Combine biological experiments, statistical analysis, and semantic search to discover association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2017)

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摘要
High-sensitivity C-reactive protein (hs-CRP) performs important roles on the onset of metabolic syndrome and cardiovascular diseases (CVD), but little is known about association between hs-CRP and obesity-related metabolic abnormalities in young people without classical CVD risk factors. It thus motivated us to investigate association among hs-CRP, body fat mass (FM) distribution, and other cardiometabolic risk factors in young healthy women. Our approach is based on biological experiments, statistical analysis, and semantic search. Research outcomes in this study resulted in two novel discoveries. Discovery 1: There are four primary determinants for hs-CRP, i.e., central/abdominal FM (a.k.a. trunk FM) accumulation, leptin, high density lipoprotein cholesterol (HDL-C), and plasminogen activator inhibitior-1 (PAI-1). Discovery 2: Chronic inflammation may involve in adipocyte-cytokine interaction underlying the metabolic derangement in healthy young women.
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关键词
C-reactive protein (CRP),adipocytokines,inflammation marker,cardio-ankle vascular index,carotid artery intima-media thickness,microRNA (miRNA,miR),semantic search
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