Differentiating melancholic and non-melancholic depression via biological markers: A review

忧郁症 忧郁症 生物标志物 萧条(经济学) 重性抑郁障碍 心理学 非典型忧郁症 临床心理学 精神科 遗传学 生物 心情 宏观经济学 经济
作者
Michael J. Spoelma,Anastasia Serafimovska,Gordon Parker
出处
期刊:World Journal of Biological Psychiatry [Informa]
卷期号:24 (9): 761-810 被引量:2
标识
DOI:10.1080/15622975.2023.2219725
摘要

Objectives Melancholia is a severe form of depression that is typified by greater genetic and biological influence, distinct symptomatology, and preferential response to physical treatment. This paper sought to broadly overview potential biomarkers of melancholia to benefit differential diagnosis, clinical responses and treatment outcomes. Given nuances in distinguishing melancholia as its own condition from other depressive disorder, we emphasised studies directly comparing melancholic to non-melancholic depression.Methods A comprehensive literature search was conducted. Key studies were identified and summarised qualitatively.Results 105 studies in total were identified. These studies covered a wide variety of biomarkers, and largely fell into three domains: endocrinological (especially cortisol levels, particularly in response to the dexamethasone suppression test), neurological, and immunological (particularly inflammatory markers). Less extensive evidence also exists for metabolic, genetic, and cardiovascular markers.Conclusions Definitive conclusions were predominantly limited due to substantial heterogeneity in how included studies defined melancholia. Furthermore, this heterogeneity could be responsible for the between- and within-group variability observed in the candidate biomarkers that were examined. Therefore, clarifying these definitional parameters may help identify underlying patterns in biomarker expression to improve diagnostic and therapeutic precision for the depressive disorders.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
七七完成签到,获得积分10
刚刚
今后应助妞妞采纳,获得10
1秒前
仰望星空扭到腰完成签到,获得积分10
1秒前
qwert发布了新的文献求助20
1秒前
2秒前
2秒前
2秒前
HEANZ发布了新的文献求助10
3秒前
3秒前
3秒前
WH发布了新的文献求助10
3秒前
mm完成签到,获得积分10
3秒前
4秒前
4秒前
FashionBoy应助积微采纳,获得10
4秒前
zh完成签到,获得积分20
5秒前
苇一完成签到,获得积分10
5秒前
埋骨何须桑梓地完成签到,获得积分10
6秒前
7秒前
7秒前
圈圈发布了新的文献求助10
8秒前
zhenggggg完成签到,获得积分10
8秒前
9秒前
hjx发布了新的文献求助10
9秒前
嘻嘻不嘻嘻完成签到,获得积分10
9秒前
9秒前
冷傲雁菡发布了新的文献求助10
10秒前
孙皓然完成签到 ,获得积分10
10秒前
10秒前
可爱的函函应助red采纳,获得10
10秒前
张羊羔发布了新的文献求助10
11秒前
烟花应助玲儿采纳,获得10
11秒前
敕勒川完成签到,获得积分10
11秒前
袄猴发布了新的文献求助30
11秒前
吴祥坤发布了新的文献求助10
11秒前
DMPK完成签到,获得积分10
11秒前
SSK完成签到,获得积分10
12秒前
SSS发布了新的文献求助10
12秒前
WANGJD发布了新的文献求助10
13秒前
默默的访旋完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 1000
Teaching Language in Context (Third Edition) 1000
Identifying dimensions of interest to support learning in disengaged students: the MINE project 1000
Introduction to Early Childhood Education 1000
List of 1,091 Public Pension Profiles by Region 941
Aerospace Standards Index - 2025 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5441179
求助须知:如何正确求助?哪些是违规求助? 4552035
关于积分的说明 14233318
捐赠科研通 4473012
什么是DOI,文献DOI怎么找? 2451153
邀请新用户注册赠送积分活动 1442102
关于科研通互助平台的介绍 1418298