Association of cardiometabolic microRNAs with COVID-19 severity and mortality

被引:53
作者
Gutmann, Clemens [1 ]
Khamina, Kseniya [2 ]
Theofilatos, Konstantinos [1 ]
Diendorfer, Andreas B. [2 ]
Burnap, Sean A. [1 ]
Nabeebaccus, Adam [1 ,3 ]
Fish, Matthew [4 ,5 ]
McPhail, Mark J. W. [3 ,6 ,7 ]
O'Gallagher, Kevin [1 ,3 ]
Schmidt, Lukas E. [1 ]
Cassel, Christian [1 ]
Auzinger, Georg [3 ,8 ,9 ]
Napoli, Salvatore [6 ]
Mujib, Salma F. [7 ]
Trovato, Francesca [3 ,6 ,7 ]
Sanderson, Barnaby [5 ]
Merrick, Blair [10 ,11 ]
Roy, Roman [3 ]
Edgeworth, Jonathan D. [4 ,10 ,11 ]
Shah, Ajay M. [1 ,3 ]
Hayday, Adrian C. [4 ,12 ]
Traby, Ludwig [13 ]
Hackl, Matthias [2 ]
Eichinger, Sabine [14 ]
Shankar-Hari, Manu [4 ,5 ,15 ]
Mayr, Manuel [1 ]
机构
[1] Kings Coll London, British Heart Fdn Ctr, Sch Cardiovasc Med & Sci, 125 Coldharbour Lane, London SE5 9NU, England
[2] TAmiRNA GmbH, Leberstr 20, A-1110 Vienna, Austria
[3] Kings Coll Hosp NHS Fdn Trust, Denmark Hill, London SE5 9RS, England
[4] Kings Coll London, Sch Immunol & Microbial Sci, Peter Gorer Dept Immunobiol, London SE1 9RT, England
[5] Guys & St Thomas NHS Fdn Trust, Dept Intens Care Med, Westminster Bridge Rd, London SE1 7EH, England
[6] Kings Coll London, Fac Life Sci & Med, Sch Immunol & Microbial Sci, Dept Inflammat Biol, Newcomen St, London SE1 1UL, England
[7] Kings Coll Hosp London, Inst Liver Studies, Denmark Hill, London SE5 9RS, England
[8] Kings Coll Hosp London, Dept Liver Intens Care & Crit Care, Denmark Hill, London SE5 9RS, England
[9] Cleveland Clin London, Dept Crit Care, 33 Grosvenor Pl, London SW1X 7HY, England
[10] Guys & St Thomas NHS Fdn Trust, Ctr Clin Infect & Diagnost Res, Dept Infect Dis, Westminster Bridge Rd, London SE1 7EH, England
[11] Kings Coll London, Westminster Bridge Rd, London SE1 7EH, England
[12] Francis Crick Inst, 1 Midland Rd, London NW1 1AT, England
[13] Med Univ Vienna, Dept Med 1, Div Infect Dis & Trop Med, Waehringer Guertel 18-20, A-1090 Vienna, Austria
[14] Med Univ Vienna, Dept Med 1, Div Haematol & Hemostaseol, Waehringer Guertel 18-20, A-1090 Vienna, Austria
[15] Univ Edinburgh, Ctr Inflammat Res, 47 Little France Crescent, Edinburgh EH16 4TJ, Midlothian, Scotland
基金
英国惠康基金; 欧盟地平线“2020”; 英国医学研究理事会;
关键词
COVID-19; SARS-CoV-2; MicroRNAs; RNA-Seq; Proteomics; Biomarkers; CIRCULATING MICRORNAS; CARDIOVASCULAR-DISEASE; HYPOCHLOROUS ACID; MYELOPEROXIDASE; BIOMARKERS; RISK; EXPRESSION; INJURY; GENES;
D O I
10.1093/cvr/cvab338
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims Coronavirus disease 2019 (COVID-19) can lead to multiorgan damage. MicroRNAs (miRNAs) in blood reflect cell activation and tissue injury. We aimed to determine the association of circulating miRNAs with COVID-19 severity and 28 day intensive care unit (ICU) mortality. Methods and results We performed RNA-Seq in plasma of healthy controls (n = 11), non-severe (n = 18), and severe (n = 18) COVID-19 patients and selected 14 miRNAs according to cell- and tissue origin for measurement by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in a separate cohort of mild (n = 6), moderate (n = 39), and severe (n = 16) patients. Candidates were then measured by RT-qPCR in longitudinal samples of ICU COVID-19 patients (n = 240 samples from n = 65 patients). A total of 60 miRNAs, including platelet-, endothelial-, hepatocyte-, and cardiomyocyte-derived miRNAs, were differentially expressed depending on severity, with increased miR-133a and reduced miR-122 also being associated with 28 day mortality. We leveraged mass spectrometry-based proteomics data for corresponding protein trajectories. Myocyte-derived (myomiR) miR-133a was inversely associated with neutrophil counts and positively with proteins related to neutrophil degranulation, such as myeloperoxidase. In contrast, levels of hepatocyte-derived miR-122 correlated to liver parameters and to liver-derived positive (inverse association) and negative acute phase proteins (positive association). Finally, we compared miRNAs to established markers of COVID-19 severity and outcome, i.e. SARS-CoV-2 RNAemia, age, BMI, D-dimer, and troponin. Whilst RNAemia, age and troponin were better predictors of mortality, miR-133a and miR-122 showed superior classification performance for severity. In binary and triplet combinations, miRNAs improved classification performance of established markers for severity and mortality. Conclusion Circulating miRNAs of different tissue origin, including several known cardiometabolic biomarkers, rise with COVID-19 severity. MyomiR miR-133a and liver-derived miR-122 also relate to 28 day mortality. MiR-133a reflects inflammation-induced myocyte damage, whilst miR-122 reflects the hepatic acute phase response.
引用
收藏
页码:461 / 474
页数:14
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