Literature DB >> 17618085

Planning for the optimal design of studies to personalize antipsychotic prescriptions in the post-CATIE era: the clinical and pharmacoepidemiological data suggest that pursuing the pharmacogenetics of metabolic syndrome complications (hypertension, diabetes mellitus and hyperlipidemia) may be a reasonable strategy.

Jose de Leon1, Francisco J Diaz.   

Abstract

The variability of individual responses reported by the CATIE study has raised awareness of the need to reconsider personalizing prescriptions of antipsychotic medications for the purpose of establishing the best antipsychotic for each individual patient. As atypical antipsychotics are widely prescribed for severe mental illnesses other than schizophrenia and side effects are largely independent from diagnosis, personalizing antipsychotic dosing may have important public health implications. This hypothesis article emphasizes that, whereas other psychiatric medications may cause weight gain, antipsychotics appear to have additional effects. Antipsychotics may have direct effects (not explained by obesity) on hypertension, diabetes mellitus and hyperlipidemia. The clinical and pharmacoepidemiological literature appears to suggest that (1) antipsychotics rarely increase blood pressure, with the probable exception of clozapine; (2) antipsychotics (particularly clozapine and olanzapine) may interfere with glucose metabolism in a (still unknown) direct way, independently of their effects on obesity; and (3) clozapine and olanzapine (and possibly quetiapine and low-potency typical antipsychotics) may directly cause hyperlipidemia, independently of their effects on obesity. This commentary focuses on the effect sizes and the time interval/event sequence of the direct influences of antipsychotics on blood pressure, glucose metabolism and lipid metabolism. Cross-sectional lipid studies may show antipsychotic effects. It is hypothesized that it may be easier to design studies focusing on these three aspects than to design pharmacogenetic studies focusing on antipsychotic-induced weight gain or metabolic syndrome, which require long-term follow-up.

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Year:  2007        PMID: 17618085     DOI: 10.1016/j.schres.2007.05.020

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  8 in total

Review 1.  Potential mechanisms of atypical antipsychotic-induced hypertriglyceridemia.

Authors:  Hu Yan; Jin-Dong Chen; Xiao-Yan Zheng
Journal:  Psychopharmacology (Berl)       Date:  2013-07-06       Impact factor: 4.530

2.  Validation of candidate genes associated with cardiovascular risk factors in psychiatric patients.

Authors:  Andreas Windemuth; Jose de Leon; John W Goethe; Harold I Schwartz; Stephen Woolley; Margaret Susce; Mohan Kocherla; Kali Bogaard; Theodore R Holford; Richard L Seip; Gualberto Ruaño
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2011-08-06       Impact factor: 5.067

3.  Metabolic syndrome in people with schizophrenia: a review.

Authors:  Marc DE Hert; Vincent Schreurs; Davy Vancampfort; Ruud VAN Winkel
Journal:  World Psychiatry       Date:  2009-02       Impact factor: 49.548

4.  Acetyl-coenzyme A carboxylase alpha gene variations may be associated with the direct effects of some antipsychotics on triglyceride levels.

Authors:  Francisco J Diaz; Alexander Meary; Maria J Arranz; Gualberto Ruaño; Andreas Windemuth; Jose de Leon
Journal:  Schizophr Res       Date:  2009-10-28       Impact factor: 4.939

5.  Genetic risk factors for type 2 diabetes with pharmacologic intervention in African-American patients with schizophrenia or schizoaffective disorder.

Authors:  M R Irvin; H W Wiener; R P Perry; R M Savage; R C P Go
Journal:  Schizophr Res       Date:  2009-07-29       Impact factor: 4.939

6.  Current awareness: pharmacoepidemiology and drug safety.

Authors: 
Journal:  Pharmacoepidemiol Drug Saf       Date:  2008-06       Impact factor: 2.890

Review 7.  A Rational Use of Clozapine Based on Adverse Drug Reactions, Pharmacokinetics, and Clinical Pharmacopsychology.

Authors:  Jose de Leon; Can-Jun Ruan; Georgios Schoretsanitis; Carlos De Las Cuevas
Journal:  Psychother Psychosom       Date:  2020-04-14       Impact factor: 17.659

8.  Predictive factors for hyperglycaemic progression in patients with schizophrenia or bipolar disorder.

Authors:  Ichiro Kusumi; Yuki Arai; Ryo Okubo; Minoru Honda; Yasuhiro Matsuda; Yukihiko Matsuda; Akihiko Tochigi; Yoshiteru Takekita; Hiroyoshi Yamanaka; Keiichi Uemura; Koichi Ito; Kiyoshi Tsuchiya; Jun Yamada; Bunta Yoshimura; Nobuyuki Mitsui; Sigehiro Matsubara; Takayuki Segawa; Nobuyuki Nishi; Yasufumi Sugawara; Yuki Kako; Ikuta Shinkawa; Kaoru Shinohara; Akiko Konishi; Junichi Iga; Naoki Hashimoto; Shinsaku Inomata; Noriko Tsukamoto; Hiroto Ito; Yoichi M Ito; Norihiro Sato
Journal:  BJPsych Open       Date:  2018-10-30
  8 in total

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