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Journal Article Ppublish 9 citations

PubMed: 37520333 DOI: 10.1016/j.humgen.2023.201172

In silico identification of potential miRNAs -mRNA inflammatory networks implicated in the pathogenesis of COVID-19.

Hum Gene (Amst) 36:201172

Authors: Somayeh Hashemi Sheikhshabani, Zeinab Amini-Farsani, Parastoo Modarres, Zahra Amini-Farsani, Sharareh Khazaei Feyzabad, Nasibeh Shaygan, Bashdar Mahmud Hussen, Mir Davood Omrani, Soudeh Ghafouri-Fard

Affiliations

  • Student Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Department of Cell and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran.
  • Bayesian Imaging and Spatial Statistics Group, Institute of Statistics, Ludwig-Maximilian-Universität München, Ludwigstraße 33, 80539 Munich, Germany.
  • Department of Laboratory Sciences, School of Paramedical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran.
  • Department of Pharmacognosy, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq.
  • Center of Research and Strategic Studies, Lebanese French University, Erbil, Kurdistan Region, Iraq.
  • Urogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Abstract

COVID-19 has been found to affect the expression profile of several mRNAs and miRNAs, leading to dysregulation of a number of signaling pathways, particularly those related to inflammatory responses. In the current study, a systematic biology procedure was used for the analysis of high-throughput expression data from blood specimens of COVID-19 and healthy individuals. Differentially expressed miRNAs in blood specimens of COVID-19 vs. healthy specimens were then identified to construct and analyze miRNA-mRNA networks and predict key miRNAs and genes in inflammatory pathways. Our results showed that 171 miRNAs were expressed as outliers in box plot and located in the critical areas according to our statistical analysis. Among them, 8 miRNAs, namely miR-1275, miR-4429, miR-4489, miR-6721-5p, miR-5010-5p, miR-7110-5p, miR-6804-5p and miR-6881-3p were found to affect expression of key genes in NF-KB, JAK/STAT and MAPK signaling pathways implicated in COVID-19 pathogenesis. In addition, our results predicted that 25 genes involved in above-mentioned inflammatory pathways were targeted not only by these 8 miRNAs but also by other obtained miRNAs (163 miRNAs). The results of the current in silico study represent candidate targets for further studies in COVID-19.

MeSH

Genes, Blood, Micrornas, Rna, Messenger, Nf-Kappa B, Covid-19

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