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Updated: Oct 14, 2025

Digital PCR for Quantifying Circulating MicroRNAs in Acute Myocardial Infarction and Cardiovascular Disease
Published on: July 3, 2018
Association of cardiometabolic microRNAs with COVID-19 severity and mortality
Clemens Gutmann1, Kseniya Khamina2, Konstantinos Theofilatos1
1King's College London British Heart Foundation Centre, School of Cardiovascular Medicine and Sciences, 125 Coldharbour Lane, London SE5 9NU, UK.
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.
Insights
Circulating microRNAs (miRNAs) in blood can indicate COVID-19 severity and intensive care unit (ICU) mortality. Specific miRNAs, like miR-133a and miR-122, show promise in predicting patient outcomes.
Area of Science:
- Biochemistry
- Molecular Biology
- Immunology
Background:
- Coronavirus disease 2019 (COVID-19) is associated with multiorgan damage.
- Circulating microRNAs (miRNAs) in blood serve as biomarkers for cellular activation and tissue injury.
- Understanding miRNA profiles can offer insights into COVID-19 pathogenesis and prognosis.
Purpose of the Study:
- To investigate the association between circulating miRNAs and COVID-19 severity.
- To determine the correlation of specific miRNAs with 28-day intensive care unit (ICU) mortality in COVID-19 patients.
- To compare the predictive performance of miRNAs against established COVID-19 severity markers.
Main Methods:
- RNA-sequencing (RNA-Seq) was performed on plasma from healthy controls and COVID-19 patients (non-severe and severe).
- Selected miRNAs were quantified using reverse transcription quantitative polymerase chain reaction (RT-qPCR) in independent cohorts.
- Longitudinal miRNA measurements were conducted in ICU patients, alongside proteomics and clinical data analysis.
Main Results:
- A total of 60 miRNAs were differentially expressed based on COVID-19 severity, including platelet-, endothelial-, hepatocyte-, and cardiomyocyte-derived miRNAs.
- Increased miR-133a and decreased miR-122 levels were associated with 28-day ICU mortality.
- While RNAemia, age, and troponin predicted mortality, miR-133a and miR-122 demonstrated superior classification for severity, improving predictions when combined with established markers.
Conclusions:
- Circulating miRNAs, originating from various tissues, increase with COVID-19 severity and are linked to cardiometabolic biomarkers.
- MyomiR miR-133a and liver-derived miR-122 are associated with 28-day mortality, reflecting myocyte damage and hepatic acute phase response, respectively.
- Combinations of miRNAs with established markers enhance the classification performance for COVID-19 severity and mortality.
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