某种肠道细菌
TLR2型
免疫系统
生物
细胞生物学
免疫原
化学
生物化学
先天免疫系统
免疫学
抗体
单克隆抗体
肠道菌群
作者
Munhyung Bae,Chelsi D. Cassilly,Xiaoxi Liu,Sung‐Moo Park,Betsabeh Khoramian Tusi,Xiangjun Chen,Jaeyoung Kwon,Pavel Filipčík,Andrew S. Bolze,Zehua Liu,Hera Vlamakis,Daniel B. Graham,Sara J. Buhrlage,Ramnik J. Xavier,Jon Clardy
出处
期刊:Nature
[Springer Nature]
日期:2022-07-27
卷期号:608 (7921): 168-173
被引量:187
标识
DOI:10.1038/s41586-022-04985-7
摘要
Abstract Multiple studies have established associations between human gut bacteria and host physiology, but determining the molecular mechanisms underlying these associations has been challenging 1–3 . Akkermansia muciniphila has been robustly associated with positive systemic effects on host metabolism, favourable outcomes to checkpoint blockade in cancer immunotherapy and homeostatic immunity 4–7 . Here we report the identification of a lipid from A. muciniphila ’s cell membrane that recapitulates the immunomodulatory activity of A. muciniphila in cell-based assays 8 . The isolated immunogen, a diacyl phosphatidylethanolamine with two branched chains (a15:0-i15:0 PE), was characterized through both spectroscopic analysis and chemical synthesis. The immunogenic activity of a15:0-i15:0 PE has a highly restricted structure–activity relationship, and its immune signalling requires an unexpected toll-like receptor TLR2–TLR1 heterodimer 9,10 . Certain features of the phospholipid’s activity are worth noting: it is significantly less potent than known natural and synthetic TLR2 agonists; it preferentially induces some inflammatory cytokines but not others; and, at low doses (1% of EC 50 ) it resets activation thresholds and responses for immune signalling. Identifying both the molecule and an equipotent synthetic analogue, its non-canonical TLR2–TLR1 signalling pathway, its immunomodulatory selectivity and its low-dose immunoregulatory effects provide a molecular mechanism for a model of A. muciniphila’ s ability to set immunological tone and its varied roles in health and disease.
科研通智能强力驱动
Strongly Powered by AbleSci AI