Impact of Metabolic Flexibility on Changes in Metabolic Health (METPROS)

August 27, 2025 updated by: Rodrigo Fernandez-Verdejo, Pennington Biomedical Research Center

Metabolic flexibility is the capacity to adapt fuel oxidation to fuel availability so that ATP synthesis can match its cellular demands. Thus, for example, increases in glucose availability after a meal would increase glucose oxidation, while increases in lipid availability during fasting would increase lipid oxidation. Enhanced metabolic flexibility has been proposed to protect humans from metabolic diseases. Nevertheless, most studies examining associations between metabolic flexibility and metabolic health outcomes have used cross-sectional designs. Whether impaired metabolic flexibility causes or results from metabolic health impairment is thus unclear.

In this study, the investigators will use the data from a study conducted approximately 16 years ago in healthy participants without obesity. Using the data already collected in that study, the metabolic flexibility of each participant will be calculated. To test the association between metabolic flexibility and the change in metabolic health, the investigators will call back all the participants for a single follow-up visit to reassess several metabolic health outcomes. Thus, the main aim of the study is to test the association between metabolic flexibility and the change in metabolic health outcomes after 16 years in humans.

Study Overview

Detailed Description

Metabolic flexibility is the capacity to adapt fuel oxidation to fuel availability so that ATP synthesis can match its cellular demands. Thus, for example, increases in glucose availability after a meal would increase glucose oxidation, while increases in lipid availability during fasting would increase lipid oxidation. Enhanced metabolic flexibility has been proposed to protect humans from ectopic lipid accumulation and the subsequent development of insulin resistance and metabolic syndrome.

In humans, metabolic flexibility is assessed by measuring relative macronutrient oxidation (i.e., lipids and carbohydrates) in response to metabolic challenges that increase glucose or lipid availability. The respiratory exchange ratio (RER = CO2 production / O2 consumption) is used to determine relative macronutrient oxidation. The euglycemic-hyperinsulinemic clamp is a widely used challenge to assess metabolic flexibility as it increases glucose availability and thus relative glucose oxidation. Recently, other methods have been proposed to assess metabolic flexibility, including the relative lipid oxidation during an overnight fast or the difference between 24-hour RER and sleeping RER in non-exercise, energy balance conditions while staying in a metabolic chamber. The method most relevant for assessing the influence of metabolic flexibility and its effects on metabolic health outcomes is unknown.

The influence of metabolic flexibility on metabolic health outcomes remains uncertain. The lack of agreement across studies is explained by the variability in the metabolic challenges, differences in the analytical approach to compute metabolic flexibility, and the loose use of the metabolic flexibility concept in the context of many different phenomena. Moreover, most studies examining associations between metabolic flexibility and metabolic health outcomes have used cross-sectional designs. Whether impaired metabolic flexibility causes or results from metabolic health impairment is thus unclear. Longitudinal studies using well-controlled methods are required to determine the impact of metabolic flexibility on prospective metabolic health.

In this pilot and feasibility study, the investigators will use the data from a study conducted 16 years ago in 88 healthy participants without obesity (InSight study at Pennington Biomedical). The study included an euglycemic-hyperinsulinemic clamp, an overnight fasting assessment, a 24-hour stay in a metabolic chamber, and the measurement of metabolic health outcomes. Using the data already collected in the InSight study, the metabolic flexibility of each participant in the euglycemic-hyperinsulinemic clamp, the overnight fast, and the metabolic chamber will be calculated. To test the association between metabolic flexibility(ies) and the change in metabolic health outcomes, the investigators will call back all the participants for a single follow-up visit to reassess the metabolic health outcomes including body mass index, body composition, blood pressure, HOMA-IR, and the circulating concentrations of glucose, triglycerides, and cholesterol. Such data will shed light on the most informative method to assess metabolic flexibility in relationship to specific metabolic health outcomes. The investigators will use these preliminary data to design and power future projects to be submitted for funding to scientific federal agencies.

Our specific aims are to:

  1. Test the association between metabolic flexibility in response to a euglycemic-hyperinsulinemic clamp and the change in metabolic health outcomes after 16 years in humans.
  2. Test the association between metabolic flexibility in response to overnight fasting and the change in metabolic health outcomes after 16 years in humans.
  3. Test the association between metabolic flexibility in response to a 24-hour stay in a metabolic chamber and the change in metabolic health outcomes after 16 years in humans.

Study Type

Observational

Enrollment (Actual)

18

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Louisiana
      • Baton Rouge, Louisiana, United States, 70808
        • Pennington Biomedical Research Center

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

Sampling Method

Non-Probability Sample

Study Population

Individuals who participated in the InSight study at Pennington Biomedical in 2008-2009. Such study enrolled healthy men and women aged 20-36 years, with a body mass index <27.5 kg/m2, and a fasting glycemia <126 mg/dL.

Description

Inclusion Criteria:

  • Individuals who participated in the InSight study at Pennington Biomedical in 2008-2009.

Exclusion Criteria:

  • Women who are currently pregnant or breastfeeding, have been pregnant in the last 12 months, and/or were breastfeeding in the last 6 months.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Insight study cohort
The proposed study will include the individuals who participated in the baseline assessment of the InSight study at Pennington Biomedical in 2008-2009. These participants were not subjected to any intervention.
Measured at baseline during the InSight study (2008-2009). Calculated as the respiratory exchange ratio in the fasting state adjusted for the circulating concentrations of free fatty acids
Measured at baseline during the InSight study (2008-2009). Calculated as the change in respiratory exchange ratio adjusted for glucose disposal rate
Measured at baseline during the InSight study (2008-2009). Calculated as the difference between awake respiratory exchange ratio (from 8 a.m. to 11 p.m.) and sleeping respiratory exchange ratio during a 23-hour stay in the metabolic chamber

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Glucose
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Circulating concentration of glucose in mg/dL
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Total cholesterol
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Circulating concentration of cholesterol in mg/dL
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
HDL cholesterol
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Circulating concentration of HDL cholesterol in mg/dL
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
LDL cholesterol
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Circulating concentration of LDL cholesterol in mg/dL
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Triglycerides
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Circulating concentration of triglycerides in mg/dL
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
HOMA-IR
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Homeostatic Model of Assessment of Insulin Resistance computed from the circulating concentrations of glucose and insulin
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Blood pressure
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Including systolic, diastolic, and mean blood pressure in mmHg
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Waist circumference
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Measured in cm
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Body mass index
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Calculated from the ratio between the weight and height, and expressed in kg/m2
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Body fat percentage
Time Frame: At baseline (in 2008-2009) and after approximately 16 years (2024-2025)
Measured by DXA and expressed as percentage of body weight
At baseline (in 2008-2009) and after approximately 16 years (2024-2025)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Leanne Redman, PhD, Pennington Biomedical Research Center
  • Principal Investigator: Rodrigo Fernandez-Verdejo, PhD, Pennington Biomedical Research Center
  • Principal Investigator: Eric Ravussin, PhD, Pennington Biomedical Research Center

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)

October 9, 2024

Primary Completion (Actual)

August 25, 2025

Study Completion (Actual)

August 27, 2025

Study Registration Dates

First Submitted

March 25, 2024

First Submitted That Met QC Criteria

March 25, 2024

First Posted (Actual)

April 1, 2024

Study Record Updates

Last Update Posted (Estimated)

September 4, 2025

Last Update Submitted That Met QC Criteria

August 27, 2025

Last Verified

August 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The de-identified data collected will be shared upon appropriate request as part of the NORC repository of Pennington Biomedical Research Center

IPD Sharing Time Frame

After publication of the results for the main outcome

IPD Sharing Access Criteria

Upon appropriate request

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • ICF

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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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