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首页> 外文期刊>Frontiers in Immunology >Using Lung Organoids to Investigate Epithelial Barrier Complexity and IL-17 Signaling During Respiratory Infection
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Using Lung Organoids to Investigate Epithelial Barrier Complexity and IL-17 Signaling During Respiratory Infection

机译:在呼吸道感染期间使用肺类器官研究上皮屏障的复杂性和IL-17信号传导

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Microbial Causes of Respiratory Tract Infections The respiratory system is the first point of contact with airborne microbial compounds. Consequently, lung mucosal immunity has been extensively studied to understand the mechanisms of host resistance to respiratory infections. The lungs exhibit highly active innate and adaptive mucosal immune mechanisms: they are infiltrated with a wide spectrum of immune cells in steady state and possess the capacity to recruit vast numbers of infiltrating cells upon infection or encounter with inflammatory stimuli. Despite the existence of such protective mechanisms, respiratory tract infections (RTIs) with epidemic and pandemic potential are one of the most common causes of morbidity and mortality worldwide. In recent years, studies using new lung culture systems, such as air liquid interface (ALI), spheroids, tissue explants and advances in DNA sequencing technology have helped identify that the upper and lower respiratory tracts represent distinct biomes in terms of their commensal microorganism colonization, immune barriers and host defense mechanisms ( 1 – 3 ). Most lower respiratory tract infections (LRTIs) cause bronchitis, bronchiolitis and pneumonia as a result of Streptococcus pneumonia or Haemophilus Influenzae infection. In children, respiratory viruses are responsible for an enormous amount of serious LRTIs ( 4 , 5 ). In addition, most upper respiratory tract infections are of viral etiology ( 6 ). Fungal infections of the lower respiratory tract are also typically caused by pathogenic dimorphic fungi ( 7 ). In addition, opportunistic fungi as Aspergillus fumigatus commonly cause pneumonia. There is an extraordinary need to better understand human respiratory tract infections, as LRTI represent one of the ten most common causes of death in the world ( 8 ). Technical limitations are inherent with pneumonia animal models and in vitro lung infections modeled using immortalized cell lines. In particular, for in vivo models, lung anatomy, namely the distribution of the bronchial glands, differs between rodents and humans, and complex processes such as mucus production, or organization of the epithelial barrier are not accurately reproduced experimentally. For in vitro lung infections, it is not possible to reproduce in vivo -like architecture, the microenvironment, the pulmonary cell complexity in composition. Moreover, bronchial epithelial cells lack cilia and tight junctions. Although lung epithelial barrier cell signaling is today more deeply understood, it has still not been fully evaluated in reproducible lung infection models. Recent advances in the stem-cell field, including the generation of protocols allowing tissue differentiation from induced pluripotent stem cells (iPSCs), have provided new opportunities to study host–pathogen interactions in a human experimental system that maintains controlled tissue complexity. For this reason, recently developed techniques now allow for innovative and more meaningful investigations of 3D human lung tissue. Here we outline the complexity of the epithelial barrier to opportunistic microbes and the new 2D and 3D lung models of infection, and explain how these models may be used to improve our knowledge on epithelial cell signaling events upon infection. Complexity of the Lung Epithelial Barrier Epithelial cells represent the first point of contact for opportunistic microbes or pathogens in the respiratory tract ( 9 ). The lung mucosa senses infection through pattern recognition receptors expressed by the airway epithelia ( 10 – 12 ), alveolar cells ( 13 , 14 ), and mesenchymal stem cells ( 15 , 16 ). Several cell types then orchestrate mucosal barrier immunity: club cells, ciliated cells, basal cells, goblet cells and neuroendocrine cells as tuft cells decorate the proximal airways, while type-1 and type-2 alveolar cells populate the distal epithelium. The lungs can also be divided into a conducting zone and a respiratory zone, which are populated by different progenitor cell types. The conducting zone is abundant in basal cells ( 17 , 18 ), airway secretory club cells and lineage-negative epithelial cells ( 18 ). The respiratory zone is mainly populated by alveolar type II cells (AEC II) that can proliferate and act as progenitor cells, replacing AECII and AECI cells ( 19 ). The complex barrier functions executed by the lung epithelial layer, including mucociliary clearance and antimicrobial production, cooperate to clear inhaled pathogens. Unsurprisingly, gaining a clear understanding of the lung epithelial barrier has been restrained by this described complexity of the lung organization and its underlying cell types. Early research strategies based on immortalized airway epithelial cells or lung primary cells thus may not replicate the conditions where inhaled microorganisms become pathogens that trigger infections. Developing 2D and 3D Tools to Mimic Lung Structure In vivo lung epithelial barrier experiments are c
机译:呼吸道感染的微生物原因呼吸系统是与空气传播的微生物化合物接触的第一点。因此,肺粘膜免疫已被广泛研究以了解宿主抵抗呼吸道感染的机制。肺部表现出高度活跃的先天性和适应性粘膜免疫机制:它们被稳定状态下的各种免疫细胞浸润,并具有在感染或遇到炎性刺激时募集大量浸润细胞的能力。尽管存在这种保护机制,但具有流行和大流行潜力的呼吸道感染(RTI)是全世界发病率和死亡率的最常见原因之一。近年来,使用新的肺​​部培养系统进行的研究,例如气液界面(ALI),球体,组织外植体以及DNA测序技术的进步,已帮助确定上呼吸道和下呼吸道在共生微生物定殖方面代表了独特的生物群落。 ,免疫屏障和宿主防御机制(1-3)。由于链球菌肺炎或流感嗜血杆菌感染,大多数下呼吸道感染(LRTI)引起支气管炎,细支气管炎和肺炎。在儿童中,呼吸道病毒是导致大量严重LRTI的原因(4,5)。另外,大多数上呼吸道感染是病毒病因学(6)。下呼吸道的真菌感染也通常是由致病性二态性真菌引起的(7)。另外,机会性真菌如烟曲霉通常引起肺炎。迫切需要更好地了解人类呼吸道感染,因为LRTI代表了世界上十种最常见的死亡原因之一(8)。技术局限性是肺炎动物模型和使用永生细胞系建模的体外肺部感染所固有的。特别地,对于体内模型,啮齿动物和人类之间的肺部解剖结构,即支气管腺的分布是不同的,并且复杂的过程例如粘液产生或上皮屏障的组织不能通过实验精确地再现。对于体外肺部感染,不可能复制体内样结构,微环境,肺细胞组成的复杂性。此外,支气管上皮细胞缺乏纤毛和紧密连接。尽管今天人们对肺上皮屏障细胞信号转导有了更深入的了解,但在可重现的肺部感染模型中仍未对其进行全面评估。干细胞领域的最新进展,包括生成允许组织与诱导性多能干细胞(iPSC)分化的方案,为研究维持受控组织复杂性的人类实验系统中宿主与病原体的相互作用提供了新的机会。因此,最近开发的技术现在可以对3D人肺组织进行创新且更有意义的研究。在这里,我们概述了机会性微生物的上皮屏障的复杂性以及新的2D和3D肺部感染模型,并解释了如何使用这些模型来提高我们对感染后上皮细胞信号事件的认识。肺上皮屏障的复杂性上皮细胞代表呼吸道中机会性微生物或病原体的第一个接触点(9)。肺粘膜通过气道上皮细胞(10-12),肺泡细胞(13,14)和间充质干细胞(15,16)表达的模式识别受体来感知感染。然后,几种细胞类型协调粘膜屏障免疫:当簇状细胞装饰近端气道时,俱乐部细胞,纤毛细胞,基底细胞,杯状细胞和神经内分泌细胞,而1型和2型肺泡细胞则分布在远端上皮中。肺也可以分为传导区和呼吸区,它们由不同的祖细胞类型组成。传导区在基底细胞(17、18),气道分泌性俱乐部细胞和谱系阴性上皮细胞(18)中丰富。呼吸区主要由肺泡II型细胞(AEC II)组成,这些细胞可以增殖并充当祖细胞,取代了AECII和AECI细胞(19)。肺上皮层执行的复杂屏障功能(包括粘液纤毛清除和抗菌素产生)共同清除吸入的病原体。毫不奇怪,对肺上皮屏障的清晰了解已受到所描述的肺组织及其潜在细胞类型的复杂性的限制。因此,基于永生的气道上皮细胞或肺原代细胞的早期研究策略可能不会复制吸入的微生物成为引发感染的病原体的条件。开发2D和3D工具以模仿肺部结构体内肺上皮屏障实验正在进行中

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