摘要
【目的】本文旨在通过对mRNA技术相关药物或疫苗进行全面分析,以期为充分发挥mRNA技术潜力提供有价值的信息。【方法】基于Cortellis数据库,从发展趋势、主要国家/地区、主要机构、作用靶点、产品类型、疾病适应症、临床阶段和市场情况等多维度对mRNA技术相关药物或疫苗进行分析,力求能全面系统地反映mRNA领域研究现状。【结果】mRNA产品自2020年起呈快速发展趋势;美国、中国和德国的mRNA产品数量位列全球前三位;Moderna公司和BioNTech公司的mRNA产品数量较多;mRNA产品主要应用于传染性疾病领域、肿瘤领域和内分泌/代谢疾病领域,其靶点以冠状病毒尖峰蛋白为主;mRNA产品临床研究阶段以临床前研究阶段为主。【结论】我国已处于mRNA相关研究技术的前沿,但与美国、德国等国家相比还存在一定差距,未来我国应加大对mRNA技术领域项目部署和基础研究力度,提高临床研究水平和成果转化应用等。
[Objective]This paper aims to provide valuable information for fully utilizing the potential of mRNA technology through a comprehensive analysis of mRNA technology related drugs or vaccines.[Methods]Based on the Cortellis database,mRNA technology related drugs or vaccines were analyzed from the development trends,major countries/regions,major institutions,action targets,product types,disease indications,clinical stages and market conditions,so as to comprehensively and systematically reflect the research status in the field of mRNA.[Results]mRNA products have shown a rapid development trend since 2020.The number of mRNA products in the United States,China and Germany rank the top three in the world.Moderna and BioNTech have a large number of mRNA products.mRNA products are mainly used in the field of infectious diseases,neoplasms and endocrine/metabolic diseases,and their targets are mainly coronavirus peak protein.The clinical research of mRNA products is mainly at the preclinical research stage.[Conclusions]China has been in the forefront of mRNA related research,but there is still a gap compared with the United States,Germany and some other countries in basic research related to mRNA technologies.In the future,China should increase the project deployment and basic research in the field of mRNA technology,improve the level of clinical research and the transformation and application of research achievements.
作者
李东巧
王茜
LI Dongqiao;WANG Xi(National Science Library,Chinese Academy of Sciences,Beijing 100190,China;Department of Information Resources Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China)
出处
《数据与计算发展前沿》
CSCD
2023年第4期57-76,共20页
Frontiers of Data & Computing
基金
中国科学院青年创新促进会资助项目(E329040901)。