4.5 Article

Proteomic profiling of peritoneal dialysis effluent-derived extracellular vesicles: a longitudinal study

期刊

JOURNAL OF NEPHROLOGY
卷 32, 期 6, 页码 1021-1031

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s40620-019-00658-3

关键词

Exosomes; Biomarkers; Peritoneal dialysis efflux; Endoglin; Peritoneal membrane

资金

  1. National R + D + I [PI16/00072]
  2. ISCIII
  3. European Regional Development Fund
  4. SGR program of Generalitat de Catalunya [2017-SGR-301]
  5. ISCIIIREDinREN [RD16/0009]
  6. Spanish Government FPU grant (Formacion de Personal Universitario) [FPU17/01444]
  7. Germans Trias i Pujol University Hospital grant Ajuts Germans Trias Talents 2017
  8. Catalan Health Department (Generalitat de Catalunya) contract PERIS [SLT002/16/00069]
  9. Health Department of the Catalan Government (Direccio General de Recerca i Innovacio, Dept. Salut, Generalitat de Catalunya)

向作者/读者索取更多资源

Background Peritoneal dialysis (PD) is an optimal renal replacement therapy for patients while waiting for kidney transplantation, but functional failure of the peritoneal membrane (PM), mainly induced by exposure to PD solutions, force many patients to early abandon PD therapy. PM function is evaluated by the peritoneal equilibration test (PET), a tedious technique only detecting alterations in extensively damaged PM. In a previous study, we showed that peritoneal dialysis effluent contained extracellular vesicles (PDE-EV), and that their proteome was significantly different between newly enrolled and long-term PD patients. Here, we report the results of a longitudinal study and compare PDE-EV proteome changes with PET results. Methods PDE was collected from 11 patients every 6 months (coincident with PET controls) from 0 months up to 24 months on PD. PDE-EV were isolated by size-exclusion chromatography and the proteome was analyzed by mass spectrometry (LC-MS/MS). Bioinformatic analyses were conducted to evaluate differences between groups. Results At follow-up endpoint, patients were classified as Stable (n = 7) or Unstable (n = 4) according to PET evolution. Strikingly, PDE-EV from the Stable group showed a significantly higher protein expression compared to Unstable patients already at 6 months on PD, when PET alterations had not been detected yet. Conclusions PDE-EV proteome show alterations much earlier than PET monitoring, thus unveiling the potential of PDE-EV proteins as feasible biomarkers of PM alteration in PD patients.

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