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Precision Medicine in Depression: The Role of Proteomics and Metabolomics in Personalized Treatment Approaches

代谢组学 个性化医疗 蛋白质组学 萧条(经济学) 精密医学 计算生物学 医学 数据科学 生物信息学 计算机科学 生物 病理 遗传学 基因 宏观经济学 经济
作者
Mohamad Jaber,Hamza Kahwaji,S Nasr,Reine Baz,Yong‐Ku Kim,Marc Fakhoury
出处
期刊:Advances in Experimental Medicine and Biology [Springer Nature]
卷期号:: 359-378
标识
DOI:10.1007/978-981-97-4402-2_18
摘要

Depression, or major depressive disorder (MDD), is a widespread mental health condition marked by enduring feelings of sorrow and loss of interest. Treatment of depression frequently combines psychotherapy, medication, and lifestyle modifications. However, the occurrence of treatment resistance in certain individuals makes it difficult for physicians to effectively manage this disorder, calling for the implementation of alternative therapeutic strategies. Recently, precision medicine has gained increased attention in the field of mental health, paving the way for more personalized and effective therapeutic interventions in depression. Also known as personalized medicine, this approach relies on genetic composition, molecular profiles, and environmental variables to customize therapies to individual patients. In particular, precision medicine has offered novel viewpoints on depression through two specific domains: proteomics and metabolomics. On one hand, proteomics is the thorough study of proteins in a biological system, while metabolomics focuses on analyzing the complete set of metabolites in a living being. In the past few years, progress in research has led to the identification of numerous depression-related biomarkers using proteomics and metabolomics techniques, allowing for early identification, precise diagnosis, and improved clinical outcome. However, despite significant progress in these techniques, further efforts are required for advancing precision medicine in the diagnosis and treatment of depression. The overarching goal of this chapter is to provide the current state of knowledge regarding the use of proteomics and metabolomics in identifying biomarkers related to depression. It also highlights the potential of proteomics and metabolomics in elucidating the intricate processes underlying depression, opening the door for tailored therapies that could eventually enhance clinical outcome in depressed patients. This chapter finally discusses the main challenges in the use of proteomics and metabolomics and discusses potential future research directions.

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