iScience (May 2022)

Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection

  • Qiqi Zeng,
  • Xin Qi,
  • Junpeng Ma,
  • Fang Hu,
  • Xiaorui Wang,
  • Hongyu Qin,
  • Mengyang Li,
  • Shaoxin Huang,
  • Yong Yang,
  • Yixin Li,
  • Han Bai,
  • Meng Jiang,
  • Doudou Ren,
  • Ye Kang,
  • Yang Zhao,
  • Xiaobei Chen,
  • Xi Ding,
  • Di Ye,
  • Yankui Wang,
  • Jianguo Jiang,
  • Dong Li,
  • Xi Chen,
  • Ke Hu,
  • Binghong Zhang,
  • Bingyin Shi,
  • Chengsheng Zhang

Journal volume & issue
Vol. 25, no. 5
p. 104309

Abstract

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Summary: MicroRNAs (miRNAs) have been shown to play important roles in viral infections, but their associations with SARS-CoV-2 infection remain poorly understood. Here, we detected 85 differentially expressed miRNAs (DE-miRNAs) from 2,336 known and 361 novel miRNAs that were identified in 233 plasma samples from 61 healthy controls and 116 patients with COVID-19 using the high-throughput sequencing and computational analysis. These DE-miRNAs were associated with SASR-CoV-2 infection, disease severity, and viral persistence in the patients with COVID-19, respectively. Gene ontology and KEGG pathway analyses of the DE-miRNAs revealed their connections to viral infections, immune responses, and lung diseases. Finally, we established a machine learning model using the DE-miRNAs between various groups for classification of COVID-19 cases with different clinical presentations. Our findings may help understand the contribution of miRNAs to the pathogenesis of COVID-19 and identify potential biomarkers and molecular targets for diagnosis and treatment of SARS-CoV-2 infection.

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