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Saduakassova KZ, Svyatova GS. Population features of alleles and genotypes frequency distribution of polymorphic genetic markers of antipsychotic medications pharmacokinetics in the Kazakh population. Am J Med Genet B Neuropsychiatr Genet 2022; 189:100-107. [PMID: 35574727 DOI: 10.1002/ajmg.b.32893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/25/2022] [Accepted: 04/28/2022] [Indexed: 11/07/2022]
Abstract
The presented article is relevant, as the main goals of schizophrenia treatment are to achieve a response to psychopharmacotherapy, reduction and stabilization of psychopathological symptoms, qualitative remission, which in general implies the creation of a stable quality of life for the patient. The purpose of the study was to evaluate the population features of the frequency distribution of alleles and genotypes of polymorphic genetic variants of according to genome-wide association studies analysis of pharmacokinetics-associated antipsychotic medications, in an ethnically homogeneous Kazakh population. The research material was deoxyribonucleic acid (DNA) isolated from the peripheral blood of 1,800 conditionally healthy persons of Kazakh nationality. DNA isolation was carried out by the magnetic polyvinyl alcohol magnetic particle separation method. The analysis of the frequency distribution of the studied genotypes in the Kazakh population showed their compliance with the Hardy-Weinberg equilibrium for all studied polymorphisms (p > .05). The obtained results showed that CYP2C19 (rs4244285, rs4986893) polymorphisms occurs in Kazakhs significantly more often than European and a number of Asian populations, which significantly affects the decrease in effectiveness and increases the risk of side complications during therapy with antipsychotic medications in the Kazakh population.
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Affiliation(s)
- Korlan Z Saduakassova
- Department of Clinical Specialties, Faculty of Medicine and Health Care, Higher School of Medicine, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Gulnara S Svyatova
- Republican Medical Genetics Department, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
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Muzyk AJ, Gagliardi JP, Rakesh G, Jiroutek MR, Radhakrishnan R, Pae CU, Masand PS, Szabo ST. Development of a Diverse Learning Experience for Diverse Psychiatry Resident Needs: A Four-Year Biological Psychiatry Curriculum Incorporating Principles of Neurobiology, Psychopharmacology, and Evidence-Based Practice. Psychiatry Investig 2017; 14:289-297. [PMID: 28539947 PMCID: PMC5440431 DOI: 10.4306/pi.2017.14.3.289] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Revised: 03/15/2016] [Accepted: 06/03/2016] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE A clinically relevant approach to patient care grounded in neurobiological constructs and evidence based practice which emphasizes a relevant psychopharmacology is needed to optimally train psychiatry residents. METHODS We implemented a biological psychiatry course that now incorporates neurobiology, psychopharmacology, and evidence-based practice in conjunction with a Research Domain Criteria (RDoC) perspective. A survey launched prior to course implementation and following each class session, served as the outcome metric of residents' attitudes toward the new curriculum and followed a baseline attitudinal survey designed to evaluate the program. RESULTS Greater than 90% of the psychiatry residents at Duke University who took the attitudinal survey agreed or strongly agreed with needing a course that helped them develop an understanding of neurobiology, psychopharmacology, and evidence-based practice concepts. Most residents also indicated a less than adequate understanding of the neurobiology and psychopharmacology of psychiatric disorders prior to sessions. CONCLUSION Our biological psychiatry curriculum was associated with enthusiasm among residents regarding the incorporation of neurobiology, psychopharmacology, and evidence-based practice into course topics and discussions. A biological psychiatry curriculum with integrated neurobiology and psychopharmacology built on an evidence base approach is possible, well-received, and needed in training of future psychiatrists.
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Affiliation(s)
- Andrew J Muzyk
- Department of Pharmacy Practice, Campbell University School of Pharmacy and Health Sciences, Buies Creek, NC, USA
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
| | - Jane P Gagliardi
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
| | - Gopalkumar Rakesh
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
| | - Michael R Jiroutek
- Department of Clinical Research, Campbell University College of Pharmacy & Health Sciences, Buies Creek, NC, USA
| | | | - Chi-Un Pae
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
- Department of Psychiatry, The Catholic University of Korea College of Medicine, Seoul, Korea
| | - Prakash S Masand
- Academic Medicine Education Institute, Duke-NUS Medical School, Singapore
- Global Medical Education, New York, NY, USA
| | - Steven T Szabo
- Department of Psychiatry & Behavioral Sciences, Duke University, Durham, NC, USA
- Mental Health Service Line, Veterans Affairs Medical Center, Durham, NC, USA
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Kishi T, Ikuta T, Matsunaga S, Matsuda Y, Oya K, Iwata N. Comparative efficacy and safety of antipsychotics in the treatment of schizophrenia: a network meta-analysis in a Japanese population. Neuropsychiatr Dis Treat 2017; 13:1281-1302. [PMID: 28553116 PMCID: PMC5439983 DOI: 10.2147/ndt.s134340] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND The relative efficacy and tolerability of antipsychotics for schizophrenia are considerably well studied. This study aimed to examine whether previous findings could be replicated in a genetically distinct and homogenous group (ie, Japanese patients with schizophrenia) and whether previous findings could be extended to a broader range of antipsychotics with previously unclear relative efficacy and tolerability. METHODS Bayesian network meta-analysis was performed in which randomized trials comparing any of the following interventions were included: second-generation antipsychotics, haloperidol, or placebo. The primary outcomes for efficacy and acceptability were the response rate and all-cause discontinuation. The secondary outcomes included the improvement of Positive and Negative Syndrome Scale scores, discontinuation because of adverse events, and individual adverse events. RESULTS Eighteen relevant studies were identified (total n=3,446; aripiprazole =267, blonanserin =285, clozapine =47, clocapramine =295, haloperidol =857, mosapramine =493, olanzapine =179, paliperidone =136, perospirone =146, placebo =138, quetiapine =212, and risperidone =338; mean study duration =8.33±1.41 weeks). In primary outcomes, olanzapine and paliperidone showed efficacy than placebo, and olanzapine and paliperidone showed superior acceptability compared with placebo. There were differences in the incidences of individual adverse events (the best antipsychotic: extrapyramidal symptoms = olanzapine, hyperprolactinemia- related symptoms = quetiapine, sedation = paliperidone, and weight change = blonanserin) among antipsychotics. CONCLUSION Although the current analysis exclusively included Japanese patients with schizophrenia, no remarkable differences were observed in efficacy and safety compared with previous meta-analyses. Diverse hierarchies in safety outcomes also support the implication that individual risk expectations for adverse events can guide clinical decisions. However, the sample size was relatively limited. Additional efficacy and safety data are required to fully obtain a conclusive understanding.
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Affiliation(s)
- Taro Kishi
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Toshikazu Ikuta
- Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, Oxford, MS, USA
| | - Shinji Matsunaga
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Yuki Matsuda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.,Department of Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kazuto Oya
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
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Jajodia A, Kaur H, Kumari K, Kanojia N, Gupta M, Baghel R, Sood M, Jain S, Chadda RK, Kukreti R. Evaluation of genetic association of neurodevelopment and neuroimmunological genes with antipsychotic treatment response in schizophrenia in Indian populations. Mol Genet Genomic Med 2015; 4:18-27. [PMID: 26788534 PMCID: PMC4707035 DOI: 10.1002/mgg3.169] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 07/10/2015] [Indexed: 12/14/2022] Open
Abstract
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.
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Affiliation(s)
- Ajay Jajodia
- Genomics and Molecular Medicine CSIR-Institute of Genomics and Integrative Biology Mall Road Delhi 110007 India
| | - Harpreet Kaur
- Genomics and Molecular Medicine CSIR-Institute of Genomics and Integrative Biology Mall Road Delhi 110007 India
| | - Kalpana Kumari
- Department of Psychiatry All India Institute of Medical Sciences Ansari Nagar New Delhi 110029 India
| | - Neha Kanojia
- Genomics and Molecular Medicine CSIR-Institute of Genomics and Integrative Biology Mall Road Delhi 110007 India
| | - Meenal Gupta
- Genomics and Molecular Medicine CSIR-Institute of Genomics and Integrative Biology Mall Road Delhi 110007 India
| | - Ruchi Baghel
- Genomics and Molecular Medicine CSIR-Institute of Genomics and Integrative Biology Mall Road Delhi 110007 India
| | - Mamta Sood
- Department of Psychiatry All India Institute of Medical Sciences Ansari Nagar New Delhi 110029 India
| | - Sanjeev Jain
- Molecular Genetic Laboratory Department of Psychiatry National Institute of Mental Health and Neuro Sciences Hosur Road Bengaluru 560029 India
| | - Rakesh K Chadda
- Department of Psychiatry All India Institute of Medical Sciences Ansari Nagar New Delhi 110029 India
| | - Ritushree Kukreti
- Genomics and Molecular Medicine CSIR-Institute of Genomics and Integrative Biology Mall Road Delhi 110007 India
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Kaur H, Jajodia A, Grover S, Agarwal N, Baghel R, Kukreti R. Pharmacogenomics of neuropsychiatric disorders: analysis of genetic variability in 162 identified neuroreceptors using 1000 Genomes Project data. Pharmacogenomics 2015; 15:1575-87. [PMID: 25340732 DOI: 10.2217/pgs.14.113] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Neuroreceptors are considered to be primary drug targets and their abrupt signaling is a notable cause of interindividual drug response variability and treatment failure for complex neuropsychiatric diseases. In view of recent evidence, it is believed that common genetic risk factors mainly highly polymorphic neuroreceptors are being shared among neuropsychiatric disorders. MATERIALS & METHODS We identified 162 neuroreceptors from the 639 known receptors in Homo sapiens and investigated 231,683 SNPs using 1000 Genomes Project data and evaluated their biological effect using in silico tools including RegulomeDB, SIFT, PolyPhen-2 and CAROL. Furthermore, data from the 1000 Genomes Project was utilized to retrieve minor allele frequency and calculate pairwise logartithm of the odds score among these SNPs for African, American, Asian and European populations separately as well as when combined together using Haploview v4.2. LRTag was used to identify tagSNPs in populations. RESULTS A total of 52,381 (22.60%) SNPs were predicted as functionally important genetic variations. We identified sets of 603, 495, 450, 453 and 646 informative tagSNPs for African, American, Asian, European and combined populations, respectively. We propose construction of a 'neuroreceptor variants array' with these informative SNPs for future pharmacogenomic studies of neuropsychiatric disorders. CONCLUSION Such an approach might improve genotype-phenotype correlation across different populations and lead to identification of reliable genetic markers and novel drug targets. Integration of these SNPs in literature would further provide evidence relevant to underlying mechanisms of genetics based nosology, pathophysiology and development of new drugs for the treatment of neuropsychiatric disorders.
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Affiliation(s)
- Harpreet Kaur
- Genomics & Molecular Medicine Unit, CSIR-Institute of Genomics & Integrative Biology, Mall Road, Delhi-110007, India
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Kishi T, Matsuda Y, Matsunaga S, Iwata N. Aripiprazole for the management of schizophrenia in the Japanese population: a systematic review and meta-analysis of randomized controlled trials. Neuropsychiatr Dis Treat 2015; 11:419-34. [PMID: 25759585 PMCID: PMC4345995 DOI: 10.2147/ndt.s78977] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND We conducted a systematic review and meta-analysis of randomized controlled trials comparing aripiprazole with pooled antipsychotics in Japanese patients with schizophrenia. METHODS We performed a literature search of data published in PubMed(®), the Cochrane Library database, the Japan Medical Abstracts Society, and PsycINFO(®) up to January 5, 2014. The odds ratio (OR), number-needed-to-harm (NNH), and standardized mean difference (SMD) based on a random effects model were calculated. RESULTS We identified five relevant studies (seven comparisons, n=684; one comparison each for haloperidol [n=243], mosapramine [n=238], olanzapine [n=39], quetiapine [n=42], perospirone [n=100], and two comparisons for risperidone [n=66]). There were no significant differences in the Positive and Negative Syndrome Scale (PANSS) total, negative, and general scores (SMD=0.10, SMD=-0.09, SMD=0.10, respectively); discontinuation rate associated with all causes (OR=1.35); or side effects (OR=1.03) between aripiprazole and the pooled antipsychotics. Aripiprazole was inferior to the pooled antipsychotics in PANSS positive subscale scores (SMD=0.17) and discontinuation because of inefficacy (OR=2.21, NNH=11). However, aripiprazole had fewer side effects compared with the pooled antipsychotics (OR=0.21, NNH=20 for one or more side effects), including fatigue (OR=0.22, NNH=8), hyperprolactinemia (OR=0.00, NNH=1), extrapyramidal symptoms (OR=0.46, NNH=6), and weight gain (OR=0.36, NNH=7). Moreover, aripiprazole was associated with lower total cholesterol (SMD=-0.20) and triglyceride (SMD=-0.17) levels and body weight (SMD=-0.20) compared with the pooled antipsychotics. CONCLUSION Although the discontinuation rate associated with inefficacy was higher with aripiprazole than with the pooled antipsychotics, aripiprazole was associated with a lower risk of hyperprolactinemia and metabolic and extrapyramidal symptoms compared with the pooled antipsychotics.
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Affiliation(s)
- Taro Kishi
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Yuki Matsuda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Shinji Matsunaga
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
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Vizirianakis IS. Harnessing pharmacological knowledge for personalized medicine and pharmacotyping: Challenges and lessons learned. World J Pharmacol 2014; 3:110-119. [DOI: 10.5497/wjp.v3.i4.110] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Revised: 07/03/2014] [Accepted: 10/29/2014] [Indexed: 02/07/2023] Open
Abstract
The contribution of the genetic make-up to an individual’s capacity has long been recognized in modern pharmacology as a crucial factor leading to therapy inefficiency and toxicity, negatively impacting the economic burden of healthcare and restricting the monitoring of diseases. In practical terms, and in order for drug prescription to be improved toward meeting the personalized medicine concept in drug delivery, the maximum clinical outcome for most, if not all, patients must be achieved, i.e., pharmacotyping. Such a direction although promising and of high expectation from the society, it is however hardly to be afforded for healthcare worldwide. To overcome any existed hurdles, this means that practical clinical utility of personalized medicine decisions have to be documented and validated in the clinical setting. The latter implies for drug delivery the efficient implementation of previously gained in vivo pharmacology experience with pharmacogenomics knowledge. As an approach to work faster and in a more productive way, the elaboration of advanced physiologically based pharmacokinetics models is discussed. And in better clarifying this topic, the example of tamoxifen is thoroughly presented. Overall, pharmacotyping represents a major challenge in modern therapeutics for which pharmacologists need to work in successfully fulfilling this task.
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Use of candidate gene markers to guide antipsychotic dosage adjustment. Prog Neuropsychopharmacol Biol Psychiatry 2014; 54:315-20. [PMID: 25016278 DOI: 10.1016/j.pnpbp.2014.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 07/01/2014] [Accepted: 07/02/2014] [Indexed: 11/21/2022]
Abstract
OBJECTIVE To improve antipsychotic treatment in schizophrenia patients, many studies have investigated genetic polymorphisms associated with antipsychotic metabolizing enzymes and receptors. While these studies have typically focused on drug response, few have investigated genetic influences on antipsychotic dosage. This study set out to analyze the association between 134 SNPs in 38 candidate genes and antipsychotic dosage in schizophrenia patients. METHODS For our analysis, 300 patients with a diagnosis of either schizophrenia or schizoaffective disorder were recruited between the ages of 18 and 75. A cross-sectional assessment was used, in which data were collected from each participant through an interview and self-report questionnaire. Antipsychotic dose was standardized according to the chlorpromazine equivalents, defined daily dose and relative to the maximum dose specified in the product monograph. Participants were genotyped using a Customized Illumina Chip comprising 134 SNPs, and all markers were screened for nominal significance. RESULTS The analysis showed a nominally significant association with the GFRA1 gene. CONCLUSION The common variants investigated in this study had no major influence on the antipsychotic dosage prescribed in study participants. It remains, though, that this strategy may prove valuable clinically and warrants further investigation.
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Kaur H, Jajodia A, Grover S, Baghel R, Gupta M, Jain S, Kukreti R. Genetic variations of PIP4K2A confer vulnerability to poor antipsychotic response in severely ill schizophrenia patients. PLoS One 2014; 9:e102556. [PMID: 25025909 PMCID: PMC4099378 DOI: 10.1371/journal.pone.0102556] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2014] [Accepted: 06/19/2014] [Indexed: 11/20/2022] Open
Abstract
Literature suggests that disease severity and neurotransmitter signaling pathway genes can accurately identify antipsychotic response in schizophrenia patients. However, putative role of signaling molecules has not been tested in schizophrenia patients based on severity of illness, despite its biological plausibility. In the present study we investigated the possible association of polymorphisms from five candidate genes RGS4, SLC6A3, PIP4K2A, BDNF, PI4KA with response to antipsychotic in variably ill schizophrenia patients. Thus in present study, a total 53 SNPs on the basis of previous reports and functional grounds were examined for their association with antipsychotic response in 423 schizophrenia patients segregated into low and high severity groups. Additionally, haplotype, diplotype, multivariate logistic regression and multifactor-dimensionality reduction (MDR) analyses were performed. Furthermore, observed associations were investigated in atypical monotherapy (n = 355) and risperidone (n = 260) treated subgroups. All associations were estimated as odds ratio (OR) and 95% confidence interval (CI) and test for multiple corrections was applied. Single locus analysis showed significant association of nine variants from SLC6A3, PIP4K2A and BDNF genes with incomplete antipsychotic response in schizophrenia patients with high severity. We identified significant association of six marker diplotype ATTGCT/ATTGCT (rs746203-rs10828317-rs7094131-rs2296624-rs11013052-rs1409396) of PIP4K2A gene in incomplete responders (corrected p-value = 0.001; adjusted-OR = 3.19, 95%-CI = 1.46–6.98) with high severity. These associations were further observed in atypical monotherapy and risperidone sub-groups. MDR approach identified gene-gene interaction among BDNF_rs7103411-BDNF_rs1491851-SLC6A3_rs40184 in severely ill incomplete responders (OR = 7.91, 95%-CI = 4.08–15.36). While RGS4_rs2842026-SLC6A3_rs2975226 interacted synergistically in incomplete responders with low severity (OR = 4.09, 95%-CI = 2.09–8.02). Our findings provide strong evidence that diplotype ATTGCT/ATTGCT of PIP4K2A gene conferred approximately three-times higher incomplete responsiveness towards antipsychotics in severely ill patients. These results are consistent with the known role of phosphatidyl-inositol-signaling elements in antipsychotic action and outcome. Findings have implication for future molecular genetic studies as well as personalized medicine. However more work is warranted to elucidate underlying causal biological pathway.
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Affiliation(s)
- Harpreet Kaur
- Genomics and Molecular Medicine, CSIR- Institute of Genomics and Integrative Biology, Delhi, India
| | - Ajay Jajodia
- Genomics and Molecular Medicine, CSIR- Institute of Genomics and Integrative Biology, Delhi, India
| | - Sandeep Grover
- Genomics and Molecular Medicine, CSIR- Institute of Genomics and Integrative Biology, Delhi, India
| | - Ruchi Baghel
- Genomics and Molecular Medicine, CSIR- Institute of Genomics and Integrative Biology, Delhi, India
| | - Meenal Gupta
- Genomics and Molecular Medicine, CSIR- Institute of Genomics and Integrative Biology, Delhi, India
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Ritushree Kukreti
- Genomics and Molecular Medicine, CSIR- Institute of Genomics and Integrative Biology, Delhi, India
- * E-mail:
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Altar CA, Hornberger J, Shewade A, Cruz V, Garrison J, Mrazek D. Clinical validity of cytochrome P450 metabolism and serotonin gene variants in psychiatric pharmacotherapy. Int Rev Psychiatry 2013; 25:509-33. [PMID: 24151799 DOI: 10.3109/09540261.2013.825579] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Adverse events, response failures and medication non-compliance are common in patients receiving medications for the treatment of mental illnesses. A systematic literature review assessed whether pharmacokinetic (PK) or pharmacodynamic (PD) responses to 26 commonly prescribed antipsychotic and antidepressant medications, including efficacy or side effects, are associated with nucleotide polymorphisms in eight commonly studied genes in psychiatric pharmacotherapy: CYP2D6, CYP2C19, CYP2C9, CYP1A2, CYP3A4, HTR2C, HTR2A, and SLC6A4. Of the 294 publications included in this review, 168 (57%) showed significant associations between gene variants and PK or PD outcomes. Other studies that showed no association often had insufficient control for confounding variables, such as co-medication use, or analysis of medications not substrates of the target gene. The strongest gene-outcome associations were for the PK profiles of CYP2C19 and CYP2D6 (93% and 90%, respectively), for the PD associations between HTR2C and weight gain (57%), and for SLC6A4 and clinical response (54%), with stronger SLC6A4 response associations for specific drug classes (60-83%). The preponderance of evidence supports the validity of analyzing nucleotide polymorphisms in CYP and pharmacodynamic genes to predict the metabolism, safety, or therapeutic efficacy of psychotropic medications commonly used for the treatment of depression, schizophrenia, and bipolar illness.
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Pumariega AJ, Rothe E, Mian A, Carlisle L, Toppelberg C, Harris T, Gogineni RR, Webb S, Smith J. Practice parameter for cultural competence in child and adolescent psychiatric practice. J Am Acad Child Adolesc Psychiatry 2013; 52:1101-15. [PMID: 24074479 DOI: 10.1016/j.jaac.2013.06.019] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Accepted: 06/26/2013] [Indexed: 10/26/2022]
Abstract
The United States faces a rapidly changing demographic and cultural landscape, with its population becoming increasingly multiracial and multicultural. In consequence, cultural and racial factors relating to mental illness and emotional disturbances deserve closer attention and consideration. This Practice Parameter outlines clinical applications of the principle of cultural competence that will enable child and adolescent mental health clinicians to better serve diverse children, adolescents, and their families.
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Scrandis DA, Watt M. Antidepressant Medication Management in Primary Care: Not Just Another Pill. J Nurse Pract 2013. [DOI: 10.1016/j.nurpra.2013.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Abstract
The paper aims to review current evidence that supports the application of genetic information in the management and use of psychotropic medication. Although the importance of an individual's genetic makeup in the metabolism of drugs has been known for at least 50 years, it is only recently that such information is finding clinical application. A literature review of recent studies suggest that there are clear variations in the way people respond to psychotropic medication. These variations can be seen across racial and ethnic lines, and are genetically determined. The hope is that, in future we will be able to use genetic information to predict which patient will benefit from which drug and at what dose. In other fields of health care such as anticoagulant therapy, the application of pharmacogenetics is now established in routine clinical care. Several psychiatric pharmacogenetic tests are currently available, including tests for the determination of metabolic status, risk of agranulocytosis and metabolic syndrome, and selection of beneficial medications. Since nurses are the centrepiece of mental health care, these advances are likely to alter significantly future mental health nurse education and practice.
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Affiliation(s)
- S Mutsatsa
- Senior Lecturer Senior Lecturer, Faculty of Health and Social Care, London South Bank University, Romford, UK.
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Wall CA, Croarkin PE, Swintak C, Koplin BA. Psychiatric pharmacogenomics in pediatric psychopharmacology. Child Adolesc Psychiatr Clin N Am 2012; 21:773-88. [PMID: 23040901 DOI: 10.1016/j.chc.2012.07.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
This article provides an overview of where psychiatric pharmacogenomic testing stands as an emerging clinical tool in modern psychotropic prescribing practice, specifically in the pediatric population. This practical discussion is organized around the state of psychiatric pharmacogenomics research when choosing psychopharmacologic interventions in the most commonly encountered mental illnesses in youth. As with the rest of the topics on psychopharmacology for children and adolescents in this publication, a clinical vignette is presented, this one highlighting a clinical case of a 16 year old genotyped during hospitalization for recalcitrant depression.
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Affiliation(s)
- Christopher A Wall
- Division of Child and Adolescent Psychiatry, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA.
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Ninnemann KM. Variability in the efficacy of psychopharmaceuticals: contributions from pharmacogenomics, ethnopsychopharmacology, and psychological and psychiatric anthropologies. Cult Med Psychiatry 2012; 36:10-25. [PMID: 22286864 DOI: 10.1007/s11013-011-9242-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Psychological and psychiatric anthropology have long questioned the universality of psychiatric diagnoses, bringing to light the fluidity of mental disorder, and recognizing that the experience and expression of psychopathology is influenced by complex and interacting genetic, environmental, and cultural factors. The majority of our discussions, however, have remained centered around the role of culture in shaping mental illness: drawing attention to subjective experiences of mental illness and culturally patterned modes of symptom presentation, and interrogating the cogency of universal diagnostic rubrics. Psychological and psychiatric anthropology have yet to robustly engage the broadly assumed universal validity of psychiatric medications and the ways in which they are prescribed and experienced. This article provides an introduction into the fields of pharmacogenomics and ethnopsychopharmacology, areas of inquiry seeking to understand the ways in which genetic variability occurring between, and within, large population groups influences individual ability to metabolize psychotropic medications. This piece further addresses the complex issue of psychopharmaceutical efficacy, stressing the ways in which, just as with psychopathology, medications and their outcomes are likewise influenced by the complex interactions of genes, environment, and culture. Lastly, ways in which anthropology can and should engage with the growing fields of pharmacogenomics and ethnopsychopharmacology are suggested.
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Abstract
Despite being a first-line treatment for adolescent depression and anxiety, antidepressant drugs appear to have questionable efficacy and carry an increased risk of adverse effects in this population. The neural mechanisms underlying this phenomenon are currently unknown. Recent research into the neural effects of alcohol and recreational drugs suggests that the developmental trajectory of the adolescent brain may be particularly vulnerable to pharmacological disturbance. It is therefore important to consider whether prescription psychotropic drugs may have analogous effects. This article reviews the contribution of recent preclinical, clinical and pharmacogenetic literature to current knowledge on the short-term and enduring neural effects of antidepressants on the adolescent brain, with a particular focus on the major neurotransmitter systems and neuroplasticity.
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Affiliation(s)
- Emily Karanges
- School of Psychology A18, University of Sydney, Sydney, NSW 2006, Australia
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Minelli A, Bonvicini C, Scassellati C, Sartori R, Gennarelli M. The influence of psychiatric screening in healthy populations selection: a new study and meta-analysis of functional 5-HTTLPR and rs25531 polymorphisms and anxiety-related personality traits. BMC Psychiatry 2011; 11:50. [PMID: 21453464 PMCID: PMC3078846 DOI: 10.1186/1471-244x-11-50] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2010] [Accepted: 03/31/2011] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND A genetic liability for anxiety-related personality traits in healthy subjects has been associated with the functional serotonin transporter promoter polymorphism (5-HTTLPR), although the data are somewhat conflicting. Moreover, only one study has investigated the functional significance of the 5-HTTLPR/rs25531 haplotypes in relation to anxiety traits in healthy subjects. We tested whether the 5-HTTLPR polymorphism and the 5-HTTLPR/rs25531 haplotypes are linked to Harm Avoidance (HA) using an association study (STUDY I) and a meta-analytic approach (STUDY II). METHODS STUDY I: A total of 287 unrelated Italian volunteers were screened for DSM-IV Axis I disorders and genotyped for the 5-HTTLPR and rs25531 (A/G) polymorphisms. Different functional haplotype combinations were also analyzed. STUDY II: A total of 44 studies were chosen for a meta-analysis of the putative association between 5-HTTLPR and anxiety-related personality traits. RESULTS STUDY I: In the whole sample of 287 volunteers, we found that the SS genotype and S'S' haplotypes were associated with higher scores on HA. However, because the screening assessed by Mini-International Neuropsychiatric Interview (M.I.N.I.) showed the presence of 55 volunteers affected by depression or anxiety disorders, we analyzed the two groups ("disordered" and "healthy") separately. The data obtained did indeed confirm that in the "healthy" group, the significant effects of the SS genotype and S'S' haplotypes were lost, but they remained in the "disordered" group. STUDY II: The results of the 5-HTTLPR meta-analysis with anxiety-related traits in the whole sample confirmed the association of the SS genotype with higher anxiety-related traits scores in Caucasoids; however, when we analyzed only those studies that used structured psychiatric screening, no association was found. CONCLUSIONS This study demonstrates the relevance to perform analyses on personality traits only in DSM-IV axis I disorder-free subjects. Furthermore, we did not find an association between functional serotonin transporter gene polymorphisms and anxiety traits in healthy subjects screened through a structured psychiatric interview.
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Affiliation(s)
- Alessandra Minelli
- Genetic Unit, I.R.C.C.S. "San Giovanni di Dio" - Fatebenefratelli, Brescia, Italy
| | - Cristian Bonvicini
- Genetic Unit, I.R.C.C.S. "San Giovanni di Dio" - Fatebenefratelli, Brescia, Italy
| | - Catia Scassellati
- Genetic Unit, I.R.C.C.S. "San Giovanni di Dio" - Fatebenefratelli, Brescia, Italy
| | - Riccardo Sartori
- Department of Philosophy, Pedagogy, Psychology, University of Verona, Verona, Italy
| | - Massimo Gennarelli
- Genetic Unit, I.R.C.C.S. "San Giovanni di Dio" - Fatebenefratelli, Brescia, Italy,Department of Biomedical Sciences and Biotechnologies, Biology and Genetic Division, University School of Medicine, Brescia, Italy
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