Using metabolite profiling to construct and validate a metabolite risk score for predicting future weight gain
| العنوان: | Using metabolite profiling to construct and validate a metabolite risk score for predicting future weight gain |
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| المؤلفون: | Maria E. Gonzalez, Clicerio Gonzalez, Yu Han H. Hsu, Martin Ridderstråle, Christina M Astley, Josep M. Mercader, Joel N. Hirschhorn, Rany M. Salem, Nina Geidenstam |
| المساهمون: | Clugston, Robin D |
| المصدر: | PLoS ONE PloS one, vol 14, iss 9 PLoS ONE, Vol 14, Iss 9, p e0222445 (2019) |
| بيانات النشر: | Public Library of Science, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | 0301 basic medicine, Oncology, Male, Aging, Physiology, Metabolite, Weight Gain, Biochemistry, Body Mass Index, chemistry.chemical_compound, 0302 clinical medicine, Framingham Heart Study, Endocrinology, Metabolites, Medicine and Health Sciences, Medicine, Insulin, 030212 general & internal medicine, Longitudinal Studies, 2. Zero hunger, Multidisciplinary, Framingham Risk Score, Anthropometry, Diabetes, Genomics, Middle Aged, 3. Good health, Physiological Parameters, Metabolome, Female, medicine.symptom, Anatomy, Research Article, medicine.medical_specialty, General Science & Technology, Science, Risk Assessment, 03 medical and health sciences, Internal medicine, Genome-Wide Association Studies, Genetics, Humans, Genetic Predisposition to Disease, Obesity, Exercise, Metabolic and endocrine, Glycemic, Nutrition, Diabetic Endocrinology, business.industry, Prevention, Body Weight, Biology and Life Sciences, Computational Biology, Human Genetics, Stepwise regression, Genome Analysis, Hormones, Diet, 030104 developmental biology, Metabolism, chemistry, Genetic Loci, business, Body mass index, Weight gain, Genome-Wide Association Study |
| الوصف: | BACKGROUND:Excess weight gain throughout adulthood can lead to adverse clinical outcomes and are influenced by complex factors that are difficult to measure in free-living individuals. Metabolite profiling offers an opportunity to systematically discover new predictors for weight gain that are relatively easy to measure compared to traditional approaches. METHODS AND RESULTS:Using baseline metabolite profiling data of middle-aged individuals from the Framingham Heart Study (FHS; n = 1,508), we identified 42 metabolites associated (p < 0.05) 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 year (i.e. ~0.09 kg/year 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 negatively 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. CONCLUSIONS: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 biological 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. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1932-6203 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5159cd3434f1e0f03048e521d749c1eTest http://europepmc.org/articles/PMC6764659Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....d5159cd3434f1e0f03048e521d749c1e |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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