Evidence map›Paper›PMID 36266537›Full record

ArticleThe pharmacogenomics journal2023

Influence of UGT1A1 and SLC22A6 polymorphisms on the population pharmacokinetics and pharmacodynamics of raltegravir in HIV-infected adults: a NEAT001/ANRS143 sub-study.

Rohan Gurjar, Laura Dickinson, Daniel Carr, Wolfgang Stöhr, Stefano Bonora, Andrew Owen, Antonio D'Avolio, Adam Cursley, Nathalie De Castro, Gerd Fätkenheuer and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The pharmacogenomics journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

17 authors at 9 institutions in 5 countries.

Rohan GurjarDepartment of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK.
Laura DickinsonDepartment of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK. laurad@liverpool.ac.uk.ORCID 0000-0001-5557-9396
Daniel CarrDepartment of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK.
Wolfgang StöhrMRC Clinical Trials Unit at UCL, London, UK.
Stefano BonoraUnit of Infectious Diseases, University of Turin, Turin, Italy.
Andrew OwenDepartment of Pharmacology & Therapeutics, University of Liverpool, Liverpool, UK.ORCID 0000-0002-9819-7651
Antonio D'AvolioUnit of Infectious Diseases, University of Turin, Turin, Italy.
Adam CursleyMRC Clinical Trials Unit at UCL, London, UK.
Nathalie De CastroInfectious Diseases Department, AP-HP Hôpital Saint-Louis, Paris, France.
Gerd FätkenheuerUnit of Internal Medicine, University Köln, Köln, Germany.
Linos VandekerckhoveHIV Translational Research Unit, Ghent University and Ghent University Hospital, Ghent, Belgium.
Giovanni Di PerriUnit of Infectious Diseases, University of Turin, Turin, Italy.
Anton PozniakChelsea and Westminster NHS Trust, London, UK.
Christine SchwimmerUniversity of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR 1219, Bordeaux, France.
François RaffiDepartment of Infectious Diseases, Centre Hospitalier Universitaire de Nantes, and CIC 1413, INSERM, Nantes, France.
Marta BoffitoChelsea and Westminster NHS Trust, London, UK.
NEAT001/ANRS143 Study Group
University of Liverpool · GBUniversity of Turin · ITChelsea and Westminster Hospital NHS Foundation Trust · GBMRC Clinical Trials Unit at UCL · GBAssistance Publique – Hôpitaux de Paris · FRGhent University Hospital · BEInserm · FRTH Köln - University of Applied Sciences · DEUniversité de Bordeaux · FR

Funding

Medical Research Council MC_UU_00004/03
6 · The paper itself

Abstract

Using concentration-time data from the NEAT001/ARNS143 study (single sample at week 4 and 24), we determined raltegravir pharmacokinetic parameters using nonlinear mixed effects modelling (NONMEM v.7.3; 602 samples from 349 patients) and investigated the influence of demographics and SNPs (SLC22A6 and UGT1A1) on raltegravir pharmacokinetics and pharmacodynamics. Demographics and SNPs did not influence raltegravir pharmacokinetics and no significant pharmacokinetic/pharmacodynamic relationships were observed. At week 96, UGT1A1*28/*28 was associated with lower virological failure (p = 0.012), even after adjusting for baseline CD4 count (p = 0.048), but not when adjusted for baseline HIV-1 viral load (p = 0.082) or both (p = 0.089). This is the first study to our knowledge to assess the influence of SNPs on raltegravir pharmacodynamics. The lack of a pharmacokinetic/pharmacodynamic relationship is potentially an artefact of raltegravir's characteristic high inter and intra-patient variability and also suggesting single time point sampling schedules are inadequate to thoroughly assess the influence of SNPs on raltegravir pharmacokinetics.

Indexed as

Anti-HIV AgentsHIV InfectionsAdultHumansPolymorphism, GeneticRaltegravir PotassiumViral LoadAnti-HIV AgentsRaltegravir Potassium

Identifiers

PMID36266537
PMCPMC9584256
OpenAlexW4306921019

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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.