Screening of Potential Circulating Diagnostic Biomarkers and Molecular Mechanisms of Systemic Lupus Erythematosus-Related Myocardial Infarction by Integrative Analysis
Open Access
- 1 July 2023
- journal article
- research article
- Published by Taylor & Francis in Journal of Inflammation Research
- Vol. ume 16, 3119-3134
Abstract
Background: The risk of acute myocardial infarction (AMI) is elevated in patients with systemic lupus erythematosus (SLE), and it is of great clinical value to identify potential molecular mechanisms and diagnostic markers of AMI associated with SLE by analyzing public database data and transcriptome sequencing data. Methods: AMI and SLE-related sequencing datasets GSE62646, GSE60993, GSE50772 and GSE81622 were downloaded from the Gene Expression Omnibus (GEO) database and divided into prediction and validation cohorts. To identify the key genes associated with AMI related to SLE, WGCNA and DEGs analysis were performed for the prediction and validation cohorts, respectively. The related signaling pathways were identified by GO/KEGG enrichment analysis. Peripheral blood mononuclear cells (PBMCs) from patients with AMI were collected for transcriptome sequencing to validate the expression of key genes in patients with AMI. Least absolute shrinkage and selection operator (LASSO) regression analysis was applied to screen diagnostic biomarkers. The diagnostic efficacy of biomarkers was validated by ROC analysis, and the CIBERSORTx platform was used to analyze the composition of immune cells in AMI and SLE. Results: A total of 108 genes closely related to AMI and SLE were identified in the prediction cohort, and GO/KEGG analysis showed significantly enriched signaling pathways. The results of differential analysis in validation cohort were consistent with them. By transcriptional sequencing of PBMCs from peripheral blood of AMI patients, combined with the results of prediction and validation cohort analysis, seven genes were finally screened out. LASSO analysis finally identifies DYSF, LRG1 and CSF3R as diagnostic biomarkers of SLE-related-AMI. CIBERSORTx analysis revealed that the biomarkers were highly correlated with neutrophils. Conclusion: Neutrophil degranulation and NETs formation play important roles in SLE-related AMI, and DYSF, LRG1 and CSF3R were identified as important diagnostic markers for the development and progression of SLE-related AMI.Keywords
This publication has 59 references indexed in Scilit:
- Altered Gene Expression Pattern in Peripheral Blood Mononuclear Cells in Patients with Acute Myocardial InfarctionPLOS ONE, 2012
- Netting Neutrophils Induce Endothelial Damage, Infiltrate Tissues, and Expose Immunostimulatory Molecules in Systemic Lupus ErythematosusThe Journal of Immunology, 2011
- pROC: an open-source package for R and S+ to analyze and compare ROC curvesBMC Bioinformatics, 2011
- Regulatory and pathogenetic mechanisms of autoantibodies in SLEAutoimmunity, 2011
- A New Role for the Muscle Repair Protein Dysferlin in Endothelial Cell Adhesion and AngiogenesisArteriosclerosis, Thrombosis, and Vascular Biology, 2010
- Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170 000 participants in 26 randomised trialsThe Lancet, 2010
- Regulation of mRNA Translation and Stability by microRNAsAnnual Review of Biochemistry, 2010
- Systemic lupus erythematosus and the risk of cardiovascular disease: Results from the nurses' health studyArthritis Care & Research, 2009
- WGCNA: an R package for weighted correlation network analysisBMC Bioinformatics, 2008
- LRG-accelerated differentiation defines unique G-CSFR signaling pathways downstream of PU.1 and C/EBPε that modulate neutrophil activationJournal of Leukocyte Biology, 2008