The potential of zebrafish as drug discovery research tool in immune-mediated inflammatory disease

斑马鱼 药物发现 疾病 计算生物学 背景(考古学) 生物 药品 有机体 药物开发 模式生物 人类疾病 生物信息学 医学 药理学 遗传学 基因 病理 古生物学
作者
Carine Smith
出处
期刊:Inflammopharmacology [Springer Nature]
被引量:2
标识
DOI:10.1007/s10787-024-01511-1
摘要

Abstract Immune-mediated inflammatory disease (IMID) prevalence is estimated at 3–7% for Westernised populations, with annual incidence reported at almost 1 in 100 people globally. More recently, drug discovery approaches have been evolving towards more targeted therapies with an improved long-term safety profile, while the requirement for individualisation of medicine in complex conditions such as IMIDs, is acknowledged. However, existing preclinical models—such as cellular and in vivo mammalian models—are not ideal for modern drug discovery model requirements, such as real-time in vivo visualisation of drug effects, logistically feasible safety assessment over the course of a lifetime, or dynamic assessment of physiological changes during disease development. Zebrafish share high homology with humans in terms of proteins and disease-causing genes, with high conservation of physiological processes at organ, tissue, cellular and molecular level. These and other unique attributes, such as high fecundity, relative transparency and ease of genetic manipulation, positions zebrafish as the next major role player in IMID drug discovery. This review provides a brief overview of the suitability of this organism as model for human inflammatory disease and summarises the range of approaches used in zebrafish-based drug discovery research. Strengths and limitations of zebrafish as model organism, as well as important considerations in research study design, are discussed. Finally, under-utilised avenues for investigation in the IMID context are highlighted.
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
刚刚
安安发布了新的文献求助10
刚刚
岩下松风发布了新的文献求助10
1秒前
1秒前
爱你不商量完成签到,获得积分10
1秒前
共享精神应助科科可乐采纳,获得10
2秒前
2秒前
DDDD发布了新的文献求助10
3秒前
look完成签到,获得积分10
4秒前
学术机器1完成签到,获得积分10
5秒前
5秒前
天天快乐应助eason采纳,获得10
5秒前
5秒前
weel发布了新的文献求助10
6秒前
7秒前
多肉葡萄发布了新的文献求助10
7秒前
图图发布了新的文献求助30
7秒前
8秒前
9秒前
xufund发布了新的文献求助10
9秒前
其鱼发布了新的文献求助30
11秒前
完美世界应助lilmacy采纳,获得10
11秒前
11秒前
杳鸢应助秋日思语采纳,获得30
12秒前
12秒前
12秒前
曾经如是发布了新的文献求助10
14秒前
14秒前
DIDIDI完成签到 ,获得积分10
14秒前
ZhangWen完成签到,获得积分10
15秒前
16秒前
幸福的雪枫完成签到 ,获得积分10
16秒前
zhangjiabin完成签到,获得积分10
17秒前
英俊的铭应助其鱼采纳,获得10
17秒前
我的djwhjja发布了新的文献求助10
18秒前
丘比特应助Andy采纳,获得10
18秒前
18秒前
kbcbwb2002完成签到,获得积分10
19秒前
19秒前
19秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
Typology of Conditional Constructions 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3570690
求助须知:如何正确求助?哪些是违规求助? 3141392
关于积分的说明 9442819
捐赠科研通 2842740
什么是DOI,文献DOI怎么找? 1562418
邀请新用户注册赠送积分活动 731079
科研通“疑难数据库(出版商)”最低求助积分说明 718290