Pharmacogenetic and pharmacogenomic research for the prediction of response to antipsychotics in schizophrenia

被引:1
|
作者
Arranz, MJ [1 ]
Kerwin, RW [1 ]
机构
[1] KCL London, Inst Psychiat, London SE5 8AF, England
关键词
antipsychotics; response prediction; pharmacogenetics; pharmacogenomics;
D O I
10.1002/ddr.10289
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Treatment of schizophrenia sufferers requires the use of antipsychotic drugs. First developed in the 1950s, two major types of antipsychotics are currently available: classical or conventional antipsychotics and atypical antipsychotics. Selection of treatment is based on trial and error strategies with a detrimental effect on patients' prognosis and chances of recovery. Clinical and genetic indicators have been investigated as predictors of response to antipsychotic treatment. Several studies have reported association between clinical observations and treatment outcome. However, clinical indicators require post-treatment information that may delay selection of a beneficial drug. Alternatively, genetic polymorphisms have been suggested as useful pre-treatment predictors. In the last decade, pharmacogenetic researchers have reported numerous associations between antipsychotic response and polymorphisms in genes coding for drug-targeted receptors and metabolic enzymes. This research has provided information that can be used for the individual prediction of response to specific antipsychotics. Much more is expected from the surge of pharmacogenomic research in pharmaceutical companies. Novel targets for antipsychotic treatment, improved and safer drugs, and individualised treatment are some of the goals expected to achieve in the near future. (C) 2003 Wiley-Liss, Inc.
引用
收藏
页码:104 / 110
页数:7
相关论文
共 50 条
  • [41] Pharmacogenetic biomarkers for the prediction of response to antiangiogenic treatment
    Schneider, Bryan P.
    Shen, Fei
    Miller, Kathy D.
    LANCET ONCOLOGY, 2012, 13 (10): : E427 - E436
  • [42] Pharmacogenetic prediction of ziprasidone response in schizophrenic patients
    Mata, I
    Arranz, MJ
    Perez-Nievas, F
    Mancama, D
    Staddon, S
    Kerwin, RW
    AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS, 2005, 138B (01) : 127 - 127
  • [43] THE RECEPTOR SIDE: THE PHARMACOGENETIC PREDICTION OF PHARMACODYNAMIC RESPONSE
    Elger, C.
    EPILEPSIA, 2009, 50 : 16 - 16
  • [44] A Pharmacogenomic Study on the Polymorphic Gene Response to Risperidone in Schizophrenia Patients
    Wang, Lei
    O'Connor, Daniel
    Wang, Ying
    Feng, Guoyin
    He, Lin
    PROCEEDINGS OF THE SEVENTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, 2008, : 89 - +
  • [45] Improving pharmacogenetic prediction of extrapyramidal symptoms induced by antipsychotics (vol 8, 276, 2018)
    Boloc, Daniel
    Gortat, Anna
    Qi Cheng-Zhang, Jia
    Garcia-Cerro, Susana
    Rodriguez, Natalia
    Parellada, Mara
    Saiz-Ruiz, Jeronimo
    Cuesta, Manolo J.
    Gasso, Patricia
    Lafuente, Amalia
    Bernardo, Miquel
    Mas, Sergi
    TRANSLATIONAL PSYCHIATRY, 2019, 9 (1)
  • [46] Peculiarities of the Effect of Antipsychotics: Pharmacogenetic Studies
    Gareeva A.E.
    Human Physiology, 2018, 44 (6) : 706 - 719
  • [47] EXPERIENCE OF PHARMACOGENETIC TESTING IN THE TREATMENT OF ANTIPSYCHOTICS
    Kaydan, M.
    Zakharova, N.
    EUROPEAN PSYCHIATRY, 2023, 66 : S1070 - S1070
  • [48] TIME TO RESPONSE TO ANTIPSYCHOTICS IN PATIENTS WITH RECENT ONSET SCHIZOPHRENIA
    Kayo, Monica
    Tassell, I.
    Hiroce, V. Y.
    Menezes, A. K.
    Oliveira, G. M.
    Iso, S.
    Elkis, H.
    SCHIZOPHRENIA BULLETIN, 2011, 37 : 309 - 309
  • [49] Current challenges in the design and conduct of pharmacogenetic and pharmacogenomic studies
    Liu, G.
    EJC SUPPLEMENTS, 2009, 7 (04): : 5 - 5
  • [50] Predicting response to atypical antipsychotics based on early response in the treatment of schizophrenia
    Kinon, Bruce J.
    Chen, Lei
    Ascher-Svanum, Haya
    Stauffer, Virginia L.
    Kollack-Walker, Sara
    Sniadecki, Jennifer L.
    Kane, John M.
    SCHIZOPHRENIA RESEARCH, 2008, 102 (1-3) : 230 - 240