The role of matrix metalloproteinase 9 in fibrosis diseases and its molecular mechanisms

基质金属蛋白酶 纤维化 细胞外基质 氧化应激 炎症 医学 任天堂 基质金属蛋白酶抑制剂 疾病 吡非尼酮 癌症研究 生物信息学 免疫学 病理 细胞生物学 生物 特发性肺纤维化 内科学
作者
Yuling Wang,Linke Jiao,Caoxia Qiang,Chen Chen,Zihuan Shen,Fan Ding,Lifei Lv,Tingting Zhu,Yingdong Lu,Xiangning Cui
出处
期刊:Biomedicine & Pharmacotherapy [Elsevier BV]
卷期号:171: 116116-116116 被引量:89
标识
DOI:10.1016/j.biopha.2023.116116
摘要

Fibrosis is a process of tissue repair that results in the slow creation of scar tissue to replace healthy tissue and can affect any tissue or organ. Its primary feature is the massive deposition of extracellular matrix (mainly collagen), eventually leading to tissue dysfunction and organ failure. The progression of fibrotic diseases has put a significant strain on global health and the economy, and as a result, there is an urgent need to find some new therapies. Previous studies have identified that inflammation, oxidative stress, some cytokines, and remodeling play a crucial role in fibrotic diseases and are essential avenues for treating fibrotic diseases. Among them, matrix metalloproteinases (MMPs) are considered the main targets for the treatment of fibrotic diseases since they are the primary driver involved in ECM degradation, and tissue inhibitors of metalloproteinases (TIMPs) are natural endogenous inhibitors of MMPs. Through previous studies, we found that MMP-9 is an essential target for treating fibrotic diseases. However, it is worth noting that MMP-9 plays a bidirectional regulatory role in different fibrotic diseases or different stages of the same fibrotic disease. Previously identified MMP-9 inhibitors, such as pirfenidone and nintedanib, suffer from some rather pronounced side effects, and therefore, there is an urgent need to investigate new drugs. In this review, we explore the mechanism of action and signaling pathways of MMP-9 in different tissues and organs, hoping to provide some ideas for developing safer and more effective biologics.
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
子若系雨完成签到,获得积分10
刚刚
素问完成签到,获得积分10
1秒前
1秒前
NexusExplorer应助li采纳,获得10
1秒前
1秒前
1秒前
Shirly完成签到,获得积分10
2秒前
11完成签到,获得积分10
2秒前
田様应助cyhisdog采纳,获得10
2秒前
复杂的海完成签到,获得积分10
2秒前
Ch185完成签到,获得积分10
3秒前
默默帆布鞋完成签到,获得积分10
3秒前
4秒前
CNS完成签到,获得积分10
4秒前
XING发布了新的文献求助10
4秒前
4秒前
Zzz发布了新的文献求助10
5秒前
科研通AI6.1应助ZC采纳,获得10
5秒前
小幼芷完成签到,获得积分10
5秒前
5秒前
陈陈完成签到 ,获得积分10
5秒前
cxy发布了新的文献求助10
6秒前
orangetwo发布了新的文献求助10
6秒前
6秒前
优秀问丝完成签到,获得积分20
6秒前
852应助lvv采纳,获得10
6秒前
猫猫虫完成签到,获得积分10
7秒前
xianhong完成签到,获得积分20
7秒前
WZL完成签到 ,获得积分10
7秒前
7秒前
7秒前
箱子发布了新的文献求助10
7秒前
十二完成签到,获得积分10
7秒前
tuao234完成签到,获得积分10
7秒前
Krositon完成签到,获得积分10
8秒前
JamesPei应助宋晨旭采纳,获得10
8秒前
小二郎应助Dx采纳,获得10
9秒前
乐乐应助zhangxun采纳,获得10
9秒前
香蕉觅云应助better采纳,获得10
9秒前
10秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6474775
求助须知:如何正确求助?哪些是违规求助? 8277532
关于积分的说明 17651055
捐赠科研通 5555615
什么是DOI,文献DOI怎么找? 2910108
邀请新用户注册赠送积分活动 1886893
关于科研通互助平台的介绍 1739538