ArticleFrontiers in physiology2023
Analysis of metabolite and strain effects on cardiac cross-bridge dynamics using model linearisation techniques.
Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 3 citations in OpenAlex.
- Metabolite-sensitive cross-bridge models of human atria reveal the impact of diabetes on muscle mechanoenergetics.The Journal of physiology · 2026Article
- Human cardiac tissues produce lower contractile stress and exhibit slower cross-bridge cycling in type 2 diabetes.Cardiovascular diabetology · 2025Article
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5 authors at 1 institution in 1 country.
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Abstract
Multi-scale models of cardiac energetics are becoming crucial in better understanding the prevalent chronic diseases operating at the intersection of metabolic and cardiovascular dysfunction. Computationally efficient models of cardiac cross-bridge kinetics that are sensitive to changes in metabolite concentrations are necessary to simulate the effects of disease-induced changes in cellular metabolic state on cardiac mechanics across disparate spatial scales. While these models do currently exist, deeper analysis of how the modelling of metabolite effects and the assignment of strain dependence within the cross-bridge cycle affect the properties of the model is required. In this study, model linearisation techniques were used to simulate and interrogate the complex modulus of an ODE-based model of cross-bridge kinetics. Active complex moduli were measured from permeabilised rat cardiac trabeculae under five different metabolite conditions with varying ATP and P
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