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BDNF produced by cerebral microglia promotes cortical plasticity and pain hypersensitivity after peripheral nerve injury.

Lianyan Huang | Jianhua Jin | Kai Chen | Sikun You | Hongyang Zhang | Alexandra Sideris | Monica Norcini | Esperanza Recio-Pinto | Jing Wang | Wen-Biao Gan | Guang Yang
PLoS biology | 2021

Peripheral nerve injury-induced mechanical allodynia is often accompanied by abnormalities in the higher cortical regions, yet the mechanisms underlying such maladaptive cortical plasticity remain unclear. Here, we show that in male mice, structural and functional changes in the primary somatosensory cortex (S1) caused by peripheral nerve injury require neuron-microglial signaling within the local circuit. Following peripheral nerve injury, microglia in the S1 maintain ramified morphology and normal density but up-regulate the mRNA expression of brain-derived neurotrophic factor (BDNF). Using in vivo two-photon imaging and Cx3cr1CreER;Bdnfflox mice, we show that conditional knockout of BDNF from microglia prevents nerve injury-induced synaptic remodeling and pyramidal neuron hyperactivity in the S1, as well as pain hypersensitivity in mice. Importantly, S1-targeted removal of microglial BDNF largely recapitulates the beneficial effects of systemic BDNF depletion on cortical plasticity and allodynia. Together, these findings reveal a pivotal role of cerebral microglial BDNF in somatosensory cortical plasticity and pain hypersensitivity.

Pubmed ID: 34292944

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Associated grants

  • Agency: NIAAA NIH HHS, United States
    Id: R01 AA027108
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM115384
  • Agency: NINDS NIH HHS, United States
    Id: R21 NS106469
  • Agency: NIGMS NIH HHS, United States
    Id: R35 GM131765

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PRISM (tool)

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THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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