Evidence map›Paper›PMID 34026725›Full record

ArticleFrontiers in chemistry2021

The Impact of Nutritional Supplementation on Sweat Metabolomic Content: A Proof-of-Concept Study.

Sean W Harshman, Andrew B Browder, Christina N Davidson, Rhonda L Pitsch, Kraig E Strayer, Nicole M Schaeublin, Mandy S Phelps, Maegan L O'Connor, Nicholas S Mackowski, Kristyn N Barrett and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

13 authors at 2 institutions in 1 country.

Sean W HarshmanUES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Andrew B BrowderUES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Christina N DavidsonAir Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Rhonda L PitschAir Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Kraig E StrayerUES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Nicole M SchaeublinUES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Mandy S PhelpsUES Inc., Air Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
Maegan L O'ConnorInfoSciTex Corp., Air Force Research Laboratory, 711th Human Performance Wing/RHBCN, Wright-Patterson AFB, Dayton, OH, United States.
Nicholas S MackowskiInfoSciTex Corp., Air Force Research Laboratory, 711th Human Performance Wing/RHBCN, Wright-Patterson AFB, Dayton, OH, United States.
Kristyn N BarrettInfoSciTex Corp., Air Force Research Laboratory, 711th Human Performance Wing/RHBCN, Wright-Patterson AFB, Dayton, OH, United States.
Jason J EckerleInfoSciTex Corp., Air Force Research Laboratory, 711th Human Performance Wing/RHBCN, Wright-Patterson AFB, Dayton, OH, United States.
Adam J StrangAir Force Research Laboratory, 711th Human Performance Wing/RHBCN, Wright-Patterson AFB, Dayton, OH, United States.
Jennifer A MartinAir Force Research Laboratory, 711th Human Performance Wing/RHBBF, Wright-Patterson AFB, Dayton, OH, United States.
711th Human Performance WingUnited States Air Force Research Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweat is emerging as a prominent biosource for real-time human performance monitoring applications. Although promising, sources of variability must be identified to truly utilize sweat for biomarker applications. In this proof-of-concept study, a targeted metabolomics method was applied to sweat collected from the forearms of participants in a 12-week exercise program who ingested either low or high nutritional supplementation twice daily. The data establish the use of dried powder mass as a method for metabolomic data normalization from sweat samples. Additionally, the results support the hypothesis that ingestion of regular nutritional supplementation semi-quantitatively impact the sweat metabolome. For example, a receiver operating characteristic (ROC) curve of relative normalized metabolite quantities show an area under the curve of 0.82 suggesting the sweat metabolome can moderately predict if an individual is taking nutritional supplementation. Finally, a significant correlation between physical performance and the sweat metabolome are established. For instance, the data illustrate that by utilizing multiple linear regression modeling approaches, sweat metabolite quantities can predict VO

Indexed as

dietmetabolomicsnormalizationquantitationsweat

Identifiers

PMID34026725
PMCPMC8138560
OpenAlexW3160061741

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.