Omics · study · 2026
Dysfunctional Mesenchymal Stem Cell-derived Extracellular Vesicles in Chronic Kidney Disease: A Role in Vascular Calcification
Listed in NCBI GEO
Description
Background
Vascular calcification (VC) is a severe complication of chronic kidney disease (CKD) and increases cardiovascular morbidity and mortality. Extracellular vesicles (EVs) from bone mesenchymal stem cells (BMSCs) may influence vascular health through intercellular communication. This study investigated how CKD alters the anti-calcific function of BMSC-derived EVs, focusing on microRNA content, particularly miR-29a-3p.
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Methods
EVs were isolated from healthy and CKD-affected BMSCs and assessed for size, uptake by vascular smooth muscle cells (VSMCs), and miRNA content. High-phosphate-treated VSMCs and CKD rat models of vascular calcification were used to evaluate the effects of EVs on VC. Circulating miR-29a-3p was measured in hemodialysis patients and correlated with VC severity.
Results: EVs from both groups showed comparable size and VSMC uptake. However, CKD-derived EVs had an altered miRNA profile, including markedly reduced miR-29a-3p, and showed diminished ability to inhibit phosphate-induced calcification. Restoration of miR-29a-3p suppressed calcification in vitro and in vivo.
In hemodialysis patients, circulating miR-29a-3p was inversely associated with calcification severity. Conclusions: CKD impairs the anti-calcific function of BMSC-derived EVs partly through downregulation of EV-associated miR-29a-3p. Restoring miR-29a-3p may help mitigate VC in CKD, and circulating miR-29a-3p may serve as a clinical biomarker.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE301nnn/GSE301484 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301484 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1285322 ncbi.nlm.nih.gov/bioproject/PRJNA1285322 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Disease 75%
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE301484 | 15 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 |
| 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 |