Healthy Clinical Trial
Official title:
Developmental Pathways to Metabolic Diseases: To Investigate the Metabolic Effects of Birth Weight on Overweight and Obese Chinese Adults and Their Responses to Weight Loss Over 16 Weeks
The overall objective of this study is to investigate in depth the impact of birth weight on the nature of metabolic physiology, body composition and epigenetic differences of the different phenotypes of overweight and obese individuals who are otherwise overtly healthy. We also aim to determine the efficacy of a weight loss intervention on the above mentioned metabolic parameters in these individuals.
There is an exponential rise in the prevalence of type 2 diabetes and obesity in Singapore
coincident with rapid nutritional and socioeconomic transition. Differing birth weights,
even in the normal ranges, predisposes individuals to the risk of type 2 diabetes and
obesity. We aim to examine the causal pathways, developmental contribution and effects of a
weight loss intervention to this differential by evaluating the hypothesis that genomic,
birth weight, developmental, lifestyle and environmental factors contribute to the variation
in phenotype observed in adults with obesity and metabolic syndrome.
Although there are many large studies that examined the effect of birth weight on the
expression of obesity and the metabolic syndrome phenotype, most of these studies usually
lack in-depth physiological and epigenetic/genomic studies due to their large sample sizes.
We therefore aim to explore such detailed aspects of physiological and epigenetic/genomic
profiles on smaller but statistically powered samples, focusing on evaluating body
composition, nutritional and metabolic phenotype in relationship to epigenetic/genetic
markers and developmental history. In addition, we examine the effects of a weight loss
intervention on these parameters. This will assist in weighing the importance of
developmental and genetic pathways in contributing to individual risk and the response and
efficacy to an intervention.
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Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Open Label
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