A cross-species single-cell kidney epigenome atlas reveals epithelial-dominant aging-like states in disease

Epigenetic aging is a hallmark of chronic diseases. While such epigenetic changes can arise following tissue injury, the cell types most affected remain largely unknown. Here we built a cross-species single-cell multiomics atlas of DNA methylation, chromatin accessibility and transcription profiles from healthy, injured (human) and aged (mouse) kidneys. We found that tubular epithelial cells in diseased kidneys exhibit pronounced accelerated epigenetic aging and showed that this pathological state mirrors transcriptional trajectories observed during aging, driven by preferential dysregulation of lineage-specific genes lacking CpG islands. Spatially, these epigenetic changes mapped to pathological niches of unresolved repair. Co-profiling single-cell DNA methylation and 3D genome architecture revealed that epithelial repair states in disease undergo significant higher-order genome reorganizations, alongside activation of genes associated with renal decline. Together, our findings characterize a loss of epigenetic repression within coordinated three-dimensional chromatin structures and reduced local methylome integrity, which compromises epithelial cell identity during aging and impedes repair. Jeong, Lake and colleagues map changes in the human and mouse kidney DNA methylomes at single-cell resolution across disease and aging, respectively. They identify disease-associated epithelial states with epigenetic age acceleration, altered DNA methylation and chromatin compartments and spatially localized repair programs.

Authors

Institutions

Publication Details

Journal
Nature Aging
Published
2026-09-24
DOI
https://doi.org/10.1038/s43587-026-01221-z
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

A cross-species single-cell kidney epigenome atlas reveals epithelial-dominant aging-like states in disease

Madhurima Kaushal, Hyeonsoo Jeong, Debora L. Gisch, Blue B. Lake et al.
Nature Aging
Epigenetics and DNA Methylation
article

A cross-species single-cell kidney epigenome atlas reveals epithelial-dominant aging-like states in disease

Madhurima Kaushal, Hyeonsoo Jeong, Debora L. Gisch, Blue B. Lake, Xuwen Li, Michael T. Eadon, Sanjay R. Jain, Kun Zhang, DINH Van Diep, Stephanie Reinert, Joseph P. Gaut, Qi Yan
article en

Abstract

Epigenetic aging is a hallmark of chronic diseases. While such epigenetic changes can arise following tissue injury, the cell types most affected remain largely unknown. Here we built a cross-species single-cell multiomics atlas of DNA methylation, chromatin accessibility and transcription profiles from healthy, injured (human) and aged (mouse) kidneys. We found that tubular epithelial cells in diseased kidneys exhibit pronounced accelerated epigenetic aging and showed that this pathological state mirrors transcriptional trajectories observed during aging, driven by preferential dysregulation of lineage-specific genes lacking CpG islands. Spatially, these epigenetic changes mapped to pathological niches of unresolved repair. Co-profiling single-cell DNA methylation and 3D genome architecture revealed that epithelial repair states in disease undergo significant higher-order genome reorganizations, alongside activation of genes associated with renal decline. Together, our findings characterize a loss of epigenetic repression within coordinated three-dimensional chromatin structures and reduced local methylome integrity, which compromises epithelial cell identity during aging and impedes repair. Jeong, Lake and colleagues map changes in the human and mouse kidney DNA methylomes at single-cell resolution across disease and aging, respectively. They identify disease-associated epithelial states with epigenetic age acceleration, altered DNA methylation and chromatin compartments and spatially localized repair programs.

Nature Aging
Fleet Science Center (US), Washington University in St. Louis (US), Gwangju Institute of Science and Technology (KR), Altos Labs, Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 19%
Epigenetics and DNA Methylation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.