Evidence map›Paper›PMID 34901760›Full record

ArticleAdvances in cell and gene therapy2021

Identification of homologous human miRNAs as antivirals towards COVID-19 genome.

Jitender Singh, Ashvinder Raina, Namrata Sangwan, Arushi Chauhan, Krishan L Khanduja, Pramod K Avti

Open access · greenAbstract read
In one paragraph

Article in Advances in cell and gene therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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.

Jitender SinghDepartment of Biophysics Postgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India.
Ashvinder RainaPostgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India.
Namrata SangwanDepartment of Biophysics Postgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India.
Arushi ChauhanDepartment of Biophysics Postgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India.
Krishan L KhandujaDepartment of Biophysics Postgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India.
Pramod K AvtiDepartment of Biophysics Postgraduate Institute of Medical Education and Research (PGIMER) Chandigarh India.ORCID https://orcid.org/0000-0001-5603-4523
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 fatality rate is ~57% worldwide. The investigation of possible antiviral therapy using host microRNA (miRNA) to inhibit viral replication and transmission is the need of the hour. Computational techniques were used to predict the hairpin precursor miRNA (pre-miRNAs) of COVID-19 genome with high homology towards human (host) miRNA. Top 21 host miRNAs with >80% homology towards 18 viral pre miRNAs were identified. The Gibbs free energy (ΔG) between host miRNAs and viral pre-miRNAs hybridization resulted in the best 5 host miRNAs having the highest base-pair complementarity. miR-4476 had the strongest binding with viral pre-miRNA (ΔG = -21.8 kcal/mol) due to maximum base pairing in the seed sequence. Pre-miR-651 secondary structure was most stable due to the (1) least minimum free energy (ΔG = -24.4 kcal/mol), energy frequency, and noncanonical base pairing and (2) maximum number of stem base pairing and small loop size. Host miRNAs-viral mRNAs interaction can effectively inhibit viral transmission and replication. Furthermore, miRNAs gene network and gene-ontology studies indicate top 5 host miRNAs interaction with host genes involved in transmembrane-receptor signaling, cell migration, RNA splicing, nervous system formation, and tumor necrosis factor-mediated signaling in respiratory diseases. This study identifies host miRNA/virus pre-miRNAs strong interaction, structural stability, and their gene-network analysis provides strong evidence of host miRNAs as antiviral COVID-19 agents.

Indexed as

antiviralCOVID‐19Gibbs free energyhairpin loophomologous miRNAhybridizationontology

Identifiers

PMID34901760
PMCPMC8646656
OpenAlexW3201603724

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.