Evidence map›Paper›PMID 32467351›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Metabolic Syndrome, Physical Activity, and Inflammation: A Cross-Sectional Analysis of 110 Circulating Biomarkers in Japanese Adults.

Sarah C Van Alsten, Charles S Rabkin, Norie Sawada, Taichi Shimazu, Hadrien Charvat, Taiki Yamaji, Manami Inoue, Troy J Kemp, Ligia A Pinto, M Constanza Camargo and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. White Blood Cell Count, Neutrophil-to-Lymphocyte Ratio, and Incident Cancer in the UK Biobank.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  4. Physical activity in metabolic syndrome.Frontiers in physiology · 2024
    Review
  5. Article
  6. Article
  7. Article
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

12 authors at 4 institutions in 1 country.

Sarah C Van AlstenWashington University, St. Louis, Missouri.ORCID 0000-0003-2131-6939
Charles S RabkinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Norie SawadaEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID 0000-0002-9936-1476
Taichi ShimazuEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID 0000-0001-6000-9830
Hadrien CharvatEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Taiki YamajiEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Manami InoueEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID 0000-0003-1276-2398
Troy J KempHPV Immunology Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Ligia A PintoHPV Immunology Laboratory, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, Maryland.
M Constanza CamargoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Shoichiro TsuganeEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Minkyo SongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. minkyo.song@nih.gov.ORCID 0000-0002-9412-2871
Prevention Group · USNational Cancer Institute · USLeidos (United States) · USWashington University in St. Louis · US

Funding

Molecular mechanisms of infection-related cancerZIACP010212 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2010 to 2025
$4.6M
Intramural NIH HHS ZIA CP010212
6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a systemic inflammatory state. Low physical activity (PA) could modify this patho-physiology or act as an independent contributor to inflammation. Previous studies of both conditions have identified altered levels of inflammation- and immune-related proteins based on limited sets of candidate markers.

methodsWe investigated associations of MetS and low PA with circulating inflammation markers in a stratified random sample of Japanese adults (

resultsMetS was significantly associated with levels of six markers: IL18R1 [odds ratio 2.37; 95% confidence interval (CI), 1.45-3.87], CRP (2.07; 95% CI, 1.48-2.90), SAP (2.08; 95% CI, 1.47-2.95), CCL19/MIP3β (2.06; 95% CI, 1.48-2.88), CXCL12/SDF1α+β (0.48; 95% CI, 0.32-0.65), and CCL28 (0.44; 95% CI, 0.27-0.71). Low PA had no significant marker associations.

conclusionsPositively associated markers with MetS are mostly Th1 immune response-related and acute phase proteins, whereas negatively associated markers are generally Th2-related. IMPACT: MetS is associated with a broad range of alterations in immune and inflammatory biomarkers that may contribute to risks of various chronic diseases, independent of low PA.

Indexed as

BiomarkersCross-Sectional StudiesExerciseFemaleHumansInflammationJapanMaleMetabolic SyndromeMiddle AgedBiomarkers

Identifiers

PMID32467351
PMCPMC7528457
OpenAlexW3031697971

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.