The epithelial barrier: The gateway to allergic, autoimmune, and metabolic diseases and chronic neuropsychiatric conditions

炎症 免疫学 失调 微生物群 发病机制 生物 医学 生物信息学 肠道菌群
作者
Duygu Yazıcı,İsmail Öğülür,Yağız Pat,Huseyn Babayev,Elena Barletta,Sena Ardıçlı,Manal Bel Imam,Mengting Huang,Jana Koch,Manru Li,Debbie J. Maurer,Urszula Radzikowska,Pattraporn Satitsuksanoa,Stephan R. Schneider,Na Sun,Stephan Traidl,Alexandra Wallimann,Sebastian Wawrocki,Damir Zhakparov,Danielle Fehr
出处
期刊:Seminars in Immunology [Elsevier BV]
卷期号:70: 101846-101846 被引量:64
标识
DOI:10.1016/j.smim.2023.101846
摘要

Since the 1960 s, our health has been compromised by exposure to over 350,000 newly introduced toxic substances, contributing to the current pandemic in allergic, autoimmune and metabolic diseases. The "Epithelial Barrier Theory" postulates that these diseases are exacerbated by persistent periepithelial inflammation (epithelitis) triggered by exposure to a wide range of epithelial barrier-damaging substances as well as genetic susceptibility. The epithelial barrier serves as the body's primary physical, chemical, and immunological barrier against external stimuli. A leaky epithelial barrier facilitates the translocation of the microbiome from the surface of the afflicted tissues to interepithelial and even deeper subepithelial locations. In turn, opportunistic bacterial colonization, microbiota dysbiosis, local inflammation and impaired tissue regeneration and remodelling follow. Migration of inflammatory cells to susceptible tissues contributes to damage and inflammation, initiating and aggravating many chronic inflammatory diseases. The objective of this review is to highlight and evaluate recent studies on epithelial physiology and its role in the pathogenesis of chronic diseases in light of the epithelial barrier theory.
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
yzy应助tomY采纳,获得10
1秒前
栗子发布了新的文献求助10
2秒前
超级完成签到,获得积分20
3秒前
丘比特应助稳重的书双采纳,获得10
4秒前
woshi123应助hnpyww采纳,获得10
5秒前
英俊的铭应助rxj采纳,获得10
7秒前
8秒前
13秒前
王楠雪应助tkx是流氓兔采纳,获得10
14秒前
qqq完成签到 ,获得积分10
14秒前
15秒前
16秒前
rxj发布了新的文献求助10
20秒前
风中盼易发布了新的文献求助10
21秒前
21秒前
25秒前
zzz完成签到 ,获得积分10
25秒前
26秒前
林兰完成签到,获得积分10
28秒前
希望天下0贩的0应助liuy1采纳,获得10
28秒前
29秒前
喜悦的善若完成签到,获得积分10
29秒前
31秒前
柿子完成签到,获得积分10
32秒前
文城完成签到,获得积分10
32秒前
充电宝应助KDG采纳,获得10
33秒前
33秒前
LJY完成签到,获得积分10
35秒前
rxj完成签到,获得积分10
38秒前
可子一学就会完成签到,获得积分10
38秒前
寒假工完成签到 ,获得积分10
38秒前
傲娇的寇完成签到,获得积分10
39秒前
Nole应助Asley采纳,获得10
39秒前
39秒前
科目三应助lizhi采纳,获得10
40秒前
完美世界应助科研通管家采纳,获得10
43秒前
CodeCraft应助科研通管家采纳,获得10
43秒前
桐桐应助科研通管家采纳,获得10
43秒前
orixero应助科研通管家采纳,获得10
43秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
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 7583790
求助须知:如何正确求助?哪些是违规求助? 9162457
关于积分的说明 19607169
捐赠科研通 7165725
什么是DOI,文献DOI怎么找? 3266302
关于科研通互助平台的介绍 2431240
邀请新用户注册赠送积分活动 2257789