Biological and Soft Systems Sector, Cavendish Laboratory, University of Cambridge, Cambridge, CB3 0HE, UK.
Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, 06510, USA.
Nat Commun. 2019 Apr 16;10(1):1763. doi: 10.1038/s41467-019-09798-3.
Personalized approaches for systematically assessing ciliary beat dynamics and for drug testing would improve the challenging task of diagnosing and treating respiratory disorders. In this pilot study, we show how multiscale differential dynamic microscopy (multi-DDM) can be used to characterize collective ciliary beating in a non-biased automated manner. We use multi-DDM to assess the efficacy of different CFTR-modulating drugs in human airway epithelial cells derived from subjects with cystic fibrosis (ΔF508/ΔF508 and ∆F508/-) based on ciliary beat frequency and coordination. Similar to clinical observations, drug efficacy is variable across donors, even within the same genotype. We show how our assay can quantitatively identify the most efficient drugs for restoring ciliary beating for each individual donor. Multi-DDM provides insight into ciliary beating responses following treatment with drugs, and has application in the broader context of respiratory disease and for drug screening.
个性化方法系统评估纤毛动态,并进行药物测试,将有助于提高诊断和治疗呼吸障碍这一具有挑战性的任务。在这项初步研究中,我们展示了如何以非偏倚自动化的方式使用多尺度微分动态显微镜(multi-DDM)来描述集体纤毛运动。我们使用 multi-DDM 来评估不同 CFTR 调节剂药物在源自囊性纤维化(ΔF508/ΔF508 和 ΔF508/-)个体的人呼吸道上皮细胞中的功效,基于纤毛摆动频率和协调性。与临床观察相似,即使在同一基因型中,药物功效在供体之间也存在差异。我们展示了我们的检测方法如何定量确定每个个体供体中最有效的恢复纤毛摆动的药物。multi-DDM 为治疗后纤毛摆动反应提供了深入了解,并且在更广泛的呼吸道疾病和药物筛选方面具有应用价值。