Interoceptive Neural Circuits Mediating the Progression from Somatic Diseases to Comorbid Depression

萧条(经济学) 体细胞 心理学 临床心理学 共病 心理治疗师 精神科 生物 遗传学 基因 宏观经济学 经济
作者
Hongliang Zhou,Chenguang Jiang,Wenhao Jiang,Zhenhe Zhou,Yonggui Yuan
出处
期刊:Psychotherapy and Psychosomatics [Karger Publishers]
卷期号:95 (2): 134-152 被引量:1
标识
DOI:10.1159/000547584
摘要

INTRODUCTION: Somatic diseases comorbid with depression exacerbate the health burden. The interoceptive neural circuit (INC) might mediate brain-body connections. We aimed to assess the causal relationship between somatic diseases, the INC, and depression. METHODS: We conducted Mendelian randomization (MR) analysis to determine the following: (1) the causal effect of four categories of systemic somatic diseases (ulcerative colitis, essential hypertension, chronic pain, and type 2 diabetes) on the INC's morphology; (2) the causal effect of INC's morphology on depression; and (3) the INC's mediating role between somatic diseases and depression. A replication analysis confirmed the results above in other GWAS datasets. An extended analysis further validated the predictive role of the INC for depression in another systemic disease (asthma). RESULTS: We found all four systemic somatic diseases resulted in morphological changes in the INC, with shared reduced left ventral diencephalon (L-VDC). The morphological alterations of the INC increased depression risk, with the bilateral ventral thalamus most impacted. The L-VDC volume mediated the relationship between somatic diseases and depression, a finding validated across different datasets. The mediating role of the L-VDC in the relationship between somatic diseases and depression remains present in asthma. CONCLUSIONS: The INC, particularly the L-VDC, plays a crucial role in the pathogenesis of depression and the intersection of somatic diseases. The INC mediates the progression from somatic diseases to comorbid depression, suggesting that interventions targeting the INC may prevent and alleviate the burden of comorbid somatic diseases and depression.
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
1秒前
linshunan发布了新的文献求助30
1秒前
苹果嘉儿完成签到,获得积分10
2秒前
3秒前
Owen应助Yu采纳,获得10
3秒前
小晓小晓完成签到 ,获得积分10
3秒前
Jasper应助伊伊采纳,获得10
3秒前
3秒前
summer完成签到,获得积分10
4秒前
奋斗莫茗发布了新的文献求助10
4秒前
给零的柠檬水完成签到,获得积分10
4秒前
1111chen发布了新的文献求助10
4秒前
负责雨旋完成签到 ,获得积分10
5秒前
6秒前
科研熊完成签到,获得积分10
7秒前
huang完成签到,获得积分10
7秒前
顾思凡发布了新的文献求助10
7秒前
幽默的烨华完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
10秒前
11秒前
12秒前
12秒前
123发布了新的文献求助10
13秒前
Lucas应助Abelsci采纳,获得30
13秒前
幻竹发布了新的文献求助10
13秒前
科研熊发布了新的文献求助10
13秒前
14秒前
14秒前
CipherSage应助mojomars采纳,获得10
14秒前
14秒前
天天快乐应助摇摆小狗采纳,获得10
14秒前
15秒前
15秒前
林飞云发布了新的文献求助30
15秒前
yangxiaolei完成签到,获得积分10
16秒前
jason13完成签到 ,获得积分10
16秒前
星辰大海应助霸气乐双采纳,获得10
17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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632041
求助须知:如何正确求助?哪些是违规求助? 9206467
关于积分的说明 19744653
捐赠科研通 7201360
什么是DOI,文献DOI怎么找? 3274739
关于科研通互助平台的介绍 2436632
邀请新用户注册赠送积分活动 2271402