Evidence map›Paper›PMID 36032130›Full record

ArticleFrontiers in immunology2022

Circulating microRNA signatures associated with disease severity and outcome in COVID-19 patients.

Alessandra Giannella, Silvia Riccetti, Alessandro Sinigaglia, Chiara Piubelli, Elisa Razzaboni, Piero Di Battista, Matteo Agostini, Emanuela Dal Molin, Riccardo Manganelli, Federico Gobbi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

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  13. IsomiR stoichiometry changes as disease biomarkers.Molecular therapy. Nucleic acids · 2025
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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

12 authors at 3 institutions in 1 country.

Alessandra GiannellaDepartment of Medicine, University of Padova, Padova, Italy.
Silvia RiccettiDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Alessandro SinigagliaDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Chiara PiubelliDepartment of Infectious-Tropical Diseases and Microbiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Sacro Cuore Don Calabria Hospital, Verona, Italy.
Elisa RazzaboniDepartment of Infectious-Tropical Diseases and Microbiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Sacro Cuore Don Calabria Hospital, Verona, Italy.
Piero Di BattistaMaternal and Child Health Department, University of Padova, Padova, Italy.
Matteo AgostiniDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Emanuela Dal MolinDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Riccardo ManganelliDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Federico GobbiDepartment of Infectious-Tropical Diseases and Microbiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Sacro Cuore Don Calabria Hospital, Verona, Italy.
Giulio CeolottoDepartment of Medicine, University of Padova, Padova, Italy.
Luisa BarzonDepartment of Molecular Medicine, University of Padova, Padova, Italy.
University of Padua · ITOspedale Sacro Cuore Don Calabria · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: SARS-CoV-2 induces a spectrum of clinical conditions ranging from asymptomatic infection to life threatening severe disease. Host microRNAs have been involved in the cytokine storm driven by SARS-CoV-2 infection and proposed as candidate biomarkers for COVID-19. Methods: To discover signatures of circulating miRNAs associated with COVID-19, disease severity and mortality, small RNA-sequencing was performed on serum samples collected from 89 COVID-19 patients (34 severe, 29 moderate, 26 mild) at hospital admission and from 45 healthy controls (HC). To search for possible sources of miRNAs, investigation of differentially expressed (DE) miRNAs in relevant human cell types Results: COVID-19 patients showed upregulation of miRNAs associated with lung disease, vascular damage and inflammation and downregulation of miRNAs that inhibit pro-inflammatory cytokines and chemokines, angiogenesis, and stress response. Compared with mild/moderate disease, patients with severe COVID-19 had a miRNA signature indicating a profound impairment of innate and adaptive immune responses, inflammation, lung fibrosis and heart failure. A subset of the DE miRNAs predicted mortality. In particular, a combination of high serum miR-22-3p and miR-21-5p, which target antiviral response genes, and low miR-224-5p and miR-155-5p, targeting pro-inflammatory factors, discriminated severe from mild/moderate COVID-19 (AUROC 0.88, 95% CI 0.80-0.95, p<0.0001), while high leukocyte count and low levels of miR-1-3p, miR-23b-3p, miR-141-3p, miR-155-5p and miR-4433b-5p predicted mortality with high sensitivity and specificity (AUROC 0.95, 95% CI 0.89-1.00, p<0.0001). Conclusions: We discovered circulating miRNAs associated with COVID-19 severity and mortality. The identified DE miRNAs provided clues on COVID-19 pathogenesis, highlighting signatures of impaired interferon and antiviral responses, inflammation, organ damage and cardiovascular failure as associated with severe disease and death.

Indexed as

Circulating MicroRNACOVID-19MicroRNAsAntiviral AgentsHumansInflammationSARS-CoV-2Severity of Illness IndexAntiviral AgentsCirculating MicroRNAMicroRNAsMIRN224 microRNA, humanbiomarkersCOVID-19inflammationinnate immunityinterferonmicroRNARNA-sequencingSARS-CoV-2

Identifiers

PMID36032130
PMCPMC9403711
OpenAlexW4291015889

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.