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Multidimensional Modeling to Maximize Adaptations to eXercise: The M3AX Trial Rationale and Study Design
Zachary A Graham1, Matthew P Bubak2,3, Christiana J Raymond-Pope2
1Healthspan, Resilience and Performance Research, Florida Institute for Human and Machine Cognition, Pensacola, FL.
Individual responses to exercise vary significantly, impacting aging. This study uses a novel trial to identify factors behind this exercise response heterogeneity (IRH) and develop personalized training strategies for older adults.
Area of Science:
- Gerontology and Exercise Science
- Molecular Biology and Aging
- Personalized Medicine
Background:
- Age-related functional decline affects intrinsic capacity, healthspan, and quality of life.
- Exercise mitigates aging hallmarks, but individual responses (inter-individual response heterogeneity, IRH) vary significantly.
- Mechanisms underlying IRH and effective mitigation strategies remain largely elusive, prompting focused research initiatives.
Purpose of the Study:
- To classify individual responsiveness to combined endurance and resistance training in older adults.
- To interrogate the mechanistic underpinnings of exercise response heterogeneity (IRH).
- To develop and test strategies for boosting exercise responsiveness in older adults.
Main Methods:
- A two-phase Sequential Multiple Assignment Randomized Trial (SMART) design was implemented.
- Phase I involves classifying individual responsiveness and interrogating mechanistic underpinnings.
- Deep in vivo, ex vivo, and molecular phenotyping will be used to establish responsiveness biocircuitry and build predictive models.
Main Results:
- The study is designed to classify individual exercise responsiveness.
- Mechanistic underpinnings of IRH will be investigated using comprehensive phenotyping.
- Predictive models for personalized exercise prescriptions will be developed.
Conclusions:
- Understanding the factors underlying IRH is crucial for optimizing exercise interventions in older adults.
- This research aims to provide a basis for personalized exercise prescriptions tailored to individual responsiveness.
- The findings are expected to enhance the clinical efficacy of exercise training for improving healthspan and quality of life in aging populations.
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