Evidence map›Paper›PMID 35130828›Full record

ArticleEmerging microbes & infections2022

Plasma miRNA profile at COVID-19 onset predicts severity status and mortality.

Asier Fernández-Pato, Ana Virseda-Berdices, Salvador Resino, Pablo Ryan, Oscar Martínez-González, Felipe Pérez-García, María Martin-Vicente, Daniel Valle-Millares, Oscar Brochado-Kith, Rafael Blancas and 10 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 5 pooled it
8.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 5 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 2 countries.

Asier Fernández-PatoUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Ana Virseda-BerdicesUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0002-9549-567X
Salvador ResinoUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0001-8783-0450
Pablo RyanCentro de Investigación Biomédica en Red de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain.
Oscar Martínez-GonzálezCritical Care Department, Hospital Universitario del Tajo, Aranjuez, Spain.
Felipe Pérez-GarcíaClinical Microbiology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain.
María Martin-VicenteUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0001-9148-1476
Daniel Valle-MillaresUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0002-5205-855X
Oscar Brochado-KithUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0001-8372-2604
Rafael BlancasCritical Care Department, Hospital Universitario del Tajo, Aranjuez, Spain.ORCID 0000-0002-7559-710X
Amalia MartínezDepartment of Infectious Diseases, Hospital Universitario Infanta Leonor, Madrid, Spain.
Francisco C CeballosUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0001-7113-7387
Sofía Bartolome-SánchezUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Erick Joan Vidal-AlcántaraUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
David AlonsoInternal Medicine Service, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain.
Natalia Blanca-LópezAllergology Department, University Hospital Infanta Leonor, Madrid, Spain.
Ignacio Ramirez Martinez-AcitoresCritical Care Department, Hospital Universitario del Tajo, Aranjuez, Spain.
Laura Martin-PedrazaDepartment of Infectious Diseases, Hospital Universitario Infanta Leonor, Madrid, Spain.
María Ángeles Jiménez-SousaUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0002-1945-6169
Amanda Fernández-RodríguezUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.ORCID 0000-0002-5110-2213
Instituto de Salud Carlos III · ESHospital Universitario del Tajo · ESHospital Universitario Infanta Leonor · ESHospital Universitario Príncipe de Asturias · ESUniversidad Complutense de Madrid · ESUniversidad de Alcalá · ESUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) have a crucial role in regulating immune response against infectious diseases, showing changes early in disease onset and before the detection of the pathogen. Thus, we aimed to analyze the plasma miRNA profile at COVID-19 onset to identify miRNAs as early prognostic biomarkers of severity and survival. METHODS AND

resultsPlasma miRNome of 96 COVID-19 patients that developed asymptomatic/mild, moderate and severe disease was sequenced together with a group of healthy controls. Plasma immune-related biomarkers were also assessed. COVID-19 patients showed 200 significant differentially expressed (SDE) miRNAs concerning healthy controls, with upregulated putative targets of SARS-CoV-2, and inflammatory miRNAs. Among COVID-19 patients, 75 SDE miRNAs were observed in asymptomatic/mild compared to symptomatic patients, which were involved in platelet aggregation and cytokine pathways, among others. Moreover, 137 SDE miRNAs were identified between severe and moderate patients, where miRNAs targeting the SARS CoV-2 genome were the most strongly disrupted. Finally, we constructed a mortality predictive risk score (miRNA-MRS) with ten miRNAs. Patients with higher values had a higher risk of 90-days mortality (hazard ratio = 4.60;

conclusionsSARS-CoV-2 infection deeply disturbs the plasma miRNome from an early stage of COVID-19, making miRNAs highly valuable as early predictors of severity and mortality.

Indexed as

COVID-19MicroRNAsBiomarkersHumansSARS-CoV-2BiomarkersMicroRNAsCOVID-19miRNAsmortalitySARS-CoV2severity

Identifiers

PMID35130828
PMCPMC8890551
OpenAlexW4210899680

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.