Biomarkers Predicting Antidepressant Treatment Response

Bharathi S. Gadad, M. Jha, M. Trivedi
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Abstract

In clinical practice, patients do not always experience symptomatic remission or treatment response, even after trying various types of antidepressant medications. To improve outcomes and reduce attrition and nonadherence, there is a great need for personalized treatment of major depression. Hence, recent research efforts have focused on the identification of biological markers (or biomarkers) that can predict whether an individual patient will respond to the commonly used antidepressants. In this chapter, we review the biomarkers associated with antidepressant treatment response with particular attention to genetic, proteomic, metabolomic, transcriptomic, epigenetic biological, and biochemical markers. Although the “omics” approach holds great promise for the future, challenges and roadblocks for future research will need to be addressed.
预测抗抑郁治疗反应的生物标志物
在临床实践中,患者并不总是经历症状缓解或治疗反应,即使在尝试各种类型的抗抑郁药物后。为了改善治疗效果,减少减员和不依从,有必要对重度抑郁症进行个性化治疗。因此,最近的研究工作集中在识别生物标记物(或生物标记物)上,这些标记物可以预测个体患者是否对常用的抗抑郁药有反应。在本章中,我们回顾了与抗抑郁治疗反应相关的生物标志物,特别关注遗传、蛋白质组学、代谢组学、转录组学、表观遗传生物学和生化标志物。尽管“组学”方法在未来有很大的前景,但未来研究的挑战和障碍需要解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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