Evidence map›Paper›PMID 34320442›Full record

ArticleComputers in biology and medicine2021

Decrypting the role of predicted SARS-CoV-2 miRNAs in COVID-19 pathogenesis: A bioinformatics approach.

Motiur Rahaman, Jaikrishna Komanapalli, Mandrita Mukherjee, Prasanna Kumar Byram, Sunanda Sahoo, Nishant Chakravorty

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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  13. Therapeutic prospects of ceRNAs in COVID-19.Frontiers in cellular and infection microbiology · 2022
    Review
  14. Frontiers in pharmacology · 2022
    Article
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 1 institution in 1 country.

Motiur RahamanSchool of Medical Science and Technology, IIT Kharagpur, Kharagpur, Paschim Medinipur, West Bengal, 721302, India.
Jaikrishna KomanapalliDepartment of Biotechnology, IIT Kharagpur, Kharagpur, Paschim Medinipur, West Bengal, 721302, India.
Mandrita MukherjeeSchool of Medical Science and Technology, IIT Kharagpur, Kharagpur, Paschim Medinipur, West Bengal, 721302, India.
Prasanna Kumar ByramSchool of Medical Science and Technology, IIT Kharagpur, Kharagpur, Paschim Medinipur, West Bengal, 721302, India.
Sunanda SahooSchool of Medical Science and Technology, IIT Kharagpur, Kharagpur, Paschim Medinipur, West Bengal, 721302, India.
Nishant ChakravortySchool of Medical Science and Technology, IIT Kharagpur, Kharagpur, Paschim Medinipur, West Bengal, 721302, India. Electronic address: nishant@smst.iitkgp.ac.in.
Indian Institute of Technology Kharagpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a highly transmissible virus causing the ongoing global pandemic, COVID-19. Evidence suggests that viral and host microRNAs play pivotal roles in progression of such infections. The decisive impact of viral miRNAs and their putative targets in modulating the transcriptomic profile of its host, however remains unexplored. We hypothesized that the SARS-CoV-2 derived miRNAs can potentially play a contributory role in its pathogenicity and aid in its survival. A series of computational tools predicted 34 SARS-CoV-2 encoded miRNAs and their putative targets in the host. Immune and apoptotic pathways were identified as most enriched pathways. Further investigation using a dataset of SARS-CoV-2 infected cells (available from public repository- GSE150392) revealed that 46 genes related to immune and apoptosis-related functions were deregulated. Of these 46 genes, 42 genes were identified to be significantly up-regulated and 4 genes were down-regulated. In silico analysis revealed all of the these significantly down-regulated genes to be putative targets of 9 out of 34 of our predicted viral miRNAs. Overall, 123 out of 324 genes that are differentially regulated in SARS-CoV2 infected cells, and also identified as putative targets of viral miRNAs, were found to be significantly down-regulated. KEGG pathway analysis using these genes revealed p53 signaling as the most enriched pathway - a pathway that is known to influence immune responses. This study thus provides the theoretical foundation for the underlying molecular mechanisms involved in progression of viral pathogenesis.

Indexed as

COVID-19MicroRNAsComputational BiologyHumansRNA, ViralSARS-CoV-2MicroRNAsRNA, ViralApoptosisCOVID-19 pathogenesisFunctional enrichmentImmune systemmiRNASARS-CoV-2

Identifiers

PMID34320442
PMCPMC8294073
OpenAlexW3183990044

What OpenQuestion holds

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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.