Suppr超能文献

物种特异性 CD4 T 细胞使从微生物群落组成预测黏膜免疫表型成为可能。

Species-specific CD4 T cells enable prediction of mucosal immune phenotypes from microbiota composition.

机构信息

Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029.

Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029.

出版信息

Proc Natl Acad Sci U S A. 2023 Mar 21;120(12):e2215914120. doi: 10.1073/pnas.2215914120. Epub 2023 Mar 14.

Abstract

How bacterial strains within a complex human microbiota collectively shape intestinal T cell homeostasis is not well understood. Methods that quickly identify effector strains or species that drive specific mucosal T cell phenotypes are needed to define general principles for how the microbiota modulates host immunity. We colonize germ-free mice with defined communities of cultured strains and profile antigen-specific responses directed toward individual strains ex vivo. We find that lamina propria T cells are specific to bacterial strains at the species level and can discriminate between strains of the same species. Ex vivo restimulations consistently identify the strains within complex communities that induce Th17 responses in vivo, providing the potential to shape baseline immune tone via community composition. Using an adoptive transfer model of colitis, we find that lamina propria T cells respond to different bacterial strains in conditions of inflammation versus homeostasis. Collectively, our approach represents a unique method for efficiently predicting the relative impact of individual bacterial strains within a complex community and for parsing microbiota-dependent phenotypes into component fractions.

摘要

复杂的人类微生物群中,细菌菌株如何共同塑造肠道 T 细胞稳态尚不清楚。需要快速鉴定效应菌株或物种的方法,以确定微生物群如何调节宿主免疫的一般原则,这些效应菌株或物种可驱动特定的黏膜 T 细胞表型。我们用培养的菌株定义的定植群落定植无菌小鼠,并在体外分析针对个别菌株的抗原特异性反应。我们发现,固有层 T 细胞在物种水平上是针对细菌菌株特异性的,并且可以区分同一物种的菌株。体外再刺激一致地鉴定出复杂群落中诱导体内 Th17 反应的菌株,这为通过群落组成来塑造基线免疫状态提供了潜力。使用结肠炎的过继转移模型,我们发现固有层 T 细胞在炎症与稳态条件下对不同的细菌菌株产生反应。总的来说,我们的方法代表了一种独特的方法,可以有效地预测复杂群落中单个细菌菌株的相对影响,并将依赖于微生物群的表型分解为组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2358/10041165/3055cb5daf04/pnas.2215914120fig01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验