Association of cardiometabolic microRNAs with COVID-19 severity and mortality

Author:

Gutmann Clemens1ORCID,Khamina Kseniya2ORCID,Theofilatos Konstantinos1ORCID,Diendorfer Andreas B2ORCID,Burnap Sean A1ORCID,Nabeebaccus Adam13,Fish Matthew45ORCID,McPhail Mark J W367,O'Gallagher Kevin13ORCID,Schmidt Lukas E1ORCID,Cassel Christian1ORCID,Auzinger Georg389ORCID,Napoli Salvatore6ORCID,Mujib Salma F7,Trovato Francesca367ORCID,Sanderson Barnaby5ORCID,Merrick Blair10ORCID,Roy Roman3ORCID,Edgeworth Jonathan D410,Shah Ajay M13ORCID,Hayday Adrian C411ORCID,Traby Ludwig12ORCID,Hackl Matthias2ORCID,Eichinger Sabine13ORCID,Shankar-Hari Manu4514ORCID,Mayr Manuel1ORCID

Affiliation:

1. King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, 125 Coldharbour Lane, London SE5 9NU, UK

2. TAmiRNA GmbH, Leberstrasse 20, Vienna 1110, Austria

3. King's College Hospital NHS Foundation Trust, Denmark Hill, London SE5 9RS, UK

4. Peter Gorer Department of Immunobiology, School of Immunology and Microbial Sciences, King's College London, Great Maze Pond, London, SE1 9RT, UK

5. Department of Intensive Care Medicine, Guy's and St Thomas' NHS Foundation Trust, Westminster Bridge Road, London SE1 7EH, UK

6. Department of Inflammation Biology, School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King's College London, Newcomen Street, London SE1 1UL, UK

7. Institute of Liver Studies, King's College Hospital, Denmark Hill, London SE5 9RS, UK

8. Department of Liver Intensive Care & Critical Care, King's College Hospital London, Denmark Hill, London SE5 9RS, UK

9. Department of Critical Care, Cleveland Clinic London, 33 Grosvenor Place, London SW1X 7HY, UK

10. Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, Guy’s and St Thomas’ NHS Foundation Trust & King’s College London, Westminster Bridge Road, London SE1 7EH, UK

11. The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK

12. Department of Medicine I, Division of Infectious Diseases and Tropical Medicine, Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria

13. Department of Medicine I, Division of Haematology and Hemostaseology Medical University of Vienna, Waehringer Guertel 18-20, 1090 Vienna, Austria

14. Centre of Inflammation Research, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, UK

Abstract

Abstract 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.

Funder

British Heart Foundation

National Institute of Academic Anaesthesia

Biomedical Research Centre at Guy’s and St Thomas

NHS Foundation Trust

UK Medical Research Council Clinical Research Training Fellowship

NIHR Academic Clinical Fellowship in Combined Infection Training

The NIHR Collaboration for Leadership in Applied Health Research and Care South London at King’s College Hospital NHS Foundation Trust

Lower Green Foundation

Innovative Medicines Initiative 2 Joint Undertaking

European Union’s Horizon 2020

Medizinisch-Wissenschaftlicher Fonds des Buergermeisters der Bundeshauptstadt Wien

Leducq Foundation

Centre for Promoting Vascular Health in the Ageing Community

Austrian Research Promotion Agency FFG

Austrian Ministry for Transport, Innovation and Technology

Austrian Ministry for Digital and Economic Affairs

BHF Centre for Vascular Regeneration with Edinburgh

John Black Charitable Foundation

Francis Crick Institute

Cancer Research UK

Wellcome Trust

National Institute for Health Research Clinician Scientist Award

National Institute for Health Research

Biomedical Research Centre

Department of Health

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

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