Evidence map›Paper›PMID 36839597›Full record

ArticlePathogens (Basel, Switzerland)2023

Insights into Synonymous Codon Usage Bias in Hepatitis C Virus and Its Adaptation to Hosts.

Rekha Khandia, Azmat Ali Khan, Noushad Karuvantevida, Pankaj Gurjar, Igor Vladimirovich Rzhepakovsky, Isabel Legaz

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. 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
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 5 institutions in 5 countries.

Rekha KhandiaDepartment of Biochemistry and Genetics, Barkatullah University, Bhopal 462026, India.ORCID 0000-0002-9961-3127
Azmat Ali KhanPharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-5955-3783
Noushad KaruvantevidaCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai P.O. Box 505055, United Arab Emirates.ORCID 0000-0002-9836-0316
Pankaj GurjarDepartment of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW 2770, Australia.
Igor Vladimirovich RzhepakovskyMedical and Biological Faculty, North Caucasus Federal University, 355017 Stavropol, Russia.ORCID 0000-0002-2632-8923
Isabel LegazDepartment of Legal and Forensic Medicine, Biomedical Research Institute (IMIB), Regional Campus of International Excellence "Campus Mare Nostrum", Faculty of Medicine, University of Murcia, 30120 Murcia, Spain.ORCID 0000-0002-1140-4313
Barkatullah University · INKing Saud University · SAMohammed Bin Rashid University of Medicine and Health Sciences · AENorth-Caucasus Federal University · RUUniversidad de Murcia · ES

Funding

King Saud University RSP-2021/339
6 · The paper itself

Abstract

Hepatitis C virus (HCV) is enveloped RNA virus, encoding for a polyprotein that is processed by cellular proteases. The virus is responsible for liver cirrhosis, allograft rejection, and human hepatocellular carcinoma. Based on studies including compositional analysis, odds ratio analysis, parity analysis, skew analysis, relative synonymous codon usage, codon bias, and protein properties, it was evident that codon usage bias in HCV is dependent upon the nucleotide composition. Codon context analysis revealed CTC-CTG as a preferred codon pair. While CGA and CGT codons were rare, none of the codons were rare in HCV-like viruses envisaged in the present study. Many of the preferred codon pairs were valine amino acid-initiated, which possibly infers viral infectivity; hence the role of selection forces appears to act on the HCV genome, which was further validated by neutrality analysis where selection accounted for 87.28%, while mutation accounted for 12.72% force shaping codon usage. Furthermore, codon usage was correlated with the length of the genome. HCV viruses prefer valine-initiated codon pairs, while HCV-like viruses prefer alanine-initiated codon pairs. The HCV host range is very narrow and is confined to only humans and chimpanzees. Based on indices including codon usage correlation analysis, similarity index, and relative codon deoptimization index, it is evident in the study that the chimpanzee is the primary host of the virus. The present study helped elucidate the preferred host for HCV. The information presented in the study paved the way for generating an attenuated vaccine candidate through viral recoding, with finely tuned nucleotide composition and a perfect balance of preferred and rare codons.

Indexed as

allograft rejectioncodon usagehepatitis C virus (HCV)hepatocellular carcinomaliver cirrhosisliver transplantationrelative codon deoptimization indexsimilarity index

Identifiers

PMID36839597
PMCPMC9961758
OpenAlexW4320918833

What OpenQuestion holds

Textmetadata
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.