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How can we realize the promise of personalized antidepressant medicines

机译:我们如何实现个性化抗抑郁药的前景

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Personalized medication that is based on pharmacogenetic data has long been expected to improve the efficacy of treatments for neurological and psychiatric disorders, including depression. However, the complexity of the regulation of gene transcription and its interactions with environmental factors means that straightforward translation of individual genetic information into tailored treatment is unlikely. Nevertheless, when data from genomics, proteomics, metabolomics, neuroimaging and neuroendocrinology are used in combination, they could lead to the development of effective personalized antidepressant treatment that is based on both genotypes and biomarkers. This process will require many further steps and collaboration between basic and clinical neuroscience.
机译:长期以来,人们一直期望基于药物遗传学数据的个性化药物可以改善神经系统疾病和精神疾病(包括抑郁症)的治疗效果。然而,基因转录调控的复杂性及其与环境因素的相互作用意味着将单个遗传信息直接翻译成定制化治疗的可能性不大。然而,当结合使用来自基因组学,蛋白质组学,代谢组学,神经影像学和神经内分泌学的数据时,它们可能会导致基于基因型和生物标记物的有效的个性化抗抑郁治疗的发展。这个过程将需要许多进一步的步骤以及基础和临床神经科学之间的合作。

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