Microglia facilitate and stabilize the response to general anesthesia via modulating the neuronal network in a brain region-specific manner.
Yang HeTaohui LiuQuansheng HeWei KeXiaoyu LiJinjin DuSuixin DengZhenfeng ShuJialin WuBaozhi YangYuqing WangYing MaoYanxia RaoYousheng ShuBo PengPublished in: eLife (2023)
General anesthesia leads to a loss of consciousness and an unrousable state in patients. Although general anesthetics are widely used in clinical practice, their underlying mechanisms remain elusive. The potential involvement of nonneuronal cells is unknown. Microglia are important immune cells in the central nervous system (CNS) that play critical roles in CNS function and dysfunction. We unintentionally observed delayed anesthesia induction and early anesthesia emergence in microglia-depleted mice. We found that microglial depletion differentially regulates neuronal activities by suppressing the neuronal network of anesthesia-activated brain regions and activating emergence-activated brain regions. Thus, microglia facilitate and stabilize the anesthesia status. This influence is not mediated by dendritic spine plasticity. Instead, it relies on the activation of microglial P2Y12 and subsequent calcium influx, which facilitates the general anesthesia response. Together, we elucidate the regulatory role of microglia in general anesthesia, extending our knowledge of how nonneuronal cells modulate neuronal activities.
Keyphrases
- inflammatory response
- neuropathic pain
- cerebral ischemia
- induced apoptosis
- resting state
- blood brain barrier
- lipopolysaccharide induced
- white matter
- cell cycle arrest
- signaling pathway
- lps induced
- end stage renal disease
- clinical practice
- subarachnoid hemorrhage
- spinal cord injury
- functional connectivity
- spinal cord
- newly diagnosed
- chronic kidney disease
- healthcare
- endoplasmic reticulum stress
- brain injury
- multiple sclerosis
- peritoneal dialysis
- cell death
- risk assessment
- metabolic syndrome
- patient reported outcomes
- adipose tissue
- climate change
- network analysis