Literature DB >> 33465385

A simple model of immune and muscle cell crosstalk during muscle regeneration.

Hristo V Kojouharov1, Benito M Chen-Charpentier1, Francisco J Solis2, Claudia Biguetti3, Marco Brotto4.   

Abstract

Muscle injury during aging predisposes skeletal muscles to increased damage due to reduced regenerative capacity. Some of the common causes of muscle injury are strains, while other causes are more complex muscle myopathies and other illnesses, and even excessive exercise can lead to muscle damage. We develop a new mathematical model based on ordinary differential equations of muscle regeneration. It includes the interactions between the immune system, healthy and damaged myonuclei as well as satellite cells. Our new mathematical model expands beyond previous ones by accounting for 21 specific parameters, including those parameters that deal with the interactions between the damaged and dead myonuclei, the immune system, and the satellite cells. An important assumption of our model is the replacement of only damaged parts of the muscle fibers and the dead myonuclei. We conduce systematic sensitivity analysis to determine which parameters have larger effects on the model and therefore are more influential for the muscle regeneration process. We propose additional validation for these parameters. We further demonstrate that these simulations are species-, muscle-, and age-dependent. In addition, the knowledge of these parameters and their interactions, may suggest targeting or selecting these interactions for treatments that accelerate the muscle regeneration process.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mathematical modeling; Muscle; Myotubes; Regeneration

Mesh:

Year:  2021        PMID: 33465385      PMCID: PMC8753861          DOI: 10.1016/j.mbs.2021.108543

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  24 in total

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Review 2.  The resolution code of acute inflammation: Novel pro-resolving lipid mediators in resolution.

Authors:  Charles N Serhan; Nan Chiang; Jesmond Dalli
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3.  Macrophage activation and skeletal muscle healing following traumatic injury.

Authors:  Margaret L Novak; Eileen M Weinheimer-Haus; Timothy J Koh
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4.  Proresolving lipid mediators resolvin D1, resolvin D2, and maresin 1 are critical in modulating T cell responses.

Authors:  Valerio Chiurchiù; Alessandro Leuti; Jesmond Dalli; Anders Jacobsson; Luca Battistini; Mauro Maccarrone; Charles N Serhan
Journal:  Sci Transl Med       Date:  2016-08-24       Impact factor: 17.956

5.  Using computer simulation models to investigate the most promising microRNAs to improve muscle regeneration during ageing.

Authors:  Carole J Proctor; Katarzyna Goljanek-Whysall
Journal:  Sci Rep       Date:  2017-09-26       Impact factor: 4.379

Review 6.  Muscle regeneration: cellular and molecular events.

Authors:  Maria Karalaki; Sofia Fili; Anastassios Philippou; Michael Koutsilieris
Journal:  In Vivo       Date:  2009 Sep-Oct       Impact factor: 2.155

7.  Prostaglandin E2 promotes proliferation of skeletal muscle myoblasts via EP4 receptor activation.

Authors:  Chenglin Mo; Ruonan Zhao; Julian Vallejo; Orisa Igwe; Lynda Bonewald; Lori Wetmore; Marco Brotto
Journal:  Cell Cycle       Date:  2015       Impact factor: 4.534

Review 8.  Age-related functional changes and susceptibility to eccentric contraction-induced damage in skeletal muscle cell.

Authors:  Seung-Jun Choi
Journal:  Integr Med Res       Date:  2016-05-20

9.  Multi-Staged Regulation of Lipid Signaling Mediators during Myogenesis by COX-1/2 Pathways.

Authors:  Chenglin Mo; Zhiying Wang; Lynda Bonewald; Marco Brotto
Journal:  Int J Mol Sci       Date:  2019-09-04       Impact factor: 5.923

10.  A mathematical model of skeletal muscle disease and immune response in the mdx mouse.

Authors:  Abdul Salam Jarrah; Filippo Castiglione; Nicholas P Evans; Robert W Grange; Reinhard Laubenbacher
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

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