Omics · study · 2026
Single-cell transcriptomics identifies ergothioneine as a mitochondrial protector to prevent AKI-to-CKD progression
Listed in NCBI GEO
This study investigates the role and mechanism of ergothioneine (EGT) in mitigating the progression of acute kidney injury (AKI) to chronic kidney disease (CKD).
Description
Using a cisplatin-induced mouse model of the AKI-to-CKD transition with EGT intervention, we combined histopathological examination, biochemical assays, and single-cell RNA sequencing (scRNA-seq) to demonstrate that EGT may significantly improve renal function parameters and attenuate renal injury and fibrosis. scRNA-seq analysis revealed that EGT may restore the expression of mitochondrial function-related genes in renal tubular epithelial cells, enhance oxidative phosphorylation and electron transport chain activity, thereby potentially promoting mitochondrial homeostasis.
Furthermore, our in vitro experiments confirmed the protective effects of EGT on mitochondria in injured renal tubular epithelial cells, including reducing reactive oxygen species (ROS) generation, restoring diminished mitochondrial membrane potential, and increasing ATP production. These findings elucidate a mechanism by which EGT might delay AKI-to-CKD progression through multi-cellular coordination aimed at improving mitochondrial function, offering a promising therapeutic strategy for kidney diseases.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE329nnn/GSE329941 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE329941 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1462235 ncbi.nlm.nih.gov/bioproject/PRJNA1462235 ↗
project · from NCBI GEO
- PubMed 42335181 pubmed.ncbi.nlm.nih.gov/42335181 ↗
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% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE329941 | 12 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[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |