Is Brain Insulin Resistance a Feature of the Biology of Depression in Adolescents

Study Overview
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Brief Summary
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This study will examine if brain insulin resistance is a feature of depression in humans using magnetic resonance imaging (MRI) measures sensitive to brain insulin action. This study will examine adolescents, as depression onset commonly occurs during this age, and the impacts of cumulative medication exposure and other lifestyle-related confounds are also lower in this age group, improving our ability to understand the underlying biology.

Detailed Description
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BACKGROUND: Major depressive disorder (MDD) is associated with metabolic dysfunction, including higher body mass index and increased risk for type 2 diabetes (T2D). This relationship is bidirectional as insulin resistance is associated with greater depressive symptom severity and worse cognition. These nested relationships between metabolic and mental health have encouraged a reconceptualization of MDD as a metabolic disorder. In this context, insulin in the brain has been implicated as a potential mediator unifying the mechanisms underlying metabolic and mental health. There is early evidence supporting this hypothesis; mice with brain-specific knockout of insulin receptor exhibited depression-like behavior that was reversed by treatment with monoamine oxidase inhibitors, while anti-diabetic agents that can potentially cross the blood-brain barrier have shown initial promise in reducing depressive symptoms. HYPOTHESES: 1) Adolescents diagnosed with MDD will have greater brain insulin resistance in comparison to matched healthy controls. 2) Greater brain insulin resistance will be associated with increased illness severity, worse cognitive performance, and worse short-term outcomes (i.e., at 6 months) in the depression group. 3) Greater peripheral insulin resistance (measured using fasting blood work) and hepatic and visceral adiposity (measured using MRI) will be associated with greater brain insulin resistance. APPROACH AND METHODOLOGY: Twelve adolescents with depression (14 to 18 years old) and 12 age-, sex-, and BMI-matched healthy controls will be recruited for the study. In a single-blinded crossover design, all 24 participants will undergo fasting blood work (glucose, insulin, and c-peptide) followed by an MRI-based protocol of brain insulin action. This includes two MRI scans; one with intranasal insulin challenge (80 IU) and one with intranasal placebo. This protocol leverages the property of intranasal insulin to induce resting state connectivity and blood flow changes in the brain. This will be achieved using a 3 Tesla (3T) MRI scanner, where participants will undergo a high-resolution T1-weighted structural scan, a resting state functional MRI scan, and an arterial spin labeling scan. Single voxel 1H-magnetic resonance spectroscopy will also be employed to examine changes in glutamate levels in the frontal and temporal cortex. The difference in change induced by intranasal insulin compared to that with intranasal placebo will be utilized as an index of insulin activity since any difference observed between placebo and insulin during this controlled manipulation is likely to be due to the intranasal insulin. THINC-it, a brief cognitive assessment, will also be performed to measure cognitive function in relation to insulin induced brain changes. An abdominal surface coil scan will also be used to measure visceral and hepatic adiposity. Participants with depression will be invited for a six-month follow-up visit to repeat fasting blood work, along with clinical and cognitive assessments. Age, sex, and BMI will be used as covariates in all analyses. SIGNIFICANCE: Demonstrating disrupted brain insulin action can provide novel insights into poorly understood mechanisms underlying the relationship between MDD and T2D. Evidence of brain insulin resistance early in the course of illness may also identify a modifiable risk factor that can be targeted using brain insulin sensitizers at the earliest stages of the illness. Thus, this work that lies at the intersection of psychiatry, physiology, and psychopharmacology has the potential to generate new knowledge and improve outcomes in an area of significant unmet need.

Official Title
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Is Brain Insulin Resistance a Feature of the Biology of Depression: A Pilot Multi-modality Neuroimaging Study in Adolescents

Conditions
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Major Depressive Disorder, Depression

Intervention / Treatment
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* Drug: Humalog
* Drug: Saline nasal spray


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Age 14- 18 One of the following: Diagnosis of Major Depressive Disorder (MDD) or Persistent Depressive Disorder (PDD); or score ≥22 on the Mood and Feeling Questionnaire and confirmation of depression with the Mini International Neuropsychiatric Interview Kid (MINI Kid) BMI between 15-85th percentile Exclusion Criteria: History of primary psychotic illness Use of antipsychotics or mood stabilizers History of current substance use disorder (moderate to severe) Pre-diabetes or diabetes Evidence of impaired glucose tolerance on screening oral glucose tolerance test (OGTT) Use of weight, lipids, or blood pressure reducing agents History of liver disease or AST>2 times upper limit of normal History of kidney disease MRI contraindications Positive pregnancy test Allergic to exogenous insulin Positive result on urine drug screen (participants with positive cannabis and alcohol urine drug screens may still be eligible for the study; positive drug screens for other substances will be exclusionary)

Ages Eligible for Study
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Minimum Age: 14 Years
Maximum Age: 18 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Basic Science
Intervention Model: Sequential Assignment
Interventional Model Description: The study will follow a single blind, crossover design wherein each participant will complete an MRI based protocol of brain insulin action. After an overnight fast, fasting bloodwork will be obtained, followed by two MRI scans: one with intranasal placebo and one with intranasal insulin challenge (80 IU; 40 IU per nostril). Between scans they will have a short break and be asked to complete a cognitive assessment. Participants with depression will complete a 6-month follow-up visit to track changes in metabolic health, illness severity, and cognitive function.
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Crossover: Insulin and Placebo<br>Twelve adolescents who have a confirmed depression diagnosis or experiencing depression will be used as the study population group against 12 healthy adolescents who will be used as the healthy study population group. Both the health control group and medication-free adolescents with depression will receive the same drug conditions (intranasal insulin and intranasal placebo). | Drug: Humalog<br>* All participants will be given an intranasal insulin challenge (80 IU) to assess brain insulin signalling via MRI based assay<br>* Other names: Intranasal Insulin;Drug: Saline nasal spray<br>* All participants will be given an intranasal saline placebo (0.8 mL) in order to establish baseline brain insulin signalling via MRI based assay<br>* Other names: Intranasal Placebo;|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| The change in brain imaging outcomes, measuring brain insulin resistance, following intranasal insulin or placebo challenges, compared between the participants with depression and healthy controls. | Brain insulin resistance will be measured by changes in fMRI, 1H- MRS, and ASL measured during MRI scans following intranasal insulin and placebo challenge. These changes will be compared within subjects and between groups (depression vs controls). Resting state functional MRI (fMRI) will measure connectivity between prefrontal brain regions and hippocampus. Single voxel proton magnetic resonance spectroscopy (1H- MRS) will measure the glutamate levels in the temporal and frontal cortex. Arterial spin labeling (ASL) will be used to measure cerebral blood flow in the hypothalamus and the prefrontal cortex. | Study Visit 1- MRI #1 15 minutes after intranasal challenge #1, MRI #2 15 minutes after intranasal challenge #2 | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Correlation between brain insulin resistance with illness severity and cognitive functioning at baseline and 6-month study follow up | Primary outcome measures will be used to assess the correlation between brain insulin resistance (MRI measures; described in Outcome 1) and illness severity. Illness Severity- Center for Epidemiological Studies- Depression Scale for Children (CES-DC). 20 item self-report depression inventory with possible scores ranging from 0-60. Higher scores are indicative of worse illness severity. A cut-off score of 15 is suggestive of depressive symptoms in children and adolescents. | Illness Severity: Study Visit 1, pre-intervention (MRI scan #1), and 6-month follow-up study visit following fasting blood work; Brain Insulin Resistance: Study Visit 1, during MRI scan #1 and #2 | 
| Correlation between brain insulin resistance with cognitive functioning at baseline and 6-month study follow up | Primary outcome measures will be used to assess the correlation between brain insulin resistance (MRI measures; described in Outcome 1) with cognitive functioning. Cognitive Functioning- THINC-it® (interactive cognitive assessment tool). Brief screening tool designed to measure cognition and determine whether cognitive functioning is impaired. Higher score is indicative of better performance, scores can range from 0-4000. | Cognitive Function: Study Visit 1, during break between MRI scan #1 and #2, and 6-month follow-up study visit following fasting blood work; Brain Insulin Resistance: Study Visit 1, during MRI scan #1 and #2 | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Major Depressive Disorder, Insulin Resistance, Type 2 Diabetes, Depression