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Cui Y, Yan H, Su Y, Wang L, Lu T, Zhang D, Yue W. CYP2D6 Genotype-Based Dose Recommendations for Risperidone in Asian People. Front Pharmacol 2020; 11:936. [PMID: 32848719 PMCID: PMC7417932 DOI: 10.3389/fphar.2020.00936] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2019] [Accepted: 06/08/2020] [Indexed: 12/11/2022] Open
Abstract
The aim of this study was to provide dose recommendations for risperidone in Asian people based on cytochrome P450 enzyme CYP2D6 genotype. First, we investigated the influence of CYP2D6 polymorphism on the pharmacokinetics of risperidone in Chinese patients with schizophrenia. Then, we performed a search for studies covering the relationship between pharmacokinetic parameters of risperidone and CYP2D6 genotype. Pooled pharmacokinetic parameters were meta-analyzed using a random-effects model. Lastly, we calculated the dose adjustment for risperidone based on CYP2D6 genotype for white and Asian people. Significant differences between the extensive metabolizer and intermediate metabolizer groups were observed for dose-adjusted risperidone level, 9-hydroxyrisperidone level, and risperidone/9-hydroxyrisperidone ratio, but not for the total active moiety. Meta-analysis showed that significant differences were observed among the four phenotype groups, including steady state concentration, peak risperidone concentration, and the area under the curve, using the Kruskal-Wallis test. No differences were found in oral clearance. For risperidone, dose recommendations for poor and ultrarapid metabolizers of CYP2D6 for Asians were different compared to that for white people for poor metabolizers (dose adjustment around 45% for white people, while for Asians the risperidone dose should be reduced by 26%). For ultrarapid metabolizers, risperidone dose should be increased by about 33% for white people and 30% for Asians. This was a first attempt to apply pharmacogenetics to suggest dose-regimens for Asian people; further research to replicate and extend these findings is recommended.
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Affiliation(s)
- Yuanxia Cui
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University) & Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Beijing, China
| | - Hao Yan
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University) & Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Beijing, China
| | - Yi Su
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University) & Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Beijing, China
| | - Lifang Wang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University) & Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Beijing, China
| | - Tianlan Lu
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University) & Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Beijing, China
| | - Dai Zhang
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, China.,National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University) & Chinese Academy of Medical Sciences Research Unit (No.2018RU006), Beijing, China.,School of Nursing, Peking University, Beijing, China
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Suzuki T, Timofei S, Iuoras BE, Uray G, Verdino P, Fabian WM. Quantitative structure-enantioselective retention relationships for chromatographic separation of arylalkylcarbinols on Pirkle type chiral stationary phases. J Chromatogr A 2001; 922:13-23. [PMID: 11486858 DOI: 10.1016/s0021-9673(01)00921-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Quantitative structure-retention (QSRR, retention factors log k1 and log k2 for the first and second eluted enantiomer) as well as enantioselective retention relationships (QSERR, separation factor log a) for a series of 42 chiral arylalkylcarbinols on four brush-type chiral stationary phases are derived by multiple linear regression analyses and artificial neuronal network calculations using 2D and 3D molecular descriptors including those obtained by quantum chemical calculations. Separation factors are in addition modeled by the 3D-QSAR method of comparative molecular field analysis (CoMFA). For the retention factors the LUMO energy turns out to be the most important descriptor, whereas for log a it is the hydrophobicity of the analytes. With CoMFA both the steric and electrostatic field are found to be of almost comparable significance.
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Affiliation(s)
- T Suzuki
- Chemical Resources Laboratory, Tokyo Institute of Technology, Yokohama, Japan
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Quantitative structure-property relationships in pharmaceutical research - Part 1. PHARMACEUTICAL SCIENCE & TECHNOLOGY TODAY 2000; 3:28-35. [PMID: 10637598 DOI: 10.1016/s1461-5347(99)00214-x] [Citation(s) in RCA: 72] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Quantitative structure-activity relationships (QSAR) have been applied for decades in the development of new drugs. Although a QSAR does not completely eliminate the trial and error factor involved in the development of a new drug, it certainly decreases the number of compounds synthesized by facilitating the selection of the most promising examples. The success of QSAR has tempted scientists, particularly in the pharmaceutical arena, to investigate relationships of molecular parameters with properties other than activity. The purpose of this two-part review is to provide a broad overview of the development of quantitative structure-property relationships (QSPR) and review the applications in pharmaceutical research. Part one discusses the advantages and limitations of QSPR, and various types of structural descriptors and properties, together with techniques to establish correlations between the two.
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Mager PP, De Clercq E, Takashima H, Ubasawa M, Sekiya K, Baba M, Walther H. Molecular simulation of 5,6-substituted 1-[(2-hydroxyethoxy)methyl]uracils with anti-HIV-1 activity. Eur J Med Chem 1996. [DOI: 10.1016/0223-5234(96)85879-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Timofei S, Kurunczi L, Schmidt W, Fabian WMF, Simon Z. Structure-Affinity Binding Relationships by Principal-Component-Regression Analysis of Anthraquinone Dyes. ACTA ACUST UNITED AC 1995. [DOI: 10.1002/qsar.19950140506] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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