George M. O'Brien Center for Benign Urologic Research, University of Wisconsin-Madison, Wisconsin, and University of Massachusetts Boston, Massachusetts.
Molecular and Environmental Toxicology Center, University of Wisconsin-Madison , Madison, Wisconsin.
Am J Physiol Renal Physiol. 2018 Oct 1;315(4):F1067-F1080. doi: 10.1152/ajprenal.00245.2018. Epub 2018 Jul 4.
Mouse urinary behavior is quantifiable and is used to pinpoint mechanisms of voiding dysfunction and evaluate potential human therapies. Approaches to evaluate mouse urinary function vary widely among laboratories, however, complicating cross-study comparisons. Here, we describe development and multi-institutional validation of a new tool for objective, consistent, and rapid analysis of mouse void spot assay (VSA) data. Void Whizzard is a freely available software plugin for FIJI (a distribution of ImageJ) that facilitates VSA image batch processing and data extraction. We describe its features, demonstrate them by evaluating how specific VSA method parameters influence voiding behavior, and establish Void Whizzard as an expedited method for VSA analysis. This study includes control and obese diabetic mice as models of urinary dysfunction to increase rigor and ensure relevance across distinct voiding patterns. In particular, we show that Void Whizzard is an effective tool for quantifying nonconcentric overlapping void spots, which commonly confound analyses. We also show that mouse genetics are consistently more influential than assay design parameters when it comes to VSA outcomes. None of the following procedural modifications to reduce overlapping spots masked these genetic-related differences: reduction of VSA testing duration, water access during the assay period, placement of a wire mesh cage bottom on top of or elevated over the filter paper, treatment of mesh with a hydrophobic spray, and size of wire mesh opening. The Void Whizzard software and rigorous validation of VSA methodological parameters described here advance the goal of standardizing mouse urinary phenotyping for comprehensive urinary phenome analyses.
小鼠的排尿行为是可量化的,可用于确定排尿功能障碍的机制,并评估潜在的人类治疗方法。然而,不同实验室评估小鼠排尿功能的方法差异很大,这使得跨研究比较变得复杂。在这里,我们描述了一种新工具的开发和多机构验证,用于客观、一致和快速分析小鼠排尿点分析(VSA)数据。Void Whizzard 是一个免费的 FIJI(ImageJ 的一个分发版)插件,用于促进 VSA 图像批量处理和数据提取。我们描述了它的功能,通过评估特定的 VSA 方法参数如何影响排尿行为来演示它们,并将 Void Whizzard 确立为 VSA 分析的一种加速方法。本研究包括控制和肥胖型糖尿病小鼠作为排尿功能障碍的模型,以增加严谨性并确保在不同的排尿模式下具有相关性。特别是,我们表明 Void Whizzard 是一种有效工具,可用于量化常见的分析混淆的非同心重叠排尿点。我们还表明,在 VSA 结果方面,小鼠遗传学比检测设计参数更具影响力。以下程序修改均不能减少重叠点,从而掩盖这些与遗传相关的差异:减少 VSA 测试持续时间、在检测期间提供水、在滤纸上方或上方放置铁丝网笼底、对网眼进行疏水处理以及调整网眼的开口大小。这里描述的 Void Whizzard 软件和 VSA 方法学参数的严格验证,推进了标准化小鼠尿表型分析以进行全面尿表型分析的目标。