Key result
Multi-scale computational modeling of sarcomeric mutations in troponin and tropomyosin provides insights into the molecular and cellular mechanisms underlying dilated cardiomyopathy.
Multi-scale computational modeling is essential to bridge the spatial and temporal gaps between molecular mutations in sarcomeric proteins and the cellular or organ-level phenotype of dilated cardiomyopathy.
These modeling insights remain preclinical; leaves open translation to DCM therapies pending validation.
Dilated Cardiomyopathy (DCM) is a leading cause of sudden cardiac death characterized by impaired pump function and dilatation of cardiac ventricles. In this review we discuss various in silico approaches to elucidating the mechanisms of genetic mutations leading to DCM. The approaches covered in this review focus on bridging the spatial and temporal gaps that exist between molecular and cellular processes. Mutations in sarcomeric regulatory thin filament proteins such as the troponin complex (cTn) and Tropomyosin (Tm) have been associated with DCM. Despite the experimentally-observed myofilament measures of contractility in the case of these mutations, the mechanisms by which the underlying molecular changes and protein interactions scale up to organ failure by these mutations remains elusive. The review highlights multi-scale modeling approaches and their applicability to study the effects of sarcomeric gene mutations in-silico. We discuss some of the insights that can be gained from computational models of cardiac biomechanics when scaling from molecular states to cellular level.
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Dewan et al. (2017) conducted a review in Dilated Cardiomyopathy. Multi-scale computational modeling was evaluated. Multi-scale computational modeling of sarcomeric mutations in troponin and tropomyosin provides insights into the molecular and cellular mechanisms underlying dilated cardiomyopathy.
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