High-throughput assessment of exercise-induced adaptations and muscle function in health and ageing

Abstract

Exercise improves metabolic health, enhances insulin sensitivity, and preserves muscle function, making it a core intervention to combat age-related decline and metabolic disorders. However, large-scale genetic and pharmacological screens to uncover exercise-induced adaptations remain challenging in mammalian models due to their complexity and cost. Here, we present the ClimbMaster, a fully automated, computer-controlled platform for assessing exercise-induced adaptations and physical performance in the fruit fly Drosophila. The system uses repeated climbing exercises to simulate endurance training, enabling precise measurements of climbing speed and endurance across different conditions and life stages. Using the ClimbMaster, we demonstrate that exercise improves endurance, promotes fat loss, and enhances insulin-mediated glucose uptake and modulates insulin sensitivity in muscle, highlighting key conserved features of exercise physiology between flies and mammals. We also show that rapamycin, a TOR inhibitor, mitigates age-related performance decline. This platform enables high-throughput screens to investigate genetic and environmental factors influencing muscle health, aging, and insulin resistance, providing a scalable and versatile tool for the identification of novel therapeutic targets to improve healthspan and physical performance.