Epigenetics in Exercise

Saghiv, Moran S.; Sagiv, Michael

doi:10.1007/978-3-030-48806-2_12

Cited by 1 publication

(2 citation statements)

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“…This memory is evidence that information is retained for later experiences and suggests neural plasticity and programmability (Sharples et al, 2016). For example, epigenetic modifications of gene expression following a single bout of exercise may involve restructuring skeletal muscle and tendons to better handle mechanical strain, or the responsive adaptations may involve altered metabolism that is specific to the intensity, duration, and mode of exercise (Saghiv and Sagiv, 2020). Accordingly, during prolonged periods of intense training, the adaptive responses of each exercise bout are integrated and interdependent (i.e., via numerous epigenetic modifications of gene expression).…”

Section: Analysis Of Ots Complexity Using Trans-omic Methodsmentioning

confidence: 99%

“…A substantial variety of signs and symptoms are observed, with obvious inter-individual differences (OTS and MD). Signs and symptoms include general fatigue/ malaise, insomnia, change of appetite, loss of motivation, reduced mental concentration, restlessness, loss of interest or pleasure in activities previously enjoyed, irritability (OTS and MD) [Lehman et al (1993), Froelich and Heil (1995) 2002) Epigenetic changes are associated with this disorder (MD), exercise training (OTS), and with genes that regulate HPA axis function during stress (OTS) (Alegría-Torres et al, 2011;Denham et al, 2014;Godoy, 2018;Saghiv and Sagiv, 2020;Silva, 2020) Buschdorf and Meaney. (2015); Park et al (2019) Dysfunction of the HPA axis is involved, including altered glucocorticoid receptor sensitivity in the brain, reduced adrenal sensitivity to ACTH, and intensity/duration of neurotransmitter release (OTS and MD) a Zautra and Reich.…”

Section: Overtraining Syndrome Major Depressionmentioning

confidence: 99%

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Overtraining Syndrome as a Complex Systems Phenomenon

Armstrong

Bergeron²,

Lee

et al. 2022

Front. Netw. Physiol.

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The phenomenon of reduced athletic performance following sustained, intense training (Overtraining Syndrome, and OTS) was first recognized more than 90 years ago. Although hundreds of scientific publications have focused on OTS, a definitive diagnosis, reliable biomarkers, and effective treatments remain unknown. The present review considers existing models of OTS, acknowledges the individualized and sport-specific nature of signs/symptoms, describes potential interacting predisposing factors, and proposes that OTS will be most effectively characterized and evaluated via the underlying complex biological systems. Complex systems in nature are not aptly characterized or successfully analyzed using the classic scientific method (i.e., simplifying complex problems into single variables in a search for cause-and-effect) because they result from myriad (often non-linear) concomitant interactions of multiple determinants. Thus, this review 1) proposes that OTS be viewed from the perspectives of complex systems and network physiology, 2) advocates for and recommends that techniques such as trans-omic analyses and machine learning be widely employed, and 3) proposes evidence-based areas for future OTS investigations, including concomitant multi-domain analyses incorporating brain neural networks, dysfunction of hypothalamic-pituitary-adrenal responses to training stress, the intestinal microbiota, immune factors, and low energy availability. Such an inclusive and modern approach will measurably help in prevention and management of OTS.

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Section: Analysis Of Ots Complexity Using Trans-omic Methodsmentioning

confidence: 99%