a Mayo Vaccine Research Group , Mayo Clinic , Rochester , MN , USA.
b Department of Mathematics , University of Tulsa , Tulsa , OK , USA.
Expert Rev Vaccines. 2019 Mar;18(3):253-267. doi: 10.1080/14760584.2019.1575208. Epub 2019 Feb 11.
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.
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.
Systems biology approaches to vaccine development provide novel information regarding both the immune response and the underlying mechanisms and can inform vaccine development.
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。
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。
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。