Developmental stage-dependent neurotoxicity of sevoflurane: evidence from brain organoids

Niqi Chen1, Yanting Zhang1, Yeru Chen1,2

  • 1Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.

Insights

Sevoflurane anesthesia in children may affect brain development by disrupting progenitor zones and differentiation. Human brain organoids reveal dose-dependent neurotoxic mechanisms, aiding risk assessment for anesthetic planning.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Anesthesiology

Background:

  • Sevoflurane is a common pediatric anesthetic, but concerns exist regarding its impact on developing brains.
  • Experimental data suggest sevoflurane affects mitochondrial function, oxidative stress, and immune responses.

Purpose of the Study:

  • To review the developmental stage-dependent effects of sevoflurane on the brain.
  • To highlight the utility of human brain organoids in dissecting sevoflurane's neurotoxic mechanisms.
  • To propose a framework for understanding and stratifying sevoflurane neurotoxicity risk.

Main Methods:

  • Review of experimental data on sevoflurane's effects on neural development.
  • Analysis of studies using human brain organoids (cortical and midbrain-like) to model sevoflurane exposure.
  • Synthesis of molecular, cellular, and electrophysiological findings from organoid models.

Main Results:

  • Sevoflurane exposure in brain organoids alters progenitor zones, disrupts cell migration and division, and accelerates differentiation.
  • Organoids exhibit molecular and electrophysiological signatures of mitochondrial stress, iron dysregulation, and inflammation.
  • Exposure intensity and duration correlate with the severity of observed neurodevelopmental changes.

Conclusions:

  • Human brain organoids provide valuable in vitro models for studying sevoflurane's neurodevelopmental toxicity.
  • Findings from organoids parallel clinical observations of subtle neurocognitive deficits associated with prolonged or repeated anesthetic exposure.
  • Future organoid models with increased maturity and complexity, integrated with clinical data, can refine anesthetic risk assessment.