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    Online Resource
    Online Resource
    Frontiers Media SA ; 2021
    In:  Frontiers in Physiology Vol. 12 ( 2021-12-17)
    In: Frontiers in Physiology, Frontiers Media SA, Vol. 12 ( 2021-12-17)
    Abstract: Background: Metabolic stress is high during training and competition of Olympic rowers, but there is a lack of biomedical markers allowing to quantify training load on the molecular level. We aimed to identify such markers applying a complex approach involving inflammatory and immunologic variables. Methods: Eleven international elite male rowers (age 22.7 ± 2.4 yrs.; VO 2 max 71 ± 5 ml·min −1 ·kg −1 ) of the German National Rowing team were monitored at competition phase (COMP) vs. preparation phase (PREP), representing high vs. low load. Perceived stress and recovery were assessed by a Recovery Stress Questionnaire for Athletes ( RESTQ-76 Sport ). Immune cell activation (dendritic cell (DC)/macrophage/monocytes/T-cells) was evaluated via fluorescent activated cell sorting. Cytokines, High-Mobility Group Protein B1 (HMGB1), cell-free DNA (cfDNA), creatine kinase (CK), uric acid (UA), and kynurenine (KYN) were measured in venous blood. Results: Rowers experienced more general stress and less recovery during COMP, but sports-related stress and recovery did not differ from PREP. During COMP, DC/macrophage/monocyte and T-regulatory cells (T reg -cell) increased ( p  = 0.001 and 0.010). HMGB1 and cfDNA increased in most athletes during COMP ( p  = 0.001 and 0.048), while CK, UA, and KYN remained unaltered ( p  = 0.053, 0.304, and 0.211). Pro-inflammatory cytokines IL-1β ( p  = 0.002), TNF-α ( p   & lt; 0.001), and the chemokine IL-8 ( p  = 0.001) were elevated during COMP, while anti-inflammatory Il-10 was lower ( p  = 0.002). Conclusion: COMP resulted in an increase in biomarkers reflecting tissue damage, with plausible evidence of immune cell activation that appeared to be compensated by anti-inflammatory mechanisms, such as T reg -cell proliferation. We suggest an anti-inflammatory and immunological matrix approach to optimize training load quantification in elite athletes.
    Type of Medium: Online Resource
    ISSN: 1664-042X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2564217-0
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