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INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

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Published by : Advanced Scientific Research
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0975-2366
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IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

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Identification of a Gene Cluster That May Serve as a Gene Signature and Biomarker of Lupus Erythematosus

Author: ANAS KHALEEL, WAEL ABU DAYYIH, MOHAMMED NIAZI, TALAL SALEM AL-QAISI, RAFAT ABUTALEB
Abstract: The Lupus erythematosus (LE) is an inflammatory disorder, a model of human systemic autoimmune disorder, which may cause different organ damage. The molecular basis of this disease has not yet been fully explicated, and the genes involved in LE pathophysiology have not been recognized. The whole gene expression dataset GSE45867 from the blood of LE patients was obtained from the Gene Expression Omnibus (GEO). Genetic clustering and characterizations were identified by Gene set enrichment analysis (GSEA) method tool while coexpression genes and key molecular pathways of interaction were confirmed via Gene Multiple Association Network Integration Algorithm (GeneMANIA). A distinct network was obtained using the web tool GeneMANIA and presented in circular form. Related genes were mostly found in the co-expression category (73.6%), followed by the physical interaction (20.7%). GSEA revealed that the most overlapping genes were associated with Signaling cascade by VEGFR1/VEGFR2 and B Cell Receptor Signaling Pathway. GSEA also surveyed microRNA targets, with the miR-8485 and miR-570-3p having the highest prediction score (>80, high confidence targets). Similarly, investigation using the REACTOME Pathway web tool showed that Signaling by VEGF gene, VEGF ligand/receptor interactions, VEGF proten binds to VEGF Receptor leading to its dimerization, VEGFA-VEGFR2 Pathways were also found to be involved in disease pathology. Gene set analysis of differentially expressed genes in LE disclosed a significant gene network that is involved in immune and inflammatory pathways. These pathways and networks might serve as biomarkers for LE and can potentially help in diagnosing disease and identifying future targets.
Keyword: lupus erythematosus; biomarkers; pathways; gene expression
DOI: https://doi.org/10.31838/ijpr/2021.13.02.043
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