Unraveling the mechanisms of propofol-induced psychological dependence: a multi-omics approach linked to gut microbiota in hippocampal function DOI Creative Commons
Li Wang, Tianyun Wang, Yu L. Lei

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 3, 2025

Drug abuse is becoming a global public health crisis. According to the United Nations, number of drug users worldwide has increased dramatically over past decade, with surge in abusers. The problem was exacerbated by expanding market for illicit drugs and increasing availability synthetic such as fentanyl. Clinical that requires particular attention, potential addictive properties some their mechanisms action are currently unknown, which limits development implementation addiction intervention strategies. Eight-week-old C57BL/6J mice were used study subjects. A mental dependence model established using conditional position preference experiment (CPP), hippocampal tissues subjected RNA-seq transcriptome sequencing, LC-MS non-targeted metabolome intestinal macro-genome sequencing order discover propofol signature genes. Correlation analyses transcriptomics metabolomics performed Spearman method, gene-metabolite networks mapped Cytoscape software. Real-time fluorescence quantitative PCR immunoprotein blotting (Western blotting) methods validate characterized After conditioned experiment, scores 75 mg/kg 2 g/kg alcohol groups significantly higher than those control saline group. 152 differential genes 214 metabolites identified Cluster analysis revealed changes neuroactive ligand receptor pathway most pronounced. Gut microbiomics assays significant five enterobacterial phyla (Campylobacter phylum, Thick-walled Anaplasma Actinobacteria Chlorella verticillata phylum) group, may be related expression dopamine. These findings suggest mind-dependent effect on biology through ligand-receptor interaction pathways conjunction tricarboxylic acid cycle, metabolic alanine, aspartate, glutamate influence microbial bidirectional signaling.

Language: Английский

Unraveling the mechanisms of propofol-induced psychological dependence: a multi-omics approach linked to gut microbiota in hippocampal function DOI Creative Commons
Li Wang, Tianyun Wang, Yu L. Lei

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 3, 2025

Drug abuse is becoming a global public health crisis. According to the United Nations, number of drug users worldwide has increased dramatically over past decade, with surge in abusers. The problem was exacerbated by expanding market for illicit drugs and increasing availability synthetic such as fentanyl. Clinical that requires particular attention, potential addictive properties some their mechanisms action are currently unknown, which limits development implementation addiction intervention strategies. Eight-week-old C57BL/6J mice were used study subjects. A mental dependence model established using conditional position preference experiment (CPP), hippocampal tissues subjected RNA-seq transcriptome sequencing, LC-MS non-targeted metabolome intestinal macro-genome sequencing order discover propofol signature genes. Correlation analyses transcriptomics metabolomics performed Spearman method, gene-metabolite networks mapped Cytoscape software. Real-time fluorescence quantitative PCR immunoprotein blotting (Western blotting) methods validate characterized After conditioned experiment, scores 75 mg/kg 2 g/kg alcohol groups significantly higher than those control saline group. 152 differential genes 214 metabolites identified Cluster analysis revealed changes neuroactive ligand receptor pathway most pronounced. Gut microbiomics assays significant five enterobacterial phyla (Campylobacter phylum, Thick-walled Anaplasma Actinobacteria Chlorella verticillata phylum) group, may be related expression dopamine. These findings suggest mind-dependent effect on biology through ligand-receptor interaction pathways conjunction tricarboxylic acid cycle, metabolic alanine, aspartate, glutamate influence microbial bidirectional signaling.

Language: Английский

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