Evidence map›Paper›PMID 41988720›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Glomage: A Multimodal Platform for High-Content Morphological and RNA Profiling of Glomeruli in Zebrafish and Mouse Models.

Maximilian Schindler, Tim Lange, Sophia-Marie Bach, Soeren S Lienkamp, Nicole Endlich

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

5 authors.

Maximilian SchindlerDepartment of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0001-8549-510X
Tim LangeDepartment of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0002-0716-7845
Sophia-Marie BachDepartment of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.
Soeren S LienkampInstitute of Anatomy, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2963-6865
Nicole EndlichDepartment of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany.ORCID https://orcid.org/0000-0001-6817-4099

Funding

Federal Ministry for Economic Affairs and Climate Action 16KN077229Federal Ministry of Education and Research 01GM2202BFederal Ministry of Education and Research STOP-FSGSFVMM (Forschungsverbund Molekulare Medizin) of the University Medicine GreifswaldSwiss National Science Foundation 310030_236370Theiler-Haag Foundation
6 · The paper itself

Abstract

Chronic kidney disease affects more than 850 million people worldwide, yet effective treatment strategies remain limited. The glomerulus is the central filtering unit of the kidney and critically depends on the complex 3D architecture of podocytes. As terminally differentiated and essentially non-regenerative cells, podocytes are highly vulnerable to injury, and their loss is an irreversible factor in kidney function decline. However, their complex morphology has prevented scalable analysis and slowed progress in drug discovery. To overcome these limitations, Glomage was developed as a cross-species high-throughput platform for scalable 3D analysis of glomeruli. In zebrafish larvae, the workflow enables simultaneous isolation, staining, volumetric imaging, and RNA extraction of hundreds of glomeruli. By preserving spatial architecture, the protocol supports rapid, reproducible quantification of podocyte number and structure, enabling systematic assessment of cellular phenotypes at an unprecedented scale. To extend translational relevance, the workflow was adapted to isolated mouse glomeruli, enabling rapid 3D imaging and sensitive detection of key pathological features such as age-related podocyte depletion. Compatibility across species underscores the robustness, versatility, and broad applicability of the platform. Overall, Glomage creates a powerful high-content framework for glomerular profiling, accelerates mechanistic studies of podocyte biology, and supports the discovery of urgently needed therapeutic interventions.

Indexed as

Kidney GlomerulusPodocytesRNAAnimalsDisease Models, AnimalImaging, Three-DimensionalMiceZebrafishRNAglomerulushigh‐content applicationsimagingkidneypodocytes

Identifiers

PMID41988720
PMCPMC13326040

What Socratic holds

Textmetadata
LicenceCC BY
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.