Wnt signaling pathways in biology and disease: mechanisms and therapeutic advances

Wnt信号通路 信号转导 生物 刺猬 癌症研究 细胞生物学
作者
Xue Chen,Qingfei Chu,Qingmiao Shi,Yifan Zeng,Juan Lu,­Jun Li­
出处
期刊:Signal Transduction and Targeted Therapy [Springer Nature]
卷期号:10 (1): 106-106 被引量:205
标识
DOI:10.1038/s41392-025-02142-w
摘要

The Wnt signaling pathway is critically involved in orchestrating cellular functions such as proliferation, migration, survival, and cell fate determination during development. Given its pivotal role in cellular communication, aberrant Wnt signaling has been extensively linked to the pathogenesis of various diseases. This review offers an in-depth analysis of the Wnt pathway, detailing its signal transduction mechanisms and principal components. Furthermore, the complex network of interactions between Wnt cascades and other key signaling pathways, such as Notch, Hedgehog, TGF-β, FGF, and NF-κB, is explored. Genetic mutations affecting the Wnt pathway play a pivotal role in disease progression, with particular emphasis on Wnt signaling's involvement in cancer stem cell biology and the tumor microenvironment. Additionally, this review underscores the diverse mechanisms through which Wnt signaling contributes to diseases such as cardiovascular conditions, neurodegenerative disorders, metabolic syndromes, autoimmune diseases, and cancer. Finally, a comprehensive overview of the therapeutic progress targeting Wnt signaling was given, and the latest progress in disease treatment targeting key components of the Wnt signaling pathway was summarized in detail, including Wnt ligands/receptors, β-catenin destruction complexes, and β-catenin/TCF transcription complexes. The development of small molecule inhibitors, monoclonal antibodies, and combination therapy strategies was emphasized, while the current potential therapeutic challenges were summarized. This aims to enhance the current understanding of this key pathway.
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
俭朴人杰发布了新的文献求助10
刚刚
科研完成签到,获得积分10
1秒前
1秒前
zkk发布了新的文献求助10
1秒前
失约于月光应助开心采纳,获得10
1秒前
晴子完成签到,获得积分10
1秒前
2秒前
3秒前
丘比特应助沙克几十块采纳,获得10
3秒前
典雅君浩发布了新的文献求助10
3秒前
4秒前
迷人海蓝完成签到,获得积分10
5秒前
5秒前
YYY发布了新的文献求助10
6秒前
能干老头完成签到,获得积分10
6秒前
脑洞疼应助矮小的断秋采纳,获得10
7秒前
清秀映安发布了新的文献求助10
7秒前
研友_VZG7GZ应助jasonwee采纳,获得10
7秒前
7秒前
8秒前
务实的蓉发布了新的文献求助10
8秒前
mSnBmaterial发布了新的文献求助10
8秒前
ding应助留胡子的曼凡采纳,获得10
9秒前
神勇芝麻完成签到,获得积分10
10秒前
10秒前
Mao耶发布了新的文献求助10
10秒前
11秒前
轻松碧完成签到,获得积分10
12秒前
玉玉发布了新的文献求助10
12秒前
蛋蛋羊发布了新的文献求助10
13秒前
ws发布了新的文献求助10
13秒前
共享精神应助zkk采纳,获得10
14秒前
14秒前
15秒前
汉堡包应助dusai采纳,获得10
17秒前
mSnBmaterial完成签到,获得积分10
17秒前
池叙完成签到,获得积分10
17秒前
浅水鱼完成签到,获得积分10
17秒前
王思睿发布了新的文献求助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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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
Green Fire Retardants for Polymeric Materials 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 7617809
求助须知:如何正确求助?哪些是违规求助? 9193012
关于积分的说明 19702446
捐赠科研通 7190268
什么是DOI,文献DOI怎么找? 3272065
关于科研通互助平台的介绍 2434831
邀请新用户注册赠送积分活动 2267180