Proteomic analysis of peritoneal dialysate fluid in patients with dialysis-related peritonitis.

The prognosis of uremia patients on continuous ambulatory peritoneal dialysis (CAPD) is related to frequent peritonitis rate. Frequent peritonitis will lead to peritoneum failure, making CAPD unfeasible. We have performed proteomic profiling of peritoneal dialysis effluent samples from a cross-section of CAPD patients with and without peritonitis in order to identify biomarkers of peritonitis. We performed 2D gel electrophoresis and surface-enhanced laser esorption/ionization time of flight mass spectrometry (SELDI-TOF MS) on peritoneal dialysis effluent from 16 subjects with peritonitis. A genetic algorithm search of principal component space revealed a group of a peak distinguishing peritonitis-positive subjects, with mass/charge (m/z) values of 11,117.4. Our analyses identified the peak at m/z 11,117.4 with an accuracy of 95% for classifying peritonitis. Mass spectrometric analysis of peritonitis PDE samples identified the 11,117.4 protein as beta2-microglobulin (B2M). Using an unbiased protein profiling approach, we have validated previously reported findings of B2M as a biomarker associated with CAPD peritonitis. Prospective studies are warranted to establish additional biomarkers that would be predictive of peritoneal dialysis peritonitis. Besides, extending the study to a larger number of patients with subgroup analyses may yield additional information of the peritoneal dialysate proteins in association with dialysis adequacy, residual renal function, nutritional status, and risk of peritoneal infection.