Evidence map›Paper›PMID 22623804›Full record

ArticleJournal of virology2012

Unexpected maintenance of hepatitis C viral diversity following liver transplantation.

Rebecca R Gray, Samantha L Strickland, Nazle M Veras, Maureen M Goodenow, Oliver G Pybus, Stanley M Lemon, Michael W Fried, David R Nelson, Marco Salemi

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Inconsistent temporal patterns of genetic variation of HCV among high-risk subjects may impact inference of transmission networks.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2019
    Article
  4. Article
  5. Complex patterns of Hepatitis-C virus longitudinal clustering in a high-risk population.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Article
  6. Article
  7. Article
  8. Effect of scavenger receptor class B type I antagonist ITX5061 in patients with hepatitis C virus infection undergoing liver transplantation.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2016
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

9 authors at 3 institutions in 2 countries.

Rebecca R GrayDepartment of Zoology, University of Oxford, Oxford, United Kingdom. rebecca.gray@zoo.ox.ac.uk
Samantha L Strickland
Nazle M Veras
Maureen M Goodenow
Oliver G Pybus
Stanley M Lemon
Michael W Fried
David R Nelson
Marco Salemi
University of Florida · USUniversity of North Carolina at Chapel Hill · USUniversity of Oxford · GB

Funding

UF CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR029890 · NCRR · UNIVERSITY OF FLORIDA · PI NELSON, DAVID R · 2009 to 2011
$14.4M
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
Medical Research CouncilNCATS NIH HHS UL1 TR000064NCI NIH HHS K24 CA139570NCI NIH HHS T32 CA912629NCRR NIH HHS UL1 RR029890NIDDK NIH HHS K24 DK066144
6 · The paper itself

Abstract

Chronic hepatitis C virus (HCV) infection can lead to liver cirrhosis in up to 20% of individuals, often requiring liver transplantation. Although the new liver is known to be rapidly reinfected, the dynamics and source of the reinfecting virus(es) are unclear, resulting in some confusion concerning the relationship between clinical outcome and viral characteristics. To clarify the dynamics of liver reinfection, longitudinal serum viral samples from 10 transplant patients were studied. Part of the E1/E2 region was sequenced, and advanced phylogenetic analysis methods were used in a multiparameter analysis to determine the history and ancestry of reinfecting lineages. Our results demonstrated the complexity of HCV evolutionary dynamics after liver transplantation, in which a large diverse population of viruses is transmitted and maintained for months to years. As many as 30 independent lineages in a single patient were found to reinfect the new liver. Several later posttransplant lineages were more closely related to older pretransplant viruses than to viruses detected immediately after transplantation. Although our data are consistent with a number of interpretations, the persistence of high viral genetic variation over long periods of time requires an active mechanism. We discuss possible scenarios, including frequency-dependent selection or variation in selective pressure among viral subpopulations, i.e., the population structure. The latter hypothesis, if correct, could have relevance to the success of newer direct-acting antiviral therapies.

Indexed as

Liver TransplantationViral LoadAdultAgedCluster AnalysisGenetic VariationHepacivirusHepatitis C, ChronicHumansLongitudinal StudiesMaleMiddle AgedMolecular Sequence DataPhylogenySequence Analysis, DNAViral Envelope ProteinsE1 protein, Hepatitis C virusglycoprotein E2, Hepatitis C virusViral Envelope Proteins

Identifiers

PMID22623804
PMCPMC3421713
OpenAlexW2126799260

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.