Analysis of the mechanism of acute hypotension: bioinformatics-driven target screening and pathway mining

Corresponding author: Xianliang Wang, xlwang1981@126.com

DOI: 10.12201/bmr.202507.00047

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  Abstract: AIM: Based on multi-dimensional bioinformatics technology, the molecular pathological mechanism of acute hypotension is systematically analyzed. METHODS: Integrate the gene expression profile of the GEO database (GSE2401), use limma package (R software) to screen differential genes, and optimize targets through data dimensionality reduction (log2(FC)>1, P<0.05); further combine GO, KEGG and GSEA pathway enrichment and STRING-Cytoscape (MCODE, CytoHubba plug-in) to build a PPI network to mine core genes; realize the full-chain analysis of differential gene - functional pathway - protein interaction network. RESULTS: 676 differential genes (304 upregulated, 372 downregulated), ribosome structural components (Rps8, Rps27, Rpl35, etc.) and multiple pathways such as FOXO and cAMP were found to coordinate the regulation of acute hypotension. CONCLUSION: This study uses a low-cost and efficient bioinformatics analysis framework to reveal the association between ribosomal dysfunction, changes in insulin signal efficacy and blood pressure regulation, providing new ideas for targeted therapy.

  Key words: Acute Hypotension; GEO Database; Bioinformatics; Pathological Mechanism; Ribosome Dysfunction; Changes in insulin signal efficacy

  Submit time: 15 July 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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