Laboratory for Mucosal Immunology, Institute for Food, Nutrition and Health, D-HEST, ETH Zürich, Zürich, Switzerland.
Botnar Research Institute for Child Health, Basel, Switzerland.
Mucosal Immunol. 2022 Jun;15(6):1188-1198. doi: 10.1038/s41385-022-00574-z. Epub 2022 Nov 3.
In the beginning it was simple: we injected a protein antigen and studied the immune responses against the purified protein. This elegant toolbox uncovered thousands of mechanisms via which immune cells are activated. However, when we consider immune responses against real infectious threats, this elegant simplification misses half of the story: the infectious agents are typically evolving orders-of-magnitude faster than we are. Nowhere is this more pronounced than in the mammalian large intestine. A bacterium representing only 0.1% of the human gut microbiota will have a population size of 10 clones, each actively replicating. Moreover, the evolutionary pressure from other microbes is at least as profound as direct effects of the immune system. Therefore, to really understand intestinal immune mechanisms, we need to understand both the host response and how rapid microbial evolution alters the apparent outcome of the response. In this review we use the examples of intestinal inflammation and secretory immunoglobulin A (SIgA) to highlight what is already known (Fig. 1). Further, we will explore how these interactions can inform immunotherapy and prophylaxis. This has major implications for how we design effective mucosal vaccines against increasingly drug-resistant bacterial pathogens Fig. 1 THE IMMUNE RESPONSE SHAPES THE FITNESS LANDSCAPE IN THE GASTRO-INTESTINAL TRACT.: The red arrows depict possible evolutionary paths of a novel colonizer along adaptive peaks in the intestinal fitness landscapes that change with the status of the host immune system. The flat surfaces represent the non-null fitness baselines (values x or y) at which a bacterium can establish at minimum carrying capacity. a In the healthy gut, metabolic competence, resistance to aggressions by competitors and predators, swift adaptation to rapid fluctuations as well as surviving acidic pH and the flow of the intestinal content, represent potent selective pressures and as many opportunities for bacteria to increase fitness by phenotypic or genetic variations. b When pathogens trigger acute inflammation, bacteria must adapt to iron starvation, killing by immune cells and antimicrobial peptides, and oxidative stress, while new metabolic opportunities emerge. c When high-affinity SIgA are produced against a bacterium, e.g., after oral vaccination, escape of SIgA by altering or losing surface epitopes becomes crucial for maximum fitness. However, escaping polyvalent SIgA responses after vaccination with "evolutionary trap" vaccines leads to evolutionary trade-offs: A fitness maximum is reached in the vaccinated host gut that represents a major disadvantage for transmission into naïve hosts (fitness diminished below x) (d).
起初,事情很简单:我们注射一种蛋白质抗原,研究针对纯化蛋白质的免疫反应。这个优雅的工具包揭示了数以千计的免疫细胞被激活的机制。然而,当我们考虑针对真正的传染性威胁的免疫反应时,这种优雅的简化方法就漏掉了一半的故事:传染性病原体的进化速度通常比我们快几个数量级。在哺乳动物的大肠中,这种情况最为明显。代表人类肠道微生物组 0.1%的细菌将拥有 10 个克隆的种群规模,每个克隆都在积极复制。此外,来自其他微生物的进化压力与免疫系统的直接影响至少同样深刻。因此,要真正了解肠道免疫机制,我们不仅需要了解宿主的反应,还需要了解快速的微生物进化如何改变反应的明显结果。在这篇综述中,我们使用肠道炎症和分泌型免疫球蛋白 A(SIgA)的例子来突出已经知道的内容(图 1)。此外,我们将探讨这些相互作用如何为免疫治疗和预防提供信息。这对我们设计针对日益耐药的细菌病原体的有效黏膜疫苗有重大影响。