Some dopaminergic genes polymorphisms are not associated with response to antipsychotic drugs in schizophrenic patients

Association of DRD2, DRD4 and COMT genes variants and their gene-gene interactions with antipsychotic treatment response in patients with schizophrenia

Antipsychotic drugs are the first line of treatment in schizophrenia; although antipsychotic responses indicate a wide interindividual variety in patients with schizophrenia. This study aimed to investigate the association between four polymorphisms in DRD2, DRD4 and COMT genes and their gene-gene interactions with antipsychotic treatment response in patients with schizophrenia. A total of 101 patients with schizophrenia were recruited and stratified in treatment responder and treatment resistant groups based on the published criteria of resistant to treatment using PANSS. Clinical and demographic factors were analyzed. Genomic DNA was extracted from whole blood and genotyping for the four polymorphisms were done by ARMS-PCR, PCR-RFLP and gap-PCR. Gene-gene interactions were analyzed by logistic regression. In case of DRD2 A-241G, G allele was significantly associated with resistant to treatment. Regarding DRD4 120-bp duplication, 240/240 genotype was significantly associated with resistant to treatment comparing to other genotypes in a dominant model. The genotype combination of DRD4 240/240 and COMT Val/Val was significantly associated with treatment resistant. Among DRD2 AA genotype, COMT met allele carriers which also had a 120 bp allele of DRD4 had a significantly better response to antipsychotics. Moreover, analysis of clinical and demographic factors demonstrated a significantly longer duration of hospitalization and higher chlorpromazine-equivalent daily dose in resistant to treatment patients. Discovering the polymorphisms which effect treatment response to antipsychotics will provide the possibility of genetic screening before starting an antipsychotic treatment which enhances the chance of responding to antipsychotics and decreases drugs side effects and costs.

Association between DRD2 and ANKK1 polymorphisms with the deficit syndrome in schizophrenia

BACKGROUND

The clinical course of schizophrenia varies among patients and is difficult to predict. Some patient populations present persistent negative symptoms, referred to as the deficit syndrome. Compared to relatives of non-deficit schizophrenia patients, family members of this patient population are at an increased risk of developing schizophrenia. Therefore, the aim of this study was to search for genetic underpinnings of the deficit syndrome in schizophrenia.

METHODS

Three SNPs, i.e., rs1799732 and rs6276 located within DRD2, and rs1800497 within ANKK1, were identified in the DNA samples of 198 schizophrenia probands, including 103 patients with deficit (DS) and 95 patients with non-deficit schizophrenia (NDS). Results: No significant differences concerning any of the analyzed polymorphisms were found between DS and NDS patients. However, significant links were observed between family history of schizophrenia and the deficit syndrome, G/G genotype and rs6276 G allele. In a separate analysis, we identified significant differences in frequencies of rs6276 G allele between DS and NDS patients with family history of schizophrenia. No significant associations were found between DRD2 and ANKK1 SNPs and the age of onset or schizophrenia symptom severity.

CONCLUSIONS

The results of our preliminary study fail to provide evidence of associations between DRD2 and ANKK1 polymorphisms with the deficit syndrome or schizophrenia symptom severity, but suggest potential links between rs6276 in DRD2 and the deficit syndrome in patients with hereditary susceptibility to schizophrenia. However, further studies are necessary to confirm this observation.

COMT Val 108/158 Met polymorphism and treatment response to aripiprazole in patients with acute schizophrenia

INTRODUCTION

The COMT Val 108/158 Met polymorphism (rs4680) may affect treatment response to antipsychotics, as well as metabolism and dynamics of neurotransmitters during the treatment of schizophrenia. We investigated the effects of the COMT Val 108/158 Met polymorphism on treatment response to aripiprazole and plasma monoamine metabolite levels in patients with acute schizophrenia.

MATERIALS AND METHODS

Forty patients with schizophrenia were treated with aripiprazole for 6 weeks. We measured Positive and Negative Syndrome Scale (PANSS) and plasma levels of homovanillic acid (HVA) and plasma MHPG (3-methoxy-4-hydroxyphenethyleneglycol) at baseline and endpoint. The COMT Val 108/158 Met polymorphism was genotyped with the polymerase chain reaction and restriction fragment length polymorphism.

RESULTS

There were significant genotype-time interactions on PANSS total and general psychopathology scores, with Met/Met genotype showing greater improvement. The response rate to aripiprazole did not differ between COMT Val 108/158 Met genotype groups. We found a significant time effect on plasma MHPG levels, but no time effect on plasma HVA levels or time-genotype interactions in the plasma levels of HVA and MHPG. Although the responder rate did not differ among the 3 genotype groups.

CONCLUSION

Our results suggest that individuals with the Met/Met genotype had greater improvement in PANSS score after the treatment with aripiprazole. On the other hand, the Val 108/158 Met polymorphism may not induce changes in plasma levels of monoamine metabolites during aripiprazole treatment. Because of the small sample size, further studies are needed to confirm and to extend our results.

Potential link between genetic polymorphisms of catechol-O-methyltransferase and dopamine receptors and treatment efficacy of risperidone on schizophrenia

OBJECTIVE

The current study aimed to explore the association of single nucleotide polymorphisms (SNPs) within catechol-O-methyltransferase (COMT) and dopamine receptors with schizophrenia and genetic association with risperidone treatment response.

METHODS

A total of 690 schizophrenic patients (case group) were selected and 430 healthy people were included as the controls. All patients received risperidone treatment continuously for 8 weeks. Next, peripheral venous blood samples were collected and were subjected to polymerase chain reaction-restriction fragment length polymorphism to amplify and genotype the SNPs within COMT and dopamine receptors. Then, correlation analysis was conducted between Positive and Negative Syndrome Scale improvement rates and SNPs within COMT and the dopamine receptor gene.

RESULTS

The allele of DRD1 rs11749676 (A) emerged as a key element in reducing schizophrenia risk with statistical significance (P<0.001). Remarkably, alleles of COMT rs165774 (G), DRD2 rs6277 (T), and DRD3 rs6280 (C) were associated with raised predisposition to schizophrenia (all P<0.001). Regarding DRD1 rs11746641, DRD1 rs11749676, DRD2 rs6277, and DRD3 rs6280, the case group exhibited a lesser frequency of heterozygotes in comparison with wild homozygotes genotype (all P<0.001). SNPs (COMT rs4680, DRD2 rs6275, DRD2 rs1801028, and DRD2 rs6277) were remarkably associated with improvement rates of PANSS total scores (P<0.05). SNPs (COMT rs165599 and DRD2 rs1801028) were significantly associated with risperidone efficacy on negative symptoms (P<0.05).

CONCLUSION

COMT SNPs and dopamine receptor SNPs were correlated with prevalence of schizophrenia and risperidone treatment efficacy of schizophrenia.

Relation between serum prolactin levels and antipsychotic response to risperidone in patients with schizophrenia

BACKGROUND

Hyperprolactinemia is commonly seen in patients with schizophrenia on risperidone. Dopamine receptor blockade plays a major role in risperidone induced hyperprolactinemia. However, limited studies are available with inconsistent results on antipsychotic response to risperidone and prolactin elevation. Therefore, we aimed to study the change in serum prolactin levels and response to risperidone and to test the association between DRD2 genetic variants and prolactin levels in schizophrenic patients treated with risperidone.

METHODS

A prospective study comprising of 102 patients with schizophrenia were recruited. Prolactin levels and Positive and Negative Syndrome Scale (PANSS) score were recorded at baseline and after four weeks of risperidone treatment. Prolactin concentrations were measured by standard method Advia-Centaur® Chemiluminescence immuno assay method. Taq1A DRD2 genotyping was performed by qRT-PCR.

RESULTS

The mean±SD prolactin levels (ng/ml) were increased after four weeks of treatment in both responders (males 21.66±15.15 to 41.63±18.73; p<0.01 females 51.92±40.89 to 122.35±52.16; p<0.01) and non-responders group (males 23.89±14.85 to 37.45±13.5; p<0.01 females 39.25±26.94 to 91.13±54.31; p<0.01). Patients with increased prolactin concentration were 4.6 fold higher in responders (OR 4.60; 95%CI 1.376-15.389; p-value 0.01) compared to non-responders. Ninety-six patients were genotyped for Taq1A DRD2 gene (AA=9, AG=46, GG=41) and found no association (p=0.6) between genetic variants and response to risperidone.

CONCLUSION

Patients were showing more than 20% increase in prolactin levels had a better chance of responding to risperidone therapy. Taq1A DRD2 gene did not show any association with prolactin elevation and response to risperidone.

Catechol-O-Methyltransferase Val158Met Polymorphism and Clinical Response to Antipsychotic Treatment in Schizophrenia and Schizo-Affective Disorder Patients: a Meta-Analysis

BACKGROUND

The catechol-O-methyltransferase (COMT) enzyme plays a crucial role in dopamine degradation, and the COMT Val158Met polymorphism (rs4680) is associated with significant differences in enzymatic activity and consequently dopamine concentrations in the prefrontal cortex. Multiple studies have analyzed the COMT Val158Met variant in relation to antipsychotic response. Here, we conducted a meta-analysis examining the relationship between COMT Val158Met and antipsychotic response.

METHODS

Searches using PubMed, Web of Science, and PsycInfo databases (03/01/2015) yielded 23 studies investigating COMT Val158Met variation and antipsychotic response in schizophrenia and schizo-affective disorder. Responders/nonresponders were defined using each study's original criteria. If no binary response definition was used, authors were asked to define response according to at least 30% Positive and Negative Syndrome Scale score reduction (or equivalent in other scales). Analysis was conducted under a fixed-effects model.

RESULTS

Ten studies met inclusion criteria for the meta-analysis. Five additional antipsychotic-treated samples were analyzed for Val158Met and response and included in the meta-analysis (ntotal=1416). Met/Met individuals were significantly more likely to respond than Val-carriers (P=.039, ORMet/Met=1.37, 95% CI: 1.02-1.85). Met/Met patients also experienced significantly greater improvement in positive symptoms relative to Val-carriers (P=.030, SMD=0.24, 95% CI: 0.024-0.46). Posthoc analyses on patients treated with atypical antipsychotics (n=1207) showed that Met/Met patients were significantly more likely to respond relative to Val-carriers (P=.0098, ORMet/Met=1.54, 95% CI: 1.11-2.14), while no difference was observed for typical-antipsychotic-treated patients (n=155) (P=.65).

CONCLUSIONS

Our findings suggest that the COMT Val158Met polymorphism is associated with response to antipsychotics in schizophrenia and schizo-affective disorder patients. This effect may be more pronounced for atypical antipsychotics.

Evaluation of genetic association of neurodevelopment and neuroimmunological genes with antipsychotic treatment response in schizophrenia in Indian populations

Neurodevelopmental and neuroimmunological genes critically regulate antipsychotic treatment outcome. We report genetic associations of antipsychotic response in 742 schizophrenia patients from Indian populations of Indo‐European and Dravidian ancestry, segregated by disease severity. Meta‐analysis comparing the two populations identified CCL2 [rs4795893: OR (95% CI) = 1.79 (1.27–2.52), P = 7.62 × 10⁻⁴; rs4586: OR (95% CI) = 1.74 (1.24–2.43), P = 1.13 × 10⁻³] and GRIA4 [rs2513265: OR (95% CI) = 0.53 (0.36–0.78), P = 1.44 × 10⁻³] in low severity group; and, ADCY2 [rs1544938: OR (95% CI) = 0.36 (0.19–0.65), P = 7.68 × 10⁻⁴] and NRG1 [rs13250975, OR (95% CI) = 0.42 (0.23–0.79), P = 6.81 × 10⁻³; rs17716295, OR (95% CI) = 1.78 (1.15–2.75), P = 8.71 × 10⁻³] in high severity group, with incomplete response toward antipsychotics. To our knowledge, this is the first study to identify genetic polymorphisms associated with the efficacy of antipsychotic treatment of schizophrenia patients from two major India populations.

Pharmacogenetics of second-generation antipsychotics

This review considers pharmacogenetics of the so called 'second-generation' antipsychotics. Findings for polymorphisms replicating in more than one study are emphasized and compared and contrasted with larger-scale candidate gene studies and genome-wide association study analyses. Variants in three types of genes are discussed: pharmacokinetic genes associated with drug metabolism and disposition, pharmacodynamic genes encoding drug targets, and pharmacotypic genes impacting disease presentation and subtype. Among pharmacokinetic markers, CYP2D6 metabolizer phenotype has clear clinical significance, as it impacts dosing considerations for aripiprazole, iloperidone and risperidone, and variants of the ABCB1 gene hold promise as biomarkers for dosing for olanzapine and clozapine. Among pharmacodynamic variants, the TaqIA1 allele of the DRD2 gene, the DRD3 (Ser9Gly) polymorphism, and the HTR2C -759C/T polymorphism have emerged as potential biomarkers for response and/or side effects. However, large-scale candidate gene studies and genome-wide association studies indicate that pharmacotypic genes may ultimately prove to be the richest source of biomarkers for response and side effect profiles for second-generation antipsychotics.

Synergistic association of PI4KA and GRM3 genetic polymorphisms with poor antipsychotic response in south Indian schizophrenia patients with low severity of illness

Literature indicates key role of glutamatergic pathway genes in antipsychotic response among schizophrenia patients. However, molecular basis of their underlying role in antipsychotic response remained unexplained. Thus, to unravel their molecular underpinnings, we sought to investigate interactions amongst GRM3, SLC1A1, SLC1A2, SLC1A3, SLC1A4 gene polymorphisms with drug response in south Indian schizophrenia patients. We genotyped 48 SNPs from these genes in 423 schizophrenia patients stratified into low and high severity of illness groups. The SNPs and haplotypic combinations of associated SNPs were examined for their association with antipsychotic response. Multifactor-dimensionality-reduction was further used to explore gene-gene interaction among these SNPs and 53 SNPs from previously studied genes (BDNF, RGS4, SLC6A3, PI4KA, and PIP4K2A). Single SNP and haplotype analyses revealed no significant association with drug response irrespective of severity of illness. Gene-gene interaction analyses yielded promising leads, including an observed synergistic effect between PI4KA_rs165854 and GRM3_rs1468412 polymorphisms and incomplete antipsychotic response in schizophrenia patients with low severity of illness (OR = 12.4; 95%CI = 3.69-41.69). Further, this interaction was also observed in atypical monotherapy (n = 355) and risperidone (n = 260) treatment subgroups (OR = 11.21; 95%CI = 3.30-38.12 and OR = 13.5; 95%CI = 3.03-121.61 respectively). PI4KA is known to be involved in the biosynthesis of phosphatidylinositol-4, 5-bisphosphate which regulates exocytotic fusion of synaptic vesicles (glutamate, dopamine) with the plasma membrane and regulates duration of signal transduction of GPCRs. Whereas GRM3 regulates glutamate and dopamine transmission. Present findings indicate that PI4KA and GRM3 polymorphisms have potential to jointly modulate antipsychotic response. These results warrant additional replication studies to shed further light on these interactions.

Pharmacogenetics of adverse events in schizophrenia treatment: comparison study of ziprasidone, olanzapine and perazine

The primary aim of the present study was to assess the possible associations between dopaminergic, serotonergic, and glutamatergic system-related genes and adverse events after antipsychotic treatment in paranoid schizophrenia patients. The second aim of the study was to compare the intensity of these symptoms between atypical (ziprasidone and olanzapine) and typical (perazine) antipsychotic drugs. One-hundred and ninety-one Polish patients suffering from paranoid schizophrenia were genotyped for polymorphisms of DRD2, DAT1, COMT, MAOA, SERT, 5HT2A, and GRIK3. The patients were randomized to treatment with perazine, olanzapine or ziprasidone monotherapy for 3 months. The intensity of side effects (changes in body weights and extrapyramidal symptoms (EPS)) was measured at baseline and after 12 weeks of antipsychotic treatment. After 3 months of therapy, the weight increase was the greatest in the group treated with olanzapine and the least in the group treated with ziprasidone. None of the examined gene polymorphisms was associated with the body weight changes. Perazine treatment was associated with the significantly highest intensity of EPS. None of the examined polymorphisms was associated with the changes in extrapyramidal adverse events after antipsychotic treatment. The selected polymorphisms are not primarily involved in changes in body weights and EPS related to antipsychotic treatment in paranoid schizophrenia patients.

BDNF rs 6265 polymorphism and COMT rs 4680 polymorphism in deficit schizophrenia in Polish sample

BACKGROUND

Deficit schizophrenia (DS) is distinguished from the group of schizophrenic psychoses based on the presence of primary negative symptoms. It differs from nondeficit (NDS) forms of schizophrenia in dimensions such as risk factors, family history, course of illness and neurobiological differences. The aim of the study was assessment of a potential association of the investigated polymorphisms of the brain-derived neurotrophic factor (BDNF) and catechol-O-methyltransferase (COMT) genes with the deficit syndrome in schizophrenia.

METHODS

A cohort of 200 patients with schizophrenia (81 DS and 119 NDS subjects) and a group of 100 control subjects matched for ethnicity, sex and age were recruited. Somatic and psychometric assessment were conducted as well as structured interview about the influence of adverse biological, family and social factors. Genetic analysis of the BDNF (Val66Met) rs6265 and the COMT (Val158Met) rs4680 polymorphisms was performed.

RESULTS

We found significant differences between DS and NDS in rs4680 COMT genotype distribution: more homozygous Val/Val were found (31 vs. 17%) in the NDS compared to the DS subgroup. No associations were found between the investigated polymorphisms of the BDNF gene and the presence of schizophrenia either in DS and NDS subgroups.

CONCLUSION

The analysis of the COMT rs4680 polymorphism in the present DS and NDS study shows that some genetic factors may be relevant in analyzing the reasons for the differentiation of schizophrenic subtypes.

Fever development in neuroleptic malignant syndrome during treatment with olanzapine and clozapine

Neuroleptic malignant syndrome (NMS) is the most dangerous life-threatening complication of antipsychotic medication. It's development is connected with the blockade of dopaminergic transmission (D2 receptors) in the nigrostriatal system of the brain. Fever is one of the main symptoms of this syndrome and it's elevation is due to the activation of the immune system. Numerous studies report that treatment with clozapine (doses 37.5-600 mg) or olanzapine (doses 10-25 mg) or the use of these drugs in polytherapy cause pyrexia between 37.8-40.6 °C. Additionally, levels of proinflammatory interleukins such as IL-6, IL-1,TNF-α were increased. The aim of this article is to describe how olanzapine and clozapine influence fever development in NMS, in relation to the dose of the drug taken by schizophrenic patients including changes in immunological system.

Perazine for schizophrenia

BACKGROUND

Perazine is an old phenothiazine derivative used for the treatment of people with schizophrenia and is reputed to have a low level of extrapyramidal adverse effects. As far as we are aware, its use is limited to Germany, Poland, the former Yugoslavia and the Netherlands.

OBJECTIVES

To examine the effects of perazine for those with schizophrenia or related psychoses in comparison with placebo, no treatment or other antipsychotic medications.

SEARCH METHODS

We searched the Cochrane Schizophrenia Group Trials Register, which includes relevant randomised controlled trials from the bibliographic databases Biological Abstracts, CINAHL, The Cochrane Library, EMBASE, MEDLINE, PsycLIT, LILACS, PSYNDEX, Sociological Abstracts and Sociofile. We searched the references of all included studies for further trials. We contacted pharmaceutical companies and authors of trials. We updated this search on 16th July 2012.

SELECTION CRITERIA

We selected all randomised controlled trials that compared perazine with other treatments for people with schizophrenia or schizophrenia-like psychoses, or both.

DATA COLLECTION AND ANALYSIS

The review authors (SL, BH, BHe) independently inspected the citations and where possible abstracts and ordered papers for re-inspection and quality assessment. We independently extracted data. We calculated the risk ratio (RR) and 95% confidence interval (CI) using a random-effects model. For continuous data, we calculated mean differences (MD). We inspected all data for heterogeneity, assessed trials for risk of bias and created summary of findings tables using GRADE.

MAIN RESULTS

The review now includes seven trials with a total of 479 participants. In only one trial, with 95 participants, perazine appeared superior to 'active placebo' (trimipramine) at five weeks for the outcome of 'no important global improvement' (n = 95, RR 0.43 CI 0.2 to 0.8, low quality evidence), but there was no statistically significant difference in most measures of mental state. Perazine did not induce more general adverse events than placebo but more participants received at least one dose of antiparkinson medication (n = 95, RR 4.50 CI 1.0 to 19.5, very low quality evidence).Six small trials comparing perazine with other antipsychotics, including 384 participants in total, were incompletely reported and the outcomes were presented in various ways so that meta-analysis was not possible on most occasions. In the six studies, a similar number of participants receiving perazine or comparator antipsychotics (amisulpride, haloperidol, olanzapine, ziprasidone, zotepine) left the studies early (n = 384, RR 0.97 CI 0.68 to 1.38, low quality evidence). The results on efficacy could not be meta-analysed because the authors presented their results in very different ways. No obvious differences in adverse events between perazine and other antipsychotics could be derived from the limited data. Two haloperidol comparisons did not present extrapyramidal side-effects in a way that was suitable for use in meta-analysis, but three small comparisons with the second-generation antipsychotics zotepine and amisulpride showed no higher risk of akathisia (n = 111, RR 0.31 CI 0.1 to 1.1), dyskinesia (n = 111, RR 0.47 CI 0.1 to 3.5), parkinsonism (n = 81, RR 1.21 CI 0.5 2.8) or tremor (n = 40, RR 0.80 CI 0.3 to 2.6) with perazine.

AUTHORS' CONCLUSIONS

The number, size and reporting of randomised controlled perazine trials are insufficient to present firm conclusions about the properties of this antipsychotic. It is possible that perazine is associated with a similar risk of extrapyramidal side-effects as some atypical antipsychotics but this is based on small comparisons. This should be clarified in larger, well-designed trials.