Next-generation RNA sequencing elucidates transcriptomic signatures of pathophysiologic nerve regeneration

Sci Rep. 2023 May 31;13(1):8856. doi: 10.1038/s41598-023-35606-6.

Abstract

The cellular and molecular underpinnings of Wallerian degeneration have been robustly explored in laboratory models of successful nerve regeneration. In contrast, there is limited interrogation of failed regeneration, which is the challenge facing clinical practice. Specifically, we lack insight on the pathophysiologic mechanisms that lead to the formation of neuromas-in-continuity (NIC). To address this knowledge gap, we have developed and validated a novel basic science model of rapid-stretch nerve injury, which provides a biofidelic injury with NIC development and incomplete neurologic recovery. In this study, we applied next-generation RNA sequencing to elucidate the temporal transcriptional landscape of pathophysiologic nerve regeneration. To corroborate genetic analysis, nerves were subject to immunofluorescent staining for transcripts representative of the prominent biological pathways identified. Pathophysiologic nerve regeneration produces substantially altered genetic profiles both temporally and in the mature neuroma microenvironment, in contrast to the coordinated genetic signatures of Wallerian degeneration and successful regeneration. To our knowledge, this study presents as the first transcriptional study of NIC pathophysiology and has identified cellular death, fibrosis, neurodegeneration, metabolism, and unresolved inflammatory signatures that diverge from pathways elaborated by traditional models of successful nerve regeneration.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Humans
  • Nerve Regeneration / genetics
  • Nerve Tissue* / metabolism
  • Neuroma* / pathology
  • Peripheral Nerve Injuries* / genetics
  • Peripheral Nerve Injuries* / pathology
  • Sciatic Nerve / injuries
  • Sequence Analysis, RNA
  • Transcriptome
  • Tumor Microenvironment
  • Wallerian Degeneration / metabolism