Molecular Choreography of Acute Exercise

Kévin Contrepois, Si Wu, Kegan J. Moneghetti, Daniel Hornburg, Sara Ahadi, Ming Shian Tsai, Ahmed A. Metwally, Eric Wei, Brittany Lee-McMullen, Jeniffer V. Quijada, Songjie Chen, Jeffrey W. Christle, Mathew Ellenberger, Brunilda Balliu, Shalina Taylor, Matthew G. Durrant, David A. Knowles, Hani Choudhry, Melanie Ashland, Amir BahmaniBrooke Enslen, Myriam Amsallem, Yukari Kobayashi, Monika Avina, Dalia Perelman, Sophia Miryam Schüssler-Fiorenza Rose, Wenyu Zhou, Euan A. Ashley, Stephen B. Montgomery, Hassan Chaib, Francois Haddad, Michael P. Snyder

Research output: Contribution to journalJournal articlepeer-review

66 Scopus citations

Abstract

Acute physical activity leads to several changes in metabolic, cardiovascular, and immune pathways. Although studies have examined selected changes in these pathways, the system-wide molecular response to an acute bout of exercise has not been fully characterized. We performed longitudinal multi-omic profiling of plasma and peripheral blood mononuclear cells including metabolome, lipidome, immunome, proteome, and transcriptome from 36 well-characterized volunteers, before and after a controlled bout of symptom-limited exercise. Time-series analysis revealed thousands of molecular changes and an orchestrated choreography of biological processes involving energy metabolism, oxidative stress, inflammation, tissue repair, and growth factor response, as well as regulatory pathways. Most of these processes were dampened and some were reversed in insulin-resistant participants. Finally, we discovered biological pathways involved in cardiopulmonary exercise response and developed prediction models revealing potential resting blood-based biomarkers of peak oxygen consumption.

Original languageEnglish
Pages (from-to)1112-1130.e16
JournalCell
Volume181
Issue number5
DOIs
StatePublished - 28 May 2020

Keywords

  • cardiopulmonary exercise testing
  • fitness
  • insulin resistance
  • multi-omics
  • outlier analysis
  • peak VO
  • physical activity
  • predictive analytics
  • systems biology
  • time-series analysis

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