Multidimensional Modeling to Maximize Adaptations to eXercise: the M <sup>3</sup> AX trial rationale and study design

Age-related functional declines are thought to be caused by hallmark biological processes that manifest in physical, mental, and metabolic impairments compromising intrinsic capacity, healthspan, and quality of life. Exercise is a multipotent treatment with promise to mitigate most aging hallmarks, but there is substantial variability in individual exercise responsiveness. This interindividual response heterogeneity (IRH) was first extensively interrogated by Bouchard and colleagues in the context of endurance training. Our group has interrogated IRH in response to resistance training and combined training, and we have conducted trials in older adults examining dose titration and adjuvant treatments in attempts to boost response rates. Despite the work of many groups, the mechanisms underpinning IRH and effective mitigation strategies largely remain elusive. The National Institute on Aging (NIA) hosted a focused workshop in 2022 titled "Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in old adults." This workshop spurred a dedicated NIA request for applications (RFA) with the major goal "to better understand factors underlying response variability to exercise training in older adults." We developed a two-phase Sequential Multiple Assignment Randomized Trial in response to the RFA that will allow us to classify individual responsiveness to combined endurance and resistance training and interrogate potential mechanistic underpinnings (<i>Phase I</i>), followed by an approach to boost responsiveness (<i>Phase II</i>). Using deep in vivo, ex vivo, and molecular phenotyping, we will establish multidimensional biocircuitry of responsiveness and build predictive models, providing a basis for personalized exercise prescriptions.<b>NEW & NOTEWORTHY</b> The Multidimensional Modeling to Maximize Adaptations to eXercise (M<sup>3</sup>AX) Trial is the first trial designed specifically to better understand interindividual response heterogeneity (IRH) among older adults during combined endurance and resistance training. A two-phase sequential multiple assignment randomized trial design (enrolling <i>n</i> = 250) enables IRH interrogation in <i>Phase I</i> (12 wk) and mitigation in <i>Phase II</i> (10 wk), with deep phenotyping across physiological, metabolic, cognitive, behavioral, cellular, and molecular domains including biological hallmarks of aging.

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Publication Details

Journal
Journal of Applied Physiology
Published
2025-09-28
DOI
https://doi.org/10.1152/japplphysiol.00486.2025
Citations
1
Primary Topic
Cardiovascular and exercise physiology
Type
article
Field-Weighted Citation Impact
2.38
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article

Multidimensional Modeling to Maximize Adaptations to eXercise: the M 3 AX trial rationale and study design

Lisa de las Fuentes, Josh Bowers, S. Craig Tuggle, Jacob A. Siedlik et al.
1 citations
Journal of Applied Physiology
Cardiovascular and exercise physiology
2.38
article

Multidimensional Modeling to Maximize Adaptations to eXercise: the M 3 AX trial rationale and study design

Lisa de las Fuentes, Josh Bowers, S. Craig Tuggle, Jacob A. Siedlik, Sue C. Bodine, Benjamin F. Miller, Karyn A. Esser, Gary Cutter, Christiana J. Raymond‐Pope, Luís Gustavo Oliveira de Sousa, Beatriz Crespo-Ruiz, Natalie J. Bohmke, Marcas M. Bamman, Katherine M. Vanselow, Thomas A. Perry, Jeremy S. McAdam, Zachary Graham, Jennifer Smith, Matthew P. Bubak, Amritpal Kaur, Ed Chappe, Rachel L. Wright, Kana Meece, Sophia C. Bamman, Jorge S. Acosta-Arreguin, Greg J. Addison
article en
1 citations

Abstract

Age-related functional declines are thought to be caused by hallmark biological processes that manifest in physical, mental, and metabolic impairments compromising intrinsic capacity, healthspan, and quality of life. Exercise is a multipotent treatment with promise to mitigate most aging hallmarks, but there is substantial variability in individual exercise responsiveness. This interindividual response heterogeneity (IRH) was first extensively interrogated by Bouchard and colleagues in the context of endurance training. Our group has interrogated IRH in response to resistance training and combined training, and we have conducted trials in older adults examining dose titration and adjuvant treatments in attempts to boost response rates. Despite the work of many groups, the mechanisms underpinning IRH and effective mitigation strategies largely remain elusive. The National Institute on Aging (NIA) hosted a focused workshop in 2022 titled "Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in old adults." This workshop spurred a dedicated NIA request for applications (RFA) with the major goal "to better understand factors underlying response variability to exercise training in older adults." We developed a two-phase Sequential Multiple Assignment Randomized Trial in response to the RFA that will allow us to classify individual responsiveness to combined endurance and resistance training and interrogate potential mechanistic underpinnings (<i>Phase I</i>), followed by an approach to boost responsiveness (<i>Phase II</i>). Using deep in vivo, ex vivo, and molecular phenotyping, we will establish multidimensional biocircuitry of responsiveness and build predictive models, providing a basis for personalized exercise prescriptions.<b>NEW & NOTEWORTHY</b> The Multidimensional Modeling to Maximize Adaptations to eXercise (M<sup>3</sup>AX) Trial is the first trial designed specifically to better understand interindividual response heterogeneity (IRH) among older adults during combined endurance and resistance training. A two-phase sequential multiple assignment randomized trial design (enrolling <i>n</i> = 250) enables IRH interrogation in <i>Phase I</i> (12 wk) and mitigation in <i>Phase II</i> (10 wk), with deep phenotyping across physiological, metabolic, cognitive, behavioral, cellular, and molecular domains including biological hallmarks of aging.

Journal of Applied PhysiologyVol. 139(5)
Alabama Department of Public Health (US), Florida Institute for Human and Machine Cognition (US), Veterans Health Administration (US), Oklahoma Medical Research Foundation (US), University of Alabama at Birmingham (US), University of Florida (US), Oklahoma City VA Medical Center (US), Oklahoma City VA Health Care System (US), University of West Florida (US)
Openalex Percentile: Top 9%
Cardiovascular and exercise physiology
2.38
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