Microglial pattern recognition via IL-33 promotes synaptic refinement in developing corticothalamic circuits in mice.
Rafael T HanIlia Davidovich VainchteinJohannes C M SchlachetzkiFrances S ChoLeah C DormanEunji AhnDong Kyu KimJerika J BarronHiromi Nakao-InoueAri B MolofskyChristopher K GlassJeanne Saraiva da PazAnna Victoria MolofskyPublished in: The Journal of experimental medicine (2022)
Microglia are critical regulators of brain development that engulf synaptic proteins during postnatal synapse remodeling. However, the mechanisms through which microglia sense the brain environment are not well defined. Here, we characterized the regulatory program downstream of interleukin-33 (IL-33), a cytokine that promotes microglial synapse remodeling. Exposing the developing brain to a supraphysiological dose of IL-33 altered the microglial enhancer landscape and increased binding of stimulus-dependent transcription factors including AP-1/FOS. This induced a gene expression program enriched for the expression of pattern recognition receptors, including the scavenger receptor MARCO. CNS-specific deletion of IL-33 led to increased excitatory/inhibitory synaptic balance, spontaneous absence-like epileptiform activity in juvenile mice, and increased seizure susceptibility in response to chemoconvulsants. We found that MARCO promoted synapse engulfment, and Marco-deficient animals had excess thalamic excitatory synapses and increased seizure susceptibility. Taken together, these data define coordinated epigenetic and functional changes in microglia and uncover pattern recognition receptors as potential regulators of postnatal synaptic refinement.
Keyphrases
- transcription factor
- inflammatory response
- neuropathic pain
- gene expression
- resting state
- lipopolysaccharide induced
- white matter
- prefrontal cortex
- lps induced
- dna methylation
- binding protein
- dna binding
- functional connectivity
- preterm infants
- quality improvement
- poor prognosis
- high fat diet induced
- spinal cord injury
- deep brain stimulation
- high glucose
- multiple sclerosis
- machine learning
- climate change
- long non coding rna
- insulin resistance
- risk assessment
- deep learning
- skeletal muscle
- artificial intelligence
- temporal lobe epilepsy