Blood concentrations of small extracellular vesicles are determined by a balance between abundant secretion and rapid clearance

分泌物 清除率 平衡 细胞外小泡 细胞外 化学 细胞外液 内分泌学 分配量 全血 生物 药代动力学 内科学 细胞生物学 药理学 免疫学 医学
作者
A. Matsumoto,Yuki Takahashi,Hsing‐Yi Chang,Yi Wu,Azusa Yamamoto,Yasushi Ishihama,Yoshinobu Takakura
出处
期刊:Journal of extracellular vesicles [Wiley]
卷期号:9 (1) 被引量:107
标识
DOI:10.1080/20013078.2019.1696517
摘要

Small extracellular vesicles (sEVs) are important mediators of cell-cell communication with respect to diverse physiological processes. To further understand their physiological roles, understanding blood sEV homoeostasis in a quantitative manner is desired. In this study, we propose novel kinetic approaches to estimate the secretion and clearance of mouse plasma-derived sEVs (MP-sEVs) based on the hypothesis that blood sEV concentrations are determined by a balance between the secretion and clearance of sEVs. Using our specific and sensitive sEV labelling technology, we succeeded in analysing MP-sEV clearance from the blood after intravenous administration into mice. This revealed the rapid disappearance of MP-sEVs with a half-life of approximately 7 min. Moreover, the plasma sEV secretion rate, which is presently impossible to directly evaluate, was calculated as 18 μg/min in mice based on pharmacokinetic (PK) analysis. Next, macrophage-depleted mice were prepared as a model of disrupted sEV homoeostasis with retarded sEV clearance. MP-sEV concentrations were increased in macrophage-depleted mice, which probably reflected a shift in the balance of secretion and clearance. Moreover, the increased MP-sEV concentration in macrophage-depleted mice was successfully simulated using calculated clearance rate constant, secretion rate constant and volume of distribution, suggesting the validity of our PK approaches. These results demonstrate that blood sEV concentration homoeostasis can be explained by the dynamics of rapid secretion/clearance.
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
紫菜发布了新的文献求助10
1秒前
5秒前
5秒前
独特亦旋完成签到,获得积分20
6秒前
今后应助qqqqqq采纳,获得10
7秒前
小马甲应助飞羽采纳,获得10
7秒前
星辰大海应助西内!卡Q因采纳,获得10
8秒前
8秒前
彬彬发布了新的文献求助10
9秒前
太叔捕完成签到,获得积分10
9秒前
高磊发布了新的文献求助10
10秒前
RH完成签到,获得积分10
10秒前
zhangzhen完成签到,获得积分10
10秒前
11秒前
科研通AI2S应助zfzf0422采纳,获得10
13秒前
Wendy1204发布了新的文献求助10
14秒前
14秒前
lydy1993完成签到,获得积分10
15秒前
16秒前
滴滴哒哒完成签到 ,获得积分10
16秒前
SciGPT应助波波玛奇朵采纳,获得10
18秒前
戏言121完成签到,获得积分10
18秒前
迷人的映雁完成签到,获得积分10
19秒前
19秒前
美丽的之双完成签到,获得积分10
20秒前
阿会完成签到,获得积分10
20秒前
wqm完成签到,获得积分10
21秒前
戏言121发布了新的文献求助10
22秒前
22秒前
23秒前
优雅的流沙完成签到 ,获得积分10
24秒前
猫的海完成签到,获得积分10
24秒前
24秒前
Eason Liu完成签到,获得积分0
25秒前
Wendy1204完成签到,获得积分20
25秒前
Hello应助654采纳,获得10
25秒前
咩咩羊完成签到,获得积分10
25秒前
29秒前
lianqing完成签到,获得积分10
29秒前
汉堡包应助科研通管家采纳,获得10
29秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824