Unravelling the molecular mechanisms underlying chronic respiratory diseases for the development of novel therapeutics via in vitro experimental models

免疫学 生物 发病机制 疾病 计算生物学 慢性阻塞性肺病 生物信息学 医学 病理 精神科
作者
Ching Leng Tan,Yinghan Chan,Mayuren Candasamy,Jestin Chellian,Thiagarajan Madheswaran,Lakshmana Prabu Sakthivel,Vyoma K. Patel,Amlan Chakraborty,Ronan MacLoughlin,Deepak Kumar,Nitin Verma,Vamshikrishna Malyla,Piyush Kumar Gupta,Niraj Kumar Jha,Lakshmi Thangavelu,Hari Prasad Devkota,Shvetank Bhatt,Parteek Prasher,Gaurav Gupta,Monica Gulati,Sachin Kumar Singh,Keshav Raj Paudel,Philip M. Hansbro,Brian G. Oliver,Kamal Dua,Dinesh Kumar Chellappan
出处
期刊:European Journal of Pharmacology [Elsevier BV]
卷期号:919: 174821-174821 被引量:20
标识
DOI:10.1016/j.ejphar.2022.174821
摘要

Chronic respiratory diseases have collectively become a major public health concern and have now taken form as one of the leading causes of mortality worldwide. Most chronic respiratory diseases primarily occur due to prolonged airway inflammation. In addition, critical environmental factors such as cigarette smoke, industrial pollutants, farm dust, and pollens may also exacerbate such diseases. Moreover, alterations in the genetic sequence of an individual, abnormalities in the chromosomes or immunosuppression resulting from bacterial, fungal, and viral infections may also play a key role in the pathogenesis of respiratory diseases. Over the years, multiple in vitro models have been employed as the basis of existing as well as emerging advancements in chronic respiratory disease research. These include cell lines, gene expression techniques, single cell RNA sequencing, cytometry, culture techniques, as well as serum/sputum biomarkers that can be used to elucidate the molecular mechanisms underlying these diseases, and to identify novel diagnostic and management options for these diseases. This review summarizes the current understanding of the pathogenesis of various chronic respiratory diseases derived through in vitro experimental models, where the knowledge obtained from these studies can greatly benefit researchers in the discovery and development of novel screening techniques and advanced therapeutic strategies that could be translated into clinical use in the future.

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
酷酷西装发布了新的文献求助10
2秒前
蛋糕完成签到,获得积分10
4秒前
华仔应助Steven采纳,获得10
5秒前
5秒前
机智小馒头完成签到 ,获得积分10
7秒前
HXDong123完成签到 ,获得积分10
10秒前
Astronaut_cat完成签到 ,获得积分10
10秒前
坚定的千万完成签到,获得积分10
11秒前
瑾sir完成签到,获得积分10
17秒前
19秒前
cjlinhunu完成签到,获得积分10
19秒前
20秒前
张江泽完成签到,获得积分10
20秒前
白茶完成签到,获得积分10
21秒前
舒适映寒完成签到,获得积分10
22秒前
23秒前
23秒前
荧光绿土豆泥完成签到 ,获得积分10
23秒前
小小完成签到 ,获得积分10
24秒前
开心绫发布了新的文献求助10
24秒前
黄果兰完成签到,获得积分10
25秒前
cossen完成签到,获得积分0
25秒前
丘比特应助zning采纳,获得10
26秒前
子车谷波发布了新的文献求助10
27秒前
28秒前
28秒前
28秒前
刘欣欢完成签到,获得积分10
29秒前
笑傲江湖发布了新的文献求助30
32秒前
33秒前
朱科源啊源完成签到 ,获得积分10
35秒前
彼方250521完成签到,获得积分10
37秒前
38秒前
文静达完成签到,获得积分10
39秒前
酷酷西装发布了新的文献求助10
40秒前
42秒前
开心绫完成签到,获得积分10
43秒前
天地一体完成签到,获得积分10
46秒前
王露完成签到 ,获得积分10
46秒前
直率的破茧完成签到 ,获得积分10
47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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6348564
求助须知:如何正确求助?哪些是违规求助? 8163566
关于积分的说明 17174591
捐赠科研通 5405041
什么是DOI,文献DOI怎么找? 2861881
邀请新用户注册赠送积分活动 1839643
关于科研通互助平台的介绍 1688947