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

Authors :
Raphael J. Crum
Scott A. Johnson
Peng Jiang
Jayati H. Jui
Ruben Zamora
Devin Cortes
Mangesh Kulkarni
Archana Prabahar
Jennifer Bolin
Eric Gann
Eric Elster
Seth A. Schobel
Dale Larie
Chase Cockrell
Gary An
Bryan Brown
Milos Hauskrecht
Yoram Vodovotz
Stephen F. Badylak
Source :
Tissue Engineering Part A. 28:941-957
Publication Year :
2022
Publisher :
Mary Ann Liebert Inc, 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

ISSN :
1937335X and 19373341
Volume :
28
Database :
OpenAIRE
Journal :
Tissue Engineering Part A
Accession number :
edsair.doi.dedup.....8c8c5e088df652371e7a77d479b08ff2