Dataset Information

The impact of nutritional supplementation on sweat metabolomic content

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 VO₂ max (p = 0.0346), peak lower body Windage (p = 0.0112), and abdominal circumference (p = 0.0425). The results illustrate the need to account for dietary nutrition in biomarker discovery applications involving sweat as a biosource.

INSTRUMENT(S): Liquid Chromatography MS - positive - hilic

SUBMITTER: Sean Harshman

PROVIDER: MTBLS2427 | MetaboLights | 2021-03-15

REPOSITORIES: MetaboLights

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Publications

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

Harshman Sean W SW Browder Andrew B AB Davidson Christina N CN Pitsch Rhonda L RL Strayer Kraig E KE Schaeublin Nicole M NM Phelps Mandy S MS O'Connor Maegan L ML Mackowski Nicholas S NS Barrett Kristyn N KN Eckerle Jason J JJ Strang Adam J AJ Martin Jennifer A JA

Frontiers in chemistry 20210507

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 met ...[more]

PMID: 34026725

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			Action	DRS
	MTBLS2427	Other
	FILES	Other
	a_MTBLS2427_LC-MS_positive_hilic_metabolite_profiling.txt	Txt
	files-all.json	Other
	i_Investigation.txt	Txt