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免疫衰老资源库——一个用于免疫衰老研究的多组学数据库。

Immunosenescence Inventory-a multi-omics database for immune aging research.

作者信息

Li Hao, Zhao Wei, Yang Fei, Qiao Qin, Ma Shuai, Yang Kuan, Song Shuhui, Wang Si, Qu Jing, Liu Guang-Hui, Bao Yiming, Zhang Weiqi

机构信息

China National Center for Bioinformation, Beijing 100101, China.

Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

Nucleic Acids Res. 2025 Jan 6;53(D1):D1047-D1054. doi: 10.1093/nar/gkae1102.

Abstract

The immune system is intricately interconnected with all other bodily systems. As individuals age, the immune system undergoes changes known as immunosenescence, increasing susceptibility to disease, and contributing significantly to the morbidity and mortality observed in older populations. Immunosenescence drives systemic aging and therefore represents a key therapeutic target to extend healthy aging. In recent years, the extensive application of omics technologies has broadened our understanding of aging and immunity, necessitating a comprehensive database to encapsulate these advancements and deepen our insights into immune aging in the era of artificial intelligence. The Immunosenescence Inventory is a pioneering database designed to provide a multidimensional and integrative view of the aging immune system. By leveraging cutting-edge omics technologies and analytical tools, Immunosenescence Inventory offers a comprehensive resource for researchers to explore the intricate relationship between immunosenescence and age-related health outcomes. Furthermore, the database, which aids in the creation of diagnostic tools for immune aging conditions, is now publicly available at https://ngdc.cncb.ac.cn/iaa/home.

摘要

免疫系统与身体的所有其他系统有着错综复杂的联系。随着个体年龄的增长,免疫系统会经历称为免疫衰老的变化,增加对疾病的易感性,并对老年人群中观察到的发病率和死亡率有显著影响。免疫衰老推动全身衰老,因此是延长健康衰老的关键治疗靶点。近年来,组学技术的广泛应用拓宽了我们对衰老和免疫的理解,需要一个综合数据库来囊括这些进展,并在人工智能时代加深我们对免疫衰老的认识。免疫衰老数据库是一个开创性的数据库,旨在提供衰老免疫系统的多维度和综合视图。通过利用前沿的组学技术和分析工具,免疫衰老数据库为研究人员探索免疫衰老与年龄相关健康结果之间的复杂关系提供了全面的资源。此外,该数据库有助于创建免疫衰老状况的诊断工具,目前可在https://ngdc.cncb.ac.cn/iaa/home上公开获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c57/11701554/b1dc2bbaf681/gkae1102figgra1.jpg

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