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Transcriptomic, Proteomic, and Morphologic Characterization of Healing in Volumetric Muscle Loss.

Authors :
Crum, Raphael John
Johnson, Scott A
Jiang, Peng
Jui, Jayati H
Zamora, Ruben
Cortes, Devin
Kulkarni, Mangesh
Prabahar, Archana
Bolin, Jennifer
Gann, Eric
Elster, Eric
Schobel, Seth A
Larie, Dale
Cockrell, Chase
An, Gary
Brown, Bryan
Hauskrecht, Milos
Vodovotz, Yoram
Badylak, Stephen F.
Source :
Tissue Engineering: Part A; 20220101, Issue: Preprints
Publication Year :
2022

Abstract

Skeletal muscle has a robust, inherent ability to regenerate in response to injury from acute to chronic. In severe trauma, however, complete regeneration is not possible, resulting in a permanent loss of skeletal muscle tissue referred to as volumetric muscle loss (VML). There are few consistently reliable therapeutic or surgical options to address VML. A major limitation in investigation of possible therapies is the absence of a well-characterized large animal model. Here, we present results of a comprehensive transcriptomic, proteomic, and morphologic characterization of wound healing following volumetric muscle loss in a novel canine model of VML which we compare to a nine-patient cohort of combat-associated VML. The canine model is translationally relevant as it provides both a regional (spatial) and temporal map of the wound healing processes that occur in human VML. Collectively, these data show the spatiotemporal transcriptomic, proteomic, and morphologic properties of canine VML healing as a framework and model system applicable to future studies investigating novel therapies for human VML.

Details

Language :
English
ISSN :
19373341 and 1937335X
Issue :
Preprints
Database :
Supplemental Index
Journal :
Tissue Engineering: Part A
Publication Type :
Periodical
Accession number :
ejs60665082
Full Text :
https://doi.org/10.1089/ten.TEA.2022.0113