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pmid:35754849
Construction of Immune-Related ceRNA Network in Dilated Cardiomyopathy: Based on Sex Differences.
Chang Liu · Jian Liu · Daihong Wu · Shaoling Luo · Weijie Li · Lushan Chen · Zhen Liu · Bingbo Yu
Frontiers in genetics · 2022 doi:10.3389/fgene.2022.882324
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Experiment
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Data
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Analysis
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Complete file
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Genetic predisposition and gender play a critical role in immune-related responses of DCM. This study aimed to perform a bioinformatics analysis of molecular differences between male and female samples and identify immune-related ceRNA network in DCM. Methods: The gene expression microarray and clinical features dataset of GSE19303 was downloaded from the GEO. The raw data were preprocessed, followed by identification of differentially expressed genes (DEGs) between male and female DCM samples. Crucial functions and pathway enrichment analysis of DEGs were investigated through GO analysis and KEGG pathway analysis, respectively. A lncRNA-miRNA-mRNA network was constructed and a central module was extracted from the ceRNA network. Results: Compared with the female group, the male group benefits more from IA/IgG immunotherapy. Male patients of DCM had a significant positive correlation with the abundance of inflammatory cells (B cells, memory B cells, CD8+ Tem cells, and NK cells). Sex difference DEGs had a widespread impact on the signaling transduction, transcriptional regulation, and metabolism in DCM. Subsequently, we constructed an immune-related ceRNA network based on sex differences in DCM, including five lncRNAs, six miRNAs, and 29 mRNAs. Furthermore, we extracted a central module from the ceRNA network, including two lncRNAs (XIST and LINC00632), three miRNAs (miR-1-3p, miR-17-5p, and miR-22-3p), and six mRNAs (CBL, CXCL12, ESR1, IGF1R, IL6ST, and STC1). Among these DEGs, CBL, CXCL12, and IL6ST expression was considered to be associated with inflammatory cell infiltration in DCM. Conclusions: The identified ceRNA network and their enriched pathways may provide genetic insights into the phenotypic diversity of female and male patients with DCM and may provide a basis for development of sex-related individualization of immunotherapy.", "claims": [{"id": "claim-method", "statement": "The Linear Models for Microarray Analysis (Limma) package in R software was applied to identify the differentially expressed genes (DEGs) in the male DCM samples compared with the female DCM ones, based on Student’s t-test. 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