Type III secretion system effector subnetworks elicit distinct host immune responses to infection.
Type III secretion system effector subnetworks elicit distinct host immune responses to infection.
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III 型分泌系统效应子网络引发不同的宿主对感染的免疫反应。
DOI：
10.1016/j.mib.2021.08.008
复制
发表时间：
2021
影响因子：
5.4
通讯作者：
Sanchez-Garrido J
中科院分区：
文献类型：
--
作者：
Sanchez-Garrido J
C.啮齿类感染已经推进了我们对粘膜免疫的理解。T3 SS效应子在肠上皮细胞中形成了强大而灵活的网络。效应子网络可以在保持毒力的同时经历显著的收缩。不同的效应子库诱导不同的免疫特征。人工智能模型可以允许预测体内感染结果。啮齿类柠檬酸杆菌是一种天然的小鼠病原体，其在免疫活性小鼠的结肠中定植，提供了一种用于询问体内宿主-病原体-微生物群相互作用的稳健模型。该模型为肠道感染的局部宿主反应提供了新的见解，包括肠上皮细胞免疫代谢和粘膜免疫的变化。C.啮齿动物通过III型分泌系统（T3 SS）将31种细菌效应物注入上皮细胞。最近，这些效应子被证明能够形成多个细胞内的子网络，可以承受显着的收缩，同时保持毒力。在这里，我们强调了在理解肠道粘膜对感染和效应生物学的反应方面的最新进展，以及人工智能（AI）在理解传染病方面的潜在用途，并推测了T3 SS效应网络在宿主适应中的作用。
HighlightsC. rodentium infection has advanced our understanding of mucosal immunity.T3SS effectors form robust and flexible networks in intestinal epithelial cells.Effector networks can undergo significant contraction while maintaining virulence.Different effector repertoires induce distinct immune signatures.Artificial intelligence models can allow prediction of infection outcomes in vivo.Citrobacter rodentium, a natural mouse pathogen which colonises the colon of immuno-competent mice, provides a robust model for interrogating host-pathogen-microbiota interactions in vivo. This model has been key to providing new insights into local host responses to enteric infection, including changes in intestinal epithelial cell immunometabolism and mucosal immunity. C. rodentium injects 31 bacterial effectors into epithelial cells via a type III secretion system (T3SS). Recently, these effectors were shown to be able to form multiple intracellular subnetworks which can withstand significant contractions whilst maintaining virulence. Here we highlight recent advances in understanding gut mucosal responses to infection and effector biology, as well as potential uses for artificial intelligence (AI) in understanding infectious disease and speculate on the role of T3SS effector networks in host adaption.
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DOI：
10.1073/pnas.0604891103
发表时间：
2006-10-03
影响因子：
11.1
作者：
Tobe, Toru;Beatson, Scott A.;Pallen, Mark J.
通讯作者：
Pallen, Mark J.
影响因子：
3.1
作者：
Voth DE;Broederdorf LJ;Graham JG
通讯作者：
Graham JG
影响因子：
30.3
作者：
Kamada N;Sakamoto K;Seo SU;Zeng MY;Kim YG;Cascalho M;Vallance BA;Puente JL;Núñez G
通讯作者：
Núñez G
影响因子：
6.4
作者：
Hopkins, Eve G. D.;Roumeliotis, Theodoros I.;Frankel, Gad
通讯作者：
Frankel, Gad
影响因子：
30.3
作者：
Gillis CC;Hughes ER;Spiga L;Winter MG;Zhu W;Furtado de Carvalho T;Chanin RB;Behrendt CL;Hooper LV;Santos RL;Winter SE
通讯作者：
Winter SE