Evidence map›Paper›PMID 23922778›Full record

ArticlePloS one2013

Deep sequencing analysis of HCV NS3 resistance-associated variants and mutation linkage in liver transplant recipients.

Mariana E Kirst, Eric C Li, Cindy X Wang, Hui-Jia Dong, Chen Liu, Michael W Fried, David R Nelson, Gary P Wang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Article
  7. 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

8 authors at 2 institutions in 1 country.

Mariana E KirstCollege of Medicine, Department of Medicine, Division of Infectious Diseases and Global Medicine, University of Florida, Gainesville, Florida, United States of America.
Eric C Li
Cindy X Wang
Hui-Jia Dong
Chen Liu
Michael W Fried
David R Nelson
Gary P Wang
University of Florida · USUniversity of North Carolina at Chapel Hill · US

Funding

UF Clinical and Translational Science AwardUL1TR000064 · NCATS · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2012 to 2014
$12.2M
Mentoring Junior Faculty: Viral hepatitis Clinical ResearchK24DK066144 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRIED, MICHAEL W · 2004 to 2014
$1.5M
A Multidisciplinary and Translational Approach to Hepatobiliary MalignancyK24CA139570 · NCI · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2010 to 2014
$887k
HCV diversity and resistance analyzed by DNA bar coding and pyrosequencingK08AI077713 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI WANG, GARY P. · 2009 to 2012
$527k
NCATS NIH HHS UL1 TR000064NCI NIH HHS K24 CA139570NIAID NIH HHS K08 AI077713NIDDK NIH HHS K24 DK066144
6 · The paper itself

Abstract

Viral variants with decreased susceptibility to HCV protease inhibitors (PIs) occur naturally and preexist at low levels within HCV populations. In patients failing PI monotherapy, single and double mutants conferring intermediate to high-level resistance to PIs have been selected in vivo. The abundance, temporal dynamics and linkage of naturally occurring resistance-associated variants (RAVs), however, have not been characterized in detail. Here, using high-density pyrosequencing, we analyzed HCV NS3 gene segments from 20 subjects with chronic HCV infection, including 12 subjects before and after liver transplantation. Bioinformatics analysis revealed that Q80 substitution was a dominant variant in 40% of the subjects, whereas other RAVs circulate at low levels within quasispecies populations. Low frequency mutation linkage was detectable by Illumina paired-end sequencing in as low as 0.5% of the mock populations constructed from in vitro RNA transcripts but were uncommon in vivo. We show that naturally occurring RAVs are common and can persist long term following liver transplant at low levels not readily detectable by conventional sequencing. Our results indicate that mutation linkage at low levels could be identified using the Illumina paired-end approach. The methods described here should facilitate the analysis of low frequency HCV drug resistance, mutation linkage and evolution, which may inform future therapeutic strategies in patients undergoing direct acting antiviral therapies.

Indexed as

Liver TransplantationAdultFemaleHepacivirusHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutationReverse Transcriptase Polymerase Chain ReactionViral Nonstructural ProteinsViral Nonstructural Proteins

Identifiers

PMID23922778
PMCPMC3726766
OpenAlexW2057663435

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.