Bates Jason H T, Irvin Charles G
Vermont Lung Center and College of Medicine, University of Vermont, Burlington, Vermont 05405, USA.
J Appl Physiol (1985). 2003 Apr;94(4):1297-306. doi: 10.1152/japplphysiol.00706.2002.
Measuring lung function in mice is essential for establishing the relevance of murine models to human lung disease. However, making such measurements presents particular technical challenges due to the small size of the animal, particularly with regard to the measurement of respiratory flows. In this review, we examine the various methods currently available for assessment of lung function in mice and contrast them in terms of a concept we call the phenotyping uncertainty principle; each method can be considered to lie somewhere along a continuum on which noninvasiveness must be traded off against experimental control and measurement precision. Unrestrained plethysmography in conscious mice represents the extreme of noninvasiveness and is highly convenient but provides respiratory measures that are so tenuously linked to respiratory mechanics that they cannot be considered as meaningful indicators of lung function. At the other extreme, the measurement of input impedance in anesthetized, paralyzed, tracheostomized mice is precise and specific but requires that an animal be studied under conditions far from natural. In between these two extremes lie methods that sacrifice some precision for a reduction in the level of invasiveness, a promising example being the measurement of transfer impedance in conscious, restrained mice. No method is optimal in all regards; therefore, the appropriate technique to use depends on the application.
测量小鼠的肺功能对于确定鼠类模型与人类肺部疾病的相关性至关重要。然而,由于动物体型小,尤其是在测量呼吸流量方面,进行此类测量存在特殊的技术挑战。在本综述中,我们研究了目前可用于评估小鼠肺功能的各种方法,并根据我们称之为表型不确定性原理的概念对它们进行了对比;每种方法都可以被认为处于一个连续统一体上的某个位置,在这个连续统一体上,非侵入性必须与实验控制和测量精度进行权衡。清醒小鼠的无限制体积描记法代表了非侵入性的极端情况,非常方便,但提供的呼吸测量结果与呼吸力学的联系非常微弱,以至于不能被视为有意义的肺功能指标。在另一个极端,在麻醉、麻痹、气管切开的小鼠中测量输入阻抗是精确且特异的,但需要在远离自然的条件下研究动物。在这两个极端之间存在一些方法,它们为了降低侵入性水平而牺牲了一些精度,一个有前景的例子是在清醒、受限的小鼠中测量转移阻抗。没有一种方法在所有方面都是最优的;因此,使用的合适技术取决于应用。