Evidence map›Paper›PMID 42031886›Full record

ArticleScientific reports2026

Prostaglandin E-major urinary metabolite as a potential biomarker of muscle inflammation following physical exercise, considering gender differences.

Isao Okayasu, Jiapeng Huang, Zenya Fujita, Amanda J Cox, Katsuhiko Suzuki

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Isao OkayasuKitasato University, Kitasato 1-15-1, Minami-ku, Sagamihara, Kanagawa, Japan. isaokaya@kitasato-u.ac.jp.
Jiapeng HuangFaculty of Sport Sciences, Waseda University, Mikajima, Tokorozawa, Saitama, Japan.
Zenya FujitaFaculty of Sport Sciences, Waseda University, Mikajima, Tokorozawa, Saitama, Japan.
Amanda J CoxSchool of Pharmacy and Medical Sciences, and Institute for Biomedicine and Glycomics, Griffith University, Southport, QLD, Australia.
Katsuhiko SuzukiFaculty of Sport Sciences, Waseda University, Mikajima, Tokorozawa, Saitama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostaglandin E-major urinary metabolite (PGE-MUM) may be a useful biomarker for assessing muscle inflammation caused by physical exercise. To explore this, both male and female volunteer university students (n = 18) performed gradual loading treadmill tests. Peripheral blood and urine samples were obtained before (T1) and immediately after physical exercise (T2), and 2 h later (T3) for measurement of PGE-MUM. PGE-MUM∙Cr (corrected by urinary creatinine) showed a significant stepwise increase from T1 to T3 in females (p = 0.0171) and the same tendency without significance was observed in males (p = 0.1533). Serum myoglobin showed the same trend, increasing from T1 to T3 in both males and females (p = 0.1690, 0.0443 respectively); Of note, females had a significant correlation between myoglobin and PGE-MUM∙Cr, (p = 0.0456), suggesting the involvement of muscle damage, but not between PGE-MUM∙Cr and peripheral leukocytosis after physical exercise. PGE-MUM∙Cr had no independent association with serum myoglobin after accounting for total muscle weight and maximal oxygen uptake/BW(VO

Indexed as

ExerciseInflammationMuscle, SkeletalMyositisProstaglandins EAdultBiomarkersCreatinineFemaleHumansMaleMyoglobinSex CharacteristicsSex FactorsYoung AdultBiomarkersCreatinineMyoglobinProstaglandins EBiomarkerGender differenceInflammationMuscle damagePhysical exerciseProstaglandin E-major urinary metabolite

Identifiers

PMID42031886
PMCPMC13294375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.