Delivery Efficacy Differences of Intravenous and Intraperitoneal Injection of Exosomes: Perspectives from Tracking Dye Labeled and MiRNA Encapsulated Exosomes

微泡 外体 体内 脾脏 腹腔注射 药物输送 分布(数学) 药理学 脂肪组织 医学 小RNA 化学 免疫学 生物 内科学 生物化学 基因 生物技术 数学分析 有机化学 数学
作者
Xueying Zhou,Zhelong Li,Wenqi Sun,Guodong Yang,Changyang Xing,Lijun Yuan
出处
期刊:Current Drug Delivery [Bentham Science Publishers]
卷期号:17 (3): 186-194 被引量:43
标识
DOI:10.2174/1567201817666200122163251
摘要

Background: Exosomes are cell-derived nanovesicles that play vital roles in intercellular communication. Recently, exosomes are recognized as promising drug delivery vehicles. Up till now, how the in vivo distribution of exosomes is affected by different administration routes has not been fully understood. Methods: In the present study, in vivo distribution of exosomes following intravenous and intraperitoneal injection approaches was systemically analyzed by tracking the fluorescence-labeled exosomes and qPCR analysis of C. elegans specific miRNA abundance delivered by exosomes in different organs. Results: The results showed that exosomes administered through tail vein were mostly taken up by the liver, spleen and lungs while exosomes injected intraperitoneally were more dispersedly distributed. Besides the liver, spleen, and lungs, intraperitoneal injection effectively delivered exosomes into the visceral adipose tissue, making it a promising strategy for obesity therapy. Moreover, the results from fluorescence tracking and qPCR were slightly different, which could be explained by systemic errors. Conclusion: Together, our study reveals that different administration routes cause a significant differential in vivo distribution of exosomes, suggesting that optimization of the delivery route is prerequisite to obtain rational delivery efficiency in detailed organs.
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
1秒前
李cc完成签到,获得积分10
1秒前
1秒前
蔺曼曼完成签到,获得积分10
1秒前
2000皁空完成签到,获得积分10
1秒前
英俊的铭应助缓慢的巧凡采纳,获得10
2秒前
科研通AI2S应助jzm采纳,获得10
2秒前
善良士萧发布了新的文献求助10
3秒前
aka2012发布了新的文献求助10
3秒前
lcj完成签到,获得积分10
4秒前
水煮自行车完成签到,获得积分10
4秒前
清秀的月亮完成签到,获得积分10
4秒前
JamesPei应助智慧美少女采纳,获得10
5秒前
希望天下0贩的0应助winwin采纳,获得10
5秒前
杨飞发布了新的文献求助10
5秒前
陈鑫发布了新的文献求助10
5秒前
木由子完成签到,获得积分10
6秒前
xinxin完成签到,获得积分20
6秒前
6秒前
7秒前
7秒前
旭东静静完成签到,获得积分10
7秒前
7秒前
7秒前
8秒前
谦让蜜蜂完成签到,获得积分10
8秒前
9秒前
9秒前
9秒前
10秒前
雅逊敬敏完成签到,获得积分10
10秒前
郭497发布了新的文献求助10
10秒前
yshhhhhhhh完成签到,获得积分10
10秒前
heiehi完成签到,获得积分10
10秒前
11秒前
11秒前
qr完成签到,获得积分20
11秒前
略略略发布了新的文献求助10
11秒前
贪玩鸵鸟给贪玩鸵鸟的求助进行了留言
12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 7615922
求助须知:如何正确求助?哪些是违规求助? 9191265
关于积分的说明 19695445
捐赠科研通 7188483
什么是DOI,文献DOI怎么找? 3271471
关于科研通互助平台的介绍 2434627
邀请新用户注册赠送积分活动 2266650