Study on the mechanism of gut microbiota in the pathogenetic interaction between depression and Parkinson 's disease

帕金森病 疾病 萧条(经济学) 肠道菌群 机制(生物学) 发病机制 医学 肠-脑轴 精神科 生物信息学 心理学 免疫学 内科学 生物 经济 宏观经济学 哲学 认识论
作者
Peiyun Zhang,Wei Jin,Zhaoshun Lyu,Xinxuan Lyu,Lihong Li
出处
期刊:Brain Research Bulletin [Elsevier BV]
卷期号:215: 111001-111001 被引量:4
标识
DOI:10.1016/j.brainresbull.2024.111001
摘要

Depression and Parkinson's disease share pathogenetic characteristics, meaning that they can impact each other and exacerbate their respective progression. From a pathogenetic perspective, depression can develop into Parkinson's disease and is a precursor symptom of Parkinson's disease; Parkinson's disease is also often accompanied by depression. From a pharmacological perspective, the use of antidepressants increases the risk of developing Parkinson's disease, and therapeutic medications for Parkinson's disease can exacerbate symptoms of depression. Therefore, identifying how Parkinson's disease and depression impact each other in their development is key to formulating preventive measures and targeted treatment. One commonality in the pathogenesis of depression and Parkinson's disease are alterations in the gut microbiota, with mechanisms interacting in neural, immune inflammatory, and neuroendocrine pathways. This paper reviews the role of gut microbiota in the pathogenesis of depression and Parkinson's disease; conducts a study of the relationship between both conditions and medication; and suggests that dysregulated gut microbiota may be a key factor in explaining the relationship between Parkinson's disease and depression. Finally, on the basis of these findings, this article hopes to provide suggestions that new ideas for the prevention and treatment of depression and Parkinson's disease.
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
王十七完成签到 ,获得积分10
刚刚
自然的烨霖完成签到,获得积分10
刚刚
淡淡便当完成签到,获得积分10
1秒前
2秒前
chaofan发布了新的文献求助30
3秒前
EasonYan发布了新的文献求助10
4秒前
科研通AI6.4应助胡图图采纳,获得10
5秒前
Akim应助eay采纳,获得10
6秒前
wzk发布了新的文献求助10
8秒前
8秒前
852应助辛勤钧采纳,获得10
9秒前
10秒前
11秒前
Otto Curious完成签到,获得积分10
11秒前
可靠的啤酒完成签到 ,获得积分10
11秒前
11秒前
泡泡完成签到,获得积分10
12秒前
虚幻的冬瓜完成签到 ,获得积分10
12秒前
Owen应助KEMUER2采纳,获得10
12秒前
12秒前
易遇完成签到,获得积分10
13秒前
rodgri发布了新的文献求助10
13秒前
所所应助折兮品采纳,获得30
14秒前
老白非发布了新的文献求助100
14秒前
14秒前
索多倍发布了新的文献求助10
14秒前
会写日记的乌龟先生完成签到,获得积分10
14秒前
15秒前
15秒前
科研通AI6.4应助Qi采纳,获得10
15秒前
16秒前
16秒前
17秒前
五月天完成签到,获得积分10
17秒前
chaofan完成签到,获得积分10
18秒前
18秒前
漫不经心完成签到,获得积分20
18秒前
fahui发布了新的文献求助10
18秒前
丘比特应助爱学习的冰子采纳,获得10
18秒前
18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
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Governing Growth: Us Industrial Policy from Hamilton to Trump 500
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 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 7624986
求助须知:如何正确求助?哪些是违规求助? 9200036
关于积分的说明 19724552
捐赠科研通 7195979
什么是DOI,文献DOI怎么找? 3273642
关于科研通互助平台的介绍 2435791
邀请新用户注册赠送积分活动 2269442