Evidence map›Paper›PMID 23155338›Full record

ArticleWorld journal of gastroenterology2012

Quasispecies dynamics in main core epitopes of hepatitis B virus by ultra-deep-pyrosequencing.

Maria Homs, Maria Buti, David Tabernero, Josep Quer, Alex Sanchez, Noelia Corral, Rafael Esteban, Francisco Rodriguez-Frias

Open access · hybridAbstract read
In one paragraph

Article in World journal of gastroenterology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Impact of RNA Virus Evolution on Quasispecies Formation and Virulence.International journal of molecular sciences · 2019
    Review
  3. Article
  4. Article
  5. Observational
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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

8 authors at 1 institution in 2 countries.

Maria HomsNetwork Medical Research Center, Hepatic and Digestive Diseases-CIBERehd, Institute of Health Carlos III, 08036 Barcelona, Spain.
Maria Buti
David Tabernero
Josep Quer
Alex Sanchez
Noelia Corral
Rafael Esteban
Francisco Rodriguez-Frias
University of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the variability of the main immunodominant motifs of hepatitis B virus (HBV) core gene by ultra-deep-pyrosequencing (UDPS).

methodsFour samples (2 genotype A and 2 genotype D) from 4 treatment-naïve patients were assessed for baseline variability. Two additional samples from one patient (patient 4, genotype D) were selected for analysis: one sample corresponded to a 36-mo treatment-free period from baseline and the other to the time of viral breakthrough after 18 mo of lamivudine treatment. The HBV region analyzed covered amino acids 40 to 95 of the core gene, and included the two main epitopic regions, Th50-69 and B74-84. UDPS was carried out in the Genome Sequencer FLX system (454 Life Sciences, Roche). After computer filtering of UDPS data based on a Poisson statistical model, 122,813 sequences were analyzed. The most conserved position detected by UDPS was analyzed by site-directed mutagenesis and evaluated in cell culture.

resultsPositions with highest variability rates were mainly located in the main core epitopes, confirming their role as immune-stimulating regions. In addition, the distribution of variability showed a relationship with HBV genotype. Patient 1 (genotype A) presented the lowest variability rates and patient 2 (genotype A) had 3 codons with variability higher than 1%. Patient 3 and 4 (both genotype D) presented 5 and 8 codons with variability higher than 1%, respectively. The median baseline frequencies showed that genotype A samples had higher variability in epitopic positions than in the other positions analyzed, approaching significance (P = 0.07, sample 1 and P = 0.05, sample 2). In contrast, there were no significant differences in variability between the epitopic and other positions in genotype D cases. Interestingly, patient 1 presented a completely mutated motif from amino acid 64 to 67 (E₆₄LMT₆₇), which is commonly recognized by T helper cells. Additionally, the variability observed in all 4 patients was particularly associated with the E₆₄LMT₆₇ motif. Codons 78 and 79 were highly conserved in all samples, in keeping with their involvement in the interaction between the HBV virion capsid and the surface antigens (HBsAg). Of note, codon 76 was even more conserved than codons 78 and 79, suggesting a possible role in HBsAg interactions or even in hepatitis B e antigen conformation. Sequential analysis of samples from patient 4 (genotype D) illustrated the dynamism of the HBV quasispecies, with strong selection of one minor baseline variant coinciding with a decrease in core variability during the treatment-free and lamivudine-treated period. The drop in variability seemed to result from a "steady state" situation of the HBV quasispecies after selection of the variant with greatest fitness.

conclusionHost immune pressure seems to be the main cause of HBV core evolution. UDPS analysis is a useful technique for studying viral quasispecies.

Indexed as

High-Throughput Nucleotide SequencingAdultAmino Acid SequenceAntiviral AgentsBase SequenceCell Line, TumorDatabases, GeneticDrug Resistance, ViralFemaleGenetic VariationGenotypeHepatitis B, ChronicHepatitis B Core AntigensHepatitis B virusHumansImmunodominant EpitopesAntiviral AgentsHepatitis B Core AntigensImmunodominant EpitopesEpitopesHepatitis B virusLinkage analysisQuasispeciesUltra-deep-pyrosequencing

Identifiers

PMID23155338
PMCPMC3496886
OpenAlexW2157012071

What OpenQuestion holds

Textmetadata
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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.