Literature DB >> 17924681

Proteomic analysis of peritoneal dialysate fluid in patients with different types of peritoneal membranes.

Suchai Sritippayawan1, Wararat Chiangjong, Theptida Semangoen, Nipa Aiyasanon, Parnthip Jaetanawanitch, Supachok Sinchaikul, Shui-Tein Chen, Somkiat Vasuvattakul, Visith Thongboonkerd.   

Abstract

Efficacy of peritoneal dialysis is determined by solute transport through peritoneal membranes. With the use of the peritoneal equilibration test (PET), peritoneal membranes can be classified as high (H), high average (HA), low average (LA), and low (L) transporters, based on the removal or transport rate of solutes, which are small molecules. Whether there is any difference in macromolecules (i.e., proteins) removed by different types of peritoneal membranes remains unclear. We performed a gel-based differential proteomics study of peritoneal dialysate effluents (PDE) obtained from chronic peritoneal dialysis (CPD) patients with H, HA, LA, and L transport rates (n=5 for each group; total n=20). Quantitative analysis and ANOVA with Tukey's posthoc multiple comparisons revealed five proteins whose abundance in PDE significantly differed among groups. These proteins were successfully identified by matrix-assisted laser desorption ionization quadrupole time-of-flight (MALDI-Q-TOF) mass spectrometry (MS) and tandem mass spectrometry (MS/MS) analyses, including serum albumin in a complex with myristic acid and triiodobenzoic acid, alpha1-antitrypsin, complement component C4A, immunoglobulin kappa light chain, and apolipoprotein A-I. The differences among groups in PDE levels of C4A and immunoglobulin kappa were clearly confirmed in a validation set of the other 24 patients (n=6 for each group) using ELISA. These data may lead to better understanding of the physiology of peritoneal membrane transport in CPD patients. 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.

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Year:  2007        PMID: 17924681     DOI: 10.1021/pr0702969

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  18 in total

1.  Characterizations of PMCA2-interacting complex and its role as a calcium oxalate crystal-binding protein.

Authors:  Arada Vinaiphat; Visith Thongboonkerd
Journal:  Cell Mol Life Sci       Date:  2017-10-30       Impact factor: 9.261

Review 2.  Application of proteomic analysis to the study of renal diseases.

Authors:  Matthew P Welberry Smith; Rosamonde E Banks; Steven L Wood; Andrew J P Lewington; Peter J Selby
Journal:  Nat Rev Nephrol       Date:  2009-10-27       Impact factor: 28.314

3.  Proteomics and peritoneal dialysis: early days but clear potential.

Authors:  Ian A Brewis; Nicholas Topley
Journal:  Nephrol Dial Transplant       Date:  2010-03-26       Impact factor: 5.992

Review 4.  Peritoneal changes in patients on long-term peritoneal dialysis.

Authors:  Raymond T Krediet; Dirk G Struijk
Journal:  Nat Rev Nephrol       Date:  2013-05-14       Impact factor: 28.314

5.  Peritoneal protein leakage, systemic inflammation, and peritonitis risk in patients on peritoneal dialysis.

Authors:  Jie Dong; Yuan Chen; Suping Luo; Rong Xu; Ying Xu
Journal:  Perit Dial Int       Date:  2013-01-02       Impact factor: 1.756

6.  Optimization and evaluation of magnetic bead separation combined with matrix-assisted laser desorption/ionization time-of-flight mass spectroscopy (MALDI-TOF MS) for proteins profiling of peritoneal dialysis effluent.

Authors:  Na Guo; Qiong Wen; Zhi-Jian Li; Ri-Cong Xu; Fen-Fen Peng; Xue-Qing Yu
Journal:  Int J Mol Sci       Date:  2014-01-16       Impact factor: 5.923

Review 7.  The Complement System in Dialysis: A Forgotten Story?

Authors:  Felix Poppelaars; Bernardo Faria; Mariana Gaya da Costa; Casper F M Franssen; Willem J van Son; Stefan P Berger; Mohamed R Daha; Marc A Seelen
Journal:  Front Immunol       Date:  2018-01-25       Impact factor: 7.561

8.  Proteomic profiling for peritoneal dialysate: differential protein expression in diabetes mellitus.

Authors:  Ming-Hui Yang; Hsien-Yi Wang; Chi-Yu Lu; Wan-Chi Tsai; Po-Chiao Lin; Shih-Bin Su; Yu-Chang Tyan
Journal:  Biomed Res Int       Date:  2013-05-28       Impact factor: 3.411

9.  Comparative proteomic analysis of peritoneal dialysate from chronic glomerulonephritis patients.

Authors:  Hsin-Yi Wu; Alex Chien Hwa Liao; Chien-Cheng Huang; Pao-Chi Liao; Chih-Chiang Chien; Wei-Chih Kan; Hsien-Yi Wang
Journal:  Biomed Res Int       Date:  2013-05-14       Impact factor: 3.411

10.  Proteomics analysis of the peritoneal dialysate effluent reveals the presence of calcium-regulation proteins and acute inflammatory response.

Authors:  Elisabete Oliveira; José E Araújo; Silvana Gómez-Meire; Carlos Lodeiro; Cristina Perez-Melon; Elena Iglesias-Lamas; Alfonso Otero-Glez; José L Capelo; Hugo M Santos
Journal:  Clin Proteomics       Date:  2014-04-17       Impact factor: 3.988

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