Evidence map›Paper›PMID 36166345›Full record

ArticleJournal of clinical laboratory analysis2022

Screening for differentially expressed microRNAs in BALF and blood samples of infected COVID-19 ARDS patients by small RNA deep sequencing.

Reza Najafipour, Davood Mohammadi, Zohreh Estaki, Kiana Zarabadi, Manijeh Jalilvand, Sahar Moghbelinejad

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 17 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

6 authors at 3 institutions in 1 country.

Reza NajafipourGenetics Research Center, The University of Social Welfare and Rehabilitation Science, Tehran, Iran.ORCID https://orcid.org/0000-0001-6042-8314
Davood MohammadiDepartment of Surgery, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
Zohreh EstakiDepartment of Pediatric Dentistry, School of Dentistry, Qazvin University of Medical Sciences, Qazvin, Iran.
Kiana ZarabadiDepartment of Medical Genetics, School of Medicine, Tarbiat Modares University, Tehran, Iran.
Manijeh JalilvandResearch Institute for Prevention of Non-Communicable Diseases, Cellular and Molecular Research Centre, Qazvin University of Medical Sciences, Qazvin, Iran.
Sahar MoghbelinejadResearch Institute for Prevention of Non-Communicable Diseases, Cellular and Molecular Research Centre, Qazvin University of Medical Sciences, Qazvin, Iran.ORCID https://orcid.org/0000-0002-7653-8689
Qazvin University of Medical Sciences · IRTarbiat Modares University · IRUniversity of Social Welfare and Rehabilitation Sciences · IR

Funding

Cellular and molecular research center of the Qazvin University of Medical Science
6 · The paper itself

Abstract

backgroundThe pandemic COVID-19 has caused a high mortality rate and poses a significant threat to the population of the entire world. Due to the novelty of this disease, the pathogenic mechanism of the disease and the host cell's response are not yet fully known, so lack of evidence prevents a definitive conclusion about treatment strategies. The current study employed a small RNA deep-sequencing approach for screening differentially expressed microRNA (miRNA) in blood and bronchoalveolar fluid (BALF) samples of acute respiratory distress syndrome (ARDS) patients.

methodsIn this study, BALF and blood samples were taken from patients with ARDS (n = 5). Control samples were those with suspected lung cancer candidates for lung biopsy (n = 3). Illumina high-throughput (HiSeq 2000) sequencing was performed to identify known and novel miRNAs differentially expressed in the blood and BALFs of ARDS patients compared with controls.

resultsResults showed 2234 and 8324 miRNAs were differentially expressed in blood and BALF samples, respectively. In BALF samples, miR-282, miR-15-5p, miR-4485-3p, miR-483-3p, miR-6891-5p, miR-200c, miR-4463, miR-483-5p, and miR-98-5p were upregulated and miR-15a-5p, miR-548c-5p, miR-548d-3p, miR-365a-3p, miR-3939, miR-514-b-5p, miR-513a-3p, miR-513a-5p, miR-664a-3p, and miR-766-3p were downregulated. On the contrary, in blood samples miR-15b-5p, miR-18a-3p, miR-486-3p, miR-486-5p, miR-146a-5p, miR-16-2-3p, miR-6501-5p, miR-365-3p, miR-618, and miR-623 were top upregulated miRNAs and miR-21-5p, miR-142a-3p, miR-181-a, miR-31-5p, miR-99-5p, miR-342-5p, miR-183-5p, miR-627-5p, and miR-144-3p were downregulated miRNAs. Network functional analysis for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), in ARDS patients' blood and BALF samples, showed that the target genes were more involved in activating inflammatory and apoptosis process.

conclusionBased on our results, the transcriptome profile of ARDS patients would be a valuable source for understanding molecular mechanisms of host response and developing clinical guidance on anti-inflammatory medication.

Indexed as

COVID-19MicroRNAsRespiratory Distress SyndromeGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNAMicroRNAsCOVID-19gene ontologymicroRNAsrespiratory distress syndromeRNA sequencing

Identifiers

PMID36166345
PMCPMC9539155
OpenAlexW4297250652

What OpenQuestion holds

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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.