ArticleFrontiers in endocrinology2023
Proteomic analysis of urinary extracellular vesicles highlights specific signatures for patients with primary aldosteronism.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Advances in multivariate analysis of extracellular vesicles using visible light-based analytical methods.Nanoscale · 2026Review
- Emerging methods for subtype differentiation in primary aldosteronism.Journal of internal medicine · 2026Review
- Urinary extracellular vesicle proteins for biomarker discovery in chronic kidney disease.Kidney research and clinical practice · 2026Article
- Identification and experimental validation of copper metabolism-related genes in cervical cancer.Medicine · 2025Article
- Article
- Single urinary extracellular vesicle proteomics identifies complement receptor CD35 as a biomarker for sepsis-associated acute kidney injury.Nature communications · 2025Article
- Advances in the biochemical diagnostics of primary aldosteronism: from immunoassays to steroidomics and proteomics.Frontiers in endocrinology · 2025Review
- Exploring the Potential of Exosomes as Biomarkers in Tuberculosis and Other Diseases.International journal of molecular sciences · 2024Review
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Authors and funding
15 authors.
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Abstract
Background: Urinary extracellular vesicles (uEVs) can be released by different cell types facing the urogenital tract and are involved in cellular trafficking, differentiation and survival. UEVs can be easily detected in urine and provide pathophysiological information " Methods: Patients with essential hypertension (EH) and PA were enrolled in the study (EH= 12, PA=24: 11 Bilateral Primary Aldosteronism subtype (BPA) and 13 Aldosterone Producing Adenoma (APA)). Clinical and biochemical parameters were available for all the subjects. UEVs were isolated from urine by ultracentrifugation and analysed by Transmission Electron Microscopy (TEM) and nanotrack particle analysis (NTA). UEVs protein content was investigated through an untargeted MS-based approach. Statistical and network analysis was performed to identify potential candidates for the identification and classification of PA. Results: MS analysis provided more than 300 protein identifications. Exosomal markers CD9 and CD63 were detected in all samples. Several molecules characterizing EH Conclusion: Through this proteomic approach, we identified uEVs molecular indicators that can improve PA characterization and help in the gain of insights of the pathophysiological features of this disease. In particular, PA was characterized by a reduction of AQP1 and AQP2 expression as compared with EH.
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