ArticleFrontiers in physiology2020
Proteomic Profiling and Monitoring of Training Distress and Illness in University Swimmers During a 25-Week Competitive Season.
Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- From blood drops to biomarkers: a scoping review of microsampling in mass spectrometry-based proteomics.Clinical proteomics · 2025Review
- Advancements in clinical approaches, analytical methods, and smart sampling for LC-MS-based protein determination from dried matrix spots.Journal of separation science · 2024Review
- Blood-Based Biomarkers for Managing Workload in Athletes: Perspectives for Research on Emerging Biomarkers.Sports medicine (Auckland, N.Z.) · 2023Review
- Seasonal changes in physiological and psychological parameters of stress in collegiate swimmers.Scientific reports · 2023Article
- Astaxanthin supplementation counters exercise-induced decreases in immune-related plasma proteins.Frontiers in nutrition · 2023Article
- Sportomics method to assess acute phase proteins in Olympic level athletes using dried blood spots and multiplex assay.Scientific reports · 2022Article
- Exercise immunology: Future directions.Journal of sport and health science · 2020Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeTo 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.
methodsThirty-five NCAA Division II swimmers were recruited to the study (male
resultsThirty-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 different across the season (
conclusionTDS and illness were related in this group of 32 collegiate swimmers throughout the competitive season, and expression of immune proteins improved the statistical separation of baseline weeks from the most stressful weeks. TDS data provided by the swimmers did not match their coaches' ratings of distress and swim performance. The importance of the immune system in the reaction to internal and external stress in athletes should be an area of further research.
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Registered trials
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