Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Department of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, Como, Italy.
Adv Exp Med Biol. 2024;1456:379-400. doi: 10.1007/978-981-97-4402-2_19.
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.
这一章全面考察了广泛用于诊断和预测重度抑郁症(MDD)治疗结果的生物标志物。深入分析了遗传、表观遗传、血清、脑脊液(CSF)和神经影像学生物标志物,以及数字表型和机器学习等新技术的整合。强调了生物和心理因素之间的复杂相互作用对于定制 MDD 管理策略至关重要。此外,还探讨了心理治疗和生物标志物之间不断变化的联系,以揭示潜在的关联,从而了解治疗反应。这种分析强调了在 MDD 治疗中采用个体化方法的重要性,即将先进的生物学见解整合到临床实践中,以改善患者的预后。