Gut microbiota promotes pain chronicity in Myosin1A deficient male mice

Ana Reynders1, Z Anissa Jhumka1, Stéphane Gaillard2

  • 1Aix-Marseille-Université, CNRS, Institut de Biologie du Développement de Marseille, Marseille, France.

Insights

Loss of Myosin1a in male mice causes chronic pain via gut microbiota changes. Antibiotic treatment and dorsal root ganglia macrophage depletion reversed this pain, revealing gene-sex-microbiota interactions.

Area of Science:

  • Neuroscience
  • Immunology
  • Microbiology

Background:

  • Chronic pain is a significant health burden with limited treatments.
  • The gut microbiota's role in nervous system health is increasingly recognized.
  • The gut microbiota's contribution to chronic pain pathogenesis is not well understood.

Purpose of the Study:

  • To investigate the role of Myosin1a (MYO1A) in chronic pain development.
  • To explore the influence of gut microbiota alterations in chronic pain.
  • To identify cellular mechanisms underlying pain chronicity in MYO1A-deficient mice.

Main Methods:

  • Generation of Myosin1a knockout (KO) mice under single genotype housing conditions (KO-SGH).
  • Induction of peripheral tissue injury to assess pain chronicity.
  • Analysis of gut microbiota composition, gene expression in dorsal root ganglia (DRG) macrophages, and macrophage depletion studies.

Main Results:

  • Male KO-SGH mice, but not females, developed chronic pain after injury.
  • MYO1A loss-of-function altered gut microbiota composition, linking dysbiosis to pain vulnerability.
  • Parental antibiotic treatment normalized microbiota and rescued pain chronicity in male KO-SGH offspring.
  • DRG macrophages (CD206+CD163- and CD206+CD163+) were identified as key players, with their depletion rescuing pain.

Conclusions:

  • Gene-sex-microbiota interactions influence susceptibility to injury-induced chronic pain.
  • Gut microbiota dysbiosis in MYO1A-deficient males contributes to chronic pain.
  • DRG macrophages play a detrimental role in this pain model and represent potential therapeutic targets.

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