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      Exploration of Potential Biomarker Genes and Pathways in Kawasaki Disease: An Integrated in-Silico Approach


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          Kawasaki disease (KD) is a common childhood systemic vasculitis with a special predilection for coronary arteries. Even after more than five decades of the initial description of the disease, the etiology of KD remains an enigma. This transcriptome data re-analysis study aimed to elucidate the underlying pathogenesis of KD using a bioinformatic approach to identify differentially expressed genes (DEGs) to delineate common pathways involved in KD. Array datasets from the Gene Expression Omnibus database were extracted and subjected to comparative meta-analysis for the identification of prominent DEGs. Fifteen hub genes with high connectivity were selected from these DEGs ( IL1B, ITGAM, TLR2, CXCL8, SPI1, S100A12, MMP9, PRF1, TLR8, TREM1, CD44, UBB, FCER1G, IL7R, and FCGR1A ). Of these 15 genes, five genes ( CXCL8, FCGR1A, IL1B, TLR2, and TLR8) were found to be involved in neutrophil degranulation. To gain further insight into the molecular mechanism, a protein–protein network was established. Significantly enriched pathways based on the above-mentioned genes were mainly centered on biological regulation and signaling events. In addition, the pathway analysis also indicated that the majority of the DEGs in KD were enriched in systemic lupus erythematosus, suggesting a strong interplay between immunological and genetic factors in the pathogenesis of KD. These findings could significantly aid in identifying therapeutic targets and understanding KD biosignatures to design a biomarker panel for early diagnosis and severity of the disease.

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          Most cited references61

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                Author and article information

                Front Genet
                Front Genet
                Front. Genet.
                Frontiers in Genetics
                Frontiers Media S.A.
                09 May 2022
                : 13
                : 849834
                [1] 1 Genetic Metabolic Unit , Department of Pediatrics , Advanced Pediatric Centre , Post Graduate Institute of Medical Education & Research , Chandigarh, India
                [2] 2 Allergy Immunology Unit , Department of Pediatrics , Advanced Pediatric Centre , Post Graduate Institute of Medical Education & Research , Chandigarh, India
                Author notes

                Edited by: Sajad Ahmad Dar, Jazan University, Saudi Arabia

                Reviewed by: Arshad Jawed, GE Healthcare Life Sciences, India

                Mohd Wahid, Jazan University, Saudi Arabia

                *Correspondence: Priyanka Srivastava, srivastavapriy@ 123456gmail.com

                This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics

                Copyright © 2022 Srivastava, Bamba, Pilania, Kumari, Kumrah, Sil and Singh.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                : 06 January 2022
                : 11 April 2022
                Original Research

                bioinformatics,biomarkers,hub genes,in-silico analysis,kawasaki disease,microarray,transcriptomics analysis


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