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重度抑郁症的药物遗传学:缓解抑郁症的序贯治疗替代方案(STAR*D)试验1级研究的见解。

Pharmacogenetics of major depression: insights from level 1 of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial.

作者信息

Lekman Magnus, Paddock Silvia, McMahon Francis J

机构信息

Department of Neuroscience, Karolinska Institute, Stockholm, Sweden.

出版信息

Mol Diagn Ther. 2008;12(5):321-30. doi: 10.1007/BF03256297.

Abstract

Major depression is a serious mental illness frequently associated with devastating consequences for those affected. Suicide rates are significantly elevated, creating a sense of urgency to identify effective yet safe treatment options. A plethora of antidepressants are available on the market today, designed to act on different neurotransmitter systems in the brain, providing the clinician with several treatment strategies. There is, however, very little guidance as to which antidepressant may be most successful in a certain individual. Biomarkers that can predict treatment outcome would thus be of great value, shortening the time until remission and reducing costs for the healthcare system by reducing unsuccessful treatment attempts. The proven contribution of heredity to major depression risk suggests that genetic markers may be good biomarkers for treatment outcome.The Sequenced Treatment Alternatives to Relieve Depression (STARD) study and a large ancillary pharmacogenetic study in 1953 STARD participants constitute the largest effort to date to identify genetic predictors of antidepressant treatment outcome. In this review, the results of candidate gene studies carried out so far are summarized and discussed, and some future directions are proposed.

摘要

重度抑郁症是一种严重的精神疾病,常常给患者带来毁灭性后果。自杀率显著升高,这使得确定有效且安全的治疗方案变得刻不容缓。如今市场上有大量的抗抑郁药,它们作用于大脑中的不同神经递质系统,为临床医生提供了多种治疗策略。然而,对于哪种抗抑郁药在某个个体中可能最为有效,几乎没有什么指导意见。因此,能够预测治疗效果的生物标志物将具有巨大价值,通过减少无效治疗尝试,缩短缓解时间并降低医疗系统成本。遗传因素对重度抑郁症风险的明确影响表明,基因标志物可能是治疗效果的良好生物标志物。缓解抑郁症的序贯治疗替代方案(STARD)研究以及对1953名STARD参与者进行的一项大型辅助药物遗传学研究,是迄今为止确定抗抑郁治疗效果基因预测指标的最大规模努力。在这篇综述中,总结并讨论了迄今为止开展的候选基因研究结果,并提出了一些未来的方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/271e/2839187/ecf4f677481d/nihms164557f1.jpg

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