Targeting CD301+ macrophage inhibits endometrial fibrosis and improves pregnancy outcome

子宫内膜 间质细胞 纤维化 癌症研究 细胞外基质 怀孕 医学 人口 巨噬细胞 生物 内科学 细胞生物学 体外 生物化学 环境卫生 遗传学
作者
Haining Lv,Haixiang Sun,Limin Wang,Simin Yao,Dan Liu,Xiwen Zhang,Z.L. Pei,Jianjun Zhou,Huiyan Wang,Jianwu Dai,Guijun Yan,Lijun Ding,Zhiyin Wang,Chenrui Cao,Guangfeng Zhao,Yali Hu
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:1
标识
DOI:10.1101/2023.06.09.544336
摘要

Abstract Macrophages are a key and heterogeneous cell population involved in endometrial repair and regeneration during the menstrual cycle, but their role in the development of intrauterine adhesion (IUA) and sequential endometrial fibrosis remains unclear. Here, we reported that CD301+ macrophages were significantly increased and showed their most active interaction with profibrotic cells in the endometria of IUA patients compared with the normal endometria by single-cell RNA sequencing, bulk RNA sequencing and experimental verification. Increasing CD301+ macrophages promoted the differentiation of endometrial stromal cells into myofibroblasts and resulted in extracellular matrix accumulation, which destroyed the physiological architecture of endometrial tissue, drove endometrial fibrosis and ultimately led to female infertility or adverse pregnancy outcomes. Mechanistically, CD301+ macrophages secreted GAS6 to activate the AXL/NF-κB pathway, up-regulating the profibrotic protein synthesis. Targeted deletion of CD301+ macrophages or inhibition of AXL by Bemcentinib blunted the pathology and improved the outcomes of pregnancy in mice, supporting the therapeutic potential of targeting CD301+ macrophages for treating endometrial fibrosis.
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
2秒前
2秒前
3秒前
3秒前
柒姐应助Starry采纳,获得10
3秒前
3秒前
uhne完成签到 ,获得积分10
4秒前
LLLLLLLLLL完成签到,获得积分10
4秒前
欢喜臻发布了新的文献求助10
4秒前
释然zc完成签到,获得积分10
5秒前
专注的玉米完成签到,获得积分10
5秒前
5秒前
NexusExplorer应助机器猫nzy采纳,获得10
5秒前
xiaowei发布了新的文献求助10
6秒前
庄里憨笑完成签到 ,获得积分10
6秒前
6秒前
6秒前
mabenchem发布了新的文献求助10
7秒前
Hello应助苦逼的科研汪采纳,获得10
7秒前
Daisy完成签到,获得积分10
7秒前
LLLLLLLLLL发布了新的文献求助10
7秒前
鲁精灵完成签到,获得积分10
7秒前
释然zc发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
8秒前
9秒前
9秒前
朴素保温杯完成签到,获得积分10
9秒前
decadewind完成签到,获得积分10
10秒前
10秒前
11秒前
科研通AI6.4应助a海w采纳,获得10
11秒前
光亮的惜筠完成签到,获得积分20
11秒前
12秒前
12秒前
12秒前
乘风发布了新的文献求助10
13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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
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 7630271
求助须知:如何正确求助?哪些是违规求助? 9204822
关于积分的说明 19739294
捐赠科研通 7199864
什么是DOI,文献DOI怎么找? 3274464
关于科研通互助平台的介绍 2436518
邀请新用户注册赠送积分活动 2270704