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

作者：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, Xiaobei Chen, Xi Ding, Di Ye, Yankui Wang, Jianguo Jiang, Dong Li, Xi Chen, Xi Chen, Ke Hu, Chengsheng Zhang, Bingyin Shi, Chengsheng Zhang · 发表于：iScience · 年份：2022 · DOI：10.1016/j.isci.2022.104309 · 被引用次数：15 · 研究领域：MicroRNA in disease regulation、Extracellular vesicles in disease、Circular RNAs in diseases

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.