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DRD2 promoter region variation predicts antipsychotic-induced weight gain in first episode schizophrenia.

ABSTRACT: Many antipsychotic medications carry a substantial liability for weight gain, and one mechanism common to all antipsychotics is binding to the dopamine D2 receptor. We therefore examined the relationship between -141C Ins/Del (rs1799732), a functional promoter region polymorphism in DRD2, and antipsychotic-induced weight gain in 58 first episode schizophrenia patients enrolled in a randomized trial of risperidone versus olanzapine. Carriers of the deletion allele (n=29) were compared with Ins/Ins homozygotes (noncarriers, n=29) in a mixed model encompassing 10 weight measurements over 16 weeks. Deletion allele carriers showed significantly more weight gain after 6 weeks of treatment regardless of assigned medication. Although deletion carriers were prescribed higher doses of olanzapine (but not risperidone), dose did not seem to account for the genotype effects on weight gain. Given earlier evidence that deletion carriers show reduced symptom response to medication, additional study of appropriate treatment options for these patients seems warranted.

SUBMITTER: Lencz T

PROVIDER: S-EPMC2920359 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

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DRD2 promoter region variation predicts antipsychotic-induced weight gain in first episode schizophrenia.

Lencz Todd T Robinson Delbert G DG Napolitano Barbara B Sevy Serge S Kane John M JM Goldman David D Malhotra Anil K AK

Pharmacogenetics and genomics 20100901 9

Many antipsychotic medications carry a substantial liability for weight gain, and one mechanism common to all antipsychotics is binding to the dopamine D2 receptor. We therefore examined the relationship between -141C Ins/Del (rs1799732), a functional promoter region polymorphism in DRD2, and antipsychotic-induced weight gain in 58 first episode schizophrenia patients enrolled in a randomized trial of risperidone versus olanzapine. Carriers of the deletion allele (n=29) were compared with Ins/In ...[more]

PMID: 20664489

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Project description:BACKGROUND:Long-term treatment with antipsychotic medications in early episode schizophrenia spectrum disorders is common, but both short and long-term effects on the illness are unclear. There have been numerous suggestions that people with early episodes of schizophrenia appear to respond differently than those with multiple prior episodes. The number of episodes may moderate response to drug treatment. OBJECTIVES:To assess the effects of antipsychotic medication treatment on people with early episode schizophrenia spectrum disorders. SEARCH STRATEGY:We searched the Cochrane Schizophrenia Group register (July 2007) as well as references of included studies. We contacted authors of studies for further data. SELECTION CRITERIA:Studies with a majority of first and second episode schizophrenia spectrum disorders comparing initial antipsychotic medication treatment with placebo, milieu, or psychosocial treatment. DATA COLLECTION AND ANALYSIS:Working independently, we critically appraised records from 681studies, of which five studies met inclusion criteria. John Rathbone from the Schizophrenia Group supported us with the data extraction. We calculated risk ratios (RR) and their 95% confidence intervals (CI) where possible. For continuous data, we calculated mean difference (MD). We calculated numbers needed to treat/harm (NNT/NNH) where appropriate. MAIN RESULTS:Five studies with a combined N = 998 met inclusion criteria. Four studies (N = 724) provided leaving the study early data and results suggested that individuals treated with a typical antipsychotic medication are less likely to leave the study early than those treated with placebo (Chlorpromazine: 3 RCTs N = 353, RR 0.4 CI 0.3 to 0.5, NNT 3.2, Fluphenaxine: 1 RCT N = 240, RR 0.5 CI 0.3 to 0.8, NNT 5; Thioridazine: 1 RCT N = 236, RR 0.44 CI 0.3 to 0.7, NNT 4.3, Trifulperazine: 1 RCT N = 94, RR 0.96 CI 0.3 to 3.6). Two studies (Cole 1964; May 1976) contributed data to assessment of side effects and present a general pattern of more frequent side effects among individuals treated with typical antipsychotic medications compared to placebo. Rappaport 1978 suggested a higher rehospitalisation rate for those receiving chlorpromazine compared to placebo (N = 80, RR 2.29 CI 1.3 to 4.0, NNH 2.9). However, a higher attrition in the placebo group is likely to have introduced a survivor bias into this comparison, as this difference becomes non-significant in a sensitivity analysis on intent-to-treat participants (N = 127, RR 1.69 CI 0.9 to 3.0). One study (May 1976) contributes data to a comparison of trifluoperazine to psychotherapy on long-term health in favour of the trifluoperazine group (N = 92, MD 5.8 CI 1.6 to 0.0); however, data from this study are also likely to contain biases due to selection and attrition. One study (Mosher 1995) contributes data to a comparison of typical antipsychotic medication to psychosocial treatment on six-week outcome measures of global psychopathology (N = 89, MD 0.01 CI -0.6 to 0.6) and global improvement (N = 89, MD -0.03 CI -0.5 to 0.4), indicating no between-group differences. On the whole, there is very little useable data in the few studies meeting inclusion criteria. AUTHORS' CONCLUSIONS:With only a few studies meeting inclusion criteria, and with limited useable data in these studies, it is not possible to arrive at definitive conclusions. The preliminary pattern of evidence suggests that people with early episode schizophrenia treated with typical antipsychotic medications are less likely to leave the study early, but more likely to experience medication-related side effects. Data are too sparse to assess the effects of antipsychotic medication on outcomes in early episode schizophrenia.

Project description:BackgroundAntipsychotic-induced weight gain is a contributing factor in the reduced life expectancy reported amongst people with psychotic disorders. CYP2D6 is a liver enzyme involved in the metabolism of many commonly used antipsychotic medications. We investigated if CYP2D6 genetic variation influenced weight or BMI among people taking antipsychotic treatment.MethodsWe conducted a systematic review and a random effects meta-analysis of publications in Pubmed, Embase, PsychInfo, and CENTRAAL that had BMI and/or weight measurements of patients on long-term antipsychotics by their CYP2D6-defined metabolic groups (poor, intermediate, normal/extensive, and ultra-rapid metabolizers, UMs).ResultsTwelve studies were included in the systematic review. All cohort studies suggested that the presence of reduced-function or non-functional alleles for CYP2D6 was associated with greater antipsychotic-induced weight gain, whereas most cross-sectional studies did not find any significant associations. Seventeen studies were included in the meta-analysis with clinical data of 2,041 patients, including 93 poor metabolizers (PMs), 633 intermediate metabolizers (IMs), 1,272 normal metabolizers (NMs), and 30 UMs. Overall, we did not find associations in any of the comparisons made. The estimated pooled standardized differences for the following comparisons were (i) PM versus NM; weight = -0.07 (95%CI: -0.49 to 0.35, p = 0.74), BMI = 0.40 (95%CI: -0.19 to 0.99, p = 0.19). (ii) IM versus NM; weight = 0.09 (95% CI: -0.04 to 0.22, p = 0.16) and BMI = 0.09 (95% CI: -0.24 to 0.41, p = 0.60). (iii) UM versus EM; weight = 0.01 (95% CI: -0.37 to 0.40, p = 0.94) and BMI = -0.08 (95%CI: -0.57 to 0.42, p = 0.77).ConclusionOur systematic review of cohort studies suggested that CYP2D6 poor metabolizers have higher BMI than normal metabolizers, but the data of cross-sectional studies and the meta-analysis did not show this association. Although our review and meta-analysis constitutes one of the largest studies with comprehensively genotyped samples, the literature is still limited by small numbers of participants with genetic variants resulting in poor or UMs status. We need further studies with larger numbers of extreme metabolizers to establish its clinical utility in antipsychotic treatment. CYP2D6 is a key gene for personalized prescribing in mental health.

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DRD2 promoter region variation predicts antipsychotic-induced weight gain in first episode schizophrenia.

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DRD2 promoter region variation predicts antipsychotic-induced weight gain in first episode schizophrenia.

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