- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05571878
Is Brain Insulin Resistance a Feature of the Biology of Depression in Adolescents
Is Brain Insulin Resistance a Feature of the Biology of Depression: A Pilot Multi-modality Neuroimaging Study in Adolescents
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
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.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Ontario
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Toronto, Ontario, Canada, M6J 1H3
- Centre for Addiction and Mental Health
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
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 5-95th population percentile and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) ≤2.5 calculated using fasting blood work values (glucose and insulin)
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 (fasting glucose ≥6.0 mmol/l or use of anti-diabetic drug)
- 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)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Sequential Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Crossover: Insulin and Placebo
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). |
All participants will be given an intranasal insulin challenge (80 IU) to assess brain insulin signalling via MRI based assay
Other Names:
All participants will be given an intranasal saline placebo (0.8 mL) in order to establish baseline brain insulin signalling via MRI based assay
Other Names:
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What is the study measuring?
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.
Time Frame: Study Visit 1- MRI #1 15 minutes after intranasal challenge #1, MRI #2 15 minutes after intranasal challenge #2
|
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).
|
Study Visit 1- MRI #1 15 minutes after intranasal challenge #1, MRI #2 15 minutes after intranasal challenge #2
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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
Time Frame: 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
|
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
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Correlation between brain insulin resistance with cognitive functioning at baseline and 6-month study follow up
Time Frame: 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
|
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
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation between brain insulin resistance and peripheral insulin resistance at baseline and 6-month study follow up
Time Frame: Peripheral Insulin Resistance: Study Visit 1, pre-MRI #1 and post-MRI #2, and 6-month follow-up study visit; Brain Insulin Resistance: Study Visit 1, during MRI scan #1 and #2
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Primary outcome measures will be used to assess the correlation between brain insulin resistance (MRI measures; described in Outcome 1) with peripheral insulin resistance. Peripheral Insulin Resistance - Fasting bloodwork: Glucose (mmol/L), insulin (pmol/L), C-peptide (pmol/L). |
Peripheral Insulin Resistance: Study Visit 1, pre-MRI #1 and post-MRI #2, and 6-month follow-up study visit; Brain Insulin Resistance: Study Visit 1, during MRI scan #1 and #2
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Correlation between brain insulin resistance, and hepatic and visceral adiposity
Time Frame: Hepatic and Visceral Adiposity: Study Visit 1, during MRI #1; Brain Insulin Resistance: Study Visit 1, during MRI scan #1 and #2
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Primary outcome measures will be used to assess the correlation between brain insulin resistance (MRI measures; desired in Outcome 1) with hepatic and visceral adiposity Hepatic and Visceral Adiposity- Abdominal MRI Scan (cm^3) |
Hepatic and Visceral Adiposity: Study Visit 1, during MRI #1; Brain Insulin Resistance: Study Visit 1, during MRI scan #1 and #2
|
Collaborators and Investigators
Investigators
- Principal Investigator: Mahavir Agarwal, MD, PhD, Centre for Addiction and Mental Health
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Mental Disorders
- Metabolic Diseases
- Behavioral Symptoms
- Glucose Metabolism Disorders
- Diabetes Mellitus
- Mood Disorders
- Hyperinsulinism
- Depressive Disorder
- Behavior
- Nutritional and Metabolic Diseases
- Diabetes Mellitus, Type 2
- Depression
- Depressive Disorder, Major
- Insulin Resistance
- Hormones
- Hormones, Hormone Substitutes, and Hormone Antagonists
- Peptide Hormones
- Peptides
- Amino Acids, Peptides, and Proteins
- Insulins
- Pancreatic Hormones
- Insulin, Short-Acting
- Insulin Lispro
Other Study ID Numbers
- 030/2020
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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