Cargando…

Association of cardiometabolic microRNAs with COVID-19 severity and mortality

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 p...

Descripción completa

Detalles Bibliográficos
Autores principales: Gutmann, Clemens, Khamina, Kseniya, Theofilatos, Konstantinos, Diendorfer, Andreas B, Burnap, Sean A, Nabeebaccus, Adam, Fish, Matthew, McPhail, Mark J W, O'Gallagher, Kevin, Schmidt, Lukas E, Cassel, Christian, Auzinger, Georg, Napoli, Salvatore, Mujib, Salma F, Trovato, Francesca, Sanderson, Barnaby, Merrick, Blair, Roy, Roman, Edgeworth, Jonathan D, Shah, Ajay M, Hayday, Adrian C, Traby, Ludwig, Hackl, Matthias, Eichinger, Sabine, Shankar-Hari, Manu, Mayr, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689968/
https://www.ncbi.nlm.nih.gov/pubmed/34755842
http://dx.doi.org/10.1093/cvr/cvab338
_version_ 1784618603353473024
author Gutmann, Clemens
Khamina, Kseniya
Theofilatos, Konstantinos
Diendorfer, Andreas B
Burnap, Sean A
Nabeebaccus, Adam
Fish, Matthew
McPhail, Mark J W
O'Gallagher, Kevin
Schmidt, Lukas E
Cassel, Christian
Auzinger, Georg
Napoli, Salvatore
Mujib, Salma F
Trovato, Francesca
Sanderson, Barnaby
Merrick, Blair
Roy, Roman
Edgeworth, Jonathan D
Shah, Ajay M
Hayday, Adrian C
Traby, Ludwig
Hackl, Matthias
Eichinger, Sabine
Shankar-Hari, Manu
Mayr, Manuel
author_facet Gutmann, Clemens
Khamina, Kseniya
Theofilatos, Konstantinos
Diendorfer, Andreas B
Burnap, Sean A
Nabeebaccus, Adam
Fish, Matthew
McPhail, Mark J W
O'Gallagher, Kevin
Schmidt, Lukas E
Cassel, Christian
Auzinger, Georg
Napoli, Salvatore
Mujib, Salma F
Trovato, Francesca
Sanderson, Barnaby
Merrick, Blair
Roy, Roman
Edgeworth, Jonathan D
Shah, Ajay M
Hayday, Adrian C
Traby, Ludwig
Hackl, Matthias
Eichinger, Sabine
Shankar-Hari, Manu
Mayr, Manuel
author_sort Gutmann, Clemens
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8689968
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-86899682022-01-05 Association of cardiometabolic microRNAs with COVID-19 severity and mortality Gutmann, Clemens Khamina, Kseniya Theofilatos, Konstantinos Diendorfer, Andreas B Burnap, Sean A Nabeebaccus, Adam Fish, Matthew McPhail, Mark J W O'Gallagher, Kevin Schmidt, Lukas E Cassel, Christian Auzinger, Georg Napoli, Salvatore Mujib, Salma F Trovato, Francesca Sanderson, Barnaby Merrick, Blair Roy, Roman Edgeworth, Jonathan D Shah, Ajay M Hayday, Adrian C Traby, Ludwig Hackl, Matthias Eichinger, Sabine Shankar-Hari, Manu Mayr, Manuel Cardiovasc Res Fast-Track Original Article 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. Oxford University Press 2021-11-10 /pmc/articles/PMC8689968/ /pubmed/34755842 http://dx.doi.org/10.1093/cvr/cvab338 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Fast-Track Original Article
Gutmann, Clemens
Khamina, Kseniya
Theofilatos, Konstantinos
Diendorfer, Andreas B
Burnap, Sean A
Nabeebaccus, Adam
Fish, Matthew
McPhail, Mark J W
O'Gallagher, Kevin
Schmidt, Lukas E
Cassel, Christian
Auzinger, Georg
Napoli, Salvatore
Mujib, Salma F
Trovato, Francesca
Sanderson, Barnaby
Merrick, Blair
Roy, Roman
Edgeworth, Jonathan D
Shah, Ajay M
Hayday, Adrian C
Traby, Ludwig
Hackl, Matthias
Eichinger, Sabine
Shankar-Hari, Manu
Mayr, Manuel
Association of cardiometabolic microRNAs with COVID-19 severity and mortality
title Association of cardiometabolic microRNAs with COVID-19 severity and mortality
title_full Association of cardiometabolic microRNAs with COVID-19 severity and mortality
title_fullStr Association of cardiometabolic microRNAs with COVID-19 severity and mortality
title_full_unstemmed Association of cardiometabolic microRNAs with COVID-19 severity and mortality
title_short Association of cardiometabolic microRNAs with COVID-19 severity and mortality
title_sort association of cardiometabolic micrornas with covid-19 severity and mortality
topic Fast-Track Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8689968/
https://www.ncbi.nlm.nih.gov/pubmed/34755842
http://dx.doi.org/10.1093/cvr/cvab338
work_keys_str_mv AT gutmannclemens associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT khaminakseniya associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT theofilatoskonstantinos associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT diendorferandreasb associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT burnapseana associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT nabeebaccusadam associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT fishmatthew associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT mcphailmarkjw associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT ogallagherkevin associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT schmidtlukase associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT casselchristian associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT auzingergeorg associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT napolisalvatore associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT mujibsalmaf associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT trovatofrancesca associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT sandersonbarnaby associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT merrickblair associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT royroman associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT edgeworthjonathand associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT shahajaym associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT haydayadrianc associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT trabyludwig associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT hacklmatthias associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT eichingersabine associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT shankarharimanu associationofcardiometabolicmicrornaswithcovid19severityandmortality
AT mayrmanuel associationofcardiometabolicmicrornaswithcovid19severityandmortality