Evidence map›Paper›PMID 40850620›Full record

ArticleKidney international2025

Super-resolved optical imaging, reconstruction, and spatial analysis of whole mouse glomeruli via the Glomerulus Mapping and Analysis Pipeline.

Adilijiang Ali, Zixuan Liu, Kenan Ye, Yun Guan, Siying Chen, Tingxuan Liu, Ziyu Guo, Madeline K Wong, Pedro Vasquez, Chetan Poudel and 6 more

Abstract read
In one paragraph

Article in Kidney international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Adilijiang AliDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Zixuan LiuPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Kenan YePaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Yun GuanDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Siying ChenDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Tingxuan LiuDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Ziyu GuoDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Madeline K WongDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Pedro VasquezDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Chetan PoudelDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Benjamin C MustonenDepartment of Chemistry, University of Washington, Seattle, Washington, USA.
Diana G EngDivision of Nephrology, University of Washington, Seattle, Washington, USA.
Jeffrey W PippinDivision of Nephrology, University of Washington, Seattle, Washington, USA.
Stuart J ShanklandDivision of Nephrology, University of Washington, Seattle, Washington, USA.
Sheng WangPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Joshua C VaughanDepartment of Chemistry, University of Washington, Seattle, Washington, USA; Department of Neurobiology and Biophysics, University of Washington, Seattle, Washington, USA. Electronic address: jcv2@uw.edu.

Funding

Coordinating Unit for the Innovative Science Accelerator ProgramU24DK128851 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2021 to 2025
$6.7M
Juxta-glomerular cells serve as glomerular epithelial cell progenitors in glomerular diseaseR01DK097598 · NIDDK · UNIVERSITY OF WASHINGTON · PI SHANKLAND, STUART JAMES, WESSELY, OLIVER · 2014 to 2022
$5.2M
Resource Development CoreU54DK137328 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI KENNETH W DUNN · 2023 to 2026
$4.5M
Cell specific delivery of novel therapies to enhance glomerular regeneration and repairUC2DK126006 · NIDDK · UNIVERSITY OF WASHINGTON · PI SHANKLAND, STUART JAMES · 2020 to 2024
$4.0M
CELL CYCLE PROTEINS AND GLOMERULAR APOPTOSISR01DK056799 · NIDDK · UNIVERSITY OF WASHINGTON · PI SHANKLAND, STUART JAMES · 2000 to 2014
$3.6M
Targeting Podocyte-Endothelial Cell Crosstalk as a FSGS TherapyR01DK135716 · NIDDK · UNIVERSITY OF WASHINGTON · PI Stuart James Shankland, Oliver Wessely · 2023 to 2026
$2.9M
in situ Epigenetic Profiling of Single Cells in Kidney - Kim Diversity Supplement 2023R21DK136026 · NIDDK · UNIVERSITY OF WASHINGTON · PI VAUGHAN, JOSHUA · 2023 to 2024
$559k
Investigating the Impact of Epigenetic Heterogeneity on HematopoiesisF31HL168825 · NHLBI · UNIVERSITY OF WASHINGTON · PI Madeline Wong · 2024 to 2026
$149k
NHLBI NIH HHS F31 HL168825NIDDK NIH HHS R01 DK056799NIDDK NIH HHS R01 DK097598NIDDK NIH HHS R01 DK135716NIDDK NIH HHS R21 DK136026NIDDK NIH HHS U24 DK128851NIDDK NIH HHS U54 DK137328NIDDK NIH HHS UC2 DK126006
6 · The paper itself

Abstract

introductionKidney 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 restricts 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.

methodsWe 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.

resultsUsing 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.

conclusionsThe 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.

Indexed as

Imaging, Three-DimensionalKidney GlomerulusOptical ImagingAnimalsDisease Models, AnimalMachine LearningMaleMiceMice, Inbred C57BL3D reconstructionglobal basement membrane analysisglomerular cell morphometryglomerulussuper-resolution imaging

Identifiers

PMID40850620
PMCPMC12866935

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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 OpenQuestion graph.