Dual role of the nasal microbiota in neurological diseases—An unignorable risk factor or a potential therapy carrier

多发性硬化 医学 疾病 免疫学 神经科学 肠道菌群 中枢神经系统 生物信息学 生物 病理
作者
Jin Xie,Shimin Tian,Jun Liu,Ruiyi Cao,Pengfei Yue,Xinfu Cai,Qiang Shang,Ming Yang,Li Han,Dingkun Zhang
出处
期刊:Pharmacological Research [Elsevier BV]
卷期号:179: 106189-106189 被引量:23
标识
DOI:10.1016/j.phrs.2022.106189
摘要

Recently, comparative studies have rapidly increased with the closer correlation between microbiota and neurological diseases. However, most insights about the association between microbiota and neurological diseases still focus on the gut-brain axis and ignore that nasal microbiota could form a complex and essential link with the nervous system via the nose-to-brain pathway, suggesting the role in modulating the immune system, metabolic system, and nervous system development, which influence the physiopathology of neurological diseases. Due to the complex interactions between nasal microbiota and the brain, the nasal microbiota may have a particular pathogenic effect and therapeutic potential on neurological diseases. Therefore, this review aims to deeply analyze the dual effects of nasal microbiota on neurological diseases, focusing on pathogenic and therapeutic effects to provide a new perspective for preventing and treating neurological diseases by altering nasal microbiota. This review concludes the bidirectional effects of nasal microbiota on neurological diseases, including the pathogenicity and potential treatment on Alzheimer's disease, Parkinson's disease, Multiple sclerosis, and Stroke. Furthermore, modern medical technology combined with artificial intelligence, including implantable sensors, modeling software, and nanofluid techniques, may further study the complex effects between nasal microbiota and the brain, thereby providing new options for treating neurological diseases.
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
xxxksk完成签到 ,获得积分10
刚刚
科研通AI6.2应助blue采纳,获得10
刚刚
1秒前
俭朴山灵发布了新的文献求助10
1秒前
777发布了新的文献求助10
1秒前
稀土发布了新的文献求助10
1秒前
青鸟归发布了新的文献求助30
1秒前
李健的小迷弟应助liangliang采纳,获得10
2秒前
2秒前
早点睡觉发布了新的文献求助10
2秒前
yzw完成签到,获得积分10
2秒前
Edward完成签到,获得积分10
2秒前
Cruffin完成签到 ,获得积分10
3秒前
Pluto发布了新的文献求助10
3秒前
仁爱的寻凝完成签到,获得积分10
3秒前
善学以致用应助zhang采纳,获得10
4秒前
youngman发布了新的文献求助10
4秒前
骤雨时晴发布了新的文献求助10
5秒前
5秒前
林夕完成签到,获得积分10
5秒前
斯文慕山发布了新的文献求助10
6秒前
FLO完成签到,获得积分10
7秒前
小苑发布了新的文献求助10
7秒前
Xiii完成签到,获得积分10
7秒前
稳重语芙发布了新的文献求助10
7秒前
7秒前
8秒前
迷你的蜜蜂完成签到 ,获得积分10
8秒前
SciGPT应助xxxksk采纳,获得10
9秒前
9秒前
人生不过三万天完成签到,获得积分10
9秒前
9秒前
上官若男应助甜甜斓采纳,获得10
10秒前
12秒前
12秒前
肖肖发布了新的文献求助10
13秒前
CodeCraft应助Wendygogogo采纳,获得10
13秒前
慕青应助ye先生采纳,获得10
14秒前
liangliang发布了新的文献求助10
14秒前
14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
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Russian Politics Today: Stability and Fragility (2nd Edition) 500
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6083214
求助须知:如何正确求助?哪些是违规求助? 7913531
关于积分的说明 16368206
捐赠科研通 5218398
什么是DOI,文献DOI怎么找? 2789909
邀请新用户注册赠送积分活动 1772906
关于科研通互助平台的介绍 1649295