Related Experiment Video
Updated: Mar 14, 2026

Modeling Hypoxia/Reoxygenation Injury in Proximal Tubular Epithelial Cells
Published on: November 21, 2025
Shared multicellular injury programs of acute and chronic kidney disease enable mechanistic patient stratification
Robin Fallegger1, Sergio A Gomez-Ochoa2, Charlotte Boys1
1Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany.
Abstract:
Acute kidney injury (AKI) and chronic kidney disease (CKD) are two interconnected clinical conditions, both defined by degree of functional impairment, but with heterogeneous clinical trajectories. Using new transcriptomic technologies, recent studies have described the cellular diversity in the healthy and injured kidney at the single cell level. Here, we used single nucleus transcriptomics to investigate the molecular diversity and commonalities in kidney biopsies from over 150 participants with AKI and CKD enrolled within the Kidney Precision Medicine Project (KPMP) and did so at the patient participant level. Using an unsupervised approach, we identified two multi-cellular programs associated with clinical and histopathological features of acute injury and chronic damage, respectively. We found that these programs are expressed across patients with AKI and CKD, supporting shared, rather than distinct, underlying molecular mechanisms. These programs capture tissue-level compositional changes towards adaptive and failed-repair states in tubular epithelial cells, as well as intra-cellular molecular changes characteristic of stress in all cell types. We identified subunits of the NFkB and AP-1 complexes, as well as members of the STAT family, as putative upstream regulators of the acute and chronic programs. We were able to map these continuous molecular measures of acute injury and chronic damage to urine and plasma protein profiles obtained at time of biopsy. These non-invasive protein signatures were predictive of renal outcomes in an independent cohort of 44 thousand participants from the UK biobank. In summary, unbiased identification of cellular programs in kidney disease biopsies defined molecular programs of injury cutting across conventional disease categorization and established a non-invasive molecular link to long term patient outcomes.
Insights
Acute kidney injury (AKI) and chronic kidney disease (CKD) share molecular mechanisms, revealed by single nucleus transcriptomics. These findings link kidney injury molecular programs to non-invasive protein signatures predicting patient outcomes.
Area of Science:
- Nephrology
- Genomics
- Molecular Biology
Background:
- Acute kidney injury (AKI) and chronic kidney disease (CKD) are distinct yet interconnected conditions with complex clinical trajectories.
- Recent advances in transcriptomics offer insights into kidney cellular diversity in health and disease.
Purpose of the Study:
- To investigate molecular diversity and commonalities in kidney biopsies from AKI and CKD patients using single nucleus transcriptomics.
- To identify shared molecular mechanisms underlying acute and chronic kidney damage.
Main Methods:
- Employed single nucleus transcriptomics on over 150 kidney biopsies from the Kidney Precision Medicine Project (KPMP).
- Utilized unsupervised approaches to identify multi-cellular programs associated with acute injury and chronic damage.
- Mapped molecular programs to urinary and plasma protein profiles and validated in the UK Biobank.
Main Results:
- Identified two distinct multi-cellular programs linked to acute injury and chronic damage, expressed across both AKI and CKD patients.
- Revealed shared molecular mechanisms rather than distinct pathways for AKI and CKD.
- Discovered that these molecular programs reflect tubular epithelial cell repair states and cellular stress.
- Identified NFkB, AP-1, and STAT family members as potential upstream regulators.
- Established a link between molecular injury signatures and non-invasive protein profiles predictive of renal outcomes.
Conclusions:
- Unbiased identification of cellular programs in kidney disease provides a unified view of injury mechanisms across AKI and CKD.
- Non-invasive protein signatures derived from molecular data can predict long-term renal outcomes.
- This research advances precision medicine by linking molecular insights to clinical trajectories and patient outcomes.
Related Concept Videos
Acute Kidney Injury II: Pathophysiology
Acute Kidney Injury I: Introduction
Acute Kidney Injury V: Interprofessional Care
Acute Kidney Injury III: Clinical Manifestations
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Chronic Kidney Disease I: Introduction

