Nieman David C, Groen Arnoud J, Pugachev Artyom, Vacca Gianmarco
North Carolina Research Campus, Appalachian State University, Kannapolis, NC 28081, USA.
ProteiQ Biosciences GmbH, 10967 Berlin, Germany.
Proteomes. 2018 Sep 1;6(3):33. doi: 10.3390/proteomes6030033.
No reliable biomarkers exist to identify athletes in various training states including functional overreaching (FOR), non-functional overreaching (NFOR), and overtraining syndrome (OTS). Participants (N = 10, age 38.3 ± 3.4 years) served as their own controls and in random, counterbalanced order either ran/cycled 2.5 h (70.0 ± 3.7% VO) three days in a row (FOR) or sat in the lab (rest) (separated by three weeks; 7:00⁻9:30 am, overnight fasted state). Participants provided fingerprick samples for dried blood spot samples (DBS) pre- and post-exercise/rest, and then during two recovery days. DBS proteins were measured with nanoLC-MS in data-independent acquisition (DIA) mode, and 593 proteins were identified and quantified. Proteins were considered for the FOR cluster if they were elevated during one of the two recovery days but not more than one of the exercise days (compared to rest). The generalized estimating equation (GEE) was used to identify proteins linked to FOR. A total of 13 proteins was linked to FOR and most were associated with the acute phase response and innate immune system activation. This study used a system-wide proteomics approach to define a targeted panel of blood proteins related to FOR that could form the basis of future NFOR- and OTS-based studies.
目前尚无可靠的生物标志物来识别处于各种训练状态的运动员,这些状态包括功能性过度训练(FOR)、非功能性过度训练(NFOR)和过度训练综合征(OTS)。参与者(N = 10,年龄38.3±3.4岁)作为自身对照,以随机、平衡的顺序连续三天进行2.5小时的跑步/骑行(70.0±3.7%VO)(FOR),或坐在实验室(休息)(间隔三周;上午7:00至9:30,空腹状态)。参与者在运动/休息前、后以及随后的两个恢复日提供手指采血样本用于干血斑样本(DBS)检测。采用纳升液相色谱-质谱联用仪以数据非依赖采集(DIA)模式测定DBS中的蛋白质,共鉴定和定量了593种蛋白质。如果蛋白质在两个恢复日中的一天升高,但在运动日中升高的天数不超过一天(与休息相比),则将其纳入FOR聚类分析。采用广义估计方程(GEE)来识别与FOR相关的蛋白质。共有13种蛋白质与FOR相关,且大多数与急性期反应和先天免疫系统激活有关。本研究采用全系统蛋白质组学方法来确定一组与FOR相关的靶向血液蛋白质,这可为未来基于NFOR和OTS的研究奠定基础。