Literature DB >> 18156455

Differences in solute removal by two high-flux membranes of nominally similar synthetic polymers.

Rosemary Ouseph1, Colin A Hutchison, Richard A Ward.   

Abstract

BACKGROUND: Membranes fabricated from nominally similar polymers may be markedly different in chemical composition, morphology and geometry. To examine the relative importance of these factors to dialyzer performance, the removal of small and large uraemic toxins was determined for dialyzers containing 'polysulfone' membranes of different composition and morphology, with and without fibre undulations.
METHODS: Total removal and instantaneous clearances of urea, phosphorus, beta(2)-microglobulin, leptin, angiogenin, complement factor D and immunoglobulin kappa light chain were determined in randomized cross-over studies. Total solute removal was assessed from the pre- to post-dialysis change in plasma concentration and the total amount of solute recovered in the dialysate. Trapping of solute at the membrane was determined as the difference between solute lost from plasma water and solute recovered in the dialysate.
RESULTS: Total removal of urea and phosphorus was independent of the membrane composition and structure. Large molecule removal differed significantly between the two membranes, particularly for beta(2)-microglobulin. The importance of trapping at the membrane as a mechanism of beta(2)-microglobulin removal also differed significantly between the two membranes, with trapping being less important for the membrane with the greatest beta(2)-microglobulin removal. As molecular size increased, the contribution of trapping at the membrane to solute removal increased and the difference between the two membranes decreased.
CONCLUSIONS: High-flux membranes fabricated from nominally similar polymers may differ significantly in their ability to remove low molecular weight protein uraemic toxins.

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Year:  2007        PMID: 18156455     DOI: 10.1093/ndt/gfm916

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  8 in total

Review 1.  Normal and pathologic concentrations of uremic toxins.

Authors:  Flore Duranton; Gerald Cohen; Rita De Smet; Mariano Rodriguez; Joachim Jankowski; Raymond Vanholder; Angel Argiles
Journal:  J Am Soc Nephrol       Date:  2012-05-24       Impact factor: 10.121

2.  Urinary Angiogenin Reflects the Magnitude of Kidney Injury at the Infrahistologic Level.

Authors:  Quentin Tavernier; Iadh Mami; Marion Rabant; Alexandre Karras; Pierre Laurent-Puig; Eric Chevet; Eric Thervet; Dany Anglicheau; Nicolas Pallet
Journal:  J Am Soc Nephrol       Date:  2016-07-19       Impact factor: 10.121

Review 3.  tRNA fragmentation and protein translation dynamics in the course of kidney injury.

Authors:  Iadh Mami; Nicolas Pallet
Journal:  RNA Biol       Date:  2018-02-12       Impact factor: 4.652

Review 4.  High-flux versus low-flux membranes for end-stage kidney disease.

Authors:  Suetonia C Palmer; Kannaiyan S Rabindranath; Jonathan C Craig; Paul J Roderick; Francesco Locatelli; Giovanni F M Strippoli
Journal:  Cochrane Database Syst Rev       Date:  2012-09-12

5.  Changes of Early Sepsis Biomarker Presepsin Level during Hemodialysis: Influence of β2-Microglobulin Clearance of Dialysis Membrane: A Preliminary Study.

Authors:  Jun Shiota
Journal:  Kidney Dis (Basel)       Date:  2018-10-09

6.  Effect of increasing dialysate flow rate on diffusive mass transfer of urea, phosphate and beta2-microglobulin during clinical haemodialysis.

Authors:  Jai P Bhimani; Rosemary Ouseph; Richard A Ward
Journal:  Nephrol Dial Transplant       Date:  2010-06-13       Impact factor: 5.992

7.  Protein-Bound Uremic Toxin Profiling as a Tool to Optimize Hemodialysis.

Authors:  Sunny Eloot; Daniel Schneditz; Tom Cornelis; Wim Van Biesen; Griet Glorieux; Annemie Dhondt; Jeroen Kooman; Raymond Vanholder
Journal:  PLoS One       Date:  2016-01-22       Impact factor: 3.240

8.  Proteomics investigation of the changes in serum proteins after high- and low-flux hemodialysis.

Authors:  Shuai Han; Kaiguang Yang; Hong Zhu; Jianhui Liu; Lihua Zhang; Jiuyang Zhao
Journal:  Ren Fail       Date:  2018-11       Impact factor: 2.606

  8 in total

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