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Multi-omics profiling reveals systemic rejuvenation of the aged kidney through senolytic therapy

GSE324746 Mus musculus Expression profiling by high throughput sequencing 3 samples Submitted 2026/07/08 Platform GPL24247
Summary
Cellular senescence is a key driver of kidney aging, leading to functional decline and increased susceptibility to chronic kidney disease. While the senolytic combination of dasatinib and quercetin (D+Q) has shown promise in mitigating age-related pathologies, its long-term effects and underlying multi-level systemic mechanisms in the aging kidney remain poorly defined. Here, we systematically evaluated the long-term effects of D+Q in naturally aged mice using multi-omics approaches. We show that D+Q treatment reduces senescence markers (p16, p21, SA-β-gal), restores the anti-aging protein Klotho, and attenuates renal fibrosis and inflammation. Proteomic profiling reveals that D+Q enhances apoptotic clearance of senescent cells and promotes proliferative and regenerative pathways. Moreover, D+Q reactivates PPARα signaling, improves fatty acid oxidation, and reduces lipid accumulation in aged kidneys. Single-cell transcriptomics further demonstrates that D+Q reverses transcriptional aging signatures across multiple renal cell types and remodels cell-type-specific pathways associated with metabolism, inflammation, and fibrosis. Cell-cell communication analysis reveals that D+Q normalizes the hyperconnected intercellular network in aged kidneys, particularly by modulating inflammation-related signaling. Our findings offer a comprehensive, systems-level understanding of how senolytic therapy restores renal homeostasis, emphasizing its potential as a multifaceted intervention to combat kidney aging.
Published in
Multi-omics profiling reveals systemic rejuvenation of the aged kidney through senolytic therapy
Chen S, Zhang C, Cang P et al. · NPJ Regenerative medicine 2026 · PMID 42386771 · doi:10.1038/s41536-026-00490-x
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Also filed as BioProject PRJNA1436975 and SRA study SRP683379. Searching any of these in the dataset finder brings you back here.

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