Interdepartmental Division of Critical Care Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
The Keenan Research Centre for Biomedical Sciences, Unity Health Toronto, Toronto, Ontario, Canada.
PLoS One. 2023 Aug 29;18(8):e0286871. doi: 10.1371/journal.pone.0286871. eCollection 2023.
The COVID-19 pandemic has created an urgency to study the host gene response that leads to variable clinical presentations of the disease, particularly the critical illness response. miRNAs have been implicated in the mechanism of host immune dysregulation and thus hold potential as biomarkers and/or therapeutic agents with clinical application. Hence, further analyses of their altered expression in COVID-19 is warranted. An important basis for this is identifying appropriate reference genes for high quality expression analysis studies. In the current report, NanoString technology was used to study the expression of 798 miRNAs in the peripheral blood of 24 critically ill patients, 12 had COVID-19 and 12 were COVID-19 negative. A list of potentially stable candidate reference genes was generated that included ten miRNAs. The top six were analyzed using reverse transcription quantitative polymerase chain reaction (RT-qPCR) in a total of 41 patients so as to apply standard computational algorithms for validating reference genes, namely geNorm, NormFinder, BestKeeper and RefFinder. There was general agreement among all four algorithms in the ranking of four stable miRNAs: miR-186-5p, miR-148b-3p, miR-194-5p and miR-448. A detailed analysis of their output rankings led to the conclusion that miR-186-5p and miR-148b-3p are appropriate reference genes for miRNA expression studies using PaxGene tubes in the peripheral blood of patients critically ill with COVID-19 disease.
新型冠状病毒肺炎大流行促使人们迫切研究宿主基因反应,以了解疾病的临床表现差异,尤其是重症患者的临床表现。miRNA 参与宿主免疫失调的机制,因此具有作为生物标志物和/或治疗剂的应用潜力。因此,有必要进一步分析其在新型冠状病毒肺炎中的表达变化。为此,一个重要的基础是确定合适的参考基因,用于进行高质量的表达分析研究。在本报告中,使用 NanoString 技术研究了 24 例重症患者外周血中的 798 种 miRNA 的表达情况,其中 12 例患有新型冠状病毒肺炎,12 例为新型冠状病毒肺炎阴性。生成了一份潜在稳定的候选参考基因列表,其中包括 10 个 miRNA。使用逆转录定量聚合酶链反应 (RT-qPCR) 对总共 41 例患者分析了前六个 miRNA,以应用标准计算算法验证参考基因,即 geNorm、NormFinder、BestKeeper 和 RefFinder。四种算法在四个稳定 miRNA 的排名上普遍一致:miR-186-5p、miR-148b-3p、miR-194-5p 和 miR-448。对它们的输出排名进行详细分析后得出结论,miR-186-5p 和 miR-148b-3p 是使用外周血 PaxGene 管研究新型冠状病毒肺炎重症患者 miRNA 表达的合适参考基因。