Evidence map›Paper›PMID 26514968›Full record

Trial reportEuropean journal of clinical pharmacology2016

Genotype and co-medication dependent CYP2D6 metabolic activity: effects on serum concentrations of aripiprazole, haloperidol, risperidone, paliperidone and zuclopenthixol.

Patteet Lisbeth, Haufroid Vincent, Maudens Kristof, Sabbe Bernard, Morrens Manuel, Neels Hugo

Erratum issuedAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. CYP2D6 pharmacogenetics and phenoconversion in personalized medicine.Expert opinion on drug metabolism & toxicology · 2022
    Review
  10. Review
  11. Review
  12. Resolving discordantPharmacogenomics · 2021
    Article
  13. Observational
  14. Article
  15. Article
  16. Review
  17. Phenoconversion of CYP2D6 by inhibitors modifies aripiprazole exposure.European archives of psychiatry and clinical neuroscience · 2020
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Patteet LisbethToxicological Centre, University of Antwerp, Universiteitsplein 1, B-2610, Antwerp, Belgium. lisbeth.patteet@uantwerp.be.
Haufroid VincentLouvain Centre for Toxicology and Applied Pharmacology, Institute de recherche expérimentale et clinique, Université catholique de Louvain, Avenue E. Mounier 53, B-1200, Brussels, Belgium.
Maudens KristofToxicological Centre, University of Antwerp, Universiteitsplein 1, B-2610, Antwerp, Belgium.
Sabbe BernardCollaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine, University of Antwerp, Universiteitsplein 1, B-2610, Antwerp, Belgium.
Morrens ManuelCollaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine, University of Antwerp, Universiteitsplein 1, B-2610, Antwerp, Belgium.
Neels HugoToxicological Centre, University of Antwerp, Universiteitsplein 1, B-2610, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTherapeutic drug monitoring (TDM) of antipsychotics can aid in therapy optimization, explaining adverse effects or non-response. One reason for therapeutic failure or adverse effects is caused by genetic variations in the cytochrome P450 drug-metabolizing genes. The aim of this study was to evaluate the impact of CYP2D6 polymorphisms on steady-state serum concentrations of antipsychotics metabolized by CYP2D6, taking into account the co-medication with CYP2D6 inhibitors.

methodsSerum and EDTA samples were collected from 82 psychiatric patients. After a liquid-liquid extraction, serum samples were analyzed using an ultra-high performance liquid chromatography-tandem mass spectrometric (UHPLC-MS/MS) method for quantification of the antipsychotics. CYP2D6 genotyping was performed using the Luminex xTAG® CYP2D6 Kit v3 (Luminex Corporation). Patients were divided into five phenotype subgroups by calculation of the activity score (AS): poor metabolizers (PM; AS 0), intermediate metabolizers (IM; AS 0.5-1), extensive metabolizers with slow activity (EM-s; AS 1-1.5), extensive metabolizers with fast activity (EM-f; AS 2), and ultra-rapid metabolizers (UM; AS >2). The influence of the phenotypes on the concentration-to-dose and metabolite-to-parent ratios was evaluated.

resultsOverall, 6.1 % UM (n = 5), 25.6 % EM-f (n = 21), 46.3 % EM-s (n = 38), 1.2 % EM-s/EM-f (n = 1), 6.1 % IM (n = 5), and 14.6 % PM (n = 12) were found, taking co-administration of strong and moderate CYP2D6 inhibitors into account (phenoconversion). It was demonstrated that CYP2D6 polymorphisms affect the serum concentrations of aripiprazole (n = 18), haloperidol (n = 11), risperidone (n = 20), and zuclopenthixol (n = 6), while no influence was seen on the paliperidone serum concentrations (n = 31).

conclusionsEven with a small number of patients per antipsychotic, the importance of CYP2D6 genotyping was still clearly stated. This study illustrates the high potential of combining TDM and CYP2D6 genotyping in clinical practice.

Indexed as

Antipsychotic AgentsAripiprazoleClopenthixolCytochrome P-450 CYP2D6HaloperidolPaliperidone PalmitateAdultAgedDrug MonitoringDrug Therapy, CombinationFemaleGenotypeHumansMaleMiddle AgedYoung AdultAntipsychotic AgentsAripiprazoleClopenthixolCytochrome P-450 CYP2D6HaloperidolPaliperidone PalmitateAntipsychoticsCYP2D6GenotypingTherapeutic drug monitoring

Identifiers

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.