Omics · study · 2026
Multi-omics profiling reveals systemic rejuvenation of the aged kidney through senolytic therapy
Listed in NCBI GEO
Cellular senescence is a key driver of kidney aging, leading to functional decline and increased susceptibility to chronic kidney disease.
Description
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.
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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.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE324nnn/GSE324746 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324746 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1436975 ncbi.nlm.nih.gov/bioproject/PRJNA1436975 ↗
project · from NCBI GEO
- PubMed 42386771 pubmed.ncbi.nlm.nih.gov/42386771 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE324746 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |