Proteomic Profiling and Monitoring of Training Distress and Illness in University Swimmers During a 25-Week Competitive Season

Frontiers in Physiology
Amy M KnabArtyom Pugachev

Abstract

To evaluate relationships of proteomics data, athlete-reported illness, athlete training distress (TDS), and coaches' ratings of distress and performance over the course of the competitive season. Thirty-five NCAA Division II swimmers were recruited to the study (male n = 19, female n = 16; age 19.1 ± 1.6 years). Athletes provided fingerprick dried blood spot (DBS) samples, illness symptoms, and TDS every Monday for 19 of 25 weeks in their season. Coaches monitored performance and rated visual signs of distress. DBS samples were analyzed for a targeted panel of 12 immune-related proteins using liquid chromatography/mass spectrometry (LC/MS). Thirty-two swimmers completed the protocol. The data were grouped in 2-3 weeks segments to facilitate interpretation and analysis of the data. TDS scores varied between athletes, and were highest during the early fall conditioning ramp up period (8.9 ± 1.6 at baseline to a peak of 22.6 ± 2.0). The percent of athletes reporting illness was high throughout the season (50-78%). Analysis of TDS using Principle Component Analysis (PCA) revealed that 40.5% of the variance (PC1) could be attributed to illness prevalence, and TDS scores for the athletes reporting illness and no illness were differe...Continue Reading

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Citations

Sep 16, 2020·Journal of Sport and Health Science·David C Nieman, Brandt D Pence
Jul 2, 2021·Neuromuscular Disorders : NMD·Andréia CarneiroMarcos Dias Pereira

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Methods Mentioned

BETA
PCA
blood draws

Software Mentioned

WURSS
FactoMiner R library
Masshunter
LASSO
OpenSWATH
Skyline
MacCoss Lab
multcomp R package

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