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Association of miR-144 levels in the peripheral blood with COVID-19 severity and mortality.
Madè, Alisia; Greco, Simona; Vausort, Melanie; Miliotis, Marios; Schordan, Eric; Baksi, Shounak; Zhang, Lu; Baryshnikova, Ekaterina; Ranucci, Marco; Cardani, Rosanna; Fagherazzi, Guy; Ollert, Markus; Tastsoglou, Spyros; Vatsellas, Giannis; Hatzigeorgiou, Artemis; Firat, Hüseyin; Devaux, Yvan; Martelli, Fabio.
  • Madè A; Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, MI, Italy.
  • Greco S; Molecular Cardiology Laboratory, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, MI, Italy.
  • Vausort M; Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1445, Strassen, Luxembourg.
  • Miliotis M; Hellenic Pasteur Institute, 11521, Athens, Greece.
  • Schordan E; DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131, Lamia, Greece.
  • Baksi S; Firalis SA, 35 Rue du Fort, 68330, Huningue, France.
  • Zhang L; Cardiovascular Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1445, Strassen, Luxembourg.
  • Baryshnikova E; Bioinformatics Platform, Luxembourg Institute of Health, L-1445 Strassen, Luxembourg.
  • Ranucci M; Department of Cardiovascular Anesthesia and ICU, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, MI, Italy.
  • Cardani R; Department of Cardiovascular Anesthesia and ICU, IRCCS Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, MI, Italy.
  • Fagherazzi G; BioCor Biobank, UOC SMEL-1 of Clinical Pathology, Department of Pathology and Laboratory Medicine, IRCCS-Policlinico San Donato, Via Morandi 30, 20097, San Donato Milanese, MI, Italy.
  • Ollert M; Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, 1 A-B Rue Thomas Edison, 1445, Strassen, Luxembourg.
  • Tastsoglou S; Department of Infection and Immunity, Luxembourg Institute of Health, 29, Rue Henri Koch, 4354, Esch-Sur-Alzette, Luxembourg.
  • Vatsellas G; Department of Dermatology and Allergy Center, Odense Research Center for Anaphylaxis (ORCA), University of Southern Denmark, 5000, Odense, Denmark.
  • Hatzigeorgiou A; Hellenic Pasteur Institute, 11521, Athens, Greece.
  • Firat H; DIANA-Lab, Department of Computer Science and Biomedical Informatics, University of Thessaly, 35131, Lamia, Greece.
  • Devaux Y; Greek Genome Center, Biomedical Research Foundation, Academy of Athens, 11527, Athens, Greece.
  • Martelli F; Hellenic Pasteur Institute, 11521, Athens, Greece.
Sci Rep ; 12(1): 20048, 2022 Nov 21.
Article in English | MEDLINE | ID: covidwho-2133612
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: MicroRNAs / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-23922-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: MicroRNAs / COVID-19 Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-23922-2