Designer outer membrane vesicles as immunomodulatory systems – Reprogramming bacteria for vaccine delivery

佐剂 免疫系统 细菌外膜 病菌 抗原 微生物学 生物 异源的 免疫学 生物化学 基因 大肠杆菌
作者
Yehou M.D. Gnopo,Hannah C. Watkins,Taylor C. Stevenson,Matthew P. DeLisa,David Putnam
出处
期刊:Advanced Drug Delivery Reviews [Elsevier BV]
卷期号:114: 132-142 被引量:160
标识
DOI:10.1016/j.addr.2017.05.003
摘要

Vaccines often require adjuvants to be effective. Traditional adjuvants, like alum, activate the immune response but in an uncontrolled way. Newer adjuvants help to direct the immune response in a more coordinated fashion. Here, we review the opportunity to use the outer membrane vesicles (OMVs) of bacteria as a way to modulate the immune response toward making more effective vaccines. This review outlines the different types of OMVs that have been investigated for vaccine delivery and how they are produced. Because OMVs are derived from bacteria, they have compositions that may not be compatible with parenteral delivery in humans; therefore, we also review the strategies brought to bear to detoxify OMVs while maintaining an adjuvant profile. OMV-based vaccines can be derived from the pathogens themselves, or can be used as surrogate constructs to mimic a pathogen through the heterologous expression of specific antigens in a desired host source strain, and approaches to doing so are reviewed. Additionally, the emerging area of engineered pathogen-specific carbohydrate sequences, or glycosylated OMVs is reviewed and contrasted with protein antigen delivery. Existing OMV-based vaccines as well as their routes of administration round out the text. Overall, this is an exciting time in the OMV field as it matures and leads to more effective and targeted ways to induce desired pathogen-specific immune responses.
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
jerry完成签到,获得积分20
刚刚
刚刚
百事可乐发布了新的文献求助10
刚刚
张莹发布了新的文献求助30
1秒前
cc完成签到,获得积分10
1秒前
1秒前
一颗板蓝根关注了科研通微信公众号
1秒前
黑脸大汉发布了新的文献求助10
2秒前
Otto Curious发布了新的文献求助10
3秒前
4秒前
顾矜的应助被潇洒听云采纳,获得10
5秒前
santiago发布了新的文献求助10
5秒前
笨蛋比个耶完成签到,获得积分10
5秒前
6秒前
爆米花的应助被frost采纳,获得10
6秒前
甜心宝贝发布了新的文献求助10
6秒前
6秒前
7秒前
wanci的应助被科研通管家采纳,获得10
7秒前
情怀的应助被科研通管家采纳,获得10
7秒前
7秒前
Herbert发布了新的文献求助10
7秒前
科目三的应助被科研通管家采纳,获得10
7秒前
7秒前
打打的应助被科研通管家采纳,获得10
7秒前
Akim的应助被科研通管家采纳,获得10
7秒前
脑洞疼的应助被科研通管家采纳,获得10
8秒前
852的应助被科研通管家采纳,获得10
8秒前
8秒前
8秒前
Orange的应助被科研通管家采纳,获得10
8秒前
SciGPT的应助被科研通管家采纳,获得10
8秒前
滴滴答答的应助被zhanhua li采纳,获得10
8秒前
DW的应助被科研通管家采纳,获得10
8秒前
田様的应助被科研通管家采纳,获得30
8秒前
英姑的应助被科研通管家采纳,获得10
9秒前
爆米花的应助被科研通管家采纳,获得10
9秒前
乐乐的应助被雅蕊采纳,获得10
9秒前
Ran的应助被lifenghou采纳,获得10
9秒前
9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
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
Stell & Maran's Head and Neck Surgery and Oncology 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 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8029487
求助须知:如何正确求助?哪些是违规求助? 9469413
关于积分的说明 21237405
捐赠科研通 7599715
什么是DOI,文献DOI怎么找? 3388333
关于科研通互助平台的介绍 2520680
邀请新用户注册赠送积分活动 2424945