Evidence map›Paper›PMID 28278265›Full record

ArticlePloS one2017

Visceral fat area is a strong predictor of leukocyte cell-derived chemotaxin 2, a potential biomarker of dyslipidemia.

Kumpei Tanisawa, Hirokazu Taniguchi, Xiaomin Sun, Tomoko Ito, Ryoko Kawakami, Shizuo Sakamoto, Mitsuru Higuchi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The role of hepatokines in NAFLD.Cell metabolism · 2023
    Review
  9. Article
  10. LECT2: A pleiotropic and promising hepatokine, from bench to bedside.Journal of cellular and molecular medicine · 2022
    Review
  11. Article
  12. Observational
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

7 authors at 3 institutions in 2 countries.

Kumpei TanisawaDepartment of Health Promotion and Exercise, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
Hirokazu TaniguchiFaculty of Agriculture, Ryukoku University, Shiga, Japan.
Xiaomin SunSchool of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Tomoko ItoGraduate School of Sport Sciences, Waseda University. Tokorozawa, Japan.
Ryoko KawakamiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Shizuo SakamotoFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Mitsuru HiguchiFaculty of Sport Sciences, Waseda University, Tokorozawa, Japan.
Waseda University · JPRyukoku University · JPXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeukocyte cell-derived chemotaxin 2 (LECT2) is a hepatokine linking obesity to skeletal muscle insulin resistance. Although previous studies reported that obesity was associated with high levels of circulating LECT2 in human, the associations of detailed body fat distribution with LECT2 levels have not been examined. Furthermore, although animal study suggested that exercise decreased circulating LECT2 levels, it remains unknown whether physical fitness is associated with LECT2 levels in human. We therefore examined the relationship of plasma LECT2 levels with various adiposity indices and cardiorespiratory fitness (CRF) in middle-aged and elderly Japanese men. Furthermore, we examined the relationship of LECT2 levels with the presence of metabolic syndrome, hypertension, insulin resistance and dyslipidemia to determine the clinical significance of measuring circulating LECT2. MATERIALS AND

methodsThis was a cross-sectional study of 143 Japanese men (age: 30-79 years). Participants' plasma LECT2 levels were measured by an enzyme-linked immunosorbent assay. To assess their abdominal fat distributions, visceral fat area (VFA) and subcutaneous fat area (SFA) were measured using magnetic resonance imaging. CRF was assessed by measuring peak oxygen uptake ([Formula: see text]).

resultsAll adiposity indices measured in this study were positively correlated with plasma LECT2 levels, while [Formula: see text] was negatively correlated with LECT2 levels after adjustment for age. The correlations, except for VFA were no longer significant with further adjustment for VFA. Stepwise multiple linear regression analysis revealed that VFA was the strongest predictor of plasma LECT2 levels. Plasma LECT2 levels differed based on the presence of metabolic syndrome and dyslipidemia, but not hypertension and insulin resistance. Logistic regression analyses revealed that plasma LECT2 levels were significantly associated with dyslipidemia independently of VFA; VFA was not significantly associated with dyslipidemia after adjustment for LECT2.

conclusionVFA was the strongest predictor of plasma LECT2 that is a potential biomarker linking visceral obesity to dyslipidemia.

Indexed as

AdultAgedBiomarkersCross-Sectional StudiesDyslipidemiasHumansHypertensionInsulin ResistanceIntercellular Signaling Peptides and ProteinsIntra-Abdominal FatMaleMetabolic SyndromeMiddle AgedBiomarkersIntercellular Signaling Peptides and ProteinsLECT2 protein, human

Identifiers

PMID28278265
PMCPMC5344404
OpenAlexW2593679663

What OpenQuestion holds

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LicenceCC BY
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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.