Nutrients, Journal Year: 2025, Volume and Issue: 17(8), P. 1379 - 1379
Published: April 19, 2025
Background: Iron deficiency is a prevalent issue among elite athletes, particularly in endurance-based sports like football, where optimal iron status crucial for aerobic capacity and performance. Despite the well-documented role of oxygen transport energy metabolism, interplay between genetic polymorphisms, biochemical markers, supplementation remains poorly understood. This study aimed to investigate relationship polymorphisms professional football players, assess impact on athletic performance, develop predictive model based profiles. Methods: A longitudinal was conducted over three seasons (2021–2024) with 48 male players. Participants underwent genotyping ACE (rs4646994), ACTN3 (rs1815739), AMPD1 (rs17602729), CKM (rs8111989), HFE (rs1799945), MLCK (rs2700352, rs28497577). Biochemical markers (ferritin, haemoglobin, haematocrit, serum iron) performance metrics (GPS-derived data) were monitored. (105 mg/day ferrous sulphate) administered players ferritin <30 ng/mL. Total Genotype Score (TGS) calculated evaluate predisposition. Results: Players “optimal” genotypes (ACE DD, CC, GC) required less (TGS = 51.25 vs. 41.32 a.u.; p 0.013) exhibited better metrics. significantly improved haemoglobin haematocrit deficient (p < 0.05). The TGS predicted need (AUC 0.711; 0.023), threshold 46.42 a.u. (OR 5.23, 95% CI: 1.336–14.362; 0.017 non-supplemented players). Furthermore, data revealed that iron-supplemented had lower competition time (1128.40 1972.84 min; 0.003), total distance covered (128,129.42 218,556.64 m; 0.005), high-speed running 18–21 km/h (7.58 10.36 m/min; 0.007) 21–24 (4.43 6.13 0.010) speed zones. They also started fewer matches (11.50 21.59; 0.001). Conclusions: Genetic profile combined monitoring effectively predicts needs athletes. Personalized nutrition strategies, guided by TGS, can optimize enhance approach bridges critical gap science, offering framework precision athletics.
Language: Английский