Temporal dynamics of the multi
Temporal dynamics of the multi-omic response to endurance exercise training
Nature ( IF 50.5 ) Pub Date : 2024-05-01 , DOI: 10.1038/s41586-023-06877-w
, David Amar , Nicole R. Gay , Pierre M. Jean-Beltran , Dam Bae , Surendra Dasari , Courtney Dennis , Charles R. Evans , David A. Gaul , Olga Ilkayeva , Anna A. Ivanova , Maureen T. Kachman , Hasmik Keshishian , Ian R. Lanza , Ana C. Lira , Michael J. Muehlbauer , Venugopalan D. Nair , Paul D. Piehowski , Jessica L. Rooney , Kevin S. Smith , Cynthia L. Stowe , Bingqing Zhao , Natalie M. Clark , David Jimenez-Morales , Malene E. Lindholm , Gina M. Many , James A. Sanford , Gregory R. Smith , Nikolai G. Vetr , Tiantian Zhang , Jose J. Almagro Armenteros , Julian Avila-Pacheco , Nasim Bararpour , Yongchao Ge , Zhenxin Hou , Shruti Marwaha , David M. Presby , Archana Natarajan Raja , Evan M. Savage , Alec Steep , Yifei Sun , Si Wu , Jimmy Zhen , Sue C. Bodine , Karyn A. Esser , Laurie J. Goodyear , Simon Schenk , Stephen B. Montgomery , Facundo M. Fernández , Stuart C. Sealfon , Michael P. Snyder , Joshua N. Adkins , Euan Ashley , Charles F. Burant , Steven A. Carr , Clary B. Clish , Gary Cutter , Robert E. Gerszten , William E. Kraus , Jun Z. Li , Michael E. Miller , K. Sreekumaran Nair , Christopher Newgard , Eric A. Ortlund , Wei-Jun Qian , Russell Tracy , Martin J. Walsh , Matthew T. Wheeler , Karen P. Dalton , Trevor Hastie , Steven G. Hershman , Mihir Samdarshi , Christopher Teng , Rob Tibshirani , Elaine Cornell , Nicole Gagne , Sandy May , Brian Bouverat , Christiaan Leeuwenburgh , Ching-ju Lu , Marco Pahor , Fang-Chi Hsu , Scott Rushing , Michael P. Walkup , Barbara Nicklas , W. Jack Rejeski , John P. Williams , Ashley Xia , Brent G. Albertson , Elisabeth R. Barton , Frank W. Booth , Tiziana Caputo , Michael Cicha , Luis Gustavo Oliveira De Sousa , Roger Farrar , Andrea L. Hevener , Michael F. Hirshman , Bailey E. Jackson , Benjamin G. Ke , Kyle S. Kramer , Sarah J. Lessard , Nathan S. Makarewicz , Andrea G. Marshall , Pasquale Nigro , Scott Powers , Krithika Ramachandran , R. Scott Rector , Collyn Z-T. Richards , John Thyfault , Zhen Yan , Chongzhi Zang , Mary Anne S. Amper , Ali Tugrul Balci , Clarisa Chavez , Maria Chikina , Roxanne Chiu , Marina A. Gritsenko , Kristy Guevara , Joshua R. Hansen , Krista M. Hennig , Chia-Jui Hung , Chelsea Hutchinson-Bunch , Christopher A. Jin , Xueyun Liu , Kristal M. Maner-Smith , D. R. Mani , Nada Marjanovic , Matthew E. Monroe , Ronald J. Moore , Samuel G. Moore , Charles C. Mundorff , Daniel Nachun , Michael D. Nestor , German Nudelman , Cadence Pearce , Vladislav A. Petyuk , Hanna Pincas , Irene Ramos , Alexander Raskind , Stas Rirak , Jeremy M. Robbins , Aliza B. Rubenstein , Frederique Ruf-Zamojski , Tyler J. Sagendorf , Nitish Seenarine , Tanu Soni , Karan Uppal , Sindhu Vangeti , Mital Vasoya , Alexandria Vornholt , Xuechen Yu , Elena Zaslavsky , Navid Zebarjadi , Marcas Bamman , Bryan C. Bergman , Daniel H. Bessesen , Thomas W. Buford , Toby L. Chambers , Paul M. Coen , Dan Cooper , Fadia Haddad , Kishore Gadde , Bret H. Goodpaster , Melissa Harris , Kim M. Huffman , Catherine M. Jankowski , Neil M. Johannsen , Wendy M. Kohrt , Bridget Lester , Edward L. Melanson , Kerrie L. Moreau , Nicolas Musi , Robert L. Newton , Shlomit Radom-Aizik , Megan E. Ramaker , Tuomo Rankinen , Blake B. Rasmussen , Eric Ravussin , Irene E. Schauer , Robert S. Schwartz , Lauren M. Sparks , Anna Thalacker-Mercer , Scott Trappe , Todd A. Trappe , Elena Volpi , , , , , , , , , , , , , , , , , , ,
Regular exercise promotes whole-body health and prevents disease, but the underlying molecular mechanisms are incompletely understood1,2,3. Here, the Molecular Transducers of Physical Activity Consortium4 profiled the temporal transcriptome, proteome, metabolome, lipidome, phosphoproteome, acetylproteome, ubiquitylproteome, epigenome and immunome in whole blood, plasma and 18 solid tissues in male and female Rattus norvegicus over eight weeks of endurance exercise training. The resulting data compendium encompasses 9,466 assays across 19 tissues, 25 molecular platforms and 4 training time points. Thousands of shared and tissue-specific molecular alterations were identified, with sex differences found in multiple tissues. Temporal multi-omic and multi-tissue analyses revealed expansive biological insights into the adaptive responses to endurance training, including widespread regulation of immune, metabolic, stress response and mitochondrial pathways. Many changes were relevant to human health, including non-alcoholic fatty liver disease, inflammatory bowel disease, cardiovascular health and tissue injury and recovery. The data and analyses presented in this study will serve as valuable resources for understanding and exploring the multi-tissue molecular effects of endurance training and are provided in a public repository (https://motrpac-data.org/).
中文翻译：
多组学对耐力运动训练反应的时间动力学
定期锻炼可促进全身健康并预防疾病，但其潜在的分子机制尚不完全清楚1,2,3。在这里，体力活动联盟4 的分子传感器分析了雄性和雌性 Rattus norvegicus 在为期 8 周的耐力运动训练中全血、血浆和 18 个实体组织中的时间转录组、蛋白质组、代谢组、脂质组、磷酸化蛋白质组、乙酰蛋白质组、泛素蛋白质组、表观基因组和免疫组。由此产生的数据纲要包括 19 个组织、25 个分子平台和 4 个训练时间点的 9,466 次检测。鉴定出数千个共享的和组织特异性的分子改变，在多个组织中发现了性别差异。时间多组学和多组织分析揭示了对耐力训练的适应性反应的广泛生物学见解，包括对免疫、代谢、应激反应和线粒体途径的广泛调节。许多变化与人类健康有关，包括非酒精性脂肪肝、炎症性肠病、心血管健康以及组织损伤和恢复。本研究中提供的数据和分析将作为理解和探索耐力训练的多组织分子效应的宝贵资源，并在公共存储库 （https://motrpac-data.org/） 中提供。
更新日期：2024-05-02
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