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10.1093/cvr/cvab338

http://scihub22266oqcxt.onion/10.1093/cvr/cvab338
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34755842!8689968!34755842
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suck abstract from ncbi


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pmid34755842      Cardiovasc+Res 2022 ; 118 (2): 461-474
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  • Association of cardiometabolic microRNAs with COVID-19 severity and mortality #MMPMID34755842
  • Gutmann C; Khamina K; Theofilatos K; Diendorfer AB; Burnap SA; Nabeebaccus A; Fish M; McPhail MJW; O'Gallagher K; Schmidt LE; Cassel C; Auzinger G; Napoli S; Mujib SF; Trovato F; Sanderson B; Merrick B; Roy R; Edgeworth JD; Shah AM; Hayday AC; Traby L; Hackl M; Eichinger S; Shankar-Hari M; Mayr M
  • Cardiovasc Res 2022[Jan]; 118 (2): 461-474 PMID34755842show ga
  • 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.
  • |*SARS-CoV-2[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Biomarkers[MESH]
  • |COVID-19/complications/genetics/*mortality[MESH]
  • |Cardiometabolic Risk Factors[MESH]
  • |Female[MESH]
  • |High-Throughput Nucleotide Sequencing[MESH]
  • |Humans[MESH]
  • |Intensive Care Units[MESH]
  • |Male[MESH]
  • |MicroRNAs/*blood[MESH]
  • |Middle Aged[MESH]


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