已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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 宏观经济学 经济 基因
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 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
上官若男应助else采纳,获得10
1秒前
timemaster666完成签到,获得积分10
5秒前
小红书求接接接接一篇完成签到,获得积分10
5秒前
05agate完成签到,获得积分10
7秒前
asd1576562308完成签到 ,获得积分10
11秒前
陈晨完成签到 ,获得积分10
13秒前
小熊妮子爱喝草莓乌龙茶完成签到 ,获得积分10
14秒前
十三完成签到 ,获得积分10
14秒前
老才完成签到 ,获得积分10
18秒前
334niubi666发布了新的文献求助10
22秒前
燊yy发布了新的文献求助10
23秒前
24秒前
28秒前
hl268发布了新的文献求助10
30秒前
搜集达人应助ys20001采纳,获得10
31秒前
33秒前
善学以致用应助燊yy采纳,获得30
34秒前
36秒前
36秒前
39秒前
科研通AI2S应助科研通管家采纳,获得10
42秒前
乐乐应助科研通管家采纳,获得10
42秒前
加菲丰丰应助科研通管家采纳,获得20
42秒前
ding应助科研通管家采纳,获得10
42秒前
脑洞疼应助科研通管家采纳,获得10
42秒前
海边的卡夫卡完成签到,获得积分10
42秒前
popcorn发布了新的文献求助30
44秒前
feezy完成签到,获得积分10
44秒前
可靠的寒风完成签到,获得积分10
44秒前
乐乐应助雨山采纳,获得10
45秒前
xiayu完成签到 ,获得积分10
47秒前
皮咻完成签到 ,获得积分10
51秒前
陈晨驳回了乐乐应助
52秒前
Master完成签到 ,获得积分10
57秒前
真龙狂婿完成签到,获得积分10
58秒前
落落完成签到 ,获得积分0
58秒前
1分钟前
1分钟前
1分钟前
燊yy发布了新的文献求助30
1分钟前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
An Introduction to Geographical and Urban Economics: A Spiky World Book by Charles van Marrewijk, Harry Garretsen, and Steven Brakman 600
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3154783
求助须知:如何正确求助?哪些是违规求助? 2805656
关于积分的说明 7865443
捐赠科研通 2463783
什么是DOI,文献DOI怎么找? 1311609
科研通“疑难数据库(出版商)”最低求助积分说明 629647
版权声明 601832