Multimodal spatial transcriptomic characterization of mouse kidney injury and repair

Qiao Xuanyuan1, Haojia Wu1, Hemalatha Sundaramoorthi1

  • 1Division of Nephrology, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.

Nature Communications
|August 15, 2025
PubMed

Insights

Researchers mapped kidney cells during injury and repair using spatial transcriptomics. They identified a fibro-inflammatory niche linked to chronic kidney disease progression, revealing key molecular drivers.

Area of Science:

  • Renal biology
  • Spatial transcriptomics
  • Cellular and molecular pathology

Background:

  • Acute kidney injury (AKI) can progress to chronic kidney disease (CKD).
  • Understanding cellular and molecular changes during kidney repair is crucial for therapeutic development.

Purpose of the Study:

  • To define cellular composition and molecular interactions in the kidney during injury and repair.
  • To establish a multimodal spatial analytical framework for kidney research.

Main Methods:

  • Analysis of over one million cells from 12 male mouse kidneys across six injury/repair stages.
  • Utilized Xenium and whole transcriptome Visium spatial transcriptomics platforms.
  • Multimodal spatial analysis to delineate cellular neighborhoods.

Main Results:

  • Defined and validated 20 major kidney cell populations and distinct cellular neighborhoods.
  • Identified a specific fibro-inflammatory niche containing failed-repair proximal tubule cells, fibroblasts, and immune cells.
  • Revealed conserved neighborhood gene signatures in mouse and human, predicting Runx2, PDGF, and integrin beta-2 signaling pathways as key regulators.

Conclusions:

  • The study provides deep insights into kidney injury and repair dynamics.
  • A comprehensive multimodal analytical framework for spatial omics studies was established.
  • Identified a specific fibro-inflammatory niche and its molecular drivers in kidney disease progression.

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