生物
背景(考古学)
免疫系统
免疫学
免疫识别
共同进化
计算生物学
延展性
进化生物学
计算机科学
密文
操作系统
加密
古生物学
作者
Ivaylo Ivanov,Timur Tuganbaev,Ashwin N. Skelly,Kenya Honda
出处
期刊:Annual Review of Immunology
[Annual Reviews]
日期:2022-02-03
卷期号:40 (1): 559-587
被引量:15
标识
DOI:10.1146/annurev-immunol-101320-011829
摘要
The immune system employs recognition tools to communicate with its microbial evolutionary partner. Among all the methods of microbial perception, T cells enable the widest spectrum of microbial recognition resolution, ranging from the crudest detection of whole groups of microbes to the finest detection of specific antigens. The application of this recognition capability to the crucial task of combatting infections has been the focus of classical immunology. We now appreciate that the coevolution of the immune system and the microbiota has led to development of a lush immunological decision tree downstream of microbial recognition, of which an inflammatory response is but one branch. In this review we discuss known T cell–microbe interactions in the gut and place them in the context of an algorithmic framework of recognition, context-dependent interpretation, and response circuits across multiple levels of microbial recognition resolution. The malleability of T cells in response to the microbiota presents an opportunity to edit immune response cellularity, identity, and functionality by utilizing microbiota-controlled pathways to promote human health.
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