty acids analyzed, linoleic acid, palmitic acid, and oleic acid had the highest proportions, respectively. In the present study, palmitic acid, palmitoleic acid, and lauric acid showed the highest proportions, respectively. Studies with obese people showed a similar pattern compared to the results found in the current work, with high amounts of SFA and low amounts of PUFA [11, 12].Nevertheless, the proportions of lauric acid and palmitoleic acid observed are unusual and require discussion. The first reason why these acids showed high proportions could be due to the fact that fatty acids were expressed as relative amounts (as proportions of the total amount of fatty acids). As a result, if the relative content of one fatty acid decreases, the relative content of other fatty acids will increase. Because PUFA showed the lowest proportion in the study (16.1%) compared to the proportions of SFA (48%) and MUFA (35.9%), it is possible that the relative content of lauric and palmitoleic acids has increased. The second reason could be due to the desaturation processes that synthesise a variety of fatty acid species. Stearoil CoA Desaturase 1 (SCD-1) is a enzyme that catalyzes the biosynthesis of MUFA from dietary or de novo synthesized SFA precursors. High SCD-1 expression is directly correlated with metabolic diseases, such as obesity [46]. Thus, it should be considered that the palmitoleic acid in serum can be derived, in part, from palmitic acid. The last reason is related to the type of diet that the patients were instructed to follow prior to surgery. As described previously, all patients received interdisciplinary education, including dietary guidelines. According to these guidelines, all patients should reduce the caloric intake, especially lipids. In a controlled dietary intervention for six weeks, the effects of a moderate- and low-fat diet on the fatty acid composition of plasma were investigated [47]. After a low-fat diet, there is a notable increase in the palmitoleic acid content and a significant decrease in total PUFA content of plasma lipids. Moreover, other investigations revealed that the content of total plasma fatty acids is a marker of habitual dietary intake [48, 49]. Thus, the findings of the current work may reflect the pattern of habitual dietary intake of the patients and could also partly explain the high proportions of lauric acid and palmitoleic acid in total serum lipids, although dietary surveys have not  been conducted to confirm this hypothesis.Regarding the role of fatty acids in inflammation, controversial data are available regarding the proinflammatory role of SFA. It has been shown that lauric acid directly stimulates toll-like receptors 2/4 [50, 51] and induce secretion of proinflammatory cytokines in macrophages and dendritic cells. In contrast, Murumalla et al. [30] have shown that lauric and palmitic acids were not able to induce inflammation on primary culture of human adipose tissue and mature adipocytes. Similarly, Erridge and Samani [52] demonstrated that SFAs, (lauric, myristic, palmitic, and stearic acids) were not able to induce inflammation. These findings come close to the correlations found, wherein SFA did not correlate significantly and positively with positive acute phase proteins, which are related to proinflammatory activity.Among the fatty acids analyzed, margaric acid showed the highest correlation coefficients. Evidence is limited in obese patients regarding the associations of margaric acid with inflammatory markers. Warensjö et al. [53] observed that the proportions of margaric acid in serum phospholipids were significantly correlated with inflammatory markers, suggesting negative relationships with insulin resistance syndrome and risk of developing myocardial infarction. Maruyama et al. [54] reported that margaric acid was higher in women with than without metabolic syndrome and was correlated negatively with body fat percentage. Wang et al. [55] observed that among overweight, but not normal weight adolescents, high levels of margaric acid were associated with low levels of CRP. Despite the potential benefical effects of margaric acid, to our knowledge, there is no evidence showing whether this acid is involved in an anti-inflammatory cell signaling network and the underliyng mechanisms. In addition, there is no evidence linking ORM and albumin with margaric acid in obese subjects. Importantly, due to possible anti-inflammatory effects of margaric acid and its inverse correlation with pro-inflammatory markers and obesity-related comorbidities, a positive relationship is expected with albumin and a negative relationship with ORM and CRP. However, further studies are warranted, in order to elucidate the relationship between margaric acid, weight status, and inflammation.As expected, EPA was found to be inversely correlated with ORM and directly correlated with albumin. Differently, AA and  n-6/n-3 and AA/EPA ratios were positively correlated with ORM. With regard to EPA, previous studies have described a variety of mechanisms by which EPA may influence inflammatory pathways and exert protective effects [28]. In in vitro studies, EPA directly downregulates inflammatory genes by suppressing nuclear factor-κB activity [56] probably through activation of peroxisome proliferator-activated receptors (PPAR) [57]. EPA, as well as AA, plays an important role in regulating the immune system, acting as precursors for the synthesis of eicosanoids, including prostaglandins, thromboxanes, and leukotrienes [29]. In general, AA-derived eicosanoids, which generally exhibit proinflammatory actions, are more potent than mediators derived from EPA. However, EPA-derived eicosanoids may antagonise the proinflammatory actions of AA [29]. In this sense, it is expected that positive acute phase proteins, such as ORM, exhibit a positive correlation with AA and a negative correlation with EPA.Similar to CRP/Albumin ratio, fatty acids were expressed as ratios. No significant relationship was found between the PUFA/SFA ratio and proteins evaluated, probably because these lipid classes include many fatty acids which have different properties. On the other hand, n-6/n-3 ratio and AA/EPA ratio were positively correlated with ORM, suggesting a pro-inflammatory role of n-6 PUFA. In fact, high serum proportions of n-6 PUFA and n-6/n-3 ratio are associated with the  development of many diseases, including cardiovascular diseases, cancer, and inflammatory and autoimmune diseases [58].About the study’s limitations, it should be taken into account that the analysis is limited by the cross-sectional design, which does not allow the determination of temporal relationships. Moreover, we recognize that studies with greater sample size would be appropriate, controlling for potential confounding factors such as sex, smoking status, and age.In conclusion, our findings suggest that serum fatty acids are linked to acute phase proteins in morbidly obese patients. Given that most significant associations have occurred with ORM, this protein may be the preferable marker to use in studies investigating relationships between serum fatty acids and low-grade inflammation. Despite these findings, further studies are also needed to confirm and explain the associations with acute phase proteins and total serum fatty acid composition, particularly in morbidly obese patients.



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*Source: 913715-2013-07-28.xml*