ArticleInternational journal of women's health2026
Integrative Transcriptomic and Network Pharmacology Analysis Suggests Potential Mechanisms of Propofol in Early-Onset Preeclampsia.
Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: To investigate the mechanism of action of propofol in early-onset preeclampsia (EOPE). Patients and Methods: Integrated transcriptomics and network approaches were employed to screen disease targets, drug targets, and differentially expressed genes from the GSE74341 training set (7 EOPE, 5 controls) and GSE44711 validation set (8 EOPE, 8 controls). Signature genes were further selected using machine learning algorithms (LASSO, SVM, Boruta). Immune infiltration levels were evaluated via ssGSEA and their correlations with signature genes were analyzed. Molecular docking validation of binding affinity was performed using CB-DOCK2. The expression patterns of signature genes in EOPE patients were ultimately confirmed using RT-qPCR in a clinical cohort of 36 EOPE patients and 36 healthy pregnant women. Results: Nineteen potential intersection targets of propofol intervention in the EOPE were identified. Machine learning analysis further pinpointed three signature genes ( Conclusion: This study identifies
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