运动热应激引起的核心体温升高可预测运动诱发的胃肠综合征。
The increase in core body temperature in response to exertional-heat stress can predict exercise-induced gastrointestinal syndrome.
作者信息
Henningsen Kayla, Mika Alice, Alcock Rebekah, Gaskell Stephanie K, Parr Alexandra, Rauch Christopher, Russo Isabela, Snipe Rhiannon M J, Costa Ricardo J S
机构信息
Department of Nutrition, Dietetics and Food, Monash University, Victoria, Australia.
Department of Dietetics and Human Nutrition, La Trobe University, Bundoora, Victoria, Australia.
出版信息
Temperature (Austin). 2023 May 24;11(1):72-91. doi: 10.1080/23328940.2023.2213625. eCollection 2024.
Utilizing metadata from existing exertional and exertional-heat stress studies, the study aimed to determine if the exercise-associated increase in core body temperature can predict the change in exercise-induced gastrointestinal syndrome (EIGS) biomarkers and exercise-associated gastrointestinal symptoms (Ex-GIS). Endurance-trained individuals completed 2 h of running exercise in temperate (21.2-30.0°C) to hot (35.0-37.2°C) ambient conditions (n = 132 trials). Blood samples were collected pre- and post-exercise to determine the change in gastrointestinal integrity biomarkers and systemic inflammatory cytokines. Physiological and thermoregulatory strain variables were assessed every 10-15 min during exercise. The strength of the linear relationship between maximal (M-Tre) and change (Δ Tre) in rectal temperature and EIGS variables was determined via Spearman's rank correlation coefficients. While the strength of prediction was determined via simple and multiple linear regression analyses dependent on screened EIGS and Ex-GIS confounding factors. Significant positive correlations between Tre maximum (M-Tre) and change (Δ Tre) with I-FABP (rs = 0.434, p < 0.001; and rs = 0.305, p < 0.001; respectively), sCD14 (rs = 0.358, p < 0.001; and rs = 0.362, p < 0.001), systemic inflammatory response profile (SIR-Profile) (p < 0.001), and total Ex-GIS (p < 0.05) were observed. M-Tre and Δ Tre significantly predicted (adjusted R2) magnitude of change in I-FABP (R2(2,123)=0.164, p < 0.001; and R2(2,119)=0.058, p = 0.011; respectively), sCD14 (R2(2,81)=0.249, p < 0.001; and R2(2,77)=0.214, p < 0.001), SIR-Profile (p < 0.001), and total Ex-GIS (p < 0.05). Strong to weak correlations were observed between M-Tre and Δ Tre with plasma concentrations of I-FABP, sCD14, SIR-Profile, and Ex-GIS in response to exercise. M-Tre and Δ Tre can predict the magnitude of these EIGS variables and Ex-GIS in response to exercise.
该研究利用现有运动性和运动热应激研究的元数据，旨在确定运动引起的核心体温升高是否能够预测运动诱发的胃肠道综合征（EIGS）生物标志物和运动相关胃肠道症状（Ex - GIS）的变化。耐力训练个体在温带（21.2 - 30.0°C）至炎热（35.0 - 37.2°C）的环境条件下完成2小时的跑步运动（n = 132次试验）。在运动前后采集血样，以确定胃肠道完整性生物标志物和全身炎症细胞因子的变化。在运动过程中每10 - 15分钟评估一次生理和体温调节应激变量。通过Spearman等级相关系数确定直肠温度的最大值（M - Tre）和变化值（Δ Tre）与EIGS变量之间线性关系的强度。而预测强度则通过依赖于筛选出的EIGS和Ex - GIS混杂因素的简单和多元线性回归分析来确定。观察到Tre最大值（M - Tre）和变化值（Δ Tre）与I - FABP（分别为rs = 0.434，p < （此处似乎有误，推测应为p < 0.001）；和rs = 0.305，p < 0.001）、sCD14（rs = 0.358，p < 0.001；和rs = 0.362，p < 0.001）、全身炎症反应谱（SIR - Profile）（p < 0.001）以及总Ex - GIS（p < 0.05）之间存在显著正相关。M - Tre和Δ Tre显著预测了（调整后的R2）I - FABP变化幅度（分别为R2(2,123)=0.164，p < 0.001；和R2(2,119)=0.058，p = 0.011）、sCD14（R2(2,81)=0.249，p < 0.001；和R2(2,77)=0.214，p < 0.001）、SIR - Profile（p < 0.001）以及总Ex - GIS（p < 0.05）。观察到M - Tre和Δ Tre与运动后I - FABP、sCD14、SIR - Profile和Ex - GIS的血浆浓度之间存在强到弱的相关性。M - Tre和Δ Tre能够预测这些EIGS变量和Ex - GIS在运动后的变化幅度。
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