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A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis
Protein-bound uremic toxins (PBUTs) are difficult to remove by conventional hemodialysis; a high degree of protein binding reduces the free fraction of toxins and decreases their diffusion across dialyzer membranes. Mechanistic understanding of PBUT kinetics can open new avenues to improve their dia...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583320/ https://www.ncbi.nlm.nih.gov/pubmed/28871178 http://dx.doi.org/10.1038/s41598-017-10981-z |
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author | Maheshwari, Vaibhav Thijssen, Stephan Tao, Xia Fuertinger, Doris Kappel, Franz Kotanko, Peter |
author_facet | Maheshwari, Vaibhav Thijssen, Stephan Tao, Xia Fuertinger, Doris Kappel, Franz Kotanko, Peter |
author_sort | Maheshwari, Vaibhav |
collection | PubMed |
description | Protein-bound uremic toxins (PBUTs) are difficult to remove by conventional hemodialysis; a high degree of protein binding reduces the free fraction of toxins and decreases their diffusion across dialyzer membranes. Mechanistic understanding of PBUT kinetics can open new avenues to improve their dialytic removal. We developed a comprehensive model of PBUT kinetics that comprises: (1) a three-compartment patient model, (2) a dialyzer model. The model accounts for dynamic equilibrium between protein, toxin, and the protein-toxin complex. Calibrated and validated using clinical and experimental data from the literature, the model predicts key aspects of PBUT kinetics, including the free and bound concentration profiles for PBUTs and the effects of dialysate flow rate and dialyzer size on PBUT removal. Model simulations suggest that an increase in dialysate flow rate improves the reduction ratio (and removal) of strongly protein-bound toxins, namely, indoxyl sulfate and p-cresyl sulfate, while for weakly bound toxins, namely, indole-3-acetic acid and p-cresyl glucuronide, an increase in blood flow rate is advantageous. With improved dialyzer performance, removal of strongly bound PBUTs improves gradually, but marginally. The proposed model can be used for optimizing the dialysis regimen and for in silico testing of novel approaches to enhance removal of PBUTs. |
format | Online Article Text |
id | pubmed-5583320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55833202017-09-06 A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis Maheshwari, Vaibhav Thijssen, Stephan Tao, Xia Fuertinger, Doris Kappel, Franz Kotanko, Peter Sci Rep Article Protein-bound uremic toxins (PBUTs) are difficult to remove by conventional hemodialysis; a high degree of protein binding reduces the free fraction of toxins and decreases their diffusion across dialyzer membranes. Mechanistic understanding of PBUT kinetics can open new avenues to improve their dialytic removal. We developed a comprehensive model of PBUT kinetics that comprises: (1) a three-compartment patient model, (2) a dialyzer model. The model accounts for dynamic equilibrium between protein, toxin, and the protein-toxin complex. Calibrated and validated using clinical and experimental data from the literature, the model predicts key aspects of PBUT kinetics, including the free and bound concentration profiles for PBUTs and the effects of dialysate flow rate and dialyzer size on PBUT removal. Model simulations suggest that an increase in dialysate flow rate improves the reduction ratio (and removal) of strongly protein-bound toxins, namely, indoxyl sulfate and p-cresyl sulfate, while for weakly bound toxins, namely, indole-3-acetic acid and p-cresyl glucuronide, an increase in blood flow rate is advantageous. With improved dialyzer performance, removal of strongly bound PBUTs improves gradually, but marginally. The proposed model can be used for optimizing the dialysis regimen and for in silico testing of novel approaches to enhance removal of PBUTs. Nature Publishing Group UK 2017-09-04 /pmc/articles/PMC5583320/ /pubmed/28871178 http://dx.doi.org/10.1038/s41598-017-10981-z Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Maheshwari, Vaibhav Thijssen, Stephan Tao, Xia Fuertinger, Doris Kappel, Franz Kotanko, Peter A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
title | A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
title_full | A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
title_fullStr | A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
title_full_unstemmed | A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
title_short | A novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
title_sort | novel mathematical model of protein-bound uremic toxin kinetics during hemodialysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5583320/ https://www.ncbi.nlm.nih.gov/pubmed/28871178 http://dx.doi.org/10.1038/s41598-017-10981-z |
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