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Association of miR-144 levels in the peripheral blood with COVID-19 severity and mortality

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Autor
Madè A., Greco S., Vausort M., Miliotis M., Schordan E., Baksi S., Zhang L., Baryshnikova E., Ranucci M., Cardani R., Fagherazzi G., Ollert M., Tastsoglou S., Vatsellas G., Hatzigeorgiou A., Firat H., Devaux Y., Martelli F.
Fecha
2022
Language
en
DOI
10.1038/s41598-022-23922-2
Materia
biological marker
epidermal growth factor
interleukin 10
microRNA
MIRN144 microRNA, human
genetics
human
Biomarkers
COVID-19
Epidermal Growth Factor
Humans
Interleukin-10
MicroRNAs
Nature Research
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Resumen
Coronavirus disease-2019 (COVID-19) can be asymptomatic or lead to a wide symptom spectrum, including multi-organ damage and death. Here, we explored the potential of microRNAs in delineating patient condition and predicting clinical outcome. Plasma microRNA profiling of hospitalized COVID-19 patients showed that miR-144-3p was dynamically regulated in response to COVID-19. Thus, we further investigated the biomarker potential of miR-144-3p measured at admission in 179 COVID-19 patients and 29 healthy controls recruited in three centers. In hospitalized patients, circulating miR-144-3p levels discriminated between non-critical and critical illness (AUCmiR-144-3p = 0.71; p = 0.0006), acting also as mortality predictor (AUCmiR-144-3p = 0.67; p = 0.004). In non-hospitalized patients, plasma miR-144-3p levels discriminated mild from moderate disease (AUCmiR-144-3p = 0.67; p = 0.03). Uncontrolled release of pro-inflammatory cytokines can lead to clinical deterioration. Thus, we explored the added value of a miR-144/cytokine combined analysis in the assessment of hospitalized COVID-19 patients. A miR-144-3p/Epidermal Growth Factor (EGF) combined score discriminated between non-critical and critical hospitalized patients (AUCmiR-144-3p/EGF = 0.81; p < 0.0001); moreover, a miR-144-3p/Interleukin-10 (IL-10) score discriminated survivors from nonsurvivors (AUCmiR-144-3p/IL-10 = 0.83; p < 0.0001). In conclusion, circulating miR-144-3p, possibly in combination with IL-10 or EGF, emerges as a noninvasive tool for early risk-based stratification and mortality prediction in COVID-19. © 2022, The Author(s).
URI
http://hdl.handle.net/11615/76056
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