The "Metabolically-obese Normal-weight" Phenotype and Its Reversal by Calorie Restriction
1 other identifier
interventional
77
0 countries
N/A
Brief Summary
The prevalence of overweight and obesity in Singapore is approximately half of that in the United States, yet the incidence of type 2 diabetes is similar, and is expected to double in the near future. This indicates that metabolic dysfunction, particularly insulin resistance, is widely prevalent even among individuals who are considered normal-weight or lean by conventional measures, i.e. body mass index (BMI) and percent body fat. These individuals are often referred to as "metabolically-obese normal-weight" (MONW), and have increased risk for cardiometabolic disease despite their normal BMI and total body fat values. The prevalence of the MONW phenotype varies across populations and differs markedly among different ethnicities. However, our understanding of the complex interactions between ethnicity, body composition, and metabolic dysfunction and its reversal remains rudimentary. Previous attempts to characterize the MONW phenotype are confounded by the small but significant differences in BMI or percent body fat between groups (even if all subjects were lean, within the "normal" range), with MONW subjects being always "fatter" than the corresponding control subjects. There are no published studies that prospectively recruited groups of metabolically healthy and unhealthy lean individuals matched on BMI and percent body fat. Furthermore, although weight loss improves body composition and many of the cardiometabolic abnormalities in most obese patients, little is known about the possible therapeutic effects of calorie restriction in MONW subjects. Accordingly, a better understanding of the MONW phenotype and the evaluation of therapeutic approaches for its reversal will have important implications for public health. By facilitating earlier identification of these subjects, who are more likely to go undiagnosed and thus less likely to be treated before clinically overt cardiometabolic disease develops, results from this study will allow for earlier and effective intervention.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2016
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 29, 2016
CompletedFirst Submitted
Initial submission to the registry
August 3, 2017
CompletedFirst Posted
Study publicly available on registry
August 4, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 7, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
October 7, 2017
CompletedMarch 13, 2018
March 1, 2018
1.5 years
August 3, 2017
March 10, 2018
Conditions
Outcome Measures
Primary Outcomes (1)
Whole-body insulin sensitivity
Our primary endpoint is whole-body insulin sensitivity (i.e. the major metabolic correlate of the MONW phenotype), determined by using the hyperinsulinemic-euglycemic clamp.
3 hours
Study Arms (1)
Metabolically unhealthy
EXPERIMENTALSubjects classified as metabolically unhealthy (MONW) go on to participate in a calorie restriction intervention. MONW subjects will participate in a supervised weight loss program to help ensure they are under a similar weekly energy deficit and achieve a 5 % weight loss at approximately the same time. Participants will be prescribed a reduced-calorie diet (\~500 kcal/d below their needs for weight maintenance), and will be instructed not to change their physical activity habits, in order to achieve a weekly weight loss of \~0.5 kg. The macronutrient composition of the diet will be the same for all groups (55-60 % of energy from carbohydrate, 15-20 % from protein, and 20-30 % from fat); no vitamins or other nutritional supplements will be given.
Interventions
Calorie restriction with behavioral modification and provision of one catered, reduced calorie meal a day
Eligibility Criteria
You may qualify if:
- Healthy male or female
- Chinese or Indian descent
- Between 21-65 years old (inclusive)
- BMI from \>=19 to \<25 kg/m2
You may not qualify if:
- BMI ≥25 kg/m2
- BMI \<19 kg/m2 (to avoid the risk of subjects becoming seriously underweight (i.e. BMI ≤18 kg/m2) after 5 % weight loss)
- Age \<21 and \>65 yrs
- Use of medications that can affect metabolic function (including oral contraceptives and hormone replacement therapy)
- Regular use of tobacco products
- Regular consumption of alcohol
- Pregnant or breastfeeding women
- Evidence of significant organ system dysfunction or disease
- Recent weight loss (≥5 % over the past 6 months)
- Severe asthma and respiratory problems that prevent subjects from exercising
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Related Publications (54)
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PMID: 30252100DERIVEDChooi YC, Ding C, Chan Z, Choo J, Sadananthan SA, Michael N, Lee Y, Velan SS, Magkos F. Moderate Weight Loss Improves Body Composition and Metabolic Function in Metabolically Unhealthy Lean Subjects. Obesity (Silver Spring). 2018 Jun;26(6):1000-1007. doi: 10.1002/oby.22185. Epub 2018 Apr 19.
PMID: 29676049DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Faidon Magkos, PhD
Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER GOV
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
August 3, 2017
First Posted
August 4, 2017
Study Start
March 29, 2016
Primary Completion
October 7, 2017
Study Completion
October 7, 2017
Last Updated
March 13, 2018
Record last verified: 2018-03
Data Sharing
- IPD Sharing
- Will not share