Identification of Hub Genes and Potential Biomarkers for Childhood Asthma by Utilizing an Established Bioinformatic Analysis Approach

Santri, Ichtiarini Nurullita and Irham, Lalu Muhammad and Djalilah, Gina Noor and Perwitasari, Dyah Aryani and Wardani, Yuniar and Abero Phiri, Yohane Vincent and Adikusuma, Wirawan (2022) Identification of Hub Genes and Potential Biomarkers for Childhood Asthma by Utilizing an Established Bioinformatic Analysis Approach. MDPI AG, Biomedicines.

[thumbnail of HASIL CEK_Ichtiarini Nurullita Santri, Lalu Muhammad Irham, Gina Noor Djalilah, Dyah Aryani Perwitasari , Yuniar Wardani, Yohane Vincent Abero Phiri, and Wirawan Adikusuma (1) (1).pdf] Text
HASIL CEK_Ichtiarini Nurullita Santri, Lalu Muhammad Irham, Gina Noor Djalilah, Dyah Aryani Perwitasari , Yuniar Wardani, Yohane Vincent Abero Phiri, and Wirawan Adikusuma (1) (1).pdf

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Abstract

Childhood asthma represents a heterogeneous disease resulting from the interaction between genetic factors and environmental exposures. Currently, finding reliable biomarkers is necessary for the clinical management of childhood asthma. However, only a few biomarkers are being used in clinical practice in the pediatric population. In the long run, new biomarkers for asthma in children are required and would help direct therapy approaches. This study aims to identify potential childhood asthma biomarkers using a genetic-driven biomarkers approach. Herein, childhood asthma-associated Single Nucleotide Polymorphisms (SNPs) were utilized from the GWAS database to drive and facilitate the biomarker of childhood asthma. We uncovered 466 childhood asthma-associated loci by extending to proximal SNPs based on r2 > 0.8 in Asian populations and utilizing HaploReg version 4.1 to determine 393 childhood asthma risk genes. Next, the functional roles of these genes were subsequently investigated using Gene Ontology (GO) term enrichment analysis, a Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and a protein–protein interaction (PPI) network. MCODE and CytoHubba are two Cytoscape plugins utilized to find biomarker genes from functional networks created using childhood asthma risk genes. Intriguingly, 10 hub genes (IL6, IL4, IL2, IL13, PTPRC, IL5, IL33, TBX21, IL2RA, and STAT6) were successfully identified and may have been identified to play a potential role in the pathogenesis of childhood asthma. Among 10 hub genes, we strongly suggest IL6 and IL4 as prospective childhood asthma biomarkers since both of these biomarkers achieved a high systemic score in Cytohubba’s MCC algorithm. In summary, this study offers a valuable genetic-driven biomarker approach to facilitate the potential biomarkers for asthma in children

Item Type: Other
Subjects: R Medicine > RS Pharmacy and materia medica
Divisi / Prodi: Faculty of Pharmacy (Fakultas Farmasi) > S2-Master of Pharmacy (S2-Farmasi)
Depositing User: Lalu Muhammad Irham, M.Farm., Ph.D
Date Deposited: 02 Nov 2022 01:39
Last Modified: 02 Nov 2022 01:39
URI: http://eprints.uad.ac.id/id/eprint/37193

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