Evidence map›Paper›PMID 40813851›Full record

ArticleNature communications2025

Multimodal spatial transcriptomic characterization of mouse kidney injury and repair.

Qiao Xuanyuan, Haojia Wu, Hemalatha Sundaramoorthi, Pierre Isnard, Changfeng Chen, Waleed Rahmani, Benjamin D Humphreys

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. The GPX3-VCAM1 Axis Gates Pro-Fibrotic Tubule Cell Fate in Hyperuricemic Nephropathy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

7 authors.

Qiao XuanyuanDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-1629-5969
Haojia WuDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-7866-2544
Hemalatha SundaramoorthiDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Pierre IsnardDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-1880-7596
Changfeng ChenDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-7020-8400
Waleed RahmaniDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
Benjamin D HumphreysDivision of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA. humphreysbd@wustl.edu.ORCID http://orcid.org/0000-0002-6420-8703

Funding

Washington University Chronic KidneyDisease National Resource CenterU54DK137332 · NIDDK · WASHINGTON UNIVERSITY · PI BENJAMIN D. HUMPHREYS · 2023 to 2026
$4.5M
Understanding Myofibroblast Progenitor Fate and Function in Renal FibrosisR01DK103740 · NIDDK · WASHINGTON UNIVERSITY · PI BENJAMIN D. HUMPHREYS · 2015 to 2026
$3.9M
Single-cell analysis to promote kidney repairUC2DK126024 · NIDDK · WASHINGTON UNIVERSITY · PI HUMPHREYS, BENJAMIN D., KIM, JUNHYONG · 2020 to 2024
$3.7M
NIDDK NIH HHS R01 DK103740NIDDK NIH HHS U54 DK137332NIDDK NIH HHS UC2 DK126024
6 · The paper itself

Abstract

The transition from acute kidney injury to chronic kidney disease is characterized by significant changes in the cellular composition and molecular interactions within the kidney. Utilizing high-resolution Xenium and whole transcriptome Visium spatial transcriptomics platforms, we analyze over a million cells on 12 male mouse kidneys across six stages of renal injury and repair. We define and validate 20 major kidney cell populations and delineate distinct cellular neighborhoods through this multimodal spatial analysis. We further reveal a specific fibro-inflammatory niche enriched in failed-repair proximal tubule cells, fibroblasts, and immune cells, with conserved neighborhood gene signatures across mouse and human. Within this niche, we predict Runx2 as a key upstream regulator, along with platelet-derived growth factor and integrin beta-2 signaling pathways shaping the fibrogenic microenvironment. Altogether, our study provides deep insights into the cellular and molecular dynamics during kidney injury and repair and establishes a comprehensive multimodal analytical framework applicable to other spatial omics studies.

Indexed as

Acute Kidney InjuryKidneyRenal Insufficiency, ChronicTranscriptomeAnimalsDisease Models, AnimalFibroblastsGene Expression ProfilingHumansKidney Tubules, ProximalMaleMiceMice, Inbred C57BLSignal Transduction

Identifiers

PMID40813851
PMCPMC12354736

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.