Suppr超能文献

系统生物学方法在确定更有效的疫苗的分子特征方面的作用。

The role of systems biology approaches in determining molecular signatures for the development of more effective vaccines.

机构信息

a Mayo Vaccine Research Group , Mayo Clinic , Rochester , MN , USA.

b Department of Mathematics , University of Tulsa , Tulsa , OK , USA.

出版信息

Expert Rev Vaccines. 2019 Mar;18(3):253-267. doi: 10.1080/14760584.2019.1575208. Epub 2019 Feb 11.

Abstract

INTRODUCTION

Emerging infectious diseases are a major threat to public health, and while vaccines have proven to be one of the most effective preventive measures for infectious diseases, we still do not have safe and effective vaccines against many human pathogens, and emerging diseases continually pose new threats. The purpose of this review is to discuss how the creation of vaccines for these new threats has been hindered by limitations in the current approach to vaccine development. Recent advances in high-throughput technologies have enabled scientists to apply systems biology approaches to collect and integrate increasingly large datasets that capture comprehensive biological changes induced by vaccines, and then decipher the complex immune response to those vaccines.

AREAS COVERED

This review covers advances in these technologies and recent publications that describe systems biology approaches to understanding vaccine immune responses and to understanding the rational design of new vaccine candidates.

EXPERT OPINION

Systems biology approaches to vaccine development provide novel information regarding both the immune response and the underlying mechanisms and can inform vaccine development.

摘要

简介

新发传染病对公共卫生构成重大威胁,而疫苗已被证明是预防传染病最有效的手段之一,但我们仍未针对许多人类病原体开发出安全有效的疫苗,新发疾病也不断带来新的威胁。本文旨在探讨当前疫苗开发方法的局限性如何阻碍了针对这些新威胁的疫苗的研发。高通量技术的最新进展使科学家能够应用系统生物学方法来收集和整合越来越多的数据集,这些数据集捕捉到疫苗诱导的全面生物学变化,然后解析对这些疫苗的复杂免疫反应。

涵盖领域

本文综述了这些技术的进展,以及近期描述系统生物学方法来理解疫苗免疫反应和合理设计新疫苗候选物的出版物。

专家意见

疫苗开发的系统生物学方法为免疫反应以及潜在机制提供了新的信息,并为疫苗开发提供了信息。

相似文献

3
[Development of new vaccines].[新型疫苗的研发]
Enferm Infecc Microbiol Clin. 2015 Oct;33(8):557-68. doi: 10.1016/j.eimc.2015.06.013. Epub 2015 Sep 2.
6
Vaccinology in the era of high-throughput biology.高通量生物学时代的疫苗学。
Philos Trans R Soc Lond B Biol Sci. 2015 Jun 19;370(1671). doi: 10.1098/rstb.2014.0146.
8
Vaccines for the future: learning from human immunology.未来的疫苗:从人类免疫学中学习。
Microb Biotechnol. 2012 Mar;5(2):149-55. doi: 10.1111/j.1751-7915.2011.00276.x. Epub 2011 Aug 31.
9
New approaches to understanding the immune response to vaccination and infection.理解疫苗接种和感染免疫反应的新方法。
Vaccine. 2015 Sep 29;33(40):5271-81. doi: 10.1016/j.vaccine.2015.06.117. Epub 2015 Jul 29.
10
Profiling immunity to HIV vaccines with systems biology.用系统生物学方法分析 HIV 疫苗免疫。
Curr Opin HIV AIDS. 2012 Jan;7(1):32-7. doi: 10.1097/COH.0b013e32834ddcd9.

引用本文的文献

8
Systems Biology Approaches for Therapeutics Development Against COVID-19.系统生物学方法在针对 COVID-19 的治疗开发中的应用。
Front Cell Infect Microbiol. 2020 Oct 28;10:560240. doi: 10.3389/fcimb.2020.560240. eCollection 2020.

本文引用的文献

4
The potential of metabolic profiling for vaccine development.代谢组学在疫苗开发中的潜力。
Semin Immunol. 2018 Oct;39:44-51. doi: 10.1016/j.smim.2018.07.002. Epub 2018 Jul 19.
5
The influence of the intestinal microbiome on vaccine responses.肠道微生物组对疫苗反应的影响。
Vaccine. 2018 Jul 16;36(30):4433-4439. doi: 10.1016/j.vaccine.2018.04.066. Epub 2018 Jun 13.
6
GoldiRunx and Remembering Cytotoxic Memory.GoldiRunx 和记忆细胞毒性记忆。
Immunity. 2018 Apr 17;48(4):614-615. doi: 10.1016/j.immuni.2018.03.032.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验