Finite mixture regression model analysis on antipsychotics induced weight gain: Investigation of the role of the serotonergic genes

被引:8
作者
Nowrouzi, Behdin [1 ]
Souza, Renan P. [2 ]
Zai, Clement [2 ]
Shinkai, Takahiro [7 ]
Monda, Marcellino [8 ]
Lieberman, Jeffrey [5 ]
Volvaka, Jan [6 ]
Meltzer, Herbert Y. [4 ]
Kennedy, James L. [2 ,3 ]
De Luca, Vincenzo [2 ,3 ]
机构
[1] Laurentian Univ, Sudbury, ON P3E 2C6, Canada
[2] Ctr Addict & Mental Hlth, Neurogenet Sect, Toronto, ON M5T 1R8, Canada
[3] Univ Toronto, Dept Psychiat, Toronto, ON, Canada
[4] Northwestern Univ, Chicago, IL 60611 USA
[5] Columbia Univ, New York, NY 10027 USA
[6] Nathan S Kline Inst Psychiat Res, Orangeburg, NY 10962 USA
[7] Univ Occupat & Environm Hlth, Dept Psychiat, Kitakyushu, Fukuoka 807, Japan
[8] Univ Naples 2, Dept Expt Med, Naples, Italy
关键词
Schizophrenia; Antipsychotics; Weight gain; Genetics; Serotonin; FMM;
D O I
10.1016/j.euroneuro.2012.05.008
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Antipsychotics-induced weight gain is a complex phenomenon with a relevant underlying genetic basis. Polymorphisms of serotonin receptors and related proteins were genotyped in 139 schizophrenia patients and incorporated as covariates in a mixture regression model of weight gain in combination with clinical covariates. The HTR1D rs6300 polymorphism was showing a slight significance conferring risk for obesity (heavy weight gain group) under additive model. After correcting for multiple testing all the genetic predictors were non-significant, however the clinical predictors were associated with the risk of heavy weight gain. These findings suggest a role of ethnicity and olanzapine in increasing the risk for obesity in the heavy weight gain group and haloperidol protecting against heavy weight gain. The mixture regression model appears to be a useful strategy to highlight different weight gain subgroups that are affected differently by clinical and genetic predictors. (C) 2012 Elsevier B.V. and ECNP. All rights reserved.
引用
收藏
页码:224 / 228
页数:5
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