Open Access

Identification of common genes of rhinovirus single/double‑stranded RNA‑induced asthma deterioration by bioinformatics analysis

  • Authors:
    • Qian An
    • Yi Cao
    • Wei Guo
    • Ziyun Jiang
    • Hui Luo
    • Hui Liu
    • Xiaodong Zhan
  • View Affiliations

  • Published online on: March 20, 2024     https://doi.org/10.3892/etm.2024.12498
  • Article Number: 210
  • Copyright: © An et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Rhinovirus (RV) is the most common respiratory virus affecting humans. The majority of asthma deteriorations are triggered by RV infections. However, whether the effects of RV single‑ and double‑stranded RNA on asthma deterioration have common target genes needs to be further studied. In the present study, two datasets (GSE51392 and GSE30326) were used to screen for common differentially expressed genes (cDEGs). The molecular function, signaling pathways, interaction networks, hub genes, key modules and regulatory molecules of cDEGs were systematically analyzed using online tools such as Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, STRING and NetworkAnalyst. Finally, the hub genes STAT1 and IFIH1 were verified in clinical samples using reverse transcription‑quantitative PCR (RT‑qPCR). A total of 85 cDEGs were identified. Function analysis revealed that cDEGs served an important role in the innate immune response to viruses and its regulation. Signal transducer and activator of transcription 1 (STAT1), interferon induced with helicase C domain 1 (IFIH1), interferon regulatory factor 7 (IRF7), DExD/H box helicase 58 (DDX58) and interferon‑stimulating gene 15 (ISG15) were detected to be hub genes based on the protein‑protein interactions and six topological algorithms. A key module involved in influenza A, the Toll‑like receptor signaling pathway, was identified using Cytoscape software. The hub genes were regulated by GATA‑binding factor 2 and microRNA‑146a‑5p. In addition, RT‑qPCR indicated that the expression levels of the hub genes STAT1 and IFIH1 were low during asthma deterioration compared with post‑treatment recovery samples. The present study enhanced the understanding of the mechanism of RV‑induced asthma deterioration.
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May-2024
Volume 27 Issue 5

Print ISSN: 1792-0981
Online ISSN:1792-1015

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Spandidos Publications style
An Q, Cao Y, Guo W, Jiang Z, Luo H, Liu H and Zhan X: Identification of common genes of rhinovirus single/double‑stranded RNA‑induced asthma deterioration by bioinformatics analysis. Exp Ther Med 27: 210, 2024.
APA
An, Q., Cao, Y., Guo, W., Jiang, Z., Luo, H., Liu, H., & Zhan, X. (2024). Identification of common genes of rhinovirus single/double‑stranded RNA‑induced asthma deterioration by bioinformatics analysis. Experimental and Therapeutic Medicine, 27, 210. https://doi.org/10.3892/etm.2024.12498
MLA
An, Q., Cao, Y., Guo, W., Jiang, Z., Luo, H., Liu, H., Zhan, X."Identification of common genes of rhinovirus single/double‑stranded RNA‑induced asthma deterioration by bioinformatics analysis". Experimental and Therapeutic Medicine 27.5 (2024): 210.
Chicago
An, Q., Cao, Y., Guo, W., Jiang, Z., Luo, H., Liu, H., Zhan, X."Identification of common genes of rhinovirus single/double‑stranded RNA‑induced asthma deterioration by bioinformatics analysis". Experimental and Therapeutic Medicine 27, no. 5 (2024): 210. https://doi.org/10.3892/etm.2024.12498