Analysis of hemolysis-associated acute myeloid leukemia genes obtained using weighted gene co-expression network analysis and a Mendelian randomization study

• DOI: 10.1007/s44313-025-00073-7
• Publication Date: 2025-04-11T08:22:31Z
• Authors: Rui Zhang; Yan Zang; Linguo Wan; Hui Yu; Zhanshan Cha; Haihui Gu
• Keywords: Mendelian Randomization; Gene co-expression network

Abstract Purpose We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) their causal relationship with hemolysis, explore a new direction for molecular biology research of AML. Methods first differentially analyzed peripheral blood samples from 62 healthy volunteers 65 patients AML Gene Expression Omnibus database obtain expressed (DEGs), intersected them sourced weighted gene co-expression network (WGCNA) GeneCards target genes. Target were screened using protein–protein interaction (PPI) ROC curves identify associated Finally, we correlation between immune cells toll-like receptor 4 (TLR4) MR. Results compared expression profiles an array (GSE164191) (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) obtained 7,339 DEGs (3,733 upregulated 3,606 downregulated). these 4,724 WGCNA 1,330 related hemolysis that identified 190 After further screening PPI network, TLR4, PTPRC, FCGR3B, STAT1, APOE, which are closely found TLR4 occurrence MR ( p < 0.05). Conclusion constructed WGCNA-based hemolysis-associated