生物标志物
萧条(经济学)
医学
化学
宏观经济学
经济
生物化学
作者
Giampaolo Perna,Alessandro Spiti,Tatiana Torti,Silvia Daccò,Daniela Caldirola
标识
DOI:10.1007/978-981-97-4402-2_19
摘要
This chapter provides a comprehensive examination of a broad range of biomarkers used for the diagnosis and prediction of treatment outcomes in major depressive disorder (MDD). Genetic, epigenetic, serum, cerebrospinal fluid (CSF), and neuroimaging biomarkers are analyzed in depth, as well as the integration of new technologies such as digital phenotyping and machine learning. The intricate interplay between biological and psychological elements is emphasized as essential for tailoring MDD management strategies. In addition, the evolving link between psychotherapy and biomarkers is explored to uncover potential associations that shed light on treatment response. This analysis underscores the importance of individualized approaches in the treatment of MDD that integrate advanced biological insights into clinical practice to improve patient outcomes.
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