ClinicalTrials.Veeva

Menu

Very Low Calorie Diet Weight Loss

Texas A&M University logo

Texas A&M University

Status

Completed

Conditions

Obesity
Very Low Calorie Diet

Treatments

Other: Stable isotope amino acid infusion

Study type

Interventional

Funder types

Other

Identifiers

NCT02780206
IRB2016-0304

Details and patient eligibility

About

Understanding how foods and nutrients are digested, absorbed and metabolized when weight is stable and during weight loss induced by very low calorie diet procedure using the technologies of genomics, transcriptomics, proteomics, metabolomics and fluxomics ("omics") will enable generation of new hypotheses that could explain the inter-individual differences in weight loss and could lead to optimization and individualization of therapies designed to lose weight.

Full description

The overarching hypothesis is that there are baseline, pre- and post-diet combinations of 'omics' signatures in response to food and nutrients that explain the weight loss response of obese subjects to the very low calorie (VLC) diet.

In order to address the general hypothesis the following specific aims will be addressed:

Specific Aim 1: To test the hypothesis that there is a combination of 'omics' parameters in response to a defined meal that discriminate between morbidly obese subjects.

Specific Aim 2: To test the hypothesis that variation in % weight loss to the 2-weeks of VLC diet is related to baseline genomic markers, gene expression profile, proteomic and metabolomic signatures as well as baseline metabolic and substrates fluxomics response to a defined meal.

Specific Aim 3: To test the hypothesis that variation in % weight loss to the 4-weeks of VLC diet is related to baseline genomic markers, gene expression profile, proteomic and metabolomic signatures as well as baseline metabolic and substrates fluxomics response to a defined meal.

Enrollment

56 patients

Sex

All

Ages

30+ years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion criteria obese subjects:

Diagnosed with morbid obesity (defined as BMI > 40 kg/m2 or BMI > 35 kg/m2 with at least one serious comorbidity (2013 NIH compendium guidelines)) Scheduled for medically supervised Very Low Calorie Diet Age 30 years and older Ability to lay in supine or elevated position for 5 hours Willingness and ability to comply with the protocol Exclusion Criteria Any condition that may interfere with the definition 'healthy subject' according to the investigator's judgment (for healthy control group only) Participation in Weight Loss Management Program within the last 6 months prior the first study day Presence of fever within the last 3 days Untreated metabolic diseases including hepatic or renal disorder unrelated to the primary disease Presence of acute illness or metabolically unstable chronic illness unrelated to the primary disease

· (Possible) pregnancy Any other condition according to the PI or nurse that would interfere with the study or safety of the patient Failure to give informed consent Use of protein or amino acid containing nutritional supplements within 3 days of first test day

Trial design

Primary purpose

Supportive Care

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

56 participants in 1 patient group

obese
Experimental group
Description:
screening visit: body weight and composition by DXA, height, and vital signs will be assessed. Subjects may sign a medical release form to obtain medical and psychological information about them that will help determine study eligibility or can be used for later coding. 3 study days (one baseline, one approx 2 weeks of diet, one post-diet): muscle mass and function tests, resting energy expenditure, stable isotope infusions with blood draws, and questionnaires regarding quality of life, mood and depression, diet.
Treatment:
Other: Stable isotope amino acid infusion

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems