Evidence map›Paper›PMID 28056786›Full record

ArticleBMC genomics2017

Immune adaptation to chronic intense exercise training: new microarray evidence.

Dongmei Liu, Ru Wang, Ana R Grant, Jinming Zhang, Paul M Gordon, Yuqin Wei, Peijie Chen

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Trial
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors at 4 institutions in 2 countries.

Dongmei LiuSchool of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China.
Ru WangSchool of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China.
Ana R GrantDepartment of Computational Medicine & Bioinformatics / Bioinformatics Core, University of Michigan Medical School, Ann Arbor, MI, USA.
Jinming ZhangCollege of sports medicine and rehabilitation, Taishan Medical University, Shandong Province, China.
Paul M GordonDepartment of Health, Human Performance and Recreation, Baylor University, Waco, TX, USA.
Yuqin WeiSchool of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China.
Peijie ChenSchool of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China. Chenpeijie@sus.edu.cn.
Shanghai University of Sport · CNBaylor University · USTaishan Medical University · CNUniversity of Michigan–Ann Arbor · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndurance exercise training, especially the high-intensity training, exhibits a strong influence on the immune system. However, the mechanisms underpinning the immune-regulatory effect of exercise remain unclear. Consequently, we chose to investigate the alterations in the transcriptional profile of blood leukocytes in young endurance athletes as compared with healthy sedentary controls, using Affymetrix human gene 1.1 ST array.

resultsGroup differences in the transcriptome were analyzed using Intensity-based Hierarchical Bayes method followed by a Logistic Regression-based gene set enrichment method. We identified 72 significant transcripts differentially expressed in the leukocyte transcriptome of young endurance athletes as compared with non-athlete controls with a false discovery rate (FDR) < 0.05, comprising mainly the genes encoding ribosomal proteins and the genes involved in mitochondrial oxidative phosphorylation. Gene set enrichment analysis identified three major gene set clusters: two were up-regulated in athletes including gene translation and ribosomal protein production, and mitochondria oxidative phosphorylation and biogenesis; one gene set cluster identified as transcriptionally downregulated in athletes was related to inflammation and immune activity.

conclusionOur data indicates that in young healthy individuals, intense endurance exercise training (exemplifed by athletic training) can chronically induce transcriptional changes in the peripheral blood leukocytes, upregulating genes related to protein production and mitochondrial energetics, and downregulating genes involved in inflammatory response. The findings of the study also provide support for the notion that peripheral blood can be used as a surrogate tissue to study the systemic effect of exercise training.

Indexed as

ExerciseImmunomodulationAdaptation, PhysiologicalAdolescentAthletesBiomarkersFemaleGene Expression ProfilingHumansImmunityImmunoglobulin IsotypesLeukocytesMaleMuscle, SkeletalTranscriptomeYoung AdultBiomarkersImmunoglobulin IsotypesAthletesHigh-intensity endurance trainingImmunityLeukocytesTranscriptome

Identifiers

PMID28056786
PMCPMC5216585
OpenAlexW2568904065

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.