HVN TOFI_FU Metadata Record - Characterising the Pre-diabetic Asian and Caucasian Phenotype: The 'TOFI' Profile - 3-year Follow-up
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Description: Background: People of Asian descent are at much higher risk of poor metabolic health and diabetes at a younger age and a lower body weight than those of European Caucasian descent. The reason why some individuals are more susceptible than others and what controls their diabetes risk may lie in the storage of body fat and may be identified through early changes in serum metabolite profile. Gaining even small amounts of body weight can lead to the fat ‘spilling over’ from adipose tissue and into important organs such as the muscle, liver and pancreas, which in turn may significantly increase risk of disease. Often known as the TOFI profile – ‘Thin on the Outside, Fat on the Inside’ – people who appear ostensibly slim and/or mildly overweight can develop diabetes whilst those who are very overweight and/or obese may not. Few predictive biomarkers of early diabetes risk and propensity to susceptibility or resilience have yet been determined.
Objective: To investigate diabetic risk profile, susceptibility and resilience to weight gain and increasing adiposity in a population of Asian Chinese and Caucasian adults using body composition and metabolomic techniques; and, to conduct 3-year follow-up to determine whether these markers may predict who worsens towards and/or develops frank diabetes.
Design: This is a longitudinal follow-up study of 357 participants, aged 18-70 years, of Asian Chinese and Caucasian European ethnicity who enrolled in the TOFI_Asia study in 2016/17. At baseline and 3-year follow-up, fasting blood samples will be collected to assess diabetic profile based on fasting plasma glucose, and also for untargeted metabolomics profiling; whole body and segmental fat free mass and adipose tissue fat mass will be measured on a single occasion using DEXA scanning; and in a subset of 70 individuals ectopic lipid storage in key organs including liver, pancreas and muscle will be re-measured using MRI/S.