Plasma miR-1-3p levels predict severity in hospitalized COVID-19 patients

被引:1
作者
Di Pietro, Paola [1 ]
Abate, Angela Carmelita [1 ]
Izzo, Carmine [1 ]
Toni, Anna Laura [1 ]
Rusciano, Maria Rosaria [1 ]
Folliero, Veronica [1 ]
Dell'Annunziata, Federica [1 ,2 ]
Granata, Giovanni [1 ]
Visco, Valeria [1 ]
Motta, Benedetta Maria [1 ]
Campanile, Alfonso [3 ]
Vitale, Carolina [3 ]
Prete, Valeria [1 ]
Gatto, Cristina [1 ]
Scarpati, Giuliana [3 ]
Poggio, Paolo [4 ]
Galasso, Gennaro [1 ]
Pagliano, Pasquale [1 ]
Piazza, Ornella [1 ]
Santulli, Gaetano [5 ,6 ,7 ,8 ]
Franci, Gianluigi [1 ]
Carrizzo, Albino [1 ,9 ]
Vecchione, Carmine [1 ,9 ]
Ciccarelli, Michele [1 ]
机构
[1] Univ Salerno, Scuola Med Salernitana, Dept Med Surg & Dent, I-84081 Baronissi, SA, Italy
[2] Univ Campania Luigi Vanvitelli, Dept Expt Med, Naples, Italy
[3] San Giovanni di Dio e Ruggi DAragona Univ Hosp, Salerno, Italy
[4] Ctr Cardiol Monzino IRCCS, Milan, Italy
[5] Albert Einstein Coll Med, Wilf Family Cardiovasc Res Inst, Fle Inst Diabet & Metab, Einstein Inst Neuroimmunol & Inflammat,Dept Med,Di, New York, NY USA
[6] Univ Naples Federico II, Dept Adv Biomed Sci, Naples, Italy
[7] Int Translat Res & Med Educ ITME Consortium, Naples, Italy
[8] Albert Einstein Coll Med, Einstein Inst Aging Res, Einstein Sinai Diabet Res Ctr, Dept Mol Pharmacol, New York, NY USA
[9] IRCCS Neuromed, Vasc Physiopathol Unit, Pozzilli, Italy
基金
美国国家卫生研究院;
关键词
cardiovascular; COVID-19; microRNAs; SARS-CoV-2; CONCISE GUIDE; MYOCARDIAL-INFARCTION; MICRORNAS; SERUM; EXPRESSION; TARGETS; PLAY;
D O I
10.1111/bph.17392
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Background and PurposeAccumulating evidence suggests circulating microRNAs (miRNAs) are important regulators of biological processes involved in COVID-19 complications. We sought to assess whether circulating miRNAs are associated with COVID-19 clinical phenotype and outcome.Experimental ApproachTo discover signatures of circulating miRNAs associated with COVID-19 disease severity and mortality, miRNA quantification was performed on plasma samples collected at hospital admission from a cohort of 106 patients with mild or severe COVID-19. Variable importance projection scoring with partial least squared discriminant analysis and Random Forest Classifier were employed to identify key miRNAs associated with COVID-19 severity. ROC analysis was performed to detect promising miRNA able to discriminate between mild and severe COVID status.Key ResultsHsa-miR-1-3p was the most promising miRNA in differentiating COVID-19 patients who developed severe, rather than mild, disease. Hsa-miR-1-3p levels rose with increasing disease severity, and the highest levels were associated with prolonged hospital length of stay and worse survival. Longitudinal miRNA profiling demonstrated that plasma hsa-miR-1-3p expression levels were significantly increased in patients during acute infection compared with those observed 6 months after the disease onset. Specific blockade of miR-1-3p in SARS-CoV-2-infected endothelial cells decreased up-regulation of genes involved in endothelial-to-mesenchymal transition, inflammation and thrombosis. Furthermore, miR-1-3p inhibition reversed the impaired angiogenic capacity induced by plasma from patients with severe COVID-19.Conclusion and ImplicationsOur data establish a novel role for miR-1-3p in the pathogenesis of COVID-19 infection and provide a strong rationale for its usefulness as early prognostic biomarkers of severity status and survival.
引用
收藏
页码:451 / 467
页数:17
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