Zhang Ting, Jian Zhongquan, Chen Juan, Xu Dongzi, Yang Xiaoyi, Lu Yan, Yan Shu, Pan Lizi, Wu Qingqiang, Ouyang Zhaolian
Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Institute of Artificial Intelligence, Xiamen University, Xiamen, Fujian, China.
Hum Vaccin Immunother. 2025 Dec;21(1):2454078. doi: 10.1080/21645515.2025.2454078. Epub 2025 Jan 22.
mRNA vaccines offer groundbreaking technological advantages and broad application potential. Their rapid advancement, particularly during the COVID-19 pandemic, is the result of decades of research and numerous technological breakthroughs. These discoveries build upon each other, forming dense, interconnected networks of progress. Studying the technological development paths of mRNA vaccines is therefore essential. Main path analysis (MPA) is particularly effective for mapping out development trajectories within complex and interconnected networks, which serves as a powerful tool for identifying key nodes and innovations. This study introduces a novel approach to extracting main paths from a patent citation network in the mRNA vaccine field. Initially, we shielded edges connecting the origin and terminus patents. Subsequently, we extracted the main paths from intermediate patents, and then, we reintegrated the edges connecting the origin and terminus patents based on the citation relationships, resulting in a comprehensive extraction of the main paths. The research findings indicate a consistency among the global main paths, global key-route main paths, local forward main paths, and local key-route main paths within the mRNA vaccine field. The patents on the main paths predominantly focus on nucleic acid modifications and delivery systems. The local backward main paths identify a greater number of patents, especially those related to litigation, offering a richer and more diverse set of technological insights. This study significantly advances the methodology of MPA, with the innovative shielding technique offering a fresh perspective for navigating complex networks and providing a deeper understanding of technological development in the mRNA vaccine domain.
信使核糖核酸(mRNA)疫苗具有开创性的技术优势和广泛的应用潜力。它们的迅速发展,尤其是在新冠疫情期间,是数十年研究和众多技术突破的成果。这些发现相互依存,形成了密集且相互关联的进展网络。因此,研究mRNA疫苗的技术发展路径至关重要。主路径分析(MPA)在描绘复杂且相互关联的网络中的发展轨迹方面特别有效,它是识别关键节点和创新的有力工具。本研究引入了一种从mRNA疫苗领域的专利引用网络中提取主路径的新方法。首先,我们屏蔽了连接起始专利和终端专利的边。随后,我们从中间专利中提取主路径,然后,基于引用关系重新整合连接起始专利和终端专利的边,从而全面提取主路径。研究结果表明,mRNA疫苗领域内的全球主路径、全球关键路线主路径、局部向前主路径和局部关键路线主路径之间具有一致性。主路径上的专利主要集中在核酸修饰和递送系统。局部向后主路径识别出更多的专利,尤其是与诉讼相关的专利,提供了更丰富多样的技术见解。本研究显著推进了MPA方法,创新的屏蔽技术为驾驭复杂网络提供了新视角,并能更深入地理解mRNA疫苗领域的技术发展。