Ali Adilijiang, Liu Zixuan, Ye Kenan, Guan Yun, Chen Siying, Liu Tingxuan, Guo Ziyu, Wong Madeline K, Vasquez Pedro, Poudel Chetan, Mustonen Benjamin C, Eng Diana G, Pippin Jeffrey W, Shankland Stuart J, Wang Sheng, Vaughan Joshua C
Department of Chemistry, University of Washington, Seattle, Washington, USA.
Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Kidney Int. 2025 Aug 22. doi: 10.1016/j.kint.2025.07.024.
Kidney glomeruli have traditionally been studied by micrometer-scale optical microscopy to interrogate overall physiology or molecular distributions and by nanoscale electron microscopy to interrogate ultrastructure. However, these techniques are limited by their focus on thin sections and specific regions. This rests their capacity to evaluate whole glomeruli as holistic 3D functional units. We lack a unified, spatially integrated view of the glomerulus as a whole system to better understand structural and cellular changes across different conditions.
We developed GloMAP (Glomerulus Mapping and Analysis Pipeline), a novel workflow that integrates tissue expansion, super-resolution optical microscopy, and computational reconstruction to generate high-resolution (about 100 nm) 3D models of entire mouse glomeruli. GloMAP integrates both manual and machine learning-assisted segmentation to precisely annotate and quantify glomerular structures, including compartmental volumes, surface areas, membrane thickness distribution, and cellular morphometric properties.
Using GloMAP, we reconstructed and analyzed 24 glomeruli from healthy adult, aged, and model diseased mice. Our method enabled volumetric and spatial quantification of key compartments and distributions of four primary glomerular cell types. GloMAP revealed previously inaccessible features such as global membrane thickening patterns and compartmental shifts associated with aging and focal segmental glomerular sclerosis.
The pipeline's compatibility with commonly available optical microscopes and its potential to integrate molecular labeling and other super-resolution techniques make it a scalable and versatile tool. GloMAP provides a scalable, accessible platform for comprehensive 3D structural and cellular analysis of whole glomeruli at 100 nm resolution. This integrative pipeline fills a critical gap between traditional light and electron microscopy and holds potential for broader application in translational nephrology research, offering new opportunities to identify structural biomarkers and pathophysiological mechanisms in kidney disease.
传统上,肾小体的研究采用微米级光学显微镜来探究整体生理学或分子分布,以及纳米级电子显微镜来探究超微结构。然而,这些技术局限于关注薄切片和特定区域。这限制了它们将整个肾小体评估为整体三维功能单元的能力。我们缺乏对肾小体作为一个整体系统的统一、空间整合视图,以更好地理解不同条件下的结构和细胞变化。
我们开发了GloMAP(肾小球映射与分析管道),这是一种新颖的工作流程,它整合了组织扩张、超分辨率光学显微镜和计算重建,以生成整个小鼠肾小体的高分辨率(约100纳米)三维模型。GloMAP整合了手动和机器学习辅助分割,以精确注释和量化肾小球结构,包括隔室体积、表面积、膜厚度分布和细胞形态计量学特性。
使用GloMAP,我们重建并分析了来自健康成年、老年和模型患病小鼠的24个肾小体。我们的方法能够对四种主要肾小球细胞类型的关键隔室和分布进行体积和空间量化。GloMAP揭示了以前无法获取的特征,如与衰老和局灶节段性肾小球硬化相关的整体膜增厚模式和隔室移位。
该管道与常用光学显微镜的兼容性及其整合分子标记和其他超分辨率技术的潜力使其成为一种可扩展且通用的工具。GloMAP为在100纳米分辨率下对整个肾小体进行全面的三维结构和细胞分析提供了一个可扩展、可访问的平台。这种整合管道填补了传统光学显微镜和电子显微镜之间的关键空白,并在转化肾脏病学研究中具有更广泛应用的潜力,为识别肾脏疾病中的结构生物标志物和病理生理机制提供了新机会。