In-depth 3D exploration of autosomal dominant polycystic kidney disease through light sheet fluorescence microscopy

  • Pablo Delgado-Rodriguez
  • , Itsaso Vitoria
  • , Gonzalo R. Ríos-Muñoz
  • , Lídia Bardia
  • , Nicolás Lamanna-Rama
  • , Laura Nicolas-Saenz
  • , Jon Sporring
  • , María L. Soto-Montenegro
  • , Rafael Aldabe
  • , Julien Colombelli
  • , Arrate Muñoz-Barrutia*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most prevalent genetic kidney disorder. Animal preclinical studies are one of the main tools to study this disease, often through either 2D histology imaging for high-resolution analysis or CT or MRI for full kidney segmentation. As an alternative to these modalities, we propose the use of Light Sheet Fluorescence Microscopy (LSFM) for high-resolution 3D imaging of healthy and ADPKD-induced mouse kidneys, enabling a detailed volumetric morphological analysis of the disease’s effects. In a mouse ADPKD model, ex vivo imaging of the kidneys was performed through LSFM, after which a combination of machine learning and other processing techniques allowed us to perform an in-depth image analysis. This includes the segmentation of key structures, such as the full kidney volume and, within it, its internal cavities, cortex, glomeruli, and cysts, complemented by texture analysis of tubular structures in the cortical area. Pathological kidneys exhibited significant volume enlargement and increased internal cavities due to cystogenesis. While glomerular count remained stable, their spatial distribution was altered, showing increased interglomerular distances and showcasing the deformations produced by the disease. The texture analysis of tubules from the cortex region identified Local Binary Pattern (LBP) uniformity and porosity as key biomarkers of tissue deformation, which could be used as markers to further evaluate the development of the disease. These findings underscore the potential of LSFM imaging as a powerful tool for detailed ADPKD characterization and treatment assessment.

Original languageEnglish
Article number40843
JournalScientific Reports
Volume15
Issue number1
DOIs
Publication statusPublished - Dec 2025
Externally publishedYes

Keywords

  • ADPKD
  • LSFM
  • Segmentation
  • Texture analysis

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