Authors
Jeffrey A Rothschild, Anna Katharina Dunst, Jessie Axsom, Henning Wackerhage, Hermann Heck
Published in
Proceedings of the National Academy of Sciences of the United States of America. Volume 123. Issue 40. Pages e2525555123. Oct 06, 2026. Epub Sep 28, 2026.
Abstract
Energy metabolism matches adenosine triphosphate (ATP) resynthesis to hydrolysis even during abrupt transitions such as exercise onset. In 1984, Alois Mader proposed a mechanistic model that captures this regulation through 33 coupled differential equations linking oxidative phosphorylation, glycolysis, and the phosphocreatine shuttle via adenosine diphosphate (ADP), phosphate, and pH feedback. Despite its potential, broader adoption has been limited by closed-source implementations and key publications available only in German. Here, we present MetaboliSim, an open-source software tool that simulates muscle energy metabolism in a virtual human parameterized by four physiological inputs: V̇O2max (oxidative capacity), vLamax (glycolytic capacity), body mass, and active muscle mass. Using MetaboliSim, we test Mader's equations against 10 experimentally established phenomena of exercise metabolism, including ATP homeostasis under fatigue, transient pH alkalinization, glycogen-dependent lactate thresholds, intensity-dependent fat oxidation, the V̇O2 slow component, and work-rate-dependent exhaustion, without altering any equation or constant within the model. Mader's model qualitatively reproduces all 10 phenomena, generating similarly shaped response curves; absolute values depend on individual parameterization rather than being universally matched. The characteristic inverted-U of fat oxidation and the exercise intensity-dependent V̇O2 kinetics, for example, both emerge from the same equation system. A Sobol sensitivity analysis (S01) reveals a calibration hierarchy: V̇O2max and body mass drive power predictions; vLamax and buffer capacity drive metabolite predictions. That a compact, 40-year-old equation system accounts for this breadth of metabolic phenomena suggests that a small number of regulatory feedback loops may suffice to explain a wide range of metabolic responses to exercise. MetaboliSim is freely available to enable independent testing, empirical calibration, and refinement.
PMID:
42804649
Bibliographic data and abstract were imported from PubMed on 29 Sep 2026.
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