Impact of Weight Loss on Mitochondrial Function

NCT07023133 | Not Yet Recruiting

• 1 other identifier: 2340
• Study Type: observational
• Target: 15
• Locations: 0 countries
• Sites: N/A

Brief Summary

Loss of body weight can elicit an adaptive decline in energy expenditure during rest and physical activity beyond what is expected based on the loss of metabolically active tissue, a phenomenon termed metabolic adaptation. The weight loss-induced decrease in energy expenditure (i.e., altered energy efficiency) can hinder continued weight loss and contributes to variation in weight loss success. The molecular mechanisms responsible for metabolic adaption include changes to sympathetic nervous system activity, decreases in leptin and thyroid hormones, and increases in skeletal muscle mitochondrial efficiency and capacity, though the dominant mechanism for metabolic adaptation is unclear. We have recently shown, using near-infrared spectroscopy (NIRS) technology, that we can non-invasively assess skeletal muscle mitochondrial efficiency (i.e., oxygen consumption rate) and capacity. The purpose of this study is to evaluate the association between skeletal muscle mitochondrial efficiency and capacity after weight loss with metabolic adaption and weight loss variability. To accomplish this aim, we will recruit individuals with obesity who have elected for bariatric surgery at local bariatric centers. We will assess their energy expenditure and mitochondrial efficiency and capacity before and after weight loss.

Conditions

Weight Loss; Bariatric Surgery

Keywords

weight loss; bariatric surgery

Outcome Measures

Primary Outcomes (2)

• Weight loss

  The degree of weight loss after bariatric surgery

  4 months

• Mitochondrial function

  Degree of change in mitochondrial function as a result of weight loss

  4 months

Study Arms (1)

study cohort group

The study cohort will be made up of individuals that have self selected for bariatric surgery.

Behavioral: Weight loss

Interventions

Weight loss BEHAVIORAL

All participants will have self selected for bariatric surgery and their weight loss and mitochondrial function will be measured in this study.

study cohort group

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Individuals with obesity that have self elected for bariatric surgery

You may qualify if:

• obesity (BMI\>30 kg/m2); self elected for bariatric surgery

You may not qualify if:

• body mass \> 350 pounds; presence of type 2 diabetes, thyroid disease, coronary heart disease, congenital heart disease, peripheral arterial disease; having a pacemaker; the use of a walking aid; the presence of an injury that would modify normal gait; and women who are currently pregnant or trying to become pregnant

Sponsors & Collaborators

• Towson University: lead
• Johns Hopkins University: collaborator

MeSH Terms

Conditions

Weight Loss

Condition Hierarchy (Ancestors)

Body Weight Changes; Body Weight; Signs and Symptoms; Pathological Conditions, Signs and Symptoms

Central Study Contacts

Nicolas D Knuth, Doctor of Philosophy

CONTACT

410-704-6247; nknuth@towson.edu

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Study Record Dates

• First Submitted: June 8, 2025
• First Posted: June 15, 2025
• Study Start: July 28, 2025
• Primary Completion (Estimated): December 31, 2026
• Study Completion (Estimated): December 31, 2026
• Last Updated: June 15, 2025

Record last verified: 2025-06

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL
• Time Frame: Beginning 1 year after publication with no end date.
• Access Criteria: Access to study IPD can be requested by qualified researchers engaging in independent scientific research, and will be provided following review and approval of a research proposal and Statistical Analysis Plan (SAP) and execution of a Data Sharing Agreement (DSA). Please contact corresponding author for more information or to submit a request.