Evidence map›Paper›PMID 34152577›Full record

ArticleGenes & genomics2021

Comparative study of predicted miRNA between Indonesia and China (Wuhan) SARS-CoV-2: a bioinformatics analysis.

Agus Rahmadi, Ismaily Fasyah, Digdo Sudigyo, Arif Budiarto, Bharuno Mahesworo, Alam Ahmad Hidayat, Bens Pardamean

Abstract read
In one paragraph

Article in Genes & genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. miRNA expression in COVID-19.Gene reports · 2022
    Review
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

7 authors.

Agus RahmadiFaculty of Medicine, Universitas Muhammadiyah Prof. DR. Hamka, Jakarta, 12130, Indonesia.
Ismaily FasyahFaculty of Medicine, Universitas Muhammadiyah Prof. DR. Hamka, Jakarta, 12130, Indonesia.
Digdo SudigyoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia. digdo.sudigyo@binus.edu.ORCID 0000-0003-1541-4698
Arif BudiartoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia.
Bharuno MahesworoBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia.
Alam Ahmad HidayatBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia.
Bens PardameanBioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, 11480, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral reports on the discovery of SARS-CoV-2 mutations and variations in Indonesia COVID-19 cases led to genomic dysregulation with the first pandemic cases in Wuhan, China. MicroRNA (miRNA) plays an important role in this genetic regulation and contributes to the enhancement of viral RNA binding through the host mRNA.

objectiveThis research is aimed to detect miRNA targets of SARS-CoV-2 and examines their role in Indonesia cases against Wuhan cases.

methodsSARS-CoV-2 sequences were obtained from GISAID ( https://www.gisaid.org/ ), NCBI ( https://ncbi.nlm.nih.gov ), and National Genomics Data Center ( https://bigd.big.ac.cn/gwh/ ) databases. MiRDB ( https://github.com/gbnegrini/mirdb-custom-target-search ) was used to annotate and predict target human mature miRNAs. For statistical analysis, we utilized a series chi-square test to obtain significant miRNA. DIANA-miRPath v3.0 ( http://www.microrna.gr/miRPathv3 ) analyzed the Gene Ontology of mature miRNAs.

resultThe statistical results detected five significant miRNAs. Two miRNAs: hsa-miR-4778-5p and hsa-miR-4531 were consistently found in the majority of Wuhan samples, while they were only found in less than half of the Indonesia samples. The other three miRNA, hsa-miR-6844, hsa-miR-627-5p, and hsa-miR-3674, were discovered in most samples in both groups but with a significant difference ratio. Among these five significant miRNA targets, hsa-miR-6844 is the only miRNA that has an association with the ORF1ab gene of SARS-CoV-2.

conclusionThe Gene Ontology analysis of five significant miRNA targets indicates a significant role in inflammation and the immune system. The specific detection of host miRNAs in this study shows that there are differences in the characteristics of SARS-CoV-2 between Indonesia and Wuhan.

Indexed as

ChinaCOVID-19HumansIndonesiaMicroRNAsSARS-CoV-2Sequence Homology, Nucleic AcidMicroRNAsBioinformaticsGenome data miningIndonesiamiRNASARS-CoV-2Wuhan

Identifiers

PMID34152577
PMCPMC8215323

What OpenQuestion 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 OpenQuestion graph.