- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04708535
Adaptive Immune Response in Visceral and Subcutaneous Fat: Role in Human Insulin Resistance
The proposed study is designed to test the hypothesis that in human obesity, the balance of pro- and anti-inflammatory T cells in fat tissue is in fact related to macrophage phenotype and insulin resistance, and how it is related.
This study is needed to confirm whether conclusions based on studies of visceral adipose tissue in mice are indeed applicable to humans.
We also want to determine the relationship between insulin resistance/hyperinsulinemia and ability to lose weight in obese individuals.
Study Overview
Status
Conditions
Detailed Description
Previous studies have found convincing evidence of the relationship between insulin resistance, T cell profiles, macrophage profiles and inflammation of the fat cells. This study will add human subjects to that body of evidence.
Overview Aim 1: Test the hypothesis that the balance of anti- inflammatory vs proinflammatory T cells is protective for systemic insulin resistance. T cell profiles in subcutaneous and visceral tissue and blood will be compared in IR vs IS obese humans at baseline and potentially after 12 months following weight loss. Tcell profile will be evaluated for relationships with IR and inflammation, with adjustment for total body fat. Secondarily, they will be evaluated for relationship to adipose cell size.
Overview Aim 2: Test the hypothesis that macrophage phenotype in adipose tissue is associated with T cell profile and IR. Frequency of macrophage phenotypes (M1 vs M2) will be analyzed in IR vs IS obese humans at baseline and potentially after 12 months following weight loss.
Overview Aim 3: Testing the hypothesis insulin resistance is associated with T cell receptor phenotypes in subcutaneous and visceral tissue. IR and IS subjects will be evaluated at baseline by sequencing of expressed TCRs in paired SAT, VAT, and blood. We will determine whether TCR phenotypes are shared between different IR individuals.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
-
-
California
-
Stanford, California, United States, 94305
- Stanford University
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Current patients of Stanford Healthcare, Bariatric Surgery Clinic, scheduled to undergo bariatric surgery (sleeve or RYGB)
- BMI 30-55kg/m2
- 30-65 years of age
- good general health, no major organ disease
- non-diabetic by current American Diabetes Association (ADA) criteria (fasting glucose <126mg/dl)
Exclusion Criteria:
- Subjects with any clinical or biochemical evidence of significant anemia, gastrointestinal, cardiac, hepatic or renal disease will be excluded.
- Subjects with other medical problems may participate as long as the problems are stable.
- Subjects with active psychiatric disorders or past history of bariatric surgery
- Pregnant or lactating women will also be excluded from the study, due to possible risk to the fetus or infant.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Bariatric Cohort
For consenting subjects who are undergoing bariatric surgery, a visceral fat sample will be taken during surgery.
In addition to the fat sample, insulin resistance will be measured and determined by a modification of the insulin suppression test.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
T-cell profile in visceral and subcutaneous fat
Time Frame: baseline (within 2 months prior to bariatric surgery)
|
Pro-inflammatory and anti-inflammatory T cell profiles in subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
baseline (within 2 months prior to bariatric surgery)
|
|
T-cell profile in visceral and subcutaneous fat
Time Frame: post-operatively (1-2 years status post bariatric surgery)
|
Pro-inflammatory and anti-inflammatory T cell profiles in subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
post-operatively (1-2 years status post bariatric surgery)
|
|
Adipose cell size associated with T cell profile and IR.
Time Frame: baseline (within 2 months prior to bariatric surgery)
|
Cell size of subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
baseline (within 2 months prior to bariatric surgery)
|
|
Adipose cell size associated with T cell profile and IR.
Time Frame: post-operatively (1-2 years status post bariatric surgery)
|
Cell size of subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
post-operatively (1-2 years status post bariatric surgery)
|
|
Macrophage phenotype
Time Frame: (Timeframe: baseline (within 2 months prior to bariatric surgery)
|
Frequency of macrophage phenotype (M1 vs M2) in subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
(Timeframe: baseline (within 2 months prior to bariatric surgery)
|
|
Macrophage phenotype
Time Frame: post-operatively (1-2 years status post bariatric surgery)
|
Frequency of macrophage phenotype (M1 vs M2) in subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
post-operatively (1-2 years status post bariatric surgery)
|
|
T cell receptor phenotypes
Time Frame: (Timeframe: baseline (within 2 months prior to bariatric surgery)
|
Frequency of T-cell receptors in subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
(Timeframe: baseline (within 2 months prior to bariatric surgery)
|
|
T cell receptor phenotypes
Time Frame: post-operatively (1-2 years status post bariatric surgery)
|
Frequency of T-cell receptors in subcutaneous adipose tissue and visceral adipose tissue measured via flow cytometry.
|
post-operatively (1-2 years status post bariatric surgery)
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in body weight
Time Frame: (Timeframe: baseline (within 2 months prior to bariatric surgery)
|
Percent body weight loss post bariatric surgery, accounting for insulin sensitivity, T-cell profile, cell size, and macrophage and T-cell phenotypes.
|
(Timeframe: baseline (within 2 months prior to bariatric surgery)
|
|
Change in body weight
Time Frame: post-operatively (1-2 years status post bariatric surgery)
|
Percent body weight loss post bariatric surgery, accounting for insulin sensitivity, T-cell profile, cell size, and macrophage and T-cell phenotypes.
|
post-operatively (1-2 years status post bariatric surgery)
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Tracey McLaughlin, MD, Stanford University
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
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
Other Study ID Numbers
- 40196
- 1-19-ICTS-073 (Other Grant/Funding Number: American Diabetes Association)
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Inflammation
-
University of EdinburghUmeå UniversityCompletedSystemic Inflammation | Respiratory InflammationSweden
-
University of AarhusAarhus University Hospital; University of CopenhagenCompletedSystemic Inflammation | Airway InflammationDenmark
-
Sykehuset TelemarkRikshospitalet University Hospital; Helse Sor-OstCompletedAirway Inflammation | Peripheral Blood Inflammation Markers | Cement Dust ExposureNorway
-
Center for Research and Innovation Viña Concha...Universidad Católica del MauleNot yet recruitingInflammaging | Antioxidant Status, Inflammation | Inflammation Biomarkers | Antioxidant Capabilities | Cardiometabolic Health IndicatorsChile
-
Central Hospital, Nancy, FranceRecruiting
-
Oral Science International Inc.AdvarraNot yet recruiting
-
University of NebraskaCompletedPeriodontal InflammationUnited States
-
University of California, DavisCompleted
-
Università degli Studi di BresciaCompletedVitreous Inflammation
-
University of NebraskaRecruiting