In silico-aided molecular identification of potential pathogenic and prognostic differentially expressed genes (DEGs) associated with human trypanosomiasis

نویسندگان

چکیده

Background: The molecular mechanism of human African trypanosomiasis remains to be fully understood. It is urgently required identify genes that are associated with trypanosome development and prognosis elucidate the underlying mechanisms. In present study, we aimed potential pathogenic prognostic differentially expressed (DEGs) through bioinformatics analysis genetic profiles from infected patients. Methods: gene expression dataset (GSE85996) patients were obtained Gene Expression Omnibus (GEO). DEGs identified using LIMMA Package R. GO (Gene Ontology) KEGG (Kyoto Encyclopedia Genes Genomes) analyses conducted Enrich. protein-protein interaction (PPI) network was established STRING (Search Tool for Retrieval Interacting database) server. Results: A total 20 including 3 upregulated (STAT1, FBXW17 LRRC15), 17 downregulated (Setbp1, Rxfp1, 5031414D18Rik, Dnm3os, Serpine2, Rnase2a, Tnfaip8l3, Adap1, Nrg1, P2ry14, Vegfd, Aldh1a2, Fgfbp3 Aldh1a2) identified. PPI DEG a 40 nodes, 254 edges, 12.7 average node degree, enrichment p-value < 1.0e-16. enriched pathway includes; Relaxin signalling pathway, retinol metabolism, erbb neuroactive ligand-receptor interaction, TNF focal adhesion. However, r FGFR cardiac endothelial cell differentiation, muscle myoblast plasminogen activation, mast chemotaxis, endocardial transmembrane receptor protein tyrosine kinase. Conclusion: study may provide basis an improved understanding infection in humans. this could utilized as new biomarkers targets drugs against trypanosomiasis.

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ژورنال

عنوان ژورنال: AROC in pharmaceutical and biotechnology

سال: 2022

ISSN: ['2789-3928']

DOI: https://doi.org/10.53858/arocpb02011826