Evidence map›Paper›PMID 19440701›Full record

ArticleEuropean journal of clinical pharmacology2009

Influence of pharmacogenetics on indinavir disposition and short-term response in HIV patients initiating HAART.

Julie Bertrand, Jean-Marc Treluyer, Xavière Panhard, Agnes Tran, Solange Auleley, Elisabeth Rey, Dominique Salmon-Céron, Xavier Duval, France Mentré, COPHAR2-ANRS 111 Study Group

Open access · greenAbstract read
In one paragraph

Article in European journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Reduced indinavir exposure during pregnancy.British journal of clinical pharmacology · 2013
    Article
  5. Clinical pharmacokinetics of antiretroviral drugs in older persons.Expert opinion on drug metabolism & toxicology · 2013
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

10 authors at 4 institutions in 1 country.

Julie BertrandUMR 738, INSERM, Université Paris Diderot, UFR de Médecine, 16, rue Henri Huchard, 75018, Paris, France. julie.bertrand@inserm.fr
Jean-Marc Treluyer
Xavière Panhard
Agnes Tran
Solange Auleley
Elisabeth Rey
Dominique Salmon-Céron
Xavier Duval
France Mentré
COPHAR2-ANRS 111 Study Group
Inserm · FRUniversité Paris Cité · FRUniversité Claude Bernard Lyon 1 · FRHôpital Cochin · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo assess the relationship between genetic polymorphisms and indinavir pharmacokinetic variability and to study the link between concentrations and short-term response or metabolic safety.

methodsForty protease inhibitor-naive patients initiating highly active antiretroviral therapy (HAART) including indinavir/ritonavir and enrolled in the COPHAR 2-ANRS 111 trial were studied. At week 2, four blood samples were taken before and up to 6 h following drug intake. A population pharmacokinetic analysis was performed using the stochastic approximation expectation maximization (SAEM) algorithm implemented in MONOLIX software. The area under the concentration-time curve (AUC) and maximum (C(max)) and trough concentrations (C(trough)) of indinavir were derived from the population model and tested for their correlation with short-term viral response and safety measurements, while for ritonavir, these same three parameters were tested for their correlation with short-term biochemical safety

resultsA one-compartment model with first-order absorption and elimination best described both indinavir and ritonavir concentrations. For indinavir, the estimated clearance and volume of distribution were 22.2 L/h and 97.3 L, respectively. The eight patients with the *1B/*1B genotype for the CYP3A4 gene showed a 70% decrease in absorption compared to those with the *1A/*1B or *1A/*1A genotypes (0.5 vs. 2.1, P = 0.04, likelihood ratio test by permutation). The indinavir AUC and C(trough) were positively correlated with the decrease in human immunodeficiency virus RNA between week 0 and week 2 (r = 0.4, P = 0.03 and r = -0.4, P = 0.03, respectively). Patients with the *1B/*1B genotype also had a significantly lower indinavir C(max) (median 3.6, range 2.1-5.2 ng/mL) than those with the *1A/*1B or *1A/*1A genotypes (median 4.4, range 2.2-8.3 ng/mL) (P = 0.04) and a lower increase in triglycerides during the first 4 weeks of treatment (median 0.1, range -0.7 to 1.4 vs. median 0.6, range -0.5 to 1.7 mmol/L, respectively; P = 0.02). For ritonavir, the estimated clearance and volume of distribution were 8.3 L/h and 60.7 L, respectively, and concentrations were not found to be correlated to biochemical safety. Indinavir and ritonavir absorption rate constants were found to be correlated, as well as their apparent volumes of distribution and clearances, indicating correlated bioavailability of the two drugs.

conclusionThe CYP3A4*1B polymorphism was found to influence the pharmacokinetics of indinavir and, to some extent, the biochemical safety of indinavir.

Indexed as

Antiretroviral Therapy, Highly ActiveHIV-1PharmacogeneticsAdultAnti-HIV AgentsArea Under CurveClinical Trials as TopicCohort StudiesCytochrome P-450 CYP3AFemaleGenotypeHIV InfectionsHIV Protease InhibitorsHumansIndinavirMaleAnti-HIV AgentsCYP3A4 protein, humanCytochrome P-450 CYP3AHIV Protease InhibitorsIndinavir

Identifiers

PMID19440701
PMCPMC2908290
OpenAlexW2081752205

What OpenQuestion holds

Textmetadata
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.