The Proteomic and Metabolomics Characterization of Exercise-Induced Sweat for Human Performance Monitoring: A Pilot Investigation
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 = 1standard error via cross validation).
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 2018
- Accession Number
- AD1094002
Entities
People
- Adam J. Strang
- Anthony V. Qualley
- Brian A. Geier
- Jason J. Eckerle
- Jennifer A. Martin
- Maegan L. O'connor
- Molly V. Fischer
- Nicole M. Schaeublin
- Rhonda L. Pitsch
- Sean W. Harshman
- Zachary K. Smith
Organizations
- Universal Energy Systems