Evidence map›Paper›PMID 26129906›Full record

ArticleClinical pharmacokinetics2015

Genetics-Based Population Pharmacokinetics and Pharmacodynamics of Risperidone in a Psychiatric Cohort.

Frederik Vandenberghe, Monia Guidi, Eva Choong, Armin von Gunten, Philippe Conus, Chantal Csajka, Chin B Eap

Open access · greenAbstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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
3.6field-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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

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  18. Frontiers in genetics · 2021
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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

7 authors at 3 institutions in 1 country.

Frederik VandenbergheUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, 1008, Prilly, Switzerland.
Monia GuidiDivision of Clinical Pharmacology, Department of Laboratories, Lausanne University Hospital, Lausanne, Switzerland.
Eva ChoongUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, 1008, Prilly, Switzerland.
Armin von GuntenService of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly, Switzerland.
Philippe ConusService of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, 1008, Prilly, Switzerland.
Chantal CsajkaDivision of Clinical Pharmacology, Department of Laboratories, Lausanne University Hospital, Lausanne, Switzerland.
Chin B EapUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Hospital of Cery, Lausanne University Hospital, 1008, Prilly, Switzerland. chin.eap@chuv.ch.
University of Geneva · CHHôpital de Cery · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh interindividual variability in plasma concentrations of risperidone and its active metabolite, 9-hydroxyrisperidone, may lead to suboptimal drug concentration.

objectiveUsing a population pharmacokinetic approach, we aimed to characterize the genetic and non-genetic sources of variability affecting risperidone and 9-hydroxyrisperidone pharmacokinetics, and relate them to common side effects.

methodsOverall, 150 psychiatric patients (178 observations) treated with risperidone were genotyped for common polymorphisms in NR1/2, POR, PPARα, ABCB1, CYP2D6 and CYP3A genes. Plasma risperidone and 9-hydroxyrisperidone were measured, and clinical data and common clinical chemistry parameters were collected. Drug and metabolite concentrations were analyzed using non-linear mixed effect modeling (NONMEM(®)). Correlations between trough concentrations of the active moiety (risperidone plus 9-hydroxyrisperidone) and common side effects were assessed using logistic regression and linear mixed modeling.

resultsThe cytochrome P450 (CYP) 2D6 phenotype explained 52% of interindividual variability in risperidone pharmacokinetics. The area under the concentration-time curve (AUC) of the active moiety was found to be 28% higher in CYP2D6 poor metabolizers compared with intermediate, extensive and ultrarapid metabolizers. No other genetic markers were found to significantly affect risperidone concentrations. 9-hydroxyrisperidone elimination was decreased by 26% with doubling of age. A correlation between trough predicted concentration of the active moiety and neurologic symptoms was found (p = 0.03), suggesting that a concentration >40 ng/mL should be targeted only in cases of insufficient, or absence of, response.

conclusionsGenetic polymorphisms of CYP2D6 play an important role in risperidone, 9-hydroxyrisperidone and active moiety plasma concentration variability, which were associated with common side effects. These results highlight the importance of a personalized dosage adjustment during risperidone treatment.

Indexed as

AdultAntipsychotic AgentsCross-Sectional StudiesCytochrome P-450 CYP2D6FemaleHumansLongitudinal StudiesMaleMental DisordersModels, BiologicalPaliperidone PalmitatePolymorphism, GeneticProlactinRetrospective StudiesRisperidoneAntipsychotic AgentsCytochrome P-450 CYP2D6Paliperidone PalmitateProlactinRisperidone

Identifiers

PMID26129906
OpenAlexW1940764637

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.