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Abstract: FR-PO454

Disentangling Peritoneal Protein Loss From Its Sources: A Novel Analytic Peritoneal Effluent Proteomics Approach

Session Information

Category: Dialysis

  • 702 Dialysis: Home Dialysis and Peritoneal Dialysis

Authors

  • Eibensteiner, Fabian, Division of Pediatric Nephrology and Gastroenterology, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
  • Herzog, Rebecca, Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Medical University of Vienna, Vienna, Austria
  • Vychytil, Andreas, Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria
  • Aufricht, Christoph, Division of Pediatric Nephrology and Gastroenterology, Comprehensive Center for Pediatrics, Medical University of Vienna, Vienna, Austria
  • Kratochwill, Klaus, Christian Doppler Laboratory for Molecular Stress Research in Peritoneal Dialysis, Medical University of Vienna, Vienna, Austria
Background

Worldwide, ca. 11% of patients requiring dialysis are being treated with peritoneal dialysis (PD). During each PD exchange high peritoneal protein losses (PPL) occur, reflecting toxin removal, serum loss and inflammation, and predicting mortality and cardiovascular morbidity. Measured PPL is the result of transmembrane serum loss, lymphatic drainage, trans mesothelial reabsorption, local production, and cellular components. However, this concept is still poorly understood.

Methods

Peritoneal dialysis effluent (PDE) samples were obtained from peritoneal equilibrium tests during a prospective, multicenter, double-blinded, controlled, randomized, dual-period, 2-treatment, crossover, phase II, proof-of-concept study in Austria, before administration of the study treatment. PDE samples were submitted to proteomic analysis by Tandem Mass Tag Derivatization 2D-RP/RP Liquid Chromatography Mass Spectrometry. To disentangle transmembrane serum protein loss from local protein production we developed a novel and unique analytical approach. Briefly, partitioning around medoids and proximity in the Euclidean space for between visit single-protein kinetics was utilized to achieve this separation.

Results

We were able to identify 2,624 different proteins within the PDE of 12 patients across two time-points. At first a large cluster of proteins with stable abundances in collinearity with well-established clinical characteristics of PPL (e.g., total protein loss, dialysate-to-plasma-protein) was identified. After clustering and separation steps three groups of proteins were identified: transmembrane serum proteins, locally produced proteins, other (reflecting neither of these mechanisms). Locally produced proteins mainly reflect inflammatory activity whereas transmembrane serum proteins mainly describe transport functions.

Conclusion

PPL is an important but poorly understood undesired effect of PD associated with morbidity and mortality. Our novel and unique analytical approach enables us to disentangle the complexity of transmembrane serum protein loss and local protein production on single-protein level across the peritoneal proteome. This will aid conceptual pathophysiological understanding and identification of novel drug targets to improve PD patients’ outcomes.