Geidenstam, Nina published the artcileUsing metabolite profiling to construct and validate a metabolite risk score for predicting future weight gain, Name: (S)-2-hydroxysuccinic acid, the main research area is obesity body weight gain metabolite profiling risk score.
Using baseline metabolite profiling data of middle-aged individuals from the Framingham Heart Study, we identified 42 metabolites associated with longitudinal change in body mass index (BMI). We performed stepwise linear regression to select 8 of these metabolites to build a metabolite risk score (MRS) for predicting future weight gain. We replicated the MRS using data from the Mexico City Diabetes Study (MCDS; n = 768), in which one standard deviation increase in the MRS corresponded to 0.03 increase in BMI (kg/m2) per yr (i.e. 0.09 kg/yr for a 1.7 m adult). We observed that none of the available anthropometric, lifestyle, and glycemic variables fully account for the MRS prediction of weight gain. Surprisingly, we found the MRS to be strongly correlated with baseline insulin sensitivity in both cohorts and to be neg. predictive of T2D in MCDS. Genome-wide association study of the MRS identified 2 genome-wide (p < 5 × 10-8) and 5 suggestively (p < 1 × 10-6) significant loci, several of which have been previously linked to obesity-related phenotypes. We have constructed and validated a generalizable MRS for future weight gain that is an independent predictor distinct from several other known risk factors. The MRS captures a composite biol. picture of weight gain, perhaps hinting at the anabolic effects of preserved insulin sensitivity. Future investigation is required to assess the relationships between MRS-predicted weight gain and other obesity-related diseases. PLoS One published new progress about Aging, animal. 97-67-6 belongs to class alcohols-buliding-blocks, name is (S)-2-hydroxysuccinic acid, and the molecular formula is C4H6O5, Name: (S)-2-hydroxysuccinic acid.
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