Evidence map›Paper›PMID 25575025›Full record

ArticleRetrovirology2014

Persistence of frequently transmitted drug-resistant HIV-1 variants can be explained by high viral replication capacity.

Marieke Pingen, Annemarie M J Wensing, Katrien Fransen, Annelies De Bel, Dorien de Jong, Andy I M Hoepelman, Emmanouil Magiorkinis, Dimitrios Paraskevis, Maja M Lunar, Mario Poljak and 3 more

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Guideline
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Trends in the Molecular Epidemiology and Genetic Mechanisms of Transmitted Human Immunodeficiency Virus Type 1 Drug Resistance in a Large US Clinic Population.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  10. Comparison of anJournal of clinical microbiology · 2018
    Article
  11. Decoding HIV resistance: from genotype to therapy.Future medicinal chemistry · 2017
    Review
  12. Article
  13. Article
  14. 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

13 authors at 6 institutions in 4 countries.

Marieke Pingen
Annemarie M J Wensing
Katrien Fransen
Annelies De Bel
Dorien de Jong
Andy I M Hoepelman
Emmanouil Magiorkinis
Dimitrios Paraskevis
Maja M Lunar
Mario Poljak
Monique Nijhuis
Charles A B BoucherDepartment of Virology, Viroscience Lab, Erasmus MC, Postbus 2040, Rotterdam, 3000 CA, the Netherlands. c.boucher@erasmusmc.nl.
SPREAD programme
University Medical Center Utrecht · NLNational Public Health Organization · GRUniversity of Ljubljana · SIErasmus MC · NLInstituut voor Tropische Geneeskunde · BEUniversitair Ziekenhuis Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn approximately 10% of newly diagnosed individuals in Europe, HIV-1 variants harboring transmitted drug resistance mutations (TDRM) are detected. For some TDRM it has been shown that they revert to wild type while other mutations persist in the absence of therapy. To understand the mechanisms explaining persistence we investigated the in vivo evolution of frequently transmitted HIV-1 variants and their impact on in vitro replicative capacity.

resultsWe selected 31 individuals infected with HIV-1 harboring frequently observed TDRM such as M41L or K103N in reverse transcriptase (RT) or M46L in protease. In all these samples, polymorphisms at non-TDRM positions were present at baseline (median protease: 5, RT: 6). Extensive analysis of viral evolution of protease and RT demonstrated that the majority of TDRM (51/55) persisted for at least a year and even up to eight years in the plasma. During follow-up only limited selection of additional polymorphisms was observed (median: 1).To investigate the impact of frequently observed TDRM on the replication capacity, mutant viruses were constructed with the most frequently encountered TDRM as site-directed mutants in the genetic background of the lab strain HXB2. In addition, viruses containing patient-derived protease or RT harboring similar TDRM were made. The replicative capacity of all viral variants was determined by infecting peripheral blood mononuclear cells and subsequently monitoring virus replication. The majority of site-directed mutations (M46I/M46L in protease and M41L, M41L + T215Y and K103N in RT) decreased viral replicative capacity; only protease mutation L90M did not hamper viral replication. Interestingly, most patient-derived viruses had a higher in vitro replicative capacity than the corresponding site-directed mutant viruses.

conclusionsWe demonstrate limited in vivo evolution of protease and RT harbouring frequently observed TDRM in the plasma. This is in line with the high in vitro replication capacity of patient-derived viruses harbouring TDRM compared to site-directed mutant viruses harbouring TDRM. As site-directed mutant viruses have a lower replication capacity than the patient-derived viruses with similar mutational patterns, we propose that (baseline) polymorphisms function as compensatory mutations improving viral replication capacity.

Indexed as

MutationVirus ReplicationDrug Resistance, ViralFemaleHIV-1HIV ProteaseHIV Reverse TranscriptaseHumansMaleMutagenesis, Site-DirectedHIV ProteaseHIV Reverse Transcriptasep16 protease, Human immunodeficiency virus 1reverse transcriptase, Human immunodeficiency virus 1

Identifiers

PMID25575025
PMCPMC4263067
OpenAlexW2162598081

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.