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Copyright (c) 2023 Yanping Zha, Tao Zhu, Tian Li
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Identification and Characterization of Necroptosis-Related Differentially Expressed Genes in Acute Myocardial Infarction: Insights into Immune-Related Pathways and Protein-Protein Interactions
Corresponding Author(s) : Tian Li
Cellular and Molecular Biology,
Vol. 69 No. 5: Issue 5
Abstract
Acute myocardial infarction (AMI) is a serious cardiovascular medical emergency that can lead to death. Necroptosis, a programmed cell death pathway, has been implicated in the development and progression of AMI. The aim of our study was to identify necroptosis-related differentially expressed genes (NRDEGs) in AMI and investigate their interactions and functions. The GSE66360 dataset was screened for NRDEGs using the 'limma' R package, with a threshold of p 0.05. A set of 159 necroptosis-related genes (NRGs) was retrieved from the KEGG database. The protein-protein interactions (PPI) network was constructed using the STRING data resource. Molecular Complex Detection (MCODE) and cytohHubba plugin was applied to find the major modules and genes. Gene ontology (GO) and KEGG pathway analyses were performed using the R ‘clusterProfiler’ package. The enrichment scores for immune cell types and associated biological pathways or functions were gained using the ssGSEA method. Our study identified 5 down-regulated and 16 up-regulated NRDEGs in AMI. The PPI network analysis revealed several important modules and hub genes, including TNF, IL1B, TLR4, STAT3, NLRP3, TNFAIP3, CYBB, IFNGR1, FADD, and IL33. GO analysis revealed that NRDEGs were enriched in multiple biological processes, cellular components, and molecular functions, including those related to cytokine production, response to cytokine stimulus, and necroptotic process. NRDEGs were found to be particularly abundant in a number of non-disease pathways, such as necroptosis and immune-related pathways like cytokine-cytokine receptor interaction and TNF signaling pathway, according to KEGG pathway analysis. The ssGSEA analysis revealed a correlation between immune cells and NRDEGs in AMI. The study identified NRDEGs and their interactions in AMI, providing insights into the potential function of necroptosis in the pathological process of AMI. The results imply that immune-related pathways and cytokines may be crucial in the initiation and development of AMI. The study provides a foundation for further research on the underlying mechanisms of necroptosis in AMI and the potential for developing novel therapies.
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