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D2 receptor genetic variation and clinical response to antipsychotic drug treatment: a meta-analysis.

ABSTRACT: Several lines of evidence suggest that antipsychotic drug efficacy is mediated by dopamine type 2 (D(2)) receptor blockade. Therefore, it seems plausible that variation in the DRD(2) gene is associated with clinical response to antipsychotic drug treatment. The authors conducted the first meta-analysis to examine the relationship between DRD2 polymorphisms and antipsychotic drug response.A MEDLINE search of articles available up to December 31, 2008, yielded 18 prospective studies examining DRD2 gene variation and antipsychotic response in schizophrenia patients; of which, 10 independent studies met criteria for inclusion. Clinical response to antipsychotic treatment was defined as a 50% reduction of either the Brief Psychiatric Rating Scale total score or Positive and Negative Syndrome Scale total score at approximately 8 weeks of follow-up evaluation. Odds ratio was the primary effect-size measure and computed for each polymorphism in each study. Sufficient data were available for two DRD2 polymorphisms: -141C Ins/Del and Taq1A.Six studies reported results for the -141C Ins/Del polymorphism (total sample size: N=687). The Del allele carrier was significantly associated with poorer antipsychotic drug response relative to the Ins/Ins genotype. Eight studies assessed the Taq1A polymorphism and antipsychotic response (total sample size: N=748). There was no significant difference in the response rate among A1 allele carriers relative to individuals with the A2/A2 genotype or A2 allele carriers relative to individuals with the A1/A1 genotype.The DRD2 genetic variation is associated with clinical response to antipsychotic drug treatment. These data may provide proof-of-principle for pharmacogenetic studies in schizophrenia.

SUBMITTER: Zhang JP

PROVIDER: S-EPMC2896457 | biostudies-literature | 2010 Jul

REPOSITORIES: biostudies-literature

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D2 receptor genetic variation and clinical response to antipsychotic drug treatment: a meta-analysis.

Zhang Jian-Ping JP Lencz Todd T Malhotra Anil K AK

The American journal of psychiatry 20100301 7

<h4>Objective</h4>Several lines of evidence suggest that antipsychotic drug efficacy is mediated by dopamine type 2 (D(2)) receptor blockade. Therefore, it seems plausible that variation in the DRD(2) gene is associated with clinical response to antipsychotic drug treatment. The authors conducted the first meta-analysis to examine the relationship between DRD2 polymorphisms and antipsychotic drug response.<h4>Method</h4>A MEDLINE search of articles available up to December 31, 2008, yielded 18 p ...[more]

PMID: 20194480

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Project description:Because increasing placebo response rates decrease drug-placebo differences and increase the number of failed trials, it is imperative to determine what is causing this trend.To investigate the relationship between antipsychotic medication and placebo response by publication year, and to identify associated study design and implementation variables.MEDLINE, PsycINFO, and PubMed were searched to identify randomized clinical trials of antipsychotic medications published from 1960 to July 2013.Included were randomized clinical trials lasting 4 to 24 weeks, contrasting antipsychotic medication with placebo or an active comparator, and enrolling patients 18 years of age or older with schizophrenia or schizoaffective disorder.Standardized mean change scores were calculated for each treatment arm, plotted against publication year, and tested with Spearman rank correlation coefficients. Hierarchical linear modeling identified factors associated with the standardized mean change across medication and placebo treatment arms.We hypothesized that the mean change in placebo-treated patients would significantly increase from 1960 to the present, that a greater change would be observed in active comparator vs placebo-controlled trials, and that more protocol visits would increase the symptom change observed.In the 105 trials examined, the mean change observed in placebo arms increased significantly with year of publication (n=39, r=0.52, P=.001), while the mean change in effective dose medication arms decreased significantly (n=208, r=-0.26, P<.001). Significant interactions were found between assignment to effective dose medication and publication year (t260=-5.55, P<.001), baseline severity (t260=5.08, P<.001), and study duration (t260=-3.76, P<.001), indicating that the average drug-placebo difference significantly decreased over time, with decreasing baseline severity and with increasing study duration. Medication treatment in comparator studies was associated with significantly more improvement than medication treatment in placebo-controlled trials (t93=2.73, P=.008).The average treatment change associated with placebo treatment in antipsychotic trials increased since 1960, while the change associated with medication treatment decreased. Changes in randomized clinical trials leading to inflation of baseline scores, enrollment of less severely ill participants, and higher expectations of patients may all be responsible.

Project description:Differences in efficacy between antipsychotics and placebo in schizophrenia trials have decreased over the past decades. Previous studies have tried to identify potential explanatory factors focusing on response to placebo; however, it is still not clear which factors, if any, specifically moderate drug-response, as they may be different from those moderating placebo-response. Therefore, in this meta-regression analysis we explore whether there is an interaction between drug-response and placebo-response in terms of effect size. We systematically searched multiple electronic databases, ClinicalTrials.gov, and the US Food and Drug Administration website for randomized, placebo-controlled trials investigating the efficacy of antipsychotics in patients with acute schizophrenia (last update: October 2016). The main outcome was the change on the Brief Psychiatric Rating Scale or the Positive and Negative Syndrome Scale score from baseline to endpoint after at least 3 weeks of treatment. Multiple patient-, design-, and drug-related potential predictors of response were analyzed by meta-regressions, as predefined in the study protocol. Overall, 167 trials with 28,102 participants were included. Publication year, the number of participants and sites, mean dose, minimum severity threshold as an inclusion criterion, chronicity, industry sponsorship, type of rating scale, diagnostic criteria, and number of medications had a different impact on drug and placebo response. By contrast, baseline severity, duration of wash-out, study duration, and study region affected drug and placebo response in a similar way without a net effect on effect sizes. No other factors had a significant effect on either drug-response or placebo-response. In conclusion, as individual moderators may have different impact on placebo-response and drug-response, it is important to consider also the specific factors influencing drug-response in order to fully understand the difference between antipsychotics and placebo. These results shed further light on the phenomenon of decreasing effect size of antipsychotics for schizophrenia over time and should help design future randomized controlled trials in the field (Prospero registration number CRD42013003342).

Dataset Information

D2 receptor genetic variation and clinical response to antipsychotic drug treatment: a meta-analysis.

Publications

D2 receptor genetic variation and clinical response to antipsychotic drug treatment: a meta-analysis.

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