Department of Life Sciences, Cattinara University Hospital, Trieste University, Trieste, Italy.
Department of Biology and Biotechnology, "C. Darwin" Sapienza University of Rome, Rome, Italy.
Magn Reson Med. 2018 Apr;79(4):2323-2331. doi: 10.1002/mrm.26876. Epub 2017 Aug 22.
Development of a reliable, simple method to monitor lung condition in cystic fibrosis (CF) patients. Lung functionality assessment in CF patients is relevant, as most of them still die of respiratory failure. In lung mucus (sputum) of CF patients, components such as proteins, biopolymers, DNA, bacteria, and mucin are pathologically increased. As lung functionality is related to the amount of the pathological components in the sputum, their determination can help clinicians in monitoring lung condition and planning therapy.
Low-field NMR was used to evaluate the variation of the relaxation time (T ) of the water hydrogens present in CF sputum in relation to the amounts of the pathological components. Low-field NMR was tested in artificial samples (mucin or alginates), then in conditional sputum (saliva from healthy volunteers, added by different amounts of the pathological components), and finally in 12 patients' sputums, in which T was correlated to a commonly used lung monitoring test (i.e., forced expiratory volume in the first second).
T significantly (P < 0.05) differed between samples with and without pathological components and between healthy and CF patients (P < 0.05), in which T correlated (r = 0.87) with FEV .
The presented method can potentially become a valuable lung-monitoring tool in CF patients. Magn Reson Med 79:2323-2331, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
开发一种可靠、简单的方法来监测囊性纤维化 (CF) 患者的肺部状况。评估 CF 患者的肺功能很重要,因为他们中的大多数人仍然死于呼吸衰竭。在 CF 患者的肺粘液(痰)中,蛋白质、生物聚合物、DNA、细菌和粘蛋白等成分病理性增加。由于肺功能与痰中病理成分的数量有关,因此它们的测定可以帮助临床医生监测肺部状况并制定治疗计划。
低场 NMR 用于评估 CF 痰中氢水的弛豫时间 (T) 随病理成分数量的变化。低场 NMR 在人工样本(粘蛋白或藻酸盐)中进行了测试,然后在条件性痰(来自健康志愿者的唾液,加入不同量的病理成分)中进行了测试,最后在 12 名患者的痰中进行了测试,其中 T 与常用的肺监测测试(即,第一秒用力呼气量)相关联。
T 在有病理成分和无病理成分的样本之间以及健康患者和 CF 患者之间有显著差异(P < 0.05),其中 T 与 FEV 相关(r = 0.87)。
所提出的方法有可能成为 CF 患者肺部监测的有价值工具。磁共振医学 79:2323-2331, 2018。© 2017 国际磁共振学会。