Computer‐Aided Discovery of Potent Broad‐Spectrum Vaccine Adjuvants

Author:

Ma Juan12,Wang Shenqing3,Zhao Chuanfang14,Yan Xiliang3,Ren Quanzhong15,Dong Zheng12,Qiu Jiahuang12,Liu Yin6,Shan Qing'e17,Xu Ming12,Yan Bing3,Liu Sijin127ORCID

Affiliation:

1. State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China

2. School of Environmental Sciences University of Chinese Academy of Sciences Beijing 100049 P. R. China

3. Institute of Environmental Research at Greater Bays Key Laboratory for Water Quality and Conservation of the Pearl River Delta Ministry of Education Guangzhou University Guangzhou 510006 P. R. China

4. School of Chemical Sciences University of Chinese Academy of Sciences Beijing 100049 P. R. China

5. Department of toxicology and sanitary chemistry School of public health Capital Medical University Beijing 100069 P. R. China

6. School of Environment Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou 330106 P. R. China

7. Medical Science and Technology Innovation Center Shandong First Medical University & Shandong Academy of Medical Sciences Jinan Shandong 250117 P. R. China

Abstract

AbstractAdjuvants stimulate the immune system to vigorously respond to a vaccine. While current adjuvants such as aluminum salts and oil‐in‐water emulsions have been used for decades, they do not generate broad and long‐lasting responses in many vaccines. Consequently, more potent adjuvants are needed. Here, using computer‐aided molecule design and machine learning, we discovered 2 new, broad‐spectrum adjuvants that can boost vaccine responses. Our library containing 46 toll‐like receptor (TLR)‐targeting agonist ligands were assembled on Au nanoparticles. Comprehensive in vitro, ex vivo and in vivo studies showed both leads promoted dendritic cell activation via multiple TLRs and enhanced antigen presentation to T cells. When used together with tumor‐specific antigens to immunize mice against B16‐OVA melanoma and 4T1‐PD1 breast cancer, both adjuvants unleashed strong immune responses that suppressed tumor growth and lung metastases. Our results show computer‐aided design and screening can rapidly uncover potent adjuvants for tackling waning immunity in current vaccines.

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

National Key Research and Development Program of China

Publisher

Wiley

Subject

General Chemistry,Catalysis

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3