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Updated: Jul 30, 2025

Supramaximal Intensity Hypoxic Exercise and Vascular Function Assessment in Mice

Supramaximal Intensity Hypoxic Exercise and Vascular Function Assessment in Mice

Published on: March 15, 2019

Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice.

Timothy M Moore¹, Sindre Lee², Thomas Olsen³

¹Division of Cardiology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA; Division of Endocrinology, Diabetes, and Hypertension, Department of Medicine, David Geffen School of Medicine University of California, Los Angeles, Los Angeles, CA, USA.

|May 13, 2023

Summary

Physical activity benefits human and rodent metabolism. Genetic analysis reveals key drivers of exercise response, paving the way for personalized exercise prescriptions.

Keywords:

CP: Metabolism CP: Molecular biology HMDP exercise genetics multi-omics physical activity physiology systems biology

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Last Updated: Jul 30, 2025

Supramaximal Intensity Hypoxic Exercise and Vascular Function Assessment in Mice

Supramaximal Intensity Hypoxic Exercise and Vascular Function Assessment in Mice

Published on: March 15, 2019

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Published on: May 5, 2022

Short Session High Intensity Interval Training and Treadmill Assessment in Aged Mice

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Published on: February 2, 2019

Area of Science:

Exercise physiology
Genetics
Metabolic research

Background:

Physical activity promotes beneficial metabolic adaptations in humans and rodents.
Understanding the genetic basis of these adaptations is crucial for personalized medicine.

Purpose of the Study:

To investigate the genetic drivers of metabolic trait response to exercise in humans and mice.
To develop predictive models for personalized exercise prescription.

Main Methods:

Comparative analysis of over 50 complex traits before and after exercise intervention in middle-aged men and 100 diverse mouse strains.
Candidate gene analyses in multiple tissues (brain, muscle, liver, heart, adipose) of mice.
Leveraging genetic diversity to build prediction models.

Main Results:

Identified genetic drivers for traits like exercise volume, muscle metabolism, adiposity, and hepatic lipids.
Found conserved gene expression in skeletal muscle between humans and mice post-exercise, independent of BMI.
Demonstrated species and genotype-specific regulation of adipose tissue response to exercise-stimulated weight loss.

Conclusions:

Genetic factors significantly influence individual responses to physical activity.
A framework for personalized exercise prescription based on genetic makeup and metabolic response is proposed.
Publicly available human and mouse data facilitate further research and hypothesis generation.