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author:

Wu, B. (Wu, B..) [1] | Huang, J. (Huang, J..) [2] | Zhang, L. (Zhang, L..) [3] | Kasukurthi, M.V. (Kasukurthi, M.V..) [4] | Huang, F. (Huang, F..) [5] | Bian, J. (Bian, J..) [6] | Fukuo, K. (Fukuo, K..) [7] | Kazumi, T. (Kazumi, T..) [8]

Indexed by:

Scopus

Abstract:

Prior research has indicated that as an important biomarker of chronic low-grade inflammation, high-sensitivity C-reactive protein (hs-CRP) can play important roles on the onset of metabolic syndrome and cardiovascular diseases (CVD). We conducted an integrative approach, which combines biological wet-lab experiments, statistical analysis, and semantics-oriented bioinformatics & computational analysis, to investigate the association among hs-CRP, body fat mass (FM) distribution, and other cardiometabolic risk factors in young healthy women. 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. © 2018 Elsevier Inc.

Keyword:

Adipocytokines; Bio-ontology; C-reactive protein; Inflammation marker; microRNA; Semantic search

Community:

  • [ 1 ] [Wu, B.]Department of Endocrinology, First Affiliated Hospital of Kunming Medical University, China
  • [ 2 ] [Wu, B.]Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Womens University, Japan
  • [ 3 ] [Huang, J.]Computer Science Department, School of Computing, University of South Alabama, United States
  • [ 4 ] [Huang, J.]College of Math and Computer Science, Fuzhou University, China
  • [ 5 ] [Huang, J.]School of Information, Qilu University of Technology (Shandong Academy of Sciences), China
  • [ 6 ] [Zhang, L.]Department of Geriatric Endocrinology, First Affiliated Hospital of Kunming Medical University, China
  • [ 7 ] [Kasukurthi, M.V.]Computer Science Department, School of Computing, University of South Alabama, United States
  • [ 8 ] [Huang, F.]College of Math and Computer Science, Fuzhou University, China
  • [ 9 ] [Bian, J.]Department of Health Outcomes and Policy, University of Florida, United States
  • [ 10 ] [Fukuo, K.]Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Womens University, Japan
  • [ 11 ] [Fukuo, K.]Department of Food Sciences and Nutrition, School of Human Environmental Science, Mukogawa Womens University, Japan
  • [ 12 ] [Fukuo, K.]Research Institute for Nutrition Sciences, Mukogawa Womens University, Japan
  • [ 13 ] [Kazumi, T.]Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Womens University, Japan
  • [ 14 ] [Kazumi, T.]Department of Food Sciences and Nutrition, School of Human Environmental Science, Mukogawa Womens University, Japan
  • [ 15 ] [Kazumi, T.]Research Institute for Nutrition Sciences, Mukogawa Womens University, Japan

Reprint 's Address:

  • [Wu, B.]Department of Endocrinology, First Affiliated Hospital of Kunming Medical UniversityChina

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Source :

Methods

ISSN: 1046-2023

Year: 2018

Volume: 145

Page: 60-66

3 . 7 8 2

JCR@2018

4 . 2 0 0

JCR@2023

ESI HC Threshold:212

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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