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Functional modular networks identify the pivotal genes associated with morphine addiction and potential drug therapies.
Jiang, Yage; Wei, Donglei; Xie, Yubo.
Afiliación
  • Jiang Y; Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
  • Wei D; Department of Traumatology Orthopedic Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
  • Xie Y; Department of Anesthesiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China. xybdoctor@163.com.
BMC Anesthesiol ; 23(1): 151, 2023 05 03.
Article en En | MEDLINE | ID: mdl-37138216
ABSTRACT

BACKGROUND:

Chronic morphine usage induces lasting molecular and microcellular adaptations in distinct brain areas, resulting in addiction-related behavioural abnormalities, drug-seeking, and relapse. Nonetheless, the mechanisms of action of the genes responsible for morphine addiction have not been exhaustively studied.

METHODS:

We obtained morphine addiction-related datasets from the Gene Expression Omnibus (GEO) database and screened for Differentially Expressed Genes (DEGs). Weighted Gene Co-expression Network Analysis (WGCNA) functional modularity constructs were analyzed for genes associated with clinical traits. Venn diagrams were filtered for intersecting common DEGs (CDEGs). Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for functional annotation. Protein-protein interaction network (PPI) and CytoHubba were used to screen for hub genes. Potential treatments for morphine addiction were figured out with the help of an online database.

RESULTS:

Sixty-five common differential genes linked to morphine addiction were identified, and functional enrichment analysis showed that they were primarily involved in ion channel activity, protein transport, the oxytocin signalling pathway, neuroactive ligand-receptor interactions, and other signalling pathways. Based on the PPI network, ten hub genes (CHN2, OLIG2, UGT8A, CACNB2, TIMP3, FKBP5, ZBTB16, TSC22D3, ISL1, and SLC2A1) were checked. In the data set GSE7762, all of the Area Under Curve (AUC) values for the hub gene Receiver Operating Characteristic (ROC) curves were greater than 0.8. We also used the DGIdb database to look for eight small-molecule drugs that might be useful for treating morphine addiction.

CONCLUSIONS:

The hub genes are crucial genes associated with morphine addiction in the mouse striatum. The oxytocin signalling pathway may play a vital role in developing morphine addiction.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Dependencia de Morfina Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Anesthesiol Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Dependencia de Morfina Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMC Anesthesiol Año: 2023 Tipo del documento: Article