CG I Group, Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg.
Front Immunol. 2020 Sep 25;11:585048. doi: 10.3389/fimmu.2020.585048. eCollection 2020.
Natural killer (NK) cells are innate lymphoid cells at the interface between innate and adaptive immunity and mostly studied for their important roles in viral infections and malignant tumors. They can kill diseased cells and produce cytokines and chemokines, thereby shaping the adaptive immune response. Nowadays, NK cells are considered as a strong weapon for cancer immunotherapy and can for example be transduced to express tumor-specific chimeric antigen receptors or harnessed with therapeutic antibodies such as the so-called NK engagers. Whereas a large body of literature exists about the antiviral and antitumoral properties of NK cells, their potential role in bacterial infections is not that well delineated. Furthermore, NK cells are much more heterogeneous than previously thought and have tissue-characteristic features and phenotypes. This review gives an overview of airway NK cells and their position within the immunological army dressed against bacterial infections in the upper and predominantly the lower respiratory tracts. Whereas it appears that in several infections, NK cells play a non-redundant and protective role, they can likewise act as rather detrimental. The use of mouse models and the difficulty of access to human airway tissues for ethical reasons might partly explain the divergent results. However, new methods are appearing that are likely to reduce the heterogeneity between studies and to give a more coherent picture in this field.
自然杀伤 (NK) 细胞是先天免疫和适应性免疫之间的固有淋巴细胞,主要因其在病毒感染和恶性肿瘤中的重要作用而受到研究。它们可以杀死病变细胞并产生细胞因子和趋化因子,从而塑造适应性免疫反应。如今,NK 细胞被认为是癌症免疫治疗的有力武器,例如可以转导以表达肿瘤特异性嵌合抗原受体,或与治疗性抗体(如所谓的 NK 激动剂)结合。尽管关于 NK 细胞的抗病毒和抗肿瘤特性已经有大量文献,但它们在细菌感染中的潜在作用尚未得到很好的描述。此外,NK 细胞比以前认为的更为异质,具有组织特征性的特征和表型。这篇综述概述了气道 NK 细胞及其在针对上呼吸道和主要是下呼吸道细菌感染的免疫大军中的位置。尽管在几种感染中,NK 细胞发挥着非冗余和保护作用,但它们同样也可能具有相当大的危害性。使用小鼠模型和出于伦理原因难以获得人类气道组织可能部分解释了这些相互矛盾的结果。然而,新的方法正在出现,这些方法有望减少研究之间的异质性,并在该领域提供更一致的图景。