Nur77 Prevents Osteoporosis by Inhibiting the NF‐κB Signalling Pathway and Osteoclast Differentiation

神经生长因子IB 破骨细胞 炎症 骨质疏松症 NF-κB 内分泌学 骨吸收 内科学 骨重建 IκB激酶 基因剔除小鼠 医学 癌症研究 化学 受体 核受体 转录因子 生物化学 基因
作者
Huanlian Tian,Feng Chen,Yingfang Wang,Yixuan Liu,Guojing Ma,Yuhong Zhao,Yanan Ma,Tingting Tian,Ruze Ma,Yang Yu,Difei Wang
出处
期刊:Journal of Cellular and Molecular Medicine [Wiley]
卷期号:26 (8): 2163-2176 被引量:12
标识
DOI:10.1111/jcmm.17238
摘要

Inflammation is a major risk factor for osteoporosis, and reducing inflammatory levels is important for the prevention of osteoporosis. Although nuclear receptor 77 (Nur77) protects against inflammation in a variety of diseases, its role in osteoporosis is unknown. Therefore, the main purpose of this study was to investigate the osteoprotective and anti-inflammatory effects of Nur77. The microCT and haematoxylin and eosin staining results indicated that knockout of Nur77 accelerated femoral bone loss in mice. The enzyme-linked immunosorbent assay (ELISA) results showed that knockout of Nur77 increased the serum levels of hsCRP and IL-6. The expression levels of NF-κB, IL-6, TNF-α and osteoclastogenesis factors (TRAP, NFATC1, Car2, Ctsk) in the femurs of Nur77 knockout mice were increased significantly. Furthermore, in vitro, shNur77 promoted the differentiation of RAW264.7 cells into osteoclasts by activating NF-κB, which was confirmed by PDTC treatment. Mechanistically, Nur77 inhibited osteoclast differentiation by inducing IκB-α and suppressing IKK-β. In RAW264.7 cells, overexpression of Nur77 alleviated inflammation induced by siIκB-α, while siIKK-β alleviated inflammation induced by shNur77. Consistent with the in vivo studies, we found that compared with control group, older adults with high serum hsCRP levels were more likely to suffer from osteoporosis (OR = 1.76, p < 0.001). Our data suggest that Nur77 suppresses osteoclast differentiation by inhibiting the NF-κB signalling pathway, strongly supporting the notion that Nur77 has the potential to prevent and treat osteoporosis.

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
3秒前
jll完成签到 ,获得积分10
3秒前
英姑的应助被房产中介采纳,获得10
4秒前
4秒前
7秒前
ZYB143发布了新的文献求助10
8秒前
丘比特的应助被雪山大地采纳,获得10
8秒前
独特的修洁完成签到 ,获得积分10
8秒前
8秒前
dd完成签到,获得积分20
9秒前
9秒前
科研通AI6.2的应助被闪闪魔镜采纳,获得10
9秒前
房产中介发布了新的文献求助10
10秒前
超级的水绿完成签到,获得积分10
10秒前
叨叨小夫夫完成签到,获得积分10
10秒前
Running完成签到 ,获得积分10
12秒前
ttxxcdx发布了新的文献求助10
12秒前
zz完成签到,获得积分10
12秒前
独特的修洁关注了科研通微信公众号
13秒前
可乐发布了新的文献求助10
15秒前
16秒前
哇哇哇完成签到 ,获得积分10
19秒前
积极的中蓝完成签到,获得积分10
20秒前
Nole的应助被金秋雨采纳,获得10
21秒前
21秒前
22秒前
春亦晚完成签到,获得积分10
22秒前
有魅力以珊完成签到,获得积分10
22秒前
灰色头像完成签到,获得积分10
24秒前
24秒前
万能图书馆的应助被可乐采纳,获得10
25秒前
糜厉完成签到,获得积分10
25秒前
地球发布了新的文献求助10
25秒前
26秒前
聪明铸海完成签到,获得积分10
26秒前
小玫瑰完成签到,获得积分10
27秒前
27秒前
闪闪魔镜发布了新的文献求助10
29秒前
ZYB143发布了新的文献求助10
29秒前
29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
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Issues in Task-Based Language Teaching 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7783865
求助须知:如何正确求助?哪些是违规求助? 9323126
关于积分的说明 20393047
捐赠科研通 7372438
什么是DOI,文献DOI怎么找? 3320801
关于科研通互助平台的介绍 2468779
邀请新用户注册赠送积分活动 2337005