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
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 (PAI1). Discovery 2: Chronic inflammation may involve in adipocyte-cytokine interaction underlying the metabolic derangement in healthy young women.
基金:
Open Research Center Project for Private University: Matching Fund Subsidy for Private Universities; Ministries of Education, Culture, Sports, Science, and Technology, Japan; National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China [81660141]; National Cancer Institute (NCI) of The National Institutes of Health (NIH)United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USANIH National Cancer Institute (NCI) [U01CA180982]
Wu Bin,Huang Jingshan,Kasukurthi Mohan Vamsi,et al.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[J].2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM).2017,463-468.
APA:
Wu, Bin,Huang, Jingshan,Kasukurthi, Mohan Vamsi,Huang, Fangwan,Bian, Jiang...&Kazumi, Tsutomu.(2017).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),,
MLA:
Wu, Bin,et al."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):463-468