Evidence map›Paper›PMID 24130599›Full record

ArticleHepatitis monthly2013

Heterogeneity and new epitopes of hepatitis C virus genotype 4.

Moataza H Omran, Wael Nabil, Samar S Youssef, Mervat El-Sayed, Mostafa K El Awady

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis monthly, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 4 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

5 authors at 2 institutions in 1 country.

Moataza H OmranMicrobial Biotechnology Department, Genetic Engineering Division, National Research Centre, Dokki Cairo, Egypt.
Wael Nabil
Samar S Youssef
Mervat El-Sayed
Mostafa K El Awady
National Research Centre · EGCairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) was found to have a major role in human liver disease by its ability to face the host-cell defenses and the immune system. Heterogeneity of HCV was the key for its adaptation to its host and represented a significant hurdle for the development of both effective vaccines as well as for novel therapeutic interventions.

objectivesDue to the heterogeneity of HCV virus because of both high replication and high mutation rate in vivo, this study was conducted to analyze different isolates of Egyptian patients of genotype 4, of the most mutant regions of the virus (E1 and E2) as they played an important role in viral persistence by escaping from the immune system of the host body. PATIENTS AND

methodsThis study was conducted through PCR amplification of E1 and E2 regions, sequencing and phylogenetic analysis, calculating synonyms and non-synonyms substitutions, finding the possible glycosylation sites and different epitope domains.

resultsThe present work figured out that the heterogeneity of the quasispecies of our local strains 4a was high showing up 15% diversity. This study also showed four glycosylation sites that play an important role in the entry of the virus and protein folding. Besides, different epitpoes were identified in different regions of the E1 and E2 domains; a finding which would help in determining the neutralizing and non- neutralizing antibodies.

conclusionsThis study would help in understanding the driving forces of genetic diversity and would be fundamental for representing potential candidate targets for antibodies and the development of vaccine trials.

Indexed as

EpitopesHepacivirusPhylogenetic AnalysisPolysaccharides

Identifiers

PMID24130599
PMCPMC3796197
OpenAlexW1992744044

What OpenQuestion holds

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LicenceCC BY
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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.