Mucosal IgA and URTI in American college football players: A year longitudinal study
Mucosal IgA and URTI in American college football players: A year longitudinal study
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DOI：
10.1249/01.mss.0000155432.67020.88
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发表时间：
2005-03-01
期刊：
影响因子：
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通讯作者：
Engels, HJ
中科院分区：
文献类型：
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作者：
Fahlman, MM;Engels, HJ
目的：本研究的目的是：(a) 评估大学橄榄球运动员 12 个月内的分泌性免疫球蛋白 A (s-IgA)，以及 (b) 评估哪种常用的报告 s-IgA 的标准方法（单独或组合）可作为上呼吸道感染 (URTI) 发病率的最佳预测指标。方法：对 100 名大学年龄的男性（75 名大学橄榄球队运动员，25 名非橄榄球对照者）进行了为期 12 个月的八个点的研究。使用既定程序从唾液中测定静息粘膜 IgA、蛋白质和渗透压水平。此外，12 个月研究期间的 URTI 发生率是根据完整的标准研究日志计算得出的。对因变量进行重复测量方差分析，并进行八次单独的逐步多元回归分析，通过每个数据收集点的自变量、s-IgA、唾液流速、s-IgA分泌率、蛋白质、s-IgA:蛋白质、渗透压和s-IgA:渗透压来预测因变量“感冒次数”。结果：组别、时间和组X时间交互作用对s-IgA、s-IgA分泌率和感冒次数有显着的主效应。在回归模型中，唯一对所有时间点的方差有显着贡献的变量是 s-IgA 的分泌率。结论：这些研究结果表明，一个赛季的美式足球训练会导致 s-IgA 和 s-IgA 分泌率显着下降，并且 URTI 的发生率增加。在常用的表达s-IgA水平的各种方法中，s-IgA的分泌率可能是预测URTI发病率最有用的临床生物标志物。
Purpose: The purpose of this study was: (a) to evaluate secretory immunoglobulin A (s-IgA) over a 12-month time period in college football players, and (b) to assess which of the commonly used standard methods of reporting s-IgA, either alone or in combination, serves as the best predictor of incidence of upper respiratory tract infection (URTI). Methods: One hundred college-aged males (75 varsity college football athletes, 25 nonfootball controls) were studied at eight points over a 12-month period. Resting mucosal IgA, protein and osmolality levels were determined from saliva using established procedures. In addition, incidence of URTI over the 12-month study duration was calculated from completed standard research logs. Repeated-measures ANOVA were conducted on the dependent variables and eight separate stepwise multiple regression analyses were conducted to predict the dependent variable "number of colds" by the independent variables, s-IgA, saliva flow rate, secretion rate of s-IgA, protein, s-IgA:protein, osmolality and s-IgA:osmolality at each data collection point. Results: There was a significant main effect for group, time, and the group X time interaction for s-IgA, the secretion rate of s-IgA, and the number of colds. In the regression model, the only variable that made a significant contribution to the variance at all time points was the secretion rate of s-IgA. Conclusion: These findings suggest that a season of training in American football results in a significant decrease in both s-IgA and the secretion rate of s-IgA as well as an increase in the incidence of URTI. Among the various methods commonly employed to express s-IgA levels, the secretion rate of s-IgA may be the most useful clinical biomarker to predict the incidence of URTI.