Duchenne and Becker muscular dystrophy: Cellular mechanisms, image analysis, and computational models: A review

J. F. Escobar-Huertas, Juan Jairo Vaca-González, Johana María Guevara, Angelica M. Ramirez-Martinez, Olfa Trabelsi, D. A. Garzón-Alvarado

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

The muscle is the principal tissue that is capable to transform potential energy into kinetic energy. This process is due to the transformation of chemical energy into mechanical energy to enhance the movements and all the daily activities. However, muscular tissues can be affected by some pathologies associated with genetic alterations that affect the expression of proteins. As the muscle is a highly organized structure in which most of the signaling pathways and proteins are related to one another, pathologies may overlap. Duchenne muscular dystrophy (DMD) is one of the most severe muscle pathologies triggering degeneration and muscle necrosis. Several mathematical models have been developed to predict muscle response to different scenarios and pathologies. The aim of this review is to describe DMD and Becker muscular dystrophy in terms of cellular behavior and molecular disorders and to present an overview of the computational models implemented to understand muscle behavior with the aim of improving regenerative therapy.

Original languageEnglish
Pages (from-to)269-286
Number of pages18
JournalCytoskeleton
Volume81
Issue number6-7
DOIs
StatePublished - 01 Jun 2024

Keywords

  • Duchenne muscular dystrophy
  • computational models for muscle
  • muscle degeneration
  • muscle dystrophy

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