Evidence map›Paper›PMID 29702223›Full record

ArticleMethods (San Diego, Calif.)2018

An integrative approach to investigate the association among high-sensitive C-reactive protein, body fat mass distribution, and other cardiometabolic risk factors in young healthy women.

Bin Wu, Jingshan Huang, Lihua Zhang, Mohan Vamsi Kasukurthi, Fangwan Huang, Jiang Bian, Keisuke Fukuo, Tsutomu Kazumi

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Bin WuDepartment of Endocrinology, First Affiliated Hospital of Kunming Medical University, PR China; Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Womens University, Japan. Electronic address: wu.bin.kmu@qq.com.
Jingshan HuangComputer Science Department, School of Computing, University of South Alabama, USA; College of Math and Computer Science, Fuzhou University, PR China; School of Information, Qilu University of Technology (Shandong Academy of Sciences), PR China.
Lihua ZhangDepartment of Geriatric Endocrinology, First Affiliated Hospital of Kunming Medical University, PR China.
Mohan Vamsi KasukurthiComputer Science Department, School of Computing, University of South Alabama, USA.
Fangwan HuangCollege of Math and Computer Science, Fuzhou University, PR China.
Jiang BianDepartment of Health Outcomes and Policy, University of Florida, USA.
Keisuke FukuoOpen Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Womens University, Japan; Department of Food Sciences and Nutrition, School of Human Environmental Science, Mukogawa Womens University, Japan; Research Institute for Nutrition Sciences, Mukogawa Womens University, Japan.
Tsutomu KazumiOpen Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Womens University, Japan; Department of Food Sciences and Nutrition, School of Human Environmental Science, Mukogawa Womens University, Japan; Research Institute for Nutrition Sciences, Mukogawa Womens University, Japan.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
OmniSearch: A semantic search tool for discovering microRNAs' critical roles in hU01CA180982 · NCI · UNIVERSITY OF SOUTH ALABAMA · PI HUANG, JINGSHAN · 2014 to 2016
$913k
NCI NIH HHS U01 CA180982
6 · The paper itself

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.

Indexed as

Body Fat DistributionComputational BiologyAdolescentCardiovascular DiseasesCholesterol, HDLC-Reactive ProteinFemaleHumansLeptinModels, BiologicalPlasminogen Activator Inhibitor 1Risk FactorsYoung AdultCholesterol, HDLC-Reactive ProteinLeptinPlasminogen Activator Inhibitor 1AdipocytokinesBio-ontologyC-reactive proteinInflammation markermicroRNASemantic search

Identifiers

PMID29702223
PMCPMC6064666

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.