Evidence map›Paper›PMID 22927817›Full record

Trial reportPLoS pathogens2012

Quantifying the diversification of hepatitis C virus (HCV) during primary infection: estimates of the in vivo mutation rate.

Ruy M Ribeiro, Hui Li, Shuyi Wang, Mark B Stoddard, Gerald H Learn, Bette T Korber, Tanmoy Bhattacharya, Jeremie Guedj, Erica H Parrish, Beatrice H Hahn and 2 more

Open access · goldAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PLoS pathogens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
8.8field-weighted citation impact, top 2% 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

80 citing papers in PubMed, 152 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Frontiers in microbiology · 2024
    Article
  11. Article
  12. Article
  13. Viral proteases as therapeutic targets.Molecular aspects of medicine · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. [Development approaches for vaccines against hepatitis C virus infections].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
    Review
  18. Review
  19. Novel and emerging mutations of SARS-CoV-2: Biomedical implications.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
  20. A Review of Hepatitis B Virus and Hepatitis C Virus Immunopathogenesis.Journal of clinical and translational hepatology · 2021
    Review

20 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Ruy M RibeiroTheoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Hui Li
Shuyi Wang
Mark B Stoddard
Gerald H Learn
Bette T Korber
Tanmoy Bhattacharya
Jeremie Guedj
Erica H Parrish
Beatrice H Hahn
George M Shaw
Alan S Perelson
University of Pennsylvania · USLos Alamos National Laboratory · US

Funding

Viral Sequencing CoreU19AI067854 · NIAID · DUKE UNIVERSITY · PI LETVIN, NORMAN L · 2006 to 2011
$290.5M
Virology CoreP30AI027767 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OLAF KUTSCH · 1988 to 2026
$84.1M
Virus & Reservoirs CoreP30AI045008 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ROBERT GROSS · 1999 to 2026
$78.6M
UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2003 to 2011
$16.7M
Viral and Host Determinants of HIV-1 TransmissionU01AI067854 · NIAID · DUKE UNIVERSITY · PI HAYNES, BARTON F · 2005 to 2005
$14.9M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Immune System Modeling/HIVR37AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 2002 to 2011
$2.4M
NCRR NIH HHS P20 RR018754NCRR NIH HHS P20-RR018754NIAID NIH HHS AI028433NIAID NIH HHS AI27767NIAID NIH HHS AI45008NIAID NIH HHS AI67854NIAID NIH HHS P30 AI027767NIAID NIH HHS P30 AI045008NIAID NIH HHS R01 AI028433NIAID NIH HHS R37 AI028433NIAID NIH HHS U01 AI067854NIAID NIH HHS U19 AI067854NIH HHS 8R01-OD011095-21NIH HHS R01 OD011095
6 · The paper itself

Abstract

Hepatitis C virus (HCV) is present in the host with multiple variants generated by its error prone RNA-dependent RNA polymerase. Little is known about the initial viral diversification and the viral life cycle processes that influence diversity. We studied the diversification of HCV during acute infection in 17 plasma donors, with frequent sampling early in infection. To analyze these data, we developed a new stochastic model of the HCV life cycle. We found that the accumulation of mutations is surprisingly slow: at 30 days, the viral population on average is still 46% identical to its transmitted viral genome. Fitting the model to the sequence data, we estimate the median in vivo viral mutation rate is 2.5×10⁻⁵ mutations per nucleotide per genome replication (range 1.6-6.2×10⁻⁵), about 5-fold lower than previous estimates. To confirm these results we analyzed the frequency of stop codons (N = 10) among all possible non-sense mutation targets (M = 898,335), and found a mutation rate of 2.8-3.2×10⁻⁵, consistent with the estimate from the dynamical model. The slow accumulation of mutations is consistent with slow turnover of infected cells and replication complexes within infected cells. This slow turnover is also inferred from the viral load kinetics. Our estimated mutation rate, which is similar to that of other RNA viruses (e.g., HIV and influenza), is also compatible with the accumulation of substitutions seen in HCV at the population level. Our model identifies the relevant processes (long-lived cells and slow turnover of replication complexes) and parameters involved in determining the rate of HCV diversification.

Indexed as

Models, BiologicalMutation RateAcute DiseaseFemaleHepacivirusHepatitis CHumansMaleTime FactorsViral Load

Identifiers

PMID22927817
PMCPMC3426522
OpenAlexW2061146727

What OpenQuestion holds

Textmetadata
LicenceCC0
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.