Evidence map›Paper›PMID 30383773›Full record

ArticlePloS one2018

The proteomic and metabolomic characterization of exercise-induced sweat for human performance monitoring: A pilot investigation.

Sean W Harshman, Rhonda L Pitsch, Zachary K Smith, Maegan L O'Connor, Brian A Geier, Anthony V Qualley, Nicole M Schaeublin, Molly V Fischer, Jason J Eckerle, Adam J Strang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Metabolomics in Exercise and Sports: A Systematic Review.Sports medicine (Auckland, N.Z.) · 2022
    Pooled it
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  18. Molecular Portrait of an Athlete.Diagnostics (Basel, Switzerland) · 2021
    Review
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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

11 authors at 2 institutions in 1 country.

Sean W HarshmanUES Inc., Air Force Research Laboratory, Wright- Patterson Air Force Base, Ohio, United States of America.ORCID 0000-0001-5517-3847
Rhonda L PitschThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.ORCID 0000-0002-9218-274X
Zachary K SmithUES Inc., Air Force Research Laboratory, Wright- Patterson Air Force Base, Ohio, United States of America.
Maegan L O'ConnorOak Ridge Institute of Science & Education, Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.
Brian A GeierAir Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.
Anthony V QualleyUES Inc., Air Force Research Laboratory, Wright- Patterson Air Force Base, Ohio, United States of America.
Nicole M SchaeublinUES Inc., Air Force Research Laboratory, Wright- Patterson Air Force Base, Ohio, United States of America.
Molly V FischerOak Ridge Institute of Science & Education, Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.
Jason J EckerleInfoSciTex Corp., Air Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.
Adam J StrangAir Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.
Jennifer A MartinAir Force Research Laboratory, Wright-Patterson Air Force Base, Ohio, United States of America.
Wright-Patterson Air Force Base · USHenry M. Jackson Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweat is a biofluid with several attractive attributes. However, investigation into sweat for biomarker discovery applications is still in its infancy. To add support for the use of sweat as a non-invasive media for human performance monitoring, volunteer participants were subjected to a physical exertion model using a treadmill. Following exercise, sweat was collected, aliquotted, and analyzed for metabolite and protein content via high-resolution mass spectrometry. Overall, the proteomic analysis illustrates significant enrichment steps will be required for proteomic biomarker discovery from single sweat samples as protein abundance is low in this medium. Furthermore, the results indicate a potential for protein degradation, or a large number of low molecular weight protein/peptides, in these samples. Metabolomic analysis shows a strong correlation in the overall abundance among sweat metabolites. Finally, hierarchical clustering of participant metabolite abundances show trends emerging, although no significant trends were observed (alpha = 0.8, lambda = 1 standard error via cross validation). However, these data suggest with a greater number of biological replicates, stronger, statistically significant results, can be obtained. Collectively, this study represents the first to simultaneously use both proteomic and metabolomic analysis to investigate sweat. These data highlight several pitfalls of sweat analysis for biomarker discovery applications.

Indexed as

ExerciseMetabolomicsProteomicsAdolescentAdultHumansMetabolomeMiddle AgedMilitary PersonnelPhysical EndurancePilot ProjectsProteomeSweatYoung AdultProteome

Identifiers

PMID30383773
PMCPMC6211630
OpenAlexW2898962197

What OpenQuestion holds

Textmetadata
LicenceCC0
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.