Evidence map›Paper›PMID 35186962›Full record

ArticleFrontiers in medicine2021

Bronchial Aspirate-Based Profiling Identifies MicroRNA Signatures Associated With COVID-19 and Fatal Disease in Critically Ill Patients.

Marta Molinero, Iván D Benítez, Jessica González, Clara Gort-Paniello, Anna Moncusí-Moix, Fátima Rodríguez-Jara, María C García-Hidalgo, Gerard Torres, J J Vengoechea, Silvia Gómez and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 35 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

24 authors at 6 institutions in 1 country.

Marta MolineroTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Iván D BenítezTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Jessica GonzálezTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Clara Gort-PanielloTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Anna Moncusí-MoixTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Fátima Rodríguez-JaraTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
María C García-HidalgoTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Gerard TorresTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
J J VengoecheaTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Silvia GómezTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Ramón CaboTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Jesús CaballeroIntensive Care Department, University Hospital Arnau de Vilanova, IRBLleida, Lleida, Spain.
Jesús F Bermejo-MartinCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Adrián CeccatoCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Laia Fernández-BaratCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Ricard FerrerCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Dario Garcia-GasullaBarcelona Supercomputing Center (BSC), Barcelona, Spain.
Rosario MenéndezCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Ana MotosCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Oscar PeñuelasCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Jordi RieraCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Antoni TorresCIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain.
Ferran BarbéTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
David de Gonzalo-CalvoTranslational Research in Respiratory Medicine, University Hospital Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESBiomedical Research Institute of Lleida · ESHospital Universitari Arnau de Vilanova · ESInstituto de Salud Carlos III · ESBarcelona Supercomputing Center · ESVall d'Hebron Institut de Recerca · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pathophysiology of COVID-19-related critical illness is not completely understood. Here, we analyzed the microRNA (miRNA) profile of bronchial aspirate (BAS) samples from COVID-19 and non-COVID-19 patients admitted to the ICU to identify prognostic biomarkers of fatal outcomes and to define molecular pathways involved in the disease and adverse events.

methodsTwo patient populations were included (

resultsThe deregulation in five miRNA ratios (miR-122-5p/miR-199a-5p, miR-125a-5p/miR-133a-3p, miR-155-5p/miR-486-5p, miR-214-3p/miR-222-3p, and miR-221-3p/miR-27a-3p) was observed when COVID-19 and non-COVID-19 patients were compared. In addition, five miRNA ratios segregated between ICU survivors and nonsurvivors (miR-1-3p/miR-124-3p, miR-125b-5p/miR-34a-5p, miR-126-3p/miR-16-5p, miR-199a-5p/miR-9-5p, and miR-221-3p/miR-491-5p). Through multivariable analysis, we constructed a miRNA ratio-based prediction model for ICU mortality that optimized the best combination of miRNA ratios (miR-125b-5p/miR-34a-5p, miR-199a-5p/miR-9-5p, and miR-221-3p/miR-491-5p). The model (AUC 0.85) and the miR-199a-5p/miR-9-5p ratio (AUC 0.80) showed an optimal discrimination value and outperformed the best clinical predictor for ICU mortality (days from first symptoms to IMV initiation, AUC 0.73). The survival analysis confirmed the usefulness of the miRNA ratio model and the individual ratio to identify patients at high risk of fatal outcomes following IMV initiation. Functional enrichment analyses identified pathological mechanisms implicated in fibrosis, coagulation, viral infections, immune responses and inflammation.

conclusionsCOVID-19 induces a specific miRNA signature in BAS from critically ill patients. In addition, specific miRNA ratios in BAS samples hold individual and collective potential to improve risk-based patient stratification following IMV initiation in COVID-19-related critical illness. The biological role of the host miRNA profiles may allow a better understanding of the different pathological axes of the disease.

Indexed as

acute respiratory distress syndromeCOVID-19mechanical ventilationmicroRNASARS-CoV-2

Identifiers

PMID35186962
PMCPMC8850692
OpenAlexW4210322378

What Socratic holds

Textmetadata
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 Socratic graph.