{"title":"Modeling the role of ATP metabolism in articular cartilage and osteoarthritis","authors":"Dhruba Jyoti Mech, Mohd Suhail Rizvi","doi":"10.1016/j.biosystems.2025.105597","DOIUrl":null,"url":null,"abstract":"<div><div>Osteoarthritis, a prevalent degenerative joint disease, is characterized by progressive degradation of articular cartilage. The avascular nature of articular cartilage makes it vulnerable to metabolic disruptions under hypoxic conditions. Central to this process is the role of ATP metabolism in chondrocytes, which generally maintains a delicate balance between glycolysis and oxidative phosphorylation. To investigate the balance between these two mechanisms and their regulation, we developed a comprehensive mathematical model simulating ATP metabolism in chondrocytes. The model incorporates key metabolic regulators, capturing the bistable switching between glycolysis and oxidative phosphorylation under varying nutrient conditions. Our simulation also accounts for stochastic fluctuations in oxygen and glucose levels, mimicking physiological conditions during mechanical loading, and their impact on articular cartilage dynamics. The results demonstrate that chronic hypoxia induces an irreversible metabolic shift to glycolysis, leading to sustained reductions in ATP levels and progressive ECM loss. Interestingly, the model predicts that physiological stochasticity in oxygen levels, representative of mechanical loading during physical activity, enhances metabolic flexibility and promotes ATP synthesis. When testing therapeutic interventions, we found that while exogenous ECM supplementation provides transient matrix restoration, only approaches targeting metabolic dysfunction — either through enhanced ATP synthesis or controlled suppression of regulatory factors — successfully reverse the pathological glycolytic shift. Our model suggests that optimal therapeutic approaches should combine ATP metabolic modulation with structural support to maintain beneficial nutrient fluctuations. The framework provides a basis for the development of personalized treatment strategies that address both the metabolic and structural aspects of osteoarthritis, offering new possibilities for restoring cartilage homeostasis and preventing disease progression.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"257 ","pages":"Article 105597"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264725002072","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Osteoarthritis, a prevalent degenerative joint disease, is characterized by progressive degradation of articular cartilage. The avascular nature of articular cartilage makes it vulnerable to metabolic disruptions under hypoxic conditions. Central to this process is the role of ATP metabolism in chondrocytes, which generally maintains a delicate balance between glycolysis and oxidative phosphorylation. To investigate the balance between these two mechanisms and their regulation, we developed a comprehensive mathematical model simulating ATP metabolism in chondrocytes. The model incorporates key metabolic regulators, capturing the bistable switching between glycolysis and oxidative phosphorylation under varying nutrient conditions. Our simulation also accounts for stochastic fluctuations in oxygen and glucose levels, mimicking physiological conditions during mechanical loading, and their impact on articular cartilage dynamics. The results demonstrate that chronic hypoxia induces an irreversible metabolic shift to glycolysis, leading to sustained reductions in ATP levels and progressive ECM loss. Interestingly, the model predicts that physiological stochasticity in oxygen levels, representative of mechanical loading during physical activity, enhances metabolic flexibility and promotes ATP synthesis. When testing therapeutic interventions, we found that while exogenous ECM supplementation provides transient matrix restoration, only approaches targeting metabolic dysfunction — either through enhanced ATP synthesis or controlled suppression of regulatory factors — successfully reverse the pathological glycolytic shift. Our model suggests that optimal therapeutic approaches should combine ATP metabolic modulation with structural support to maintain beneficial nutrient fluctuations. The framework provides a basis for the development of personalized treatment strategies that address both the metabolic and structural aspects of osteoarthritis, offering new possibilities for restoring cartilage homeostasis and preventing disease progression.
期刊介绍:
BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.