Multi-omics analysis reveals sevoflurane exacerbates cognitive impairment in diabetic mice by disrupting lipid metabolism

X Xinyue Liu F Fang Wang C Chang Liu K Kai Yu Y Yuqin Wang (Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden) G Guoqing Zhao

Abstract

Abstract Diabetes-associated cognitive dysfunction represents a global health challenge, yet the mechanisms by which anesthetics modulate cognitive function in diabetic states remain poorly understood. We systematically compared the effects of 2-hour brief exposure to sevoflurane (SEV) and propofol (PRO) on cognitive function and neuropathology in streptozotocin (STZ) -induced diabetic mice. Morris water maze and Y-maze tests revealed that SEV significantly exacerbated spatial memory and learning deficits in mice, while PRO showed no significant effects. Additionally, diabetic mice exhibited reduced NeuN + neurons, increased β-amyloid deposition, and decreased SYN expression in the hippocampal CA1 region as examined by Immuno-fluorescence staining. Neither short-term SEV nor PRO exposure aggravated neuronal structural damage. Further transcriptomics revealed both anesthetics affected hippocampal neuron differentiation, but SEV uniquely perturbed fatty acid metabolism pathways. Metabolomics identified SEV-induced disruptions in lipid metabolism, marked by elevated hippocampal free fatty acids, phospholipids, as well as reduced lysophospholipids and acylcarnitine. Integrated multi-omics analysis demonstrated that SEV impaired cognition by suppressing fatty acid oxidation and dysregulating glycerophospholipid metabolism. These findings highlight the critical impact of anesthetic selection in diabetic populations.

Article Details

Volume / Issue Vol. 16, Issue 1
Published March 05, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (6)

X

Xinyue Liu

F

Fang Wang

C

Chang Liu

K

Kai Yu

Y

Yuqin Wang

Shanghai Key Laboratory of Plant Functional Genomics and Resources, Shanghai Chenshan Botanical Garden

G

Guoqing Zhao