Evidence mapPaperPMID 41258212Full record

ArticleScientific reports2025

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 and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Pablo Delgado-RodriguezBioengineering Department, Universidad Carlos III de Madrid (UC3M), Leganes, Spain.
Itsaso VitoriaBioengineering Department, Universidad Carlos III de Madrid (UC3M), Leganes, Spain.
Gonzalo R Ríos-MuñozBioengineering Department, Universidad Carlos III de Madrid (UC3M), Leganes, Spain.
Lídia BardiaAdvanced Digital Microscopy, Institute for Research in Bioimedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Nicolás Lamanna-RamaInstituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Laura Nicolas-SaenzInstitute for Genetics and Cancer, University of Edinburgh (UoE), Edinburgh, UK.
Jon SporringComputer Science Department, Københavns Universitet (KU), Copenhagen, Denmark.
María L Soto-MontenegroInstituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain.
Rafael AldabeCentro de Investigación Médica Aplicada (CIMA), Universidad de Navarra (UNAV), Pamplona, Spain.
Julien ColombelliAdvanced Digital Microscopy, Institute for Research in Bioimedicine (IRB Barcelona), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Arrate Muñoz-BarrutiaBioengineering Department, Universidad Carlos III de Madrid (UC3M), Leganes, Spain. mamunozb@ing.uc3m.es.

Funding

CIBER de Salud Mental - Instituto de Salud Carlos III CB07/09/0031Delegación del Gobierno para el Plan Nacional sobre Drogas 2024I090Delegación del Gobierno para el Plan Nacional sobre Drogas correspondiente a fondos del Mecanismo de Recuperación, Transformación y Resiliencia de la Unión Europea EXP2022/008917Departamento de Desarrollo Económico del Gobierno de Navarra 0011-1411- 2019-000074Ministerio de Ciencia, Innovación y Universidades FPU19/02854Ministerio de Ciencia, Innovación y Universidades PID2023-152631OB-I00Ministerio de Ciencia, Innovación y Universidades, Spain PID2021-128862OB-I00
6 · The paper itself

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.

Indexed as

Imaging, Three-DimensionalKidneyPolycystic Kidney, Autosomal DominantAnimalsDisease Models, AnimalMaleMiceMicroscopy, FluorescenceADPKDLSFMSegmentationTexture analysis

Identifiers

PMID41258212
PMCPMC12630910

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.