Gene expression and brain imaging association study reveals gene signatures in major depressive disorder

基因 重性抑郁障碍 情感(语言学) 生物 基因表达 遗传学 萧条(经济学) 灰质 心理学 神经科学 医学 白质 扁桃形结构 磁共振成像 宏观经济学 沟通 放射科 经济
作者
Wei Liu,Jianya Su,Ling‐Li Zeng,Hui Shen,Dewen Hu
出处
期刊:Brain communications [Oxford University Press]
标识
DOI:10.1093/braincomms/fcae258
摘要

Abstract Major depressive disorder is often characterized by changes in the structure and function of the brain, which are influenced by modifications in gene expression profiles. How the depression-related genes work together within the scope of time and space to cause pathological changes remains unclear. By integrated the brainwide gene expression data and imaging data in major depressive disorder, we identified gene signatures of major depressive disorder and explored their temporal-spatial expression specificity, network properties, function annotations and sex differences systematically. Based on correlation analysis with permutation testing, we found 345 depression-related genes significantly correlated with functional and structural alteration of brain images in major depressive disorder and separated them by directional effects. The genes with negative affect for grey matter density and positive affect for functional indices are enriched in down-regulated genes in the postmortem brain samples of depression patients and risk genes identified by genome-wide association studies than genes with positive affect for grey matter density and negative affect for functional indices and control genes, confirming their potential association with major depressive disorder. By introducing a parameter of dispersion measure on the gene expression data of developing human brains, we revealed higher spatial specificity and lower temporal specificity of depression-related genes than control genes. Meanwhile, we found depression-related genes tend to be more highly expressed in females than males, which may contribute to the difference in incidence rate between male and female patients. In general, we found the genes with negative affect have lower network degree, more specialized function, higher spatial specificity, lower temporal specificity, and more sex differences than genes with positive affect, indicating they may play different roles in the occurrence and development of major depressive disorder. These findings can enhance the understanding of molecular mechanisms underlying major depressive disorder and help develop tailored diagnostic and treatment strategies for depression patients of different sex.
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
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
成成完成签到 ,获得积分10
刚刚
刚刚
水形物语发布了新的文献求助10
1秒前
阿托品完成签到,获得积分10
1秒前
634301059完成签到 ,获得积分10
1秒前
斯文败类应助啊标采纳,获得10
1秒前
NMZN完成签到,获得积分10
3秒前
JamesPei应助爱听歌的从筠采纳,获得10
4秒前
xuwenwen完成签到,获得积分10
5秒前
安容天完成签到,获得积分10
5秒前
无奈醉柳完成签到,获得积分10
6秒前
leng发布了新的文献求助30
6秒前
7秒前
7秒前
勤劳的香菇完成签到,获得积分20
12秒前
打打应助空曲采纳,获得10
13秒前
Jacklzu完成签到,获得积分10
13秒前
sims发布了新的文献求助10
13秒前
欢喜小霸王完成签到 ,获得积分10
14秒前
niekyang发布了新的文献求助10
14秒前
14秒前
爆米花应助boom采纳,获得30
14秒前
CipherSage应助任性茉莉采纳,获得10
15秒前
李瑞康完成签到 ,获得积分10
16秒前
16秒前
17秒前
搞怪半烟完成签到,获得积分10
18秒前
18秒前
None发布了新的文献求助10
20秒前
Li完成签到,获得积分10
20秒前
chanyi发布了新的文献求助10
21秒前
syy发布了新的文献求助10
21秒前
十七完成签到 ,获得积分10
22秒前
23秒前
www完成签到,获得积分10
23秒前
leng完成签到,获得积分10
23秒前
23秒前
合适磬发布了新的文献求助10
23秒前
haiqi完成签到,获得积分10
23秒前
24秒前
高分求助中
Comparative Anatomy of the Vertebrates 9th 3000
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3571929
求助须知:如何正确求助?哪些是违规求助? 3142327
关于积分的说明 9446826
捐赠科研通 2843700
什么是DOI,文献DOI怎么找? 1563001
邀请新用户注册赠送积分活动 731530
科研通“疑难数据库(出版商)”最低求助积分说明 718557