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Vaccinomics adversomics and the immune response network theory: Individualized vaccinology in the 21st century

机译:疫苗组学对抗组学和免疫反应网络理论:21世纪的个性化疫苗学

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摘要

Vaccines, like drugs and medical procedures, are increasingly amenable to individualization or personalization, often based on novel data resulting from high throughput “omics” technologies. As a result of these technologies, 21st century vaccinology will increasingly see the abandonment of a “one size fits all” approach to vaccine dosing and delivery, as well as the abandonment of the empiric “isolate–inactivate–inject” paradigm for vaccine development. In this review, we discuss the immune response network theory and its application to the new field of vaccinomics and adversomics, and illustrate how vaccinomics can lead to new vaccine candidates, new understandings of how vaccines stimulate immune responses, new biomarkers for vaccine response, and facilitate the understanding of what genetic and other factors might be responsible for rare side effects due to vaccines. Perhaps most exciting will be the ability, at a systems biology level, to integrate increasingly complex high throughput data into descriptive and predictive equations for immune responses to vaccines. Herein, we discuss the above with a view toward the future of vaccinology.
机译:疫苗(例如药物和医疗程序)越来越适合于个性化或个性化,通常基于高通量“组学”技术产生的新数据。这些技术的结果是,在21世纪的疫苗学中,越来越多的人会放弃“一刀切”的方法来进行疫苗的给药和递送,而放弃了针对疫苗开发的经验性的“隔离-灭活-注射”范式。在这篇综述中,我们讨论了免疫反应网络理论及其在疫苗学和逆反医学新领域的应用,并说明了疫苗学如何导致新的候选疫苗,对疫苗如何刺激免疫反应的新认识,疫苗反应的新生物标记以及有助于了解哪些遗传因素和其他因素可能导致疫苗引起的罕见副作用。也许最令人兴奋的是在系统生物学水平上将日益复杂的高通量数据整合到用于疫苗免疫反应的描述性和预测性方程式中的能力。在此,我们对疫苗学的未来进行了讨论。

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