NeuroHeal Improves Muscle Regeneration After Injury

Overview

Journal Cells

Publisher MDPI

Specialties Biochemistry
Biophysics
Cell Biology
Molecular Biology

Date 2020 Dec 30

PMID 33374379

Citations 1

Authors

Sara Marmolejo-Martinez-Artesero

David Romeo-Guitart

Vanesa Venegas

Mario Marotta

Caty Casas

Affiliations

Soon will be listed here.

Abstract

Musculoskeletal injuries represent a challenging medical problem. Although the skeletal muscle is able to regenerate and recover after injury, the process engaged with conservative therapy can be inefficient, leading to a high re-injury rate. In addition, the formation of scar tissue implies an alteration of mechanical properties in muscle. There is still a need for new treatments of the injured muscle. NeuroHeal may be one option. Published studies demonstrated that it reduces muscle atrophy due to denervation and disuse. The main objective of the present work was to assess the potential of NeuroHeal to improve muscle regeneration after traumatic injury. Secondary objectives included characterizing the effect of NeuroHeal treatment on satellite cell biology. We used a rat model of sport-induced injury in the gastrocnemius and analyzed the effects of NeuroHeal on functional recovery by means of electrophysiology and tetanic force analysis. These studies were accompanied by immunohistochemistry of the injured muscle to analyze fibrosis, satellite cell state, and fiber type. In addition, we used an in vitro model to determine the effect of NeuroHeal on myoblast biology and partially decipher its mechanism of action. The results showed that NeuroHeal treatment advanced muscle fiber recovery after injury in a preclinical model of muscle injury, and significantly reduced the formation of scar tissue. In vitro, we observed that NeuroHeal accelerated the formation of myotubes. The results pave the way for novel therapeutic avenues for muscle/tendinous disorders.

Citing Articles

Introduction to the Special Issue "Skeletal Muscle Atrophy: Mechanisms at a Cellular Level".

Zuccaro E, Marchioretti C, Pirazzini M, Pennuto M Cells. 2023; 12(3).

PMID: 36766844 PMC: 9914442. DOI: 10.3390/cells12030502.

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