Genetic and epigenetic determinants of injury risk and recovery in elite athletes: toward precision sports medicine

IF 2.7 3区 生物学 Q2 GENETICS & HEREDITY
Gene Pub Date : 2026-02-20 Epub Date: 2025-12-12 DOI:10.1016/j.gene.2025.149957
Hao Ding , Qilu Deng , Zhenhua Guo
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引用次数: 0

Abstract

Musculoskeletal injuries and interindividual variability in recovery remain critical challenges for sustaining elite athletic performance. Despite advances in diagnostics, training, and rehabilitation, unexplained differences in injury risk and recovery efficiency persist. Growing evidence implicates genetic and epigenetic mechanisms in these disparities, influencing collagen integrity, inflammatory regulation, oxidative stress, and muscle regeneration. Key contributors include single-nucleotide polymorphisms (SNPs) in COL1A1, COL5A1, ACTN3, and IL6, as well as novel loci identified by genome-wide association studies (GWAS). Polygenic risk scores (PRS), which integrate the effects of multiple low-impact variants, enhance prediction compared to single-gene markers. Epigenetic regulators, including DNA methylation and exercise-responsive microRNAs (e.g., miR-206, miR-133a, miR-486), provide a dynamic interface linking genetic predisposition with environmental factors such as training load and nutrition. Integration of genomic data with wearable technologies and artificial intelligence enables real-time monitoring, adaptive recovery, and precision load management. Yet, clinical translation faces challenges including limited population diversity, interpretative complexity, and ethical concerns over data privacy and potential misuse. Advancing precision sports medicine will require multidisciplinary, systems-level strategies that unite molecular insights with practical implementation, ultimately enabling individualized injury prevention, optimized rehabilitation, and the preservation of long-term athlete health and performance.
精英运动员损伤风险和恢复的遗传和表观遗传决定因素:走向精确运动医学。
肌肉骨骼损伤和恢复中的个体差异仍然是维持精英运动表现的关键挑战。尽管在诊断、训练和康复方面取得了进步,但无法解释的损伤风险和恢复效率差异仍然存在。越来越多的证据暗示这些差异的遗传和表观遗传机制,影响胶原完整性,炎症调节,氧化应激和肌肉再生。关键因素包括COL1A1、COL5A1、ACTN3和IL6的单核苷酸多态性(snp),以及全基因组关联研究(GWAS)发现的新位点。与单基因标记相比,多基因风险评分(PRS)整合了多个低影响变异的影响,提高了预测能力。表观遗传调控因子,包括DNA甲基化和运动反应性microrna(如miR-206, miR-133a, miR-486),提供了一个动态接口,将遗传易感性与环境因素(如训练负荷和营养)联系起来。基因组数据与可穿戴技术和人工智能的集成实现了实时监测、自适应恢复和精确负载管理。然而,临床翻译面临的挑战包括有限的人群多样性,解释的复杂性,以及对数据隐私和潜在滥用的伦理担忧。推进精准运动医学将需要多学科、系统级的策略,将分子见解与实际实施结合起来,最终实现个性化的损伤预防、优化的康复,并保持运动员的长期健康和表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gene
Gene 生物-遗传学
CiteScore
6.10
自引率
2.90%
发文量
718
审稿时长
42 days
期刊介绍: Gene publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses.
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