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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

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author:

Wu, B. (Wu, B..) [1] | Huang, J. (Huang, J..) [2] | Kasukurthi, M.V. (Kasukurthi, M.V..) [3] | Unfold

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Scopus

Abstract:

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. © 2017 IEEE.

Keyword:

adipocytokines; C-reactive protein (CRP); cardio-ankle vascular index; carotid artery intima-media thickness; inflammation marker; microRNA (miRNA; miR); semantic search

Community:

  • [ 1 ] [Wu, B.]Kunming Medical University, Kunming Yunnan, 650032, China
  • [ 2 ] [Wu, B.]Mukogawa Women's University, 6-46, Ikebiraki-cho, Nishinomiya, Hyogo, 663-8558, Japan
  • [ 3 ] [Huang, J.]Computer Science Department, School of Computing, University of South Alabama, Mobile, AL 36688, United States
  • [ 4 ] [Kasukurthi, M.V.]Computer Science Department, School of Computing, University of South Alabama, Mobile, AL 36688, United States
  • [ 5 ] [Huang, F.]College of Math and CS, Fuzhou University, Fuzhou, Fujian, 350116, China
  • [ 6 ] [Bian, J.]Dept. of Health Outcomes and Policy, University of Florida, Gainesville, FL 32610, United States
  • [ 7 ] [Fukuo, K.]Mukogawa Women's University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo, 663-8558, Japan
  • [ 8 ] [Suzuki, K.]Mukogawa Women's University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo, 663-8558, Japan
  • [ 9 ] [Yoshino, G.]Toho Univ. Omori Medical Center, Omori-Ku Omori-nishi 6-11-1, Tokyo, 143-8541, Japan
  • [ 10 ] [Kazumi, T.]Mukogawa Women's University, 6-46 Ikebiraki-cho, Nishinomiya, Hyogo, 663-8558, Japan

Reprint 's Address:

  • [Wu, B.]Kunming Medical UniversityChina

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Source :

Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

Year: 2017

Volume: 2017-January

Page: 463-468

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

30 Days PV: 2

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