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

Tissue Eng Part A. 2022 Dec;28(23-24):941-957. doi: 10.1089/ten.TEA.2022.0113. Epub 2022 Oct 11.

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.

Keywords: regenerative medicine; tissue engineering; volumetric muscle loss; wound healing.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Dogs
  • Humans
  • Muscle, Skeletal / injuries
  • Muscular Diseases* / therapy
  • Proteomics
  • Regeneration / physiology
  • Transcriptome* / genetics
  • Wound Healing / genetics