Literature DB >> 21652606

A pharmacogenetic study of risperidone on histamine H3 receptor gene (HRH3) in Chinese Han schizophrenia patients.

Zhiyun Wei1, Lei Wang, Mengmeng Zhang, Jiekun Xuan, Yang Wang, Baocheng Liu, Liyan Shao, Jun Li, Zhen Zeng, Tao Li, Jie Liu, Ti Wang, Ming Zhang, Shengying Qin, Yifeng Xu, Guoyin Feng, Lin He, Qinghe Xing.   

Abstract

Evidence suggests that the human histamine H3 receptor (HRH3) may be involved in the pharmacodynamics of risperidone and influence clinical efficacy. More information on the pharmacogenetics of this receptor may therefore be useful in developing individualized therapy. However, to our knowledge, no study has been reported in this area. The aim of this investigation was to clarify whether H3 receptor polymorphism could affect risperidone efficacy. We genotyped tag single nucleotide polymorphisms (SNPs) of the HRH3 gene (rs3787429 and rs3787430) and analyzed their association with the reduction of Brief Psychiatric Rating Scale (BPRS) score in Chinese Han schizophrenia patients (N = 129), following an eight-week period of risperidone monotherapy. The confounding effects of non-genetic factors were estimated, and then the significant one was included as the covariate for adjustment in statistical analysis. Baseline symptom score was the only significant confounding effect and thus the covariate. After adjustment, significant association of HRH3 with antipsychotic efficacy was detected (for rs3787429, p = 0.013, 0.087 after 4 weeks and 8 weeks of treatment, respectively; for rs3787430, p = 0.024, 0.010 after 4 weeks and 8 weeks of treatment, respectively) and stood up to conservative Bonferroni correction. Our results demonstrate that polymorphism of the HRH3 gene may be a potential genetic marker for predicting the therapeutic effect of risperidone, and suggest novel pharmacological links between HRH3 and risperidone. Further studies with larger samples and different ethnic populations are warranted to confirm our results.

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Year:  2011        PMID: 21652606     DOI: 10.1177/0269881111405358

Source DB:  PubMed          Journal:  J Psychopharmacol        ISSN: 0269-8811            Impact factor:   4.153


  4 in total

1.  Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest.

Authors:  Xiangxiang Zeng; Siyi Zhu; Yuan Hou; Pengyue Zhang; Lang Li; Jing Li; L Frank Huang; Stephen J Lewis; Ruth Nussinov; Feixiong Cheng
Journal:  Bioinformatics       Date:  2020-05-01       Impact factor: 6.937

2.  Associations of Polymorphisms in HRH2, HRH3, DAO, and HNMT Genes with Risk of Chronic Heart Failure.

Authors:  Gong-Hao He; Wen-Ke Cai; Jia-Bin Zhang; Chao-Yu Ma; Feng Yan; Jun Lu; Gui-Li Xu
Journal:  Biomed Res Int       Date:  2016-02-17       Impact factor: 3.411

Review 3.  Pharmacogenomic Characterization in Bipolar Spectrum Disorders.

Authors:  Stefano Fortinguerra; Vincenzo Sorrenti; Pietro Giusti; Morena Zusso; Alessandro Buriani
Journal:  Pharmaceutics       Date:  2019-12-21       Impact factor: 6.321

4.  Associations of polymorphisms in histidine decarboxylase, histamine N-methyltransferase and histamine receptor H3 genes with breast cancer.

Authors:  Gong-Hao He; Jia-Ji Lin; Wen-Ke Cai; Wen-Mang Xu; Zheng-Ping Yu; Sun-Jun Yin; Can-Hu Zhao; Gui-Li Xu
Journal:  PLoS One       Date:  2014-05-16       Impact factor: 3.240

  4 in total

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