Literature DB >> 8399608

A three-pore model of peritoneal transport.

B Rippe1.   

Abstract

The three-pore model of peritoneal transport treats the capillary membrane as a primary barrier determining the amount of solute that transports to the interstitium and the peritoneal cavity. According to the three-pore model, the principal peritoneal exchange route for water and water-soluble substances is a protein-restrictive pore pathway of radius 40-55 A, accounting for approximately 99% of the total exchange (pore) area and approximately 90% of the total peritoneal ultrafiltration (UF) coefficient (LpS). For their passage through the peritoneal membrane proteins are confined to so-called "large pores" of radius approximately 250 A, which are extremely few in number (0.01% of the total pore population) and more or less nonrestrictive with respect to protein transport. The third pathway of the three-pore model accounts for only about 2% of the total LpS and is permeable to water but impermeable to solutes, a so-called "water-only" (transcellular?) pathway. In contrast to the classical Pyle-Popovich (P&amp;P) model, the three-pore model can predict with reasonable accuracy not only the transport of water and "small solutes" (molecular radius 2.3-15 A) and "intermediate-size" solutes (radius 15-36 A), but also the transport of albumin (radius 36 A) and larger molecules across the peritoneal membrane. The model operates with reflection coefficients(a) (sigma's) for small solutes < 0.1. These are approximately one order of magnitude lower than the sigma's in the P&amp;P model. Furthermore, the peritoneal LpS is one order of magnitude higher than in the P&amp;P model.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8399608

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  36 in total

1.  Free water transport measured by double mini-PET may be increased by higher glucose exposure in peritoneal dialysis.

Authors:  Claudio Musetti; Daniele Ciurlino; Silvio V Bertoli
Journal:  Perit Dial Int       Date:  2012 Mar-Apr       Impact factor: 1.756

Review 2.  Hypertension in Pediatric Dialysis Patients: Etiology, Evaluation, and Management.

Authors:  Raj Munshi; Joseph T Flynn
Journal:  Curr Hypertens Rep       Date:  2018-06-08       Impact factor: 5.369

Review 3.  Peritoneal dialysis prescription in children: bedside principles for optimal practice.

Authors:  Michel Fischbach; Bradley A Warady
Journal:  Pediatr Nephrol       Date:  2008-09-20       Impact factor: 3.714

4.  Independent effects of systemic and peritoneal inflammation on peritoneal dialysis survival.

Authors:  Mark Lambie; James Chess; Kieron L Donovan; Yong Lim Kim; Jun Young Do; Hi Bahl Lee; Hyunjin Noh; Paul F Williams; Andrew J Williams; Sara Davison; Marc Dorval; Angela Summers; John D Williams; John Bankart; Simon J Davies; Nicholas Topley
Journal:  J Am Soc Nephrol       Date:  2013-09-05       Impact factor: 10.121

Review 5.  Optimizing peritoneal dialysis prescription for volume control: the importance of varying dwell time and dwell volume.

Authors:  Michel Fischbach; Ariane Zaloszyc; Betti Schaefer; Claus Peter Schmitt
Journal:  Pediatr Nephrol       Date:  2013-08-02       Impact factor: 3.714

Review 6.  Should sodium removal in peritoneal dialysis be estimated from the ultrafiltration volume?

Authors:  Michel Fischbach; Ariane Zaloszyc; Betti Schaefer; Claus Peter Schmitt
Journal:  Pediatr Nephrol       Date:  2016-04-18       Impact factor: 3.714

7.  Association of Tubular Solute Clearance with Symptom Burden in Incident Peritoneal Dialysis.

Authors:  Ke Wang; Michelle Nguyen; Yan Chen; Andrew N Hoofnagle; Jessica O Becker; Leila R Zelnick; John Kundzins; Anne Goodling; Jonathan Himmelfarb; Bryan Kestenbaum
Journal:  Clin J Am Soc Nephrol       Date:  2020-03-09       Impact factor: 8.237

8.  Peritoneal protein clearance and not peritoneal membrane transport status predicts survival in a contemporary cohort of peritoneal dialysis patients.

Authors:  Jeffrey Perl; Kit Huckvale; Michelle Chellar; Biju John; Simon J Davies
Journal:  Clin J Am Soc Nephrol       Date:  2009-05-28       Impact factor: 8.237

9.  Peritoneal transport rate, systemic inflammation, and residual renal function determine peritoneal protein clearance in continuous ambulatory peritoneal dialysis patients.

Authors:  Yi Tang; Hui Zhong; Yongshu Diao; Min Qin; Xueli Zhou
Journal:  Int Urol Nephrol       Date:  2014-06-04       Impact factor: 2.370

10.  Measuring transport of water across the peritoneal membrane.

Authors:  Ramzana B Asghar; Ann M Diskin; Patrik Spanel; David Smith; Simon J Davies
Journal:  Kidney Int       Date:  2003-11       Impact factor: 10.612

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