- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05833217
Obesity, Insulin Resistance, and PASC: Persistent SARS-CoV-2
December 2, 2024 updated by: Tracey McLaughlin, Stanford University
Obesity, Insulin Resistance, and PASC: Persistent SARS-CoV-2 Infection and Inflammation in Human Adipose Tissue
The investigators are studying the pathophysiologic links between obesity, insulin resistance (IR), adipose tissue infection, and post-acute sequelae of COVID-19 (PASC).
This study looks at whether adipose (fat) tissue contributes to PASC by driving chronic inflammation or by serving as a reservoir for SARS-CoV-2 persistence.
The results will not only determine whether obesity and IR are risk factors for PASC, but will also define fundamental biology that sets the stage for the investigation of novel or existing therapies that target the causal pathways identified.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
55
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Nicole Turk, BS
- Phone Number: 6508880144
- Email: nturk@stanford.edu
Study Locations
-
-
California
-
Palo Alto, California, United States, 94304
- Enrolling by invitation
- Clinical and Translational Research Unit
-
Palo Alto, California, United States, 94305
- Recruiting
- Stanford Health
-
Contact:
- Nicole Turk, BS
- Phone Number: 650-888-0144
- Email: nturk@stanford.edu
-
Principal Investigator:
- Tracey McLaughlin, MD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- Ages 18 to 80
- BMI ≥ 25 kg/m2
- not currently pregnant
Exclusion Criteria:
Arm 2 (Adipose Tissue Biopsy) exclusions include
- pregnancy
- prior liposuction
- recent change in weight (> 2 kg in one month)
- bleeding disorders
- anticoagulant use
Arm 3 (healthy controls only) exclusions include patients with
- major organ disease
- diabetes
- history of liposuction
- bariatric surgery
- eating disorders
- psychiatric disorders
- pregnancy or lactation
- recent change in weight (over the past 12 weeks),
- use of weight loss medication or oral steroids
- hematocrit < 33%
- fasting glucose >= 126 mg/dL
- blood pressure >160/100 mmHg
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Chart Review (not actively recruiting)
Chart review of previously consented participants from the entire NIH RECOVER cohort, comprised of 15,000 infected and 2,600 noninfected patients across the country.
|
|
|
Experimental: COVID infected and healthy controls
Participants will perform a needle fat biopsy for tissue harvesting in the subacute phase (15-30d) of Covid-19 infection or as a healthy control.
Our goal is 20 COVID-19 infected participants and 10 healthy controls.
|
After an overnight fast, approximately 1-2 grams of subcutaneous fat will be removed by a needle.
Participants will have a local anesthetic prior to the procedure.
The needle fat biopsy will be repeated at quarterly intervals for one year (every 3 months).
We will also draw 1 10mL tube of blood at each biopsy for measurement of inflammatory cytokines.
|
|
Experimental: Healthy Controls Only
We are looking for 20 healthy controls for 2 in-person visits on separate days.
|
After an overnight fast, approximately 1-2 grams of subcutaneous fat will be removed by a needle.
Participants will have a local anesthetic prior to the procedure.
The needle fat biopsy will be repeated at quarterly intervals for one year (every 3 months).
We will also draw 1 10mL tube of blood at each biopsy for measurement of inflammatory cytokines.
An Insulin Sensitivity Test (SSPG: Steady State Plasma Glucose) is performed to determine if participants are insulin sensitive or insulin resistant.
This test is approximately 5-6 hours in length.
Participants will be asked to fast for 12 hours.
The insulin sensitivity test is designed to measure how well your cells remove glucose from your blood in response to insulin.
During this test participants will have two small catheters (tubing) placed in their veins (I.V. lines).
The total amount of blood that will be drawn during this test will be 140 mL of blood (approximately 9.5 tablespoons).
Insulin is a natural hormone, and octreotide (a synthetic hormone) is a drug that temporarily blocks the secretion of insulin from your pancreas.
A member of the research team is present and monitoring the results along with the nursing staff.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Triglyceride/HDL-cholesterol ratio
Time Frame: 2 years
|
Investigate the relationship between insulin resistance, as described by triglyceride/HDL-cholesterol ratio, and incident PASC (long COVID).
|
2 years
|
|
Concentration of Viral RNA in Adipose Tissue
Time Frame: 2 years
|
Investigate the expression of viral RNA in adipose tissue in response to COVID-19 infection.
Compare adipose tissue transcripts such as known MODY transcription factors measured by PCR between COVID-19 infected participants and healthy controls.
|
2 years
|
|
Rate of Inflammatory Response
Time Frame: 2 years
|
Investigate inflammatory response to PPARgamma agonist (drug) and other compounds tested in vitro in human fat cells.
Compare plasma inflammatory cytokine levels in serum samples as measured by Luminex immunoassay between participants identified as Insulin Sensitive (IS) and Insulin Resistant (IR) using the 2-stage Steady State Plasma Glucose test.
|
2 years
|
|
Rate of Inflammatory Gene Expression in Adipose Tissue
Time Frame: 2 years
|
Investigate the expression of inflammatory genes in adipose tissue in response to COVID-19 infection.
Compare adipose tissue transcripts such as defensin chemokine receptors and platelet activation factors measured by PCR between COVID-19 infected participants and healthy controls.
|
2 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Tracey McLaughlin, MD, Stanford School of Medicine
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 6, 2023
Primary Completion (Estimated)
May 2, 2025
Study Completion (Estimated)
December 31, 2025
Study Registration Dates
First Submitted
April 26, 2023
First Submitted That Met QC Criteria
April 26, 2023
First Posted (Actual)
April 27, 2023
Study Record Updates
Last Update Posted (Estimated)
December 4, 2024
Last Update Submitted That Met QC Criteria
December 2, 2024
Last Verified
December 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 69063
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
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.
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