Mechanistic Studies of an Automated Lipid Nanoparticle Reveal Critical Pharmaceutical Properties Associated with Enhanced mRNA Functional Delivery In Vitro and In Vivo

体内 信使核糖核酸 体外 化学 纳米技术 计算生物学 细胞生物学 生物物理学 生物 生物化学 材料科学 遗传学 基因
作者
Lili Cui,Morag R. Hunter,Silvia Sonzini,Sara Pereira,Steven M. Romanelli,Kai Liu,Weimin Li,Lihuan Liang,Bin Yang,Najet Mahmoudi,Arpan S. Desai
出处
期刊:Small [Wiley]
卷期号:18 (9) 被引量:56
标识
DOI:10.1002/smll.202105832
摘要

Abstract Recently, lipid nanoparticles (LNPs) have attracted attention due to their emergent use for COVID‐19 mRNA vaccines. The success of LNPs can be attributed to ionizable lipids, which enable functional intracellular delivery. Previously, the authors established an automated high‐throughput platform to screen ionizable lipids and identified that the LNPs generated using this automated technique show comparable or increased mRNA functional delivery in vitro as compared to LNPs prepared using traditional microfluidics techniques. In this study, the authors choose one benchmark lipid, DLin‐MC3‐DMA (MC3), and investigate whether the automated formulation technique can enhance mRNA functional delivery in vivo. Interestingly, a 4.5‐fold improvement in mRNA functional delivery in vivo by automated LNPs as compared to LNPs formulated by conventional microfluidics techniques, is observed. Mechanistic studies reveal that particles with large size accommodate more mRNA per LNP, possess more hydrophobic surface, are more hemolytic, bind a larger protein corona, and tend to accumulate more in macropinocytosomes, which may quantitatively benefit mRNA cytosolic delivery. These data suggest that mRNA loading per particle is a critical factor that accounts for the enhanced mRNA functional delivery of automated LNPs. These mechanistic findings provide valuable insight underlying the enhanced mRNA functional delivery to accelerate future mRNA LNP product development.

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
刚刚
1秒前
凭亿近人完成签到,获得积分10
2秒前
舒屿望迷完成签到,获得积分10
6秒前
hhhhhhan616发布了新的文献求助10
6秒前
晓驿完成签到,获得积分10
7秒前
白露为霜发布了新的文献求助10
7秒前
凡心所向完成签到,获得积分10
8秒前
fg发布了新的文献求助20
8秒前
9秒前
LYD完成签到,获得积分10
9秒前
14秒前
14秒前
15秒前
mengguzai完成签到,获得积分10
18秒前
噜噜宝贝发布了新的文献求助10
19秒前
顺利的翠发布了新的文献求助30
21秒前
852应助MrLi采纳,获得10
21秒前
guangshuang发布了新的文献求助10
23秒前
皮汶灵完成签到,获得积分10
25秒前
Orange应助aa采纳,获得10
28秒前
30秒前
orixero应助fg采纳,获得30
31秒前
Wdd完成签到,获得积分10
31秒前
英姑应助7Sonder采纳,获得10
33秒前
bkagyin应助curtisness采纳,获得10
33秒前
zzy关闭了zzy文献求助
34秒前
天天快乐应助俭朴的采珊采纳,获得10
34秒前
小马甲应助科研通管家采纳,获得10
36秒前
香蕉觅云应助科研通管家采纳,获得10
36秒前
嘉心糖应助科研通管家采纳,获得10
36秒前
lizishu应助科研通管家采纳,获得10
36秒前
小马甲应助科研通管家采纳,获得10
36秒前
研友_VZG7GZ应助科研通管家采纳,获得10
37秒前
37秒前
37秒前
37秒前
充电宝应助科研通管家采纳,获得10
37秒前
37秒前
木木完成签到 ,获得积分10
38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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 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 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6349932
求助须知:如何正确求助?哪些是违规求助? 8164789
关于积分的说明 17180246
捐赠科研通 5406278
什么是DOI,文献DOI怎么找? 2862497
邀请新用户注册赠送积分活动 1840077
关于科研通互助平台的介绍 1689330