Potential roles of extracellular vesicles in osteonecrosis of femoral head: A systematic review

体内 血管生成 细胞凋亡 癌症研究 生物 脂肪生成 体外 细胞外小泡 细胞生物学 生物信息学 间充质干细胞 生物技术 生物化学
作者
Xinjie Wu,Yanlei Wang,Wei Sun,Mingsheng Tan
出处
期刊:Gene [Elsevier BV]
卷期号:772: 145379-145379 被引量:3
标识
DOI:10.1016/j.gene.2020.145379
摘要

Abstract Extracellular vesicles (EVs), have been utilised for the diagnosis and treatment of osteonecrosis of femoral head (ONFH). Hence, we aimed to review the available evidence on the potential roles of EVs in ONFH systematically. The PubMed, EMBASE, and Science Citation Index databases were searched exhaustively from inception to June 2020. All in vitro and in vivo studies on the use of EVs in ONFH diagnosis and treatment were included. The final analysis included 14 studies. These studies were categorised according to the cell source, target cell types, secreted product types, production method, storage, and study design. The animal model, together with the ONFH induction method, used in the in vivo studies was also considered. For in vivo studies, effects on cellular proliferation and apoptosis and bone and vascular tissues and biomarkers for ONFH diagnosis were assessed, whereas in the in vitro studies, effects on EVs internalization; proliferation, viability, and migration; osteogenic and adipogenic differentiation; apoptosis; and angiogenesis were evaluated. Both in vitro and in vivo studies showed promoting effects of EVs on proliferation, osteogenic differentiation, and angiogenesis and inhibitory effects on apoptosis and adipogenic differentiation in both glucocorticoid-induced and traumatic ONFH models. Additionally, EVs in blood showed diagnostic potential for ONFH. This systemic review provides a deeper understanding of the role of EVs, thereby facilitating the development of novel therapeutic strategies.
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
积极人偶酱完成签到,获得积分10
1秒前
xxx完成签到,获得积分10
2秒前
3秒前
啾啾发布了新的文献求助10
4秒前
katy发布了新的文献求助10
6秒前
我是老大应助mmd采纳,获得10
7秒前
10秒前
啾啾完成签到,获得积分10
11秒前
怕黑书翠完成签到,获得积分20
12秒前
13秒前
含蓄垣发布了新的文献求助10
13秒前
爆米花应助123采纳,获得10
15秒前
怕黑书翠发布了新的文献求助10
17秒前
嘟噜完成签到 ,获得积分10
17秒前
折耳根完成签到 ,获得积分10
17秒前
今后应助婳嬨采纳,获得10
19秒前
21秒前
流浪完成签到,获得积分10
24秒前
25秒前
25秒前
隐形曼青应助科研通管家采纳,获得10
26秒前
26秒前
思源应助科研通管家采纳,获得10
26秒前
26秒前
科研通AI2S应助科研通管家采纳,获得10
26秒前
星辰大海应助科研通管家采纳,获得10
26秒前
Orange应助科研通管家采纳,获得30
26秒前
领导范儿应助科研通管家采纳,获得10
27秒前
乐乐应助科研通管家采纳,获得10
27秒前
顾矜应助科研通管家采纳,获得10
27秒前
27秒前
zcj发布了新的文献求助10
30秒前
紫韵发布了新的文献求助10
30秒前
30秒前
小龚小龚完成签到 ,获得积分10
31秒前
平常寄柔发布了新的文献求助10
32秒前
蛙蛙发布了新的文献求助10
34秒前
科研通AI5应助称心寒松采纳,获得10
36秒前
科研通AI5应助支雨泽采纳,获得10
38秒前
研友_8DozVZ发布了新的文献求助10
39秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3741430
求助须知:如何正确求助?哪些是违规求助? 3284094
关于积分的说明 10038212
捐赠科研通 3000880
什么是DOI,文献DOI怎么找? 1646852
邀请新用户注册赠送积分活动 783919
科研通“疑难数据库(出版商)”最低求助积分说明 750478