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参与大学橄榄球赛季时球员位置对血清生物标志物的影响。

Effect of Player Position on Serum Biomarkers during Participation in a Season of Collegiate Football.

机构信息

Department of Emergency Medicine, Orlando Regional Medical Center, Orlando, Florida, USA.

Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.

出版信息

J Neurotrauma. 2022 Oct;39(19-20):1339-1348. doi: 10.1089/neu.2022.0083. Epub 2022 Sep 1.

Abstract

This prospective cohort study examined the relationship between a panel of four serum proteomic biomarkers (glial fibrillary acidic protein [GFAP], ubiquitin C-terminal hydrolase-L1 [UCH-L1], total Tau, and neurofilament light chain polypeptide [NF-L]) in 52 players from two different cohorts of male collegiate student football athletes from two different competitive seasons of Division I National Collegiate Athletic Association Football Bowl Subdivision. This study evaluated changes in biomarker concentrations (as indicators of brain injury) over the course of the playing season (pre- and post-season) and also assessed biomarker concentrations by player position using two different published classification systems. Player positions were divided into: 1) speed (quarterbacks, running backs, halfbacks, fullbacks, wide receivers, tight ends, defensive backs, safety, and linebackers) versus non-speed (offensive and defensive linemen), and 2) "Profile 1" (low frequency/high strain magnitudes positions including quarterbacks, wide receivers, and defensive backs), "Profile 2" (mid-range impact frequency and strain positions including linebackers, running backs, and tight ends), and "Profile 3" (high frequency/low strains positions including defensive and offensive linemen). There were significant increases in GFAP 39.3 to 45.6 pg/mL and NF-L 3.5 to 5.4 pg/mL over the course of the season ( < 0.001) despite only five players being diagnosed with concussion. UCH-L1 decreased significantly, and Tau was not significantly different. In both the pre- and post-season blood samples Tau and NF-L concentrations were significantly higher in speed versus non-speed positions. Concentrations of GFAP, Tau, and NF-L increased incrementally from "Profile 3," to "Profile 2" to "Profile 1" in the post-season. UCH-L1 did not. GFAP increased (by Profiles 3, 2, 1) from 42.4 to 49.6 to 78.2, respectively ( = 0.051). Tau increased from 0.37 to 0.61 to 0.67, respectively ( = 0.024). NF-L increased from 3.5 to 4.9 to 8.2, respectively ( < 0.001). Although GFAP and Tau showed similar patterns of elevations by profile in the pre-season samples they were not statistically significant. Only NF-L showed significant differences between profiles 2.7 to 3.1 to 4.2 in the pre-season ( = 0.042). GFAP, Tau, and NF-L concentrations were significantly associated with different playing positions with the highest concentrations in speed and "Profile 1" positions and the lowest concentrations were in non-speed and "Profile 3" positions. Blood-based biomarkers (GFAP, Tau, NF-L) provide an additional layer of injury quantification that could contribute to a better understanding of the risks of playing different positions.

摘要

本前瞻性队列研究考察了两个不同竞争赛季的一级大学体育协会足球碗分组中,来自两个不同男大学生足球运动员队列的 52 名运动员的 4 种血清蛋白质生物标志物(神经胶质纤维酸性蛋白 [GFAP]、泛素 C 末端水解酶-L1 [UCH-L1]、总 Tau 和神经丝轻链多肽 [NF-L])的面板之间的关系。本研究评估了生物标志物浓度(作为脑损伤的指标)在整个赛季(赛前和赛后)的变化,还使用两种不同的已发表分类系统评估了按球员位置的生物标志物浓度。球员位置分为:1)速度(四分卫、跑卫、半卫、全卫、外接手、近端锋、防守后卫、安全卫和线卫)与非速度(进攻和防守锋线),以及 2)“Profile 1”(低频率/高应变幅度位置,包括四分卫、外接手和防守后卫)、“Profile 2”(中范围冲击频率和应变位置,包括线卫、跑卫和近端锋)和“Profile 3”(高频率/低应变幅度位置,包括防守和进攻锋线)。尽管只有 5 名运动员被诊断为脑震荡,但 GFAP 从 39.3 增加到 45.6 pg/mL,NF-L 从 3.5 增加到 5.4 pg/mL( < 0.001)。UCH-L1 显著下降,Tau 没有显著差异。在赛前和赛后的血液样本中,速度位置的 Tau 和 NF-L 浓度均显著高于非速度位置。GFAP、Tau 和 NF-L 的浓度在后赛季中从“Profile 3”到“Profile 2”再到“Profile 1”逐渐增加。UCH-L1 没有。GFAP 从 42.4 分别增加到 49.6 到 78.2(分别为 = 0.051)。Tau 从 0.37 增加到 0.61 到 0.67(分别为 = 0.024)。NF-L 分别从 3.5 增加到 4.9 到 8.2(均为 < 0.001)。尽管 GFAP 和 Tau 在赛前样本中表现出类似的升高模式,但没有统计学意义。只有 NF-L 在赛前的 2.7 到 3.1 到 4.2 之间显示出显著差异( = 0.042)。GFAP、Tau 和 NF-L 浓度与不同的比赛位置密切相关,速度和“Profile 1”位置的浓度最高,非速度和“Profile 3”位置的浓度最低。基于血液的生物标志物(GFAP、Tau、NF-L)提供了额外的损伤量化层,可以帮助更好地了解不同位置的比赛风险。

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