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Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients using Machine Learning and Immune Cell Infiltration Analysis (preprint)
researchsquare; 2023.
Preprint
en Inglés
| PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-2909554.v1
ABSTRACT
Background Elderly patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are at higher risk of severe clinical manifestation, extended hospitalization, and increased mortality. Those patients are more likely to experience persistent symptoms and exacerbate the condition of basic diseases with long COVID-19 syndrome. However, the molecular mechanisms underlying severe COVID-19 in the elderly patients remain unclear. Our study aims to investigate the function of the interaction between disease-characteristic genes and immune cell infiltration in patients with severe COVID-19 infection.Methods COVID-19 datasets (GSE164805 and GSE180594) and aging dataset (GSE69832) were obtained from the Gene Expression Omnibus (GEO) database. The combined different expression genes (DEGs) were subjected to Gene Ontology (GO) functional enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Diseases Ontology (DO) functional enrichment analysis, Gene Set Enrichment Analysis (GSEA), machine learning, and immune cell infiltration analysis.Results GO and KEGG enrichment analysis revealed that the eight DEGs (IL23A, PTGER4, PLCB1, IL1B, CXCR1, C1QB, MX2, ALOX12) were mainly involved in inflammatory mediator regulation of TRP channels, coronavirus disease-COVID-19, and cytokine activity signaling pathways. Two-degree algorithm (LASSO and SVM-RFE) and correlation analysis showed that the seven DEGs upregulated the immune cells of macrophages M0/M1, memory B cells, gramma delta T cell, dendritic cell resting and master cell resisting.Conclusion Our study identified seven hallmark genes that can serve as disease-characteristic genes and target immune cells infiltrated in severe COVID-19 patients among the elderly population, which may contribute to the study of pathogenesis and the evaluation of diagnosis and prognosis in aging patients infected with severe COVID-19.
Texto completo:
Disponible
Colección:
Preprints
Base de datos:
PREPRINT-RESEARCHSQUARE
Asunto principal:
Infecciones por Coronavirus
/
COVID-19
Idioma:
Inglés
Año:
2023
Tipo del documento:
Preprint
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