Mayhew T M
Centre for Integrated Systems Biology and Medicine, School of Biomedical Sciences, University of Nottingham, Nottingham NG7 2UH, UK.
Placenta. 2008 Jan;29(1):1-14. doi: 10.1016/j.placenta.2007.05.010. Epub 2007 Jul 23.
Tissue samples are removed from placentas for a variety of reasons associated with a host of investigative techniques, including chorionic villus sampling, villus explant culture, cell culture, proteomic analysis, gene expression profiling, microscopy and morphometry. Apart from the latter, especially stereological analysis, many studies provide extremely limited information on how the samples were selected. At worst, we learn little more than the placenta was sampled. Sometimes, studies provide sufficient detail to reveal flaws in sampling, e.g. the selection of placentomes based on size rather than mere presence. Occasionally, the reader is informed, without further explanation, that representative samples were taken or that samples from placentas in different study groups were taken from standard or similar sites. Such statements raise doubts about the unbiasedness of the sampling process, leave the reader in ignorance of the quality of the final sample, thwart attempts at achieving study repeatability and compromise interpretations of the validity of study outcomes. And yet study outcomes depend critically on the selection process because sampling influences study errors, notably precision (random error) and bias (systematic error). This article aims to review the basic principles and virtues of random sampling in general and the practical utilities of variants of it. For many functional and structural studies, it suffices to randomise the positions of tissue samples but, in certain structural studies, orientation must also be randomised. Therefore, sampling tools for stereological estimation of membrane surface areas, tubule lengths and layer thicknesses are mentioned. Although emphasis is accorded to the placenta, the principles apply equally well to other organs and to lower levels of organisation including the subcellular. It is hoped that this review will inform future study designs, encourage greater transparency and facilitate sampling improvements.
出于与一系列研究技术相关的各种原因,会从胎盘中获取组织样本,这些技术包括绒毛取样、绒毛外植体培养、细胞培养、蛋白质组分析、基因表达谱分析、显微镜检查和形态测量。除了后者,尤其是体视学分析,许多研究提供的关于样本如何选择的信息极其有限。最糟糕的是,我们所了解的不过是胎盘被取样了。有时,研究提供了足够的细节以揭示取样中的缺陷,例如根据大小而非仅仅是存在来选择胎盘小叶。偶尔,读者会被告知已采集了代表性样本,或者不同研究组胎盘的样本取自标准或相似部位,但没有进一步解释。这些说法引发了对取样过程无偏性的质疑,使读者对最终样本的质量一无所知,阻碍了实现研究可重复性的努力,并损害了对研究结果有效性的解释。然而,研究结果严重依赖于选择过程,因为取样会影响研究误差,特别是精密度(随机误差)和偏倚(系统误差)。本文旨在综述一般随机抽样的基本原理和优点以及其变体的实际效用。对于许多功能和结构研究而言,随机确定组织样本的位置就足够了,但在某些结构研究中,方向也必须随机化。因此,文中提到了用于体视学估计膜表面积、小管长度和层厚度的取样工具。尽管重点是胎盘,但这些原则同样适用于其他器官以及包括亚细胞水平在内的更低组织层次。希望这篇综述能为未来的研究设计提供参考,鼓励更高的透明度,并促进取样的改进。