Unraveling the mechanisms of propofol-induced psychological dependence: a multi-omics approach linked to gut microbiota in hippocampal function
Drug abuse is becoming a global public health crisis. According to the United Nations, the number of drug users worldwide has increased dramatically over the past decade, with a surge in the number of drug abusers. The problem was exacerbated by the expanding market for illicit drugs and the increas...
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Published in | Frontiers in medicine Vol. 12; p. 1539467 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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03.04.2025
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ISSN | 2296-858X 2296-858X |
DOI | 10.3389/fmed.2025.1539467 |
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Abstract | Drug abuse is becoming a global public health crisis. According to the United Nations, the number of drug users worldwide has increased dramatically over the past decade, with a surge in the number of drug abusers. The problem was exacerbated by the expanding market for illicit drugs and the increasing availability of synthetic drugs such as fentanyl. Clinical drug abuse is a problem that requires particular attention, and the potential addictive properties of some drugs and their mechanisms of action are currently unknown, which limits the development and implementation of drug addiction intervention strategies.
Eight-week-old C57BL/6J mice were used as study subjects. A mental dependence model was established using the conditional position preference experiment (CPP), and the hippocampal tissues of the model mice were subjected to RNA-seq transcriptome sequencing, LC-MS non-targeted metabolome sequencing, and intestinal macro-genome sequencing in order to discover propofol mental dependence signature genes. Correlation analyses of transcriptomics and metabolomics were performed using the Spearman method, and gene-metabolite networks were mapped using Cytoscape software. Real-time fluorescence quantitative PCR and immunoprotein blotting (Western blotting) methods were used to validate the characterized genes.
After the conditioned position preference experiment, the conditioned preference scores of the 75 mg/kg propofol and 2 g/kg alcohol groups were significantly higher than those of the control saline group. 152 differential genes and 214 differential metabolites were identified in the 75 mg/kg group. Cluster analysis revealed that changes in the neuroactive ligand receptor pathway were most pronounced. Gut microbiomics assays revealed significant changes in five differential enterobacterial phyla (
,
,
,
, and
) in the 75 mg/kg propofol group, which may be related to changes in the differential expression of dopamine.
These findings suggest that 75 mg/kg propofol has a significant mind-dependent effect on the biology of drug addiction through neuroactive ligand-receptor interaction pathways in conjunction with the tricarboxylic acid cycle, and the metabolic pathways of alanine, aspartate, and glutamate that may influence intestinal microbial changes through bidirectional signaling. |
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AbstractList | Drug abuse is becoming a global public health crisis. According to the United Nations, the number of drug users worldwide has increased dramatically over the past decade, with a surge in the number of drug abusers. The problem was exacerbated by the expanding market for illicit drugs and the increasing availability of synthetic drugs such as fentanyl. Clinical drug abuse is a problem that requires particular attention, and the potential addictive properties of some drugs and their mechanisms of action are currently unknown, which limits the development and implementation of drug addiction intervention strategies.IntroductionDrug abuse is becoming a global public health crisis. According to the United Nations, the number of drug users worldwide has increased dramatically over the past decade, with a surge in the number of drug abusers. The problem was exacerbated by the expanding market for illicit drugs and the increasing availability of synthetic drugs such as fentanyl. Clinical drug abuse is a problem that requires particular attention, and the potential addictive properties of some drugs and their mechanisms of action are currently unknown, which limits the development and implementation of drug addiction intervention strategies.Eight-week-old C57BL/6J mice were used as study subjects. A mental dependence model was established using the conditional position preference experiment (CPP), and the hippocampal tissues of the model mice were subjected to RNA-seq transcriptome sequencing, LC-MS non-targeted metabolome sequencing, and intestinal macro-genome sequencing in order to discover propofol mental dependence signature genes. Correlation analyses of transcriptomics and metabolomics were performed using the Spearman method, and gene-metabolite networks were mapped using Cytoscape software. Real-time fluorescence quantitative PCR and immunoprotein blotting (Western blotting) methods were used to validate the characterized genes.MethodsEight-week-old C57BL/6J mice were used as study subjects. A mental dependence model was established using the conditional position preference experiment (CPP), and the hippocampal tissues of the model mice were subjected to RNA-seq transcriptome sequencing, LC-MS non-targeted metabolome sequencing, and intestinal macro-genome sequencing in order to discover propofol mental dependence signature genes. Correlation analyses of transcriptomics and metabolomics were performed using the Spearman method, and gene-metabolite networks were mapped using Cytoscape software. Real-time fluorescence quantitative PCR and immunoprotein blotting (Western blotting) methods were used to validate the characterized genes.After the conditioned position preference experiment, the conditioned preference scores of the 75 mg/kg propofol and 2 g/kg alcohol groups were significantly higher than those of the control saline group. 152 differential genes and 214 differential metabolites were identified in the 75 mg/kg group. Cluster analysis revealed that changes in the neuroactive ligand receptor pathway were most pronounced. Gut microbiomics assays revealed significant changes in five differential enterobacterial phyla (Campylobacter phylum, Thick-walled phylum, Anaplasma phylum, Actinobacteria phylum, and Chlorella verticillata phylum) in the 75 mg/kg propofol group, which may be related to changes in the differential expression of dopamine.ResultsAfter the conditioned position preference experiment, the conditioned preference scores of the 75 mg/kg propofol and 2 g/kg alcohol groups were significantly higher than those of the control saline group. 152 differential genes and 214 differential metabolites were identified in the 75 mg/kg group. Cluster analysis revealed that changes in the neuroactive ligand receptor pathway were most pronounced. Gut microbiomics assays revealed significant changes in five differential enterobacterial phyla (Campylobacter phylum, Thick-walled phylum, Anaplasma phylum, Actinobacteria phylum, and Chlorella verticillata phylum) in the 75 mg/kg propofol group, which may be related to changes in the differential expression of dopamine.These findings suggest that 75 mg/kg propofol has a significant mind-dependent effect on the biology of drug addiction through neuroactive ligand-receptor interaction pathways in conjunction with the tricarboxylic acid cycle, and the metabolic pathways of alanine, aspartate, and glutamate that may influence intestinal microbial changes through bidirectional signaling.DiscussionThese findings suggest that 75 mg/kg propofol has a significant mind-dependent effect on the biology of drug addiction through neuroactive ligand-receptor interaction pathways in conjunction with the tricarboxylic acid cycle, and the metabolic pathways of alanine, aspartate, and glutamate that may influence intestinal microbial changes through bidirectional signaling. IntroductionDrug abuse is becoming a global public health crisis. According to the United Nations, the number of drug users worldwide has increased dramatically over the past decade, with a surge in the number of drug abusers. The problem was exacerbated by the expanding market for illicit drugs and the increasing availability of synthetic drugs such as fentanyl. Clinical drug abuse is a problem that requires particular attention, and the potential addictive properties of some drugs and their mechanisms of action are currently unknown, which limits the development and implementation of drug addiction intervention strategies.MethodsEight-week-old C57BL/6J mice were used as study subjects. A mental dependence model was established using the conditional position preference experiment (CPP), and the hippocampal tissues of the model mice were subjected to RNA-seq transcriptome sequencing, LC–MS non-targeted metabolome sequencing, and intestinal macro-genome sequencing in order to discover propofol mental dependence signature genes. Correlation analyses of transcriptomics and metabolomics were performed using the Spearman method, and gene-metabolite networks were mapped using Cytoscape software. Real-time fluorescence quantitative PCR and immunoprotein blotting (Western blotting) methods were used to validate the characterized genes.ResultsAfter the conditioned position preference experiment, the conditioned preference scores of the 75 mg/kg propofol and 2 g/kg alcohol groups were significantly higher than those of the control saline group. 152 differential genes and 214 differential metabolites were identified in the 75 mg/kg group. Cluster analysis revealed that changes in the neuroactive ligand receptor pathway were most pronounced. Gut microbiomics assays revealed significant changes in five differential enterobacterial phyla (Campylobacter phylum, Thick-walled phylum, Anaplasma phylum, Actinobacteria phylum, and Chlorella verticillata phylum) in the 75 mg/kg propofol group, which may be related to changes in the differential expression of dopamine.DiscussionThese findings suggest that 75 mg/kg propofol has a significant mind-dependent effect on the biology of drug addiction through neuroactive ligand-receptor interaction pathways in conjunction with the tricarboxylic acid cycle, and the metabolic pathways of alanine, aspartate, and glutamate that may influence intestinal microbial changes through bidirectional signaling. Drug abuse is becoming a global public health crisis. According to the United Nations, the number of drug users worldwide has increased dramatically over the past decade, with a surge in the number of drug abusers. The problem was exacerbated by the expanding market for illicit drugs and the increasing availability of synthetic drugs such as fentanyl. Clinical drug abuse is a problem that requires particular attention, and the potential addictive properties of some drugs and their mechanisms of action are currently unknown, which limits the development and implementation of drug addiction intervention strategies. Eight-week-old C57BL/6J mice were used as study subjects. A mental dependence model was established using the conditional position preference experiment (CPP), and the hippocampal tissues of the model mice were subjected to RNA-seq transcriptome sequencing, LC-MS non-targeted metabolome sequencing, and intestinal macro-genome sequencing in order to discover propofol mental dependence signature genes. Correlation analyses of transcriptomics and metabolomics were performed using the Spearman method, and gene-metabolite networks were mapped using Cytoscape software. Real-time fluorescence quantitative PCR and immunoprotein blotting (Western blotting) methods were used to validate the characterized genes. After the conditioned position preference experiment, the conditioned preference scores of the 75 mg/kg propofol and 2 g/kg alcohol groups were significantly higher than those of the control saline group. 152 differential genes and 214 differential metabolites were identified in the 75 mg/kg group. Cluster analysis revealed that changes in the neuroactive ligand receptor pathway were most pronounced. Gut microbiomics assays revealed significant changes in five differential enterobacterial phyla ( , , , , and ) in the 75 mg/kg propofol group, which may be related to changes in the differential expression of dopamine. These findings suggest that 75 mg/kg propofol has a significant mind-dependent effect on the biology of drug addiction through neuroactive ligand-receptor interaction pathways in conjunction with the tricarboxylic acid cycle, and the metabolic pathways of alanine, aspartate, and glutamate that may influence intestinal microbial changes through bidirectional signaling. |
Author | Wu, Qiong Wang, Li Wang, Haiyan Wu, Zhijing Su, Yudong Lin, Yuxin Wang, Tangyi Zhang, Shoude Lei, Yadian |
AuthorAffiliation | 1 Department of Basic Medical Sciences, Qinghai University Medical College , Xining, Qinghai , China 2 State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University , Xining, Qinghai , China 3 Research Center for High Altitude Medicine, Qinghai University , Xining, Qinghai , China 4 Key Laboratory of the Ministry of High Altitude Medicine, Qinghai University , Xining, Qinghai , China |
AuthorAffiliation_xml | – name: 4 Key Laboratory of the Ministry of High Altitude Medicine, Qinghai University , Xining, Qinghai , China – name: 3 Research Center for High Altitude Medicine, Qinghai University , Xining, Qinghai , China – name: 2 State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University , Xining, Qinghai , China – name: 1 Department of Basic Medical Sciences, Qinghai University Medical College , Xining, Qinghai , China |
Author_xml | – sequence: 1 givenname: Li surname: Wang fullname: Wang, Li – sequence: 2 givenname: Tangyi surname: Wang fullname: Wang, Tangyi – sequence: 3 givenname: Yadian surname: Lei fullname: Lei, Yadian – sequence: 4 givenname: Yudong surname: Su fullname: Su, Yudong – sequence: 5 givenname: Yuxin surname: Lin fullname: Lin, Yuxin – sequence: 6 givenname: Zhijing surname: Wu fullname: Wu, Zhijing – sequence: 7 givenname: Qiong surname: Wu fullname: Wu, Qiong – sequence: 8 givenname: Shoude surname: Zhang fullname: Zhang, Shoude – sequence: 9 givenname: Haiyan surname: Wang fullname: Wang, Haiyan |
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Keywords | psychiatric dependence transcriptomics gut microbes hippocampus metabolomics propofol |
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