Parrilla Eduardo, Armengot Miguel, Mata Manuel, Cortijo Julio, Riera Jaime, Hueso José L, Moratal David
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:4446-9. doi: 10.1109/EMBC.2013.6610533.
Persistent respiratory syncytial virus (RSV) infections have been associated with the exacerbation of chronic inflammatory diseases, including chronic obstructive pulmonary disease (COPD). This virus infects the respiratory epithelium, leading to chronic inflammation, and induces the release of mucins and the loss of cilia activity, two factors that determine mucus clearance and the increase in sputum volume. In this study, an automatic method has been established to determine the ciliary motility activity from cell cultures by means of optical flow computation, and has been applied to 136 control cultures and to 144 RSV-infected cultures. The control group presented an average of cell surface with cilia motility per field of 41 ± 15 % (mean ± standard deviation), while the infected group presented a 11 ± 5 %, t-Student p<0.001. The cutoff value to classify a infected specimen was <17.89 % (sensitivity 0.94, specificity 0.93). This methodology has proved to be a robust technique to evaluate cilia motility in cell cultures.
持续性呼吸道合胞病毒（RSV）感染与包括慢性阻塞性肺疾病（COPD）在内的慢性炎症性疾病的加重有关。这种病毒感染呼吸道上皮，导致慢性炎症，并诱导粘蛋白释放和纤毛活性丧失，这两个因素决定了粘液清除和痰量增加。在本研究中，建立了一种通过光流计算从细胞培养物中确定纤毛运动活性的自动方法，并将其应用于136个对照培养物和144个RSV感染的培养物。对照组每个视野中具有纤毛运动的细胞表面平均为41±15%（平均值±标准差），而感染组为11±5%，t检验p<0.001。将感染标本分类的临界值为<17.89%（敏感性0.94，特异性0.93）。该方法已被证明是一种评估细胞培养物中纤毛运动的可靠技术。
