Observational studyAging cell2025
Epigenetic Age Monitoring in Professional Soccer Players for Tracking Recovery and the Effects of Strenuous Exercise.
Observational study in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Epigenetic Age Acceleration as a Modifiable Public Health Target: A Systematic Review and Meta-Analysis of Environmental, Behavioral, and Social Determinants with Development of the MEAB-Index.International journal of molecular sciences · 2026Pooled it
- Epigenetic Modulation of Exercise Adaptation: The Role of Dietary Supplementation in Athletic Performance.Genes · 2026Review
- Driven by Dopamine: Genetic Insights into Motivation and Performance in Sports and Esports.Genes · 2026Review
- Epigenetic insights of Olympic champions: nuclear and mitochondrial DNA methylation and regulators of aging.GeroScience · 2026Article
- Integrative research on technology-assisted physical activity and biological aging: a review of wearable sensors, tele-exercise platforms, and aging biomarkers.Frontiers in medicine · 2026Review
- Construction and application of a model for predicting athletes' injury risk based on machine learning.BMC medical informatics and decision making · 2025Article
- From population science to the clinic? Limits of epigenetic clocks as personal biomarkers.Epigenomics · 2025Article
- Redefining personalized health: gamifying epigenetic fitness through DNA-based challenges.Discover nano · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Elite sports have become increasingly professionalized and personalized, with soccer players facing a high number of games per season. This trend presents significant challenges in optimizing training for peak performance and requires rigorous monitoring of athletes to prevent overload and reduce injury risks. The emerging field of epigenetic clocks offers promising new pathways for developing useful biomarkers that enhance training management. This study investigates the effects of intense physical activity on epigenetic age markers in professional soccer players across multiple games and during a championship season. We analyzed DNA methylation data from saliva samples collected before and after physical activity. Vigorous physical activity was found to rejuvenate epigenetic clocks, with significant decreases in DNAmGrimAge2 and DNAmFitAge observed immediately after games. Among player subgroups, midfielders exhibited the most substantial epigenetic rejuvenation effect following games. Additionally, the study suggests a potential link between DNA methylation patterns and injury occurrence. Overall, our study suggests that DNA methylation-based biomarkers may have applications in monitoring athlete performance and managing physical stress.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.