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精英男性足球运动员在密集比赛期间的免疫炎症标志物与身体素质

Immune inflammation markers and physical fitness during a congested match play period in elite male soccer players.

作者信息

Saidi Karim, Abderrahman Abderraouf Ben, Laher Ismail, Hackney Anthony C, Hage Rawad El, Saeidi Ayoub, Bideau Benoit, Granacher Urs, Zouhal Hassane

机构信息

UFR Sciences and Techniques of Physical and Sports Activities, Toulon University, Toulon, France.

Higher Institute of Sport and Physical Education, Ksar-Said, University of Manouba, Manouba, Tunisia.

出版信息

Sci Rep. 2024 Dec 5;14(1):30312. doi: 10.1038/s41598-024-81225-0.

Abstract

BACKGROUND/OBJECTIVE: Cellular immune markers of inflammation such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune inflammation index (SII) are frequently used in patient care. The adoption of these markers to elite sports, e.g. soccer could be beneficial when monitoring training and aiming to maximize physical fitness. This study investigated cellular immune inflammation markers and physical fitness in elite male soccer players in relation to changes in training and match exposure during a congested match play period.

METHODS

Fifteen elite male soccer players were evaluated three times (T1, T2, and T3) over 12 weeks (T1-T2: six weeks uncongested period of match play and T2-T3: six weeks congested period of match play). Players performed vertical jump tests (squat jumps [SJ], countermovement jumps [CMJ]), the 20-meter sprint test, and the Yo-Yo intermittent recovery test (YYIRL1) at T1, T2 and T3. Measurements included counts of leucocytes and its subtypes, as well as platelets. Cellular immune inflammation markers (NLR, PLR and SII) were calculatedat T1, T2, and T3. Training session rating of perceived exertion was also recorded on a daily basis.

RESULTS

Significant increases in leucocyte, neutrophil, eosinophil, basophil and monocyte counts occurred at T3 compared with T2 (0.002 < p < 0.04, -0.56 < ES < -0.40) and T1 (-0.78 < ES < -0.49). Lymphocyte counts were lower at T3 as compared to T2 and T1 (p = 0.038, -0.48 < ES <-0.25), while NLR, PLR and SII were greater at T3 compared to T2 (0.001 < p < 0.015, -1.01 < ES < -0.44) and T1 (-0.99 < ES < -0.21). There was a negative correlation between YYIRL1 performance with NLR (r= -0.56; p = 0.02), PLR (r=-0,44, p = 0.015), and SII (r= -0.63; p = 0.01) after the congested period of match play (i.e., T3). Values for maximal oxygen uptake (VO), estimated from the YYIRL1 test, negatively correlated with NLR (r= -0.56; p = 0.02), PLR (r=-0,44, p = 0.015), and SII (p = 0.01; r= -0.63). There was a positive correlation between NLR, and SII with workload parameters. In addition, a clear positive correlation was observed between NLR and SII with competitive loadinstead (r= [0.59-0.64; p˂ 0.001), training load (TL) (r= [0.65-0.68]; p˂ 0.001), session rating of perceived exertion (S-RPE) (r= [0.65-0.68]; p = 0.001), and training volume (r= [0.60-0.61; p = 0.001).

CONCLUSION

An intensive period of congested match play significantly alterated immune cell counts and cellular markers of inflammation (NLR, PLR and SII). Changes in NLR and SII were related to workload parameters, suggesting the usefulness of these markers in regulating training intensity and competitive load. An association between physical fitness (YYIRL1, VO) and NLR, PLR and SII suggests that these biomarkers are promising tools to monitor aerobic physical fitness of elite soccer players during congested periods of match play.

摘要

背景/目的:炎症的细胞免疫标志物,如中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和全身免疫炎症指数(SII),在患者护理中经常被使用。将这些标志物应用于精英运动,如足球,在监测训练和旨在最大化体能时可能是有益的。本研究调查了精英男性足球运动员的细胞免疫炎症标志物和体能,以及在密集比赛期训练和比赛暴露变化之间的关系。

方法

15名精英男性足球运动员在12周内接受了三次评估(T1、T2和T3)(T1 - T2:六周无密集比赛期,T2 - T3:六周密集比赛期)。运动员在T1、T2和T3时进行了垂直跳跃测试(深蹲跳[SJ]、反向移动跳[CMJ])、20米短跑测试和Yo - Yo间歇恢复测试(YYIRL1)。测量包括白细胞及其亚型以及血小板的计数。在T1、T2和T3时计算细胞免疫炎症标志物(NLR、PLR和SII)。每天还记录训练课的主观用力程度评分。

结果

与T2(0.002<p<0.04, - 0.56<效应量< - 0.40)和T1( - 0.78<效应量< - 0.49)相比,T3时白细胞、中性粒细胞、嗜酸性粒细胞、嗜碱性粒细胞和单核细胞计数显著增加。与T2和T1相比,T3时淋巴细胞计数较低(p = 0.038, - 0.48<效应量< - 0.25),而与T2(0.001<p<0.015, - 1.01<效应量< - 0.44)和T1( - 0.99<效应量< - 0.21)相比,T3时NLR、PLR和SII更高。在密集比赛期(即T3)后,YYIRL1表现与NLR(r = - 0.56;p = 0.02)、PLR(r = - 0.44,p = 0.015)和SII(r = - 0.63;p = 0.01)之间存在负相关。根据YYIRL1测试估计的最大摄氧量(VO)值与NLR(r = - 0.56;p = 0.02)、PLR(r = - 0.44,p = 0.015)和SII(p = 0.01;r = - 0.63)呈负相关。NLR和SII与工作量参数之间存在正相关。此外,观察到NLR和SII与比赛负荷(r = [0.59 - 0.64;p<0.001])、训练负荷(TL)(r = [0.65 - 0.68];p<0.001)、主观用力程度评分(S - RPE)(r = [0.65 - 0.68];p = 0.001)和训练量(r = [0.60 - 0.61;p = 0.001])之间存在明显的正相关。

结论

密集比赛期显著改变了免疫细胞计数和炎症细胞标志物(NLR、PLR和SII)。NLR和SII的变化与工作量参数有关,表明这些标志物在调节训练强度和比赛负荷方面的有用性。体能(YYIRL1、VO)与NLR、PLR和SII之间的关联表明,这些生物标志物是监测精英足球运动员在密集比赛期有氧体能的有前途的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/999e/11621450/81335a6043e3/41598_2024_81225_Fig1_HTML.jpg

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