A comparative proteomics analysis of peritoneal dialysate before and after the occurrence of peritonitis episode by mass spectrometry

Yu Chang Tyan, Shih Bin Su, Sing Sing Ting, Hsien Yi Wang, Pao Chi Liao

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


Background: Peritoneal dialysis (PD) is one of the therapeutic options for the end-stage renal disease (ESRD) patients. The peritoneal membrane is immersed in a high glucose concentration of the peritoneal dialysate, which may cause structural and functional damage. Peritonitis is one of the major complications of PD, which will accelerate the damage of peritoneal membrane by increasing the peritoneal permeability and decrease the ultrafiltration efficiency. It will cause the peritoneal membrane dysfunction and the patient may have fluid overload related complications or hemodialysis. Methods: To enhance our understanding of peritoneal dialysate, the peritoneal dialysate proteins were identified by 2-dimensional gel electrophoresis (2DE) combined with reverse phase nano-high performance liquid chromatography electrospray ionization tandem mass spectrometry (RP-nano-HPLC-ESI-MS/MS) followed by peptide fragmentation pattern. Results: We performed 2DE on the 12 peritoneal dialysate before/after peritonitis, and more than 350 spots were detected. Among these protein spots, 136 spots of the 2DE were excised, in-gel digested and identified by nano-HPLC-ESI-MS/MS. A total of 41 proteins were identified with high levels of confidence. Ten of these were significantly differentially expressed between the peritoneal dialysate samples before/after peritonitis. Conclusion: The present study was designed to establish optimal techniques to develop a proteomic map of peritoneal dialysate proteins. These proteins may not be new biomarkers; however, they may indicate a situation for possible drug treatment and can be the predictors of peritonitis for the validation study in the further.

Original languageEnglish
Pages (from-to)34-44
Number of pages11
JournalClinica Chimica Acta
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Clinical Biochemistry
  • Biochemistry, medical


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