Evidence map›Paper›PMID 23613794›Full record

ArticlePloS one2013

In vitro HIV-1 evolution in response to triple reverse transcriptase inhibitors & in silico phenotypic analysis.

Barbara A Rath, Kaveh Pouran Yousef, David K Katzenstein, Robert W Shafer, Christof Schütte, Max von Kleist, Thomas C Merigan

Abstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Barbara A RathDepartment of Pediatrics, Division of Pneumonology-Immunology, Charité University Medical Center, Berlin, Germany.
Kaveh Pouran Yousef
David K Katzenstein
Robert W Shafer
Christof Schütte
Max von Kleist
Thomas C Merigan

Funding

Adaptation of New Statistical Ideas for MedicineR01EB002784 · NIBIB · STANFORD UNIVERSITY · PI EFRON, BRADLEY · 2003 to 2005
$557k
ADAPTATION OF NEW STATISTICAL IDEAS FOR MEDICINER01CA059039 · NCI · STANFORD UNIVERSITY · PI EFRON, BRADLEY O · 1993 to 2002
$428k
NCI NIH HHS CA59039NIBIB NIH HHS 8R01 EB002784-28NIBIB NIH HHS R01 EB002784
6 · The paper itself

Abstract

backgroundEffectiveness of ART regimens strongly depends upon complex interactions between the selective pressure of drugs and the evolution of mutations that allow or restrict drug resistance.

methodsFour clinical isolates from NRTI-exposed, NNRTI-naive subjects were passaged in increasing concentrations of NVP in combination with 1 µM 3 TC and 2 µM ADV to assess selective pressures of multi-drug treatment. A novel parameter inference procedure, based on a stochastic viral growth model, was used to estimate phenotypic resistance and fitness from in vitro combination passage experiments.

resultsNewly developed mathematical methods estimated key phenotypic parameters of mutations arising through selective pressure exerted by 3 TC and NVP. Concentrations of 1 µM 3 TC maintained the M184V mutation, which was associated with intrinsic fitness deficits. Increasing NVP concentrations selected major NNRTI resistance mutations. The evolutionary pathway of NVP resistance was highly dependent on the viral genetic background, epistasis as well as stochasticity. Parameter estimation indicated that the previously unrecognized mutation L228Q was associated with NVP resistance in some isolates.

conclusionSerial passage of viruses in the presence of multiple drugs may resemble the selection of mutations observed among treated individuals and populations in vivo and indicate evolutionary preferences and restrictions. Phenotypic resistance estimated here "in silico" from in vitro passage experiments agreed well with previous knowledge, suggesting that the unique combination of "wet-" and "dry-lab" experimentation may improve our understanding of HIV-1 resistance evolution in the future.

Indexed as

Computer SimulationAmino Acid SubstitutionDose-Response Relationship, DrugDrug Resistance, ViralGenetic FitnessHIV-1HumansKineticsMutationPhenotypeReverse Transcriptase InhibitorsSerial PassageStochastic ProcessesTime FactorsReverse Transcriptase Inhibitors

Identifiers

PMID23613794
PMCPMC3629221

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.