Document Type
Article
Publication Date
5-20-2022
Publication Title
iScience
Keywords
JGM
JAX Source
iScience. 2022 May 20;25(5):104309.
Volume
25
Issue
5
First Page
104309
Last Page
104309
ISSN
2589-0042
PMID
35502319
DOI
https://doi.org/10.1016/j.isci.2022.104309
Abstract
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.
Recommended Citation
Zeng Q,
Qi X,
Ma J,
Hu F,
Wang X,
Qin H,
Li M,
Huang S,
Yang Y,
Li Y,
Bai H,
Jiang M,
Ren D,
Kang Y,
Zhao Y,
Chen X,
Ding X,
Ye D,
Wang Y,
Jiang J,
Li D,
Chen X,
Hu K,
Zhang B,
Shi B,
Zhang C.
Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection. iScience. 2022 May 20;25(5):104309.
Comments
This is an open access article under the CC BY-NC-ND license.