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/).
中文翻譯:
多組學(xué)對耐力運(yùn)動(dòng)訓(xùn)練反應(yīng)的時(shí)間動(dòng)力學(xué)
定期鍛煉可促進(jìn)全身健康并預(yù)防疾病,但其潛在的分子機(jī)制尚不完全清楚1,2,3。在這里,體力活動(dòng)聯(lián)盟4 的分子傳感器分析了雄性和雌性 Rattus norvegicus 在為期 8 周的耐力運(yùn)動(dòng)訓(xùn)練中全血、血漿和 18 個(gè)實(shí)體組織中的時(shí)間轉(zhuǎn)錄組、蛋白質(zhì)組、代謝組、脂質(zhì)組、磷酸化蛋白質(zhì)組、乙酰蛋白質(zhì)組、泛素蛋白質(zhì)組、表觀基因組和免疫組。由此產(chǎn)生的數(shù)據(jù)綱要包括 19 個(gè)組織、25 個(gè)分子平臺(tái)和 4 個(gè)訓(xùn)練時(shí)間點(diǎn)的 9,466 次檢測。鑒定出數(shù)千個(gè)共享的和組織特異性的分子改變,在多個(gè)組織中發(fā)現(xiàn)了性別差異。時(shí)間多組學(xué)和多組織分析揭示了對耐力訓(xùn)練的適應(yīng)性反應(yīng)的廣泛生物學(xué)見解,包括對免疫、代謝、應(yīng)激反應(yīng)和線粒體途徑的廣泛調(diào)節(jié)。許多變化與人類健康有關(guān),包括非酒精性脂肪肝、炎癥性腸病、心血管健康以及組織損傷和恢復(fù)。本研究中提供的數(shù)據(jù)和分析將作為理解和探索耐力訓(xùn)練的多組織分子效應(yīng)的寶貴資源,并在公共存儲(chǔ)庫 (https://motrpac-data.org/) 中提供。
更新日期:2024-05-02
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