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

Authors :
Crum RJ
Johnson SA
Jiang P
Jui JH
Zamora R
Cortes D
Kulkarni M
Prabahar A
Bolin J
Gann E
Elster E
Schobel SA
Larie D
Cockrell C
An G
Brown B
Hauskrecht M
Vodovotz Y
Badylak SF
Source :
Tissue engineering. Part A [Tissue Eng Part A] 2022 Dec; Vol. 28 (23-24), pp. 941-957. Date of Electronic Publication: 2022 Oct 11.
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. In this study, we present results of a comprehensive transcriptomic, proteomic, and morphologic characterization of wound healing following VML 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. Impact Statement The spatiotemporal transcriptomic, proteomic, and morphologic properties of canine volumetric muscle loss (VML) healing is a translational framework and model system applicable to future studies investigating novel therapies for human VML.

Details

Language :
English
ISSN :
1937-335X
Volume :
28
Issue :
23-24
Database :
MEDLINE
Journal :
Tissue engineering. Part A
Publication Type :
Academic Journal
Accession number :
36039923
Full Text :
https://doi.org/10.1089/ten.TEA.2022.0113