Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

IF 3.7 3区 医学 Q1 CLINICAL NEUROLOGY
Hans H Stassen, S Bachmann, R Bridler, K Cattapan, A M Hartmann, D Rujescu, E Seifritz
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Abstract

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for major depression or schizophrenia under polypharmacy regimens; (2) developing a quantitative side effect model that accounts for the various facets of clinically observable adverse events; and (3) analyzing irregularities in genetic diversity through multidimensional "gene vectors" in order to reveal possible interrelations with side effect clusters. The patients' acute medication, their time course of recovery, and their side effects were assessed by up to 8 repeated measurements. The genotyping included 100 candidate genes with genotypic patterns computed from 549 Single Nucleotide Polymorphisms (SNPs). Between 61.9% and 68.1% of study patients reported moderate to severe side effects, while response rates were with 29.5-35.7% quite modest. Half of the patients (52.1%) experienced weight gains of ≥ 2 kg. On the phenotype level, up to 30% of the observed variance could be "explained" by regression models with the dominating factor "number of concurrent drugs". On the genotype level, we relied on standard Artificial Intelligence (AI) procedures along with multilayer Neural Nets (NNs) to search for combinations of multidimensional genotypic patterns that were characteristic of patients with severe side effects, while being rare (< 10%) among patients without side effects. These analyses failed to explain a clinically relevant proportion of the observed phenotypic variance. The 14 cytochromes analyzed were found to play no more than a minor role. While type and severity of side effects under polypharmacy were primarily determined by the overall medication "load", the actually observed side effect patterns varied considerably between patients receiving the same medication "load", thus stressing the role of genetics. Our results suggested that the role of genetics in the development of severe side effects under polypharmacy is by far more complex than previously assumed, related to a completely different set of genes, or that there exists genotypic heterogeneity such that multiple pathways on the genotype level lead to the same clinical picture on the phenotype level.

抗抑郁药和抗精神病药对不良副作用的遗传易感性:一项对902名患者为期6周的分子遗传学研究。
本项目旨在(1)详细分析902例重度抑郁症或精神分裂症住院患者在综合用药方案下的复杂副作用模式;(2)建立一个定量的副作用模型,以解释临床可观察到的不良事件的各个方面;(3)通过多维“基因载体”分析遗传多样性的不规则性,揭示与毒副作用簇可能存在的相互关系。通过多达8次的重复测量来评估患者的急性用药情况、恢复时间和副作用。基因分型包括100个候选基因,其基因型模式由549个单核苷酸多态性(snp)计算得出。61.9%至68.1%的研究患者报告了中度至重度副作用,而缓解率为29.5-35.7%,相当温和。一半的患者(52.1%)体重增加≥2kg。在表型水平上,高达30%的观察到的方差可以通过以“并发药物数量”为主导因素的回归模型来“解释”。在基因型水平上,我们依靠标准的人工智能(AI)程序以及多层神经网络(NNs)来搜索具有严重副作用的患者特征的多维基因型模式组合,同时罕见(
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来源期刊
CiteScore
8.80
自引率
4.30%
发文量
154
审稿时长
6-12 weeks
期刊介绍: The original papers published in the European Archives of Psychiatry and Clinical Neuroscience deal with all aspects of psychiatry and related clinical neuroscience. Clinical psychiatry, psychopathology, epidemiology as well as brain imaging, neuropathological, neurophysiological, neurochemical and moleculargenetic studies of psychiatric disorders are among the topics covered. Thus both the clinician and the neuroscientist are provided with a handy source of information on important scientific developments.
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