Maestro Antonio, Del Coso Juan, Aguilar-Navarro Millán, Gutiérrez-Hellín Jorge, Morencos Esther, Revuelta Gonzalo, Ruiz Casares Eva, Perucho Teresa, Varillas-Delgado David
Faculty of Medicine, Oviedo University, Begoña Hospital, Gijón, Spain.
Centre for Sport Studies, Faculty of Health Sciences, Rey Juan Carlos University, Madrid, Spain.
Front Genet. 2022 Nov 16;13:1035899. doi: 10.3389/fgene.2022.1035899. eCollection 2022.
Many causes define injuries in professional soccer players. In recent years, the study of genetics in association with injuries has been of great interest. The purpose of this study was to examine the relationship between muscle injury-related genes, injury risk and injury etiology in professional soccer players. In a cross-sectional cohort study, one hundred and twenty-two male professional football players were recruited. (rs17602729), (rs4646994), (rs1815739), (rs8111989) and (rs2849757 and rs2700352) polymorphisms were genotyped by using Single Nucleotide Primer Extension (SNPE). The combined influence of the six polymorphisms studied was calculated using a total genotype score (TGS). A genotype score (GS) of 2 was assigned to the "protective" genotype for injuries, a GS of 1 was assigned to the heterozygous genotype while a GS of 0 was assigned to the "worst" genotype. Injury characteristics and etiology during the 2021/2022 season were classified following a Consensus Statement for injuries recording. The distribution of allelic frequencies in the and c.37885C>A polymorphisms were different between non-injured and injured soccer players ( < 0.001 and = 0.003, respectively). The mean total genotype score (TGS) in non-injured soccer players (57.18 ± 14.43 arbitrary units [a.u.]) was different from that of injured soccer players (51.71 ± 12.82 a.u., = 0.034). There was a TGS cut-off point (45.83 a.u.) to discriminate non-injured from injured soccer players. Players with a TGS beyond this cut-off had an odds ratio of 1.91 (95%CI: 1.14-2.91; = 0.022) to suffer an injury when compared with players with lower TGS. In conclusion, TGS analysis in muscle injury-related genes presented a relationship with professional soccer players at increased risk of injury. Future studies will help to develop this TGS as a potential tool to predict injury risk and perform prevention methodology in this cohort of football players.
职业足球运动员受伤的原因多种多样。近年来,与受伤相关的遗传学研究备受关注。本研究的目的是探讨职业足球运动员中肌肉损伤相关基因、受伤风险和受伤病因之间的关系。在一项横断面队列研究中,招募了122名男性职业足球运动员。通过单核苷酸引物延伸法(SNPE)对(rs17602729)、(rs4646994)、(rs1815739)、(rs8111989)以及(rs2849757和rs2700352)多态性进行基因分型。使用总基因型评分(TGS)计算所研究的六种多态性的综合影响。将受伤的“保护性”基因型的基因型评分(GS)设定为2,杂合基因型的GS设定为1,而“最差”基因型的GS设定为0。根据一份关于损伤记录的共识声明,对2021/2022赛季的损伤特征和病因进行分类。未受伤和受伤足球运动员之间,以及c.37885C>A多态性的等位基因频率分布存在差异(分别为P<0.001和P = 0.003)。未受伤足球运动员的平均总基因型评分(TGS)(57.18±14.43任意单位[a.u.])与受伤足球运动员的不同(51.71±12.82 a.u.,P = 0.034)。存在一个TGS临界点(45.83 a.u.)来区分未受伤和受伤的足球运动员。与TGS较低的球员相比,TGS超过此临界点的球员受伤的比值比为1.91(95%CI:1.14 - 2.91;P = 0.022)。总之,肌肉损伤相关基因的TGS分析表明其与受伤风险增加的职业足球运动员之间存在关联。未来的研究将有助于将这种TGS开发成一种潜在工具,用于预测该组足球运动员的受伤风险并实施预防方法。