Repopulated spinal cord microglia exhibit a unique transcriptome and contribute to pain resolution

Lauren J Donovan1, Caldwell M Bridges1, Amy R Nippert1

  • 1Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA 94305, USA.

Cell Reports
|January 23, 2024
PubMed

Insights

Transiently depleting microglia unexpectedly led to pain resolution upon their repopulation. Repopulated microglia exhibit distinct molecular profiles, offering new therapeutic targets for pain management.

Area of Science:

  • Neuroscience
  • Immunology
  • Pain Research

Background:

  • Microglia, the immune cells of the central nervous system, are traditionally viewed as detrimental in pain.
  • However, microglia exist in diverse states that can influence both homeostasis and pathology.
  • Their precise role in pain progression requires further elucidation.

Purpose of the Study:

  • To investigate the specific contribution of microglia to pain progression using a temporally controlled depletion model.
  • To identify molecular signatures of microglia associated with pain resolution.

Main Methods:

  • Utilized a temporally controlled transgenic approach for transient microglial depletion in a mouse pain model.
  • Analyzed morphological and transcriptomic changes in repopulated microglia.
  • Intersected mouse gene data with human single-nuclei microglial datasets.

Main Results:

  • Complete pain resolution was observed coinciding with microglial repopulation, not depletion.
  • Repopulated microglia displayed distinct morphology and transcriptomes compared to control microglia.
  • Overlapping gene networks related to phagocytosis and stress response were identified in repopulated microglia from both sexes.
  • Identified human-relevant genes associated with potential pain resolution.

Conclusions:

  • Microglial repopulation, rather than depletion, can lead to pain resolution.
  • Repopulated microglia possess unique molecular characteristics that may be key to pain relief.
  • This study provides valuable datasets for developing novel microglial-targeted therapeutics for pain management.