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利用生理相关模型再现慢性呼吸道感染。

Recreating chronic respiratory infections using physiologically relevant models.

机构信息

Laboratory of Pharmaceutical Microbiology, Ghent University, Belgium.

Laboratory of Pharmaceutical Microbiology, Ghent University, Belgium

出版信息

Eur Respir Rev. 2024 Aug 14;33(173). doi: 10.1183/16000617.0062-2024. Print 2024 Jul.

Abstract

Despite the need for effective treatments against chronic respiratory infections (often caused by pathogenic biofilms), only a few new antimicrobials have been introduced to the market in recent decades. Although different factors impede the successful advancement of antimicrobial candidates from the bench to the clinic, a major driver is the use of poorly predictive model systems in preclinical research. To bridge this translational gap, significant efforts have been made to develop physiologically relevant models capable of recapitulating the key aspects of the airway microenvironment that are known to influence infection dynamics and antimicrobial activity In this review, we provide an overview of state-of-the-art cell culture platforms and models that have been used to model chronic (biofilm-associated) airway infections, including air-liquid interfaces, three-dimensional cultures obtained with rotating-wall vessel bioreactors, lung-on-a-chips and pig lungs. Our focus is on highlighting the advantages of these infection models over standard (abiotic) biofilm methods by describing studies that have benefited from these platforms to investigate chronic bacterial infections and explore novel antibiofilm strategies. Furthermore, we discuss the challenges that still need to be overcome to ensure the widespread application of -like infection models in antimicrobial drug development, suggesting possible directions for future research. Bearing in mind that no single model is able to faithfully capture the full complexity of the (infected) airways, we emphasise the importance of informed model selection in order to generate clinically relevant experimental data.

摘要

尽管需要有效的治疗方法来对抗慢性呼吸道感染(通常由致病生物膜引起),但近几十年来,只有少数新的抗生素被推向市场。尽管有许多因素阻碍了从实验室到临床的抗菌候选药物的成功进展,但主要原因是在临床前研究中使用了预测效果不佳的模型系统。为了弥合这一转化差距,人们做出了巨大努力,开发了能够重现已知影响感染动力学和抗菌活性的气道微环境关键方面的生理相关模型。在这篇综述中,我们概述了用于模拟慢性(生物膜相关)气道感染的最先进的细胞培养平台和模型,包括气液界面、旋转壁式生物反应器获得的三维培养物、肺芯片和猪肺。我们的重点是通过描述从这些平台中受益的研究,强调这些感染模型相对于标准(非生物)生物膜方法的优势,以研究慢性细菌感染和探索新型抗生物膜策略。此外,我们讨论了仍需要克服的挑战,以确保类似感染模型在抗菌药物开发中的广泛应用,并为未来的研究提出了可能的方向。需要注意的是,没有任何一种模型能够忠实地捕捉(感染)气道的全部复杂性,因此我们强调了明智选择模型的重要性,以生成具有临床相关性的实验数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46b/11322828/a9fabd604da7/ERR-0062-2024.01.jpg

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