Evidence map›Paper›PMID 37520333›Full record

ArticleHuman gene (Amsterdam, Netherlands)2023

In silico identification of potential miRNAs -mRNA inflammatory networks implicated in the pathogenesis of COVID-19.

Somayeh Hashemi Sheikhshabani, Zeinab Amini-Farsani, Parastoo Modarres, Zahra Amini-Farsani, Sharareh Khazaei Feyzabad, Nasibeh Shaygan, Bashdar Mahmud Hussen, Mir Davood Omrani, Soudeh Ghafouri-Fard

Open access · greenAbstract read
In one paragraph

Article in Human gene (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 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

9 authors at 5 institutions in 3 countries.

Somayeh Hashemi SheikhshabaniStudent Research Committee, Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zeinab Amini-FarsaniDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Parastoo ModarresDepartment of Cell and Molecular Biology and Microbiology, University of Isfahan, Isfahan, Iran.
Zahra Amini-FarsaniBayesian Imaging and Spatial Statistics Group, Institute of Statistics, Ludwig-Maximilian-Universität München, Ludwigstraße 33, 80539 Munich, Germany.
Sharareh Khazaei FeyzabadDepartment of Laboratory Sciences, School of Paramedical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran.
Nasibeh ShayganDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Bashdar Mahmud HussenDepartment of Pharmacognosy, College of Pharmacy, Hawler Medical University, Kurdistan Region, Erbil, Iraq.
Mir Davood OmraniUrogenital Stem Cell Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Soudeh Ghafouri-FardDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRHawler Medical University · IQLudwig-Maximilians-Universität München · DEUniversity of Isfahan · IRZahedan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has been found to affect the expression profile of several mRNAs and miRNAs, leading to dysregulation of a number of signaling pathways, particularly those related to inflammatory responses. In the current study, a systematic biology procedure was used for the analysis of high-throughput expression data from blood specimens of COVID-19 and healthy individuals. Differentially expressed miRNAs in blood specimens of COVID-19 vs. healthy specimens were then identified to construct and analyze miRNA-mRNA networks and predict key miRNAs and genes in inflammatory pathways. Our results showed that 171 miRNAs were expressed as outliers in box plot and located in the critical areas according to our statistical analysis. Among them, 8 miRNAs, namely miR-1275, miR-4429, miR-4489, miR-6721-5p, miR-5010-5p, miR-7110-5p, miR-6804-5p and miR-6881-3p were found to affect expression of key genes in NF-KB, JAK/STAT and MAPK signaling pathways implicated in COVID-19 pathogenesis. In addition, our results predicted that 25 genes involved in above-mentioned inflammatory pathways were targeted not only by these 8 miRNAs but also by other obtained miRNAs (163 miRNAs). The results of the current in silico study represent candidate targets for further studies in COVID-19.

Indexed as

COVID-19InflammationJAK-STATMAPKMicroRNA (miRNA)NF-κB

Identifiers

PMID37520333
PMCPMC10085880
OpenAlexW4364378442

What Socratic holds

Textmetadata
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 Socratic graph.