Garcia Guilherme J M, Picher Maryse, Zuo Peiying, Okada Seiko F, Lazarowski Eduardo R, Button Brian, Boucher Richard C, Elston Tim C
Department of Pharmacology, University of North Carolina, Chapel Hill, NC, 27599, USA,
Subcell Biochem. 2011;55:51-74. doi: 10.1007/978-94-007-1217-1_3.
Extracellular nucleotides are key components of the signaling network regulating airway clearance. They are released by the epithelium into the airway surface liquid (ASL) to stimulate cilia beating activity, mucus secretion and airway hydration. Understanding the factors affecting their availability for purinoceptor activation is an important step toward the development of new therapies for obstructive lung diseases. This chapter presents a mathematical model developed to gain predictive insights into the regulation of ASL nucleotide concentrations on human airway epithelia. The parameters were estimated from experimental data collected on polarized primary cultures of human nasal and bronchial epithelial cells. This model reproduces major experimental observations: (1) the independence of steady-state nucleotide concentrations on ASL height, (2) the impact of selective ectonucleotidase inhibitors on their steady-state ASL concentrations, (3) the changes in ASL composition caused by mechanical stress mimicking normal breathing, (4) and the differences in steady-state concentrations existing between nasal and bronchial epithelia. In addition, this model launched the study of nucleotide release into uncharted territories, which led to the discovery that airway epithelia release, not only ATP, but also ADP and AMP. This study shows that computational modeling, coupled to experimental validation, provides a powerful approach for the identification of key therapeutic targets for the improvement of airway clearance in obstructive respiratory diseases.
细胞外核苷酸是调节气道清除的信号网络的关键组成部分。它们由上皮细胞释放到气道表面液体(ASL)中,以刺激纤毛摆动活动、黏液分泌和气道水合作用。了解影响嘌呤受体激活时其可用性的因素是开发阻塞性肺病新疗法的重要一步。本章介绍了一个数学模型,该模型旨在对人呼吸道上皮细胞上ASL核苷酸浓度的调节获得预测性见解。这些参数是根据在人鼻和支气管上皮细胞的极化原代培养物上收集的实验数据估算得出的。该模型再现了主要的实验观察结果:(1)稳态核苷酸浓度与ASL高度无关;(2)选择性外核苷酸酶抑制剂对其稳态ASL浓度的影响;(3)模拟正常呼吸的机械应力引起的ASL成分变化;(4)鼻和支气管上皮细胞之间存在的稳态浓度差异。此外,该模型开启了对核苷酸释放到未知领域的研究,这导致发现气道上皮细胞不仅释放ATP,还释放ADP和AMP。这项研究表明,计算建模与实验验证相结合,为识别改善阻塞性呼吸道疾病气道清除的关键治疗靶点提供了一种强大的方法。