Evidence map›Paper›PMID 23031662›Full record

ArticleRetrovirology2012

Treatment-associated polymorphisms in protease are significantly associated with higher viral load and lower CD4 count in newly diagnosed drug-naive HIV-1 infected patients.

Kristof Theys, Koen Deforche, Jurgen Vercauteren, Pieter Libin, David Amc van de Vijver, Jan Albert, Birgitta Asjö, Claudia Balotta, Marie Bruckova, Ricardo J Camacho and 26 more

Open access · goldAbstract read
In one paragraph

Article in Retrovirology, 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
2.1field-weighted citation impact, top 14% 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, 25 citations in OpenAlex.

  1. Article
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  6. Decoding HIV resistance: from genotype to therapy.Future medicinal chemistry · 2017
    Review
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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

36 authors at 20 institutions in 21 countries.

Kristof TheysRega Institute for Medical Research, Katholieke Universiteit Leuven, Leuven, Belgium. kristof.theys@uzleuven.be
Koen Deforche
Jurgen Vercauteren
Pieter Libin
David Amc van de Vijver
Jan Albert
Birgitta Asjö
Claudia Balotta
Marie Bruckova
Ricardo J Camacho
Bonaventura Clotet
Suzie Coughlan
Zehava Grossman
Osamah Hamouda
Andrzei Horban
Klaus Korn
Leondios G Kostrikis
Claudia Kücherer
Claus Nielsen
Dimitrios Paraskevis
Mario Poljak
Elisabeth Puchhammer-Stockl
Chiara Riva
Lidia Ruiz
Kirsi Liitsola
Jean-Claude Schmit
Rob Schuurman
Anders Sönnerborg
Danica Stanekova
Maja Stanojevic
Daniel Struck
Kristel Van Laethem
Annemarie Mj Wensing
Charles Ab Boucher
Anne-Mieke Vandamme
SPREAD-programme
University Medical Center Utrecht · NLCentre Hospitalier de Luxembourg · LUKU Leuven · BEMETALogic (Belgium) · BERobert Koch Institute · DEUniversidade Nova de Lisboa · PTUniversity of Milan · ITErasmus MC · NLFinnish Institute for Health and Welfare · FIFundació Lluita contra les Infeccions · ESHospital Universitari Germans Trias i Pujol · ESKarolinska Institutet · SEKarolinska University Hospital · SEMedical University of Vienna · ATMedical University of Warsaw · PLNational and Kapodistrian University of Athens · GRNational Institute of Public Health · CZRega Institute for Medical Research · BESlovak Medical University · SKStatens Serum Institut · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe effect of drug resistance transmission on disease progression in the newly infected patient is not well understood. Major drug resistance mutations severely impair viral fitness in a drug free environment, and therefore are expected to revert quickly. Compensatory mutations, often already polymorphic in wild-type viruses, do not tend to revert after transmission. While compensatory mutations increase fitness during treatment, their presence may also modulate viral fitness and virulence in absence of therapy and major resistance mutations. We previously designed a modeling technique that quantifies genotypic footprints of in vivo treatment selective pressure, including both drug resistance mutations and polymorphic compensatory mutations, through the quantitative description of a fitness landscape from virus genetic sequences.

resultsGenotypic correlates of viral load and CD4 cell count were evaluated in subtype B sequences from recently diagnosed treatment-naive patients enrolled in the SPREAD programme. The association of surveillance drug resistance mutations, reported compensatory mutations and fitness estimated from drug selective pressure fitness landscapes with baseline viral load and CD4 cell count was evaluated using regression techniques. Protease genotypic variability estimated to increase fitness during treatment was associated with higher viral load and lower CD4 cell counts also in treatment-naive patients, which could primarily be attributed to well-known compensatory mutations at highly polymorphic positions. By contrast, treatment-related mutations in reverse transcriptase could not explain viral load or CD4 cell count variability.

conclusionsThese results suggest that polymorphic compensatory mutations in protease, reported to be selected during treatment, may improve the replicative capacity of HIV-1 even in absence of drug selective pressure or major resistance mutations. The presence of this polymorphic variation may either reflect a history of drug selective pressure, i.e. transmission from a treated patient, or merely be a result of diversity in wild-type virus. Our findings suggest that transmitted drug resistance has the potential to contribute to faster disease progression in the newly infected host and to shape the HIV-1 epidemic at a population level.

Indexed as

CD4 Lymphocyte CountPolymorphism, GeneticViral LoadAdultAnti-HIV AgentsDrug Resistance, ViralFemaleHIV-1HIV InfectionsHumansMalePeptide HydrolasesProspective StudiesViral ProteinsAnti-HIV AgentsPeptide HydrolasesViral Proteins

Identifiers

PMID23031662
PMCPMC3487874
OpenAlexW2095849509

What OpenQuestion holds

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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.