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Published on: April 28, 2023
Upregulation of HOTTIP and Its Potential Role in Monitoring Exercise Adaptation
Agnieszka Mołoń1, Dominika Podgórska2, Artur Płonka3
1Laboratory of Diagnostic and Clinical Epigenetics, Faculty of Medicine, University of Rzeszów, 2A Kopisto Ave., 35-959 Rzeszów, Poland.
Long non-coding RNAs (lncRNAs) can track exercise adaptation. HOTTIP lncRNA significantly increased after training in elite athletes, showing potential as a biomarker for monitoring physiological changes.
Area of Science:
- Molecular Biology
- Exercise Physiology
- Biomarker Discovery
Background:
- Athletic performance relies on complex physiological, environmental, and genetic factors.
- Exercise induces molecular changes impacting gene expression and tissue adaptation, but mechanisms are not fully understood.
- Accurate biomarkers are needed to monitor training-induced physiological adaptations.
Purpose of the Study:
- To evaluate selected long non-coding RNAs (lncRNAs) as potential biomarkers of training adaptation.
- To assess the expression levels of specific lncRNAs (SNHG4, SNHG5, PACERR, NEAT1, HIX003209, and HOTTIP) in elite female volleyball players before and after a 10-week training program.
Main Methods:
- Quantitative polymerase chain reaction (qPCR) was used to measure lncRNA expression in blood samples.
- Twelve elite female volleyball players underwent a 10-week training program.
- Expression levels were analyzed pre- and post-training.
Main Results:
- HOTTIP expression significantly increased over sixfold after training (p=0.009).
- HOTTIP demonstrated high diagnostic accuracy (AUC=0.917) as a biomarker, improving to 0.97 when combined with creatine kinase.
- Other evaluated lncRNAs did not show significant changes, though a correlation between HOTTIP and SNHG4 was observed.
Conclusions:
- HOTTIP is markedly upregulated following chronic exercise in elite female volleyball players.
- HOTTIP, particularly when combined with creatine kinase, shows significant promise as a molecular biomarker for monitoring training adaptation.
- This finding aids in understanding molecular responses to exercise and developing personalized training strategies.
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