Human plasma proteomic profiles indicative of cardiorespiratory fitness.
Human plasma proteomic profiles indicative of cardiorespiratory fitness.
复制标题
DOI：
10.1038/s42255-021-00400-z
复制
发表时间：
2021-06
影响因子：
20.8
通讯作者：
Gerszten, Robert E.
中科院分区：
文献类型：
--
作者：
Robbins, Jeremy M.;Peterson, Bennet;Schranner, Daniela;Tahir, Usman A.;Rienmueller, Theresa;Deng, Shuliang;Keyes, Michelle J.;Katz, Daniel H.;Beltran, Pierre M. Jean;Barber, Jacob L.;Baumgartner, Christian;Carr, Steven A.;Ghosh, Sujoy;Shen, Changyu;Jennings, Lori L.;Ross, Robert;Sarzynski, Mark A.;Bouchard, Claude;Gerszten, Robert E.
最大摄氧量（VO2max）是人体心肺适能的直接指标，与健康相关。然而，个体间基线（内在）VO2max差异的分子决定因素，以及运动训练后VO2max增加（ΔVO2max）的分子决定因素，在很大程度上是未知的。在这里，我们使用基于亲和力的平台测量了超过650名久坐不动的成年人在20周的运动干预前后的约5，000种血浆蛋白，并确定了147种蛋白质和102种蛋白质，其血浆水平分别与基线VO2max和ΔVO2max相关。将源自这些蛋白质的蛋白质生物标志物评分添加到基于临床特征的评分中，可改善对个体ΔVO2max的预测。我们在一个单独的运动队列中验证了研究结果，进一步将21种蛋白质与基于社区的队列中的事件全因死亡率联系起来，并使用基于抗体的检测方法重现了约75%的关键发现的特异性。总之，我们的数据揭示了与心肺健康相关的生物学途径，并突出了蛋白质生物标志物在识别人类运动反应性方面的潜在附加价值。
Maximal oxygen uptake (VO2max) is a direct measure of human cardiorespiratory fitness and is associated with health. However, the molecular determinants of interindividual differences in baseline (intrinsic) VO2max, and of increases of VO2max in response to exercise trainxìng (ΔVO2max), are largely unknown. Here, we measure ~5,000 plasma proteins using an affinity-based platform in over 650 sedentary adults before and after a 20-week endurance-exercise intervention and identify 147 proteins and 102 proteins whose plasma levels are associated with baseline VO2max and ΔVO2max, respectively. Addition of a protein biomarker score derived from these proteins to a score based on clinical traits improves the prediction of an individual’s ΔVO2max. We validate findings in a separate exercise cohort, further link 21 proteins to incident all-cause mortality in a community-based cohort and reproduce the specificity of ~75% of our key findings using antibody-based assays. Taken together, our data shed light on biological pathways relevant to cardiorespiratory fitness and highlight the potential additive value of protein biomarkers in identifying exercise responsiveness in humans.
登录
查看更多内容
影响因子：
4.6
作者：
Candia J;Cheung F;Kotliarov Y;Fantoni G;Sellers B;Griesman T;Huang J;Stuccio S;Zingone A;Ryan BM;Tsang JS;Biancotto A
通讯作者：
Biancotto A
影响因子：
3.7
作者：
Gold L;Ayers D;Bertino J;Bock C;Bock A;Brody EN;Carter J;Dalby AB;Eaton BE;Fitzwater T;Flather D;Forbes A;Foreman T;Fowler C;Gawande B;Goss M;Gunn M;Gupta S;Halladay D;Heil J;Heilig J;Hicke B;Husar G;Janjic N;Jarvis T;Jennings S;Katilius E;Keeney TR;Kim N;Koch TH;Kraemer S;Kroiss L;Le N;Levine D;Lindsey W;Lollo B;Mayfield W;Mehan M;Mehler R;Nelson SK;Nelson M;Nieuwlandt D;Nikrad M;Ochsner U;Ostroff RM;Otis M;Parker T;Pietrasiewicz S;Resnicow DI;Rohloff J;Sanders G;Sattin S;Schneider D;Singer B;Stanton M;Sterkel A;Stewart A;Stratford S;Vaught JD;Vrkljan M;Walker JJ;Watrobka M;Waugh S;Weiss A;Wilcox SK;Wolfson A;Wolk SK;Zhang C;Zichi D
通讯作者：
Zichi D
影响因子：
2.8
作者：
Batista, GEAPA;Monard, MC
通讯作者：
Monard, MC
影响因子：
24
作者：
Clausen, Johan S. R.;Marott, Jacob L.;Jensen, Magnus T.
通讯作者：
Jensen, Magnus T.
影响因子：
3.3
作者：
Bouchard, Claude;Sarzynski, Mark A.;Rankinen, Tuomo
通讯作者：
Rankinen, Tuomo