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Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF

Glial cell line-derived neurotrophic factor (GDNF) is a potential therapy for Parkinson’s disease (PD) promoting survival and functional recovery of dopaminergic neurons when delivered to the degenerated striatum. To study the aspects of intraputamenal delivery of GDNF, a mathematical model of recom...

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Autores principales: Belova, Elena, Shaffer, Christopher L., Trapa, Patrick E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680405/
https://www.ncbi.nlm.nih.gov/pubmed/28493093
http://dx.doi.org/10.1007/s11517-017-1650-x
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author Belova, Elena
Shaffer, Christopher L.
Trapa, Patrick E.
author_facet Belova, Elena
Shaffer, Christopher L.
Trapa, Patrick E.
author_sort Belova, Elena
collection PubMed
description Glial cell line-derived neurotrophic factor (GDNF) is a potential therapy for Parkinson’s disease (PD) promoting survival and functional recovery of dopaminergic neurons when delivered to the degenerated striatum. To study the aspects of intraputamenal delivery of GDNF, a mathematical model of recombinant methionyl human GDNF (r-metHuGDNF) convection in the human putamen has been developed. The convection-enhanced delivery infusions of r-metHuGDNF were simulated at rates up to 5 μL/min. The high-rate infusions (≥1 μL/min) permit rapid and uniform distribution of drug with up to 75% of the distribution volume having a concentration within 5% of the infusate concentration. No relevant differences in distribution at infusion rates of 3 and 5 μL/min were found. The patterns of GDNF distribution were analyzed in relation to the anatomy of the posterior dorsal putamen, and a cylindrical shape was found to be preferable considering risks of target overflow. A magnetic resonance (MR) tracer Gd-DTPA (Magnevist®) was evaluated as a surrogate in clinical studies, and the most accurate prediction of GDNF distribution was calculated immediately after infusion. The clearance of GDNF from the striatum is confirmed to be slow, with a half-life of ca. 19 h.
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spelling pubmed-56804052017-11-21 Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF Belova, Elena Shaffer, Christopher L. Trapa, Patrick E. Med Biol Eng Comput Original Article Glial cell line-derived neurotrophic factor (GDNF) is a potential therapy for Parkinson’s disease (PD) promoting survival and functional recovery of dopaminergic neurons when delivered to the degenerated striatum. To study the aspects of intraputamenal delivery of GDNF, a mathematical model of recombinant methionyl human GDNF (r-metHuGDNF) convection in the human putamen has been developed. The convection-enhanced delivery infusions of r-metHuGDNF were simulated at rates up to 5 μL/min. The high-rate infusions (≥1 μL/min) permit rapid and uniform distribution of drug with up to 75% of the distribution volume having a concentration within 5% of the infusate concentration. No relevant differences in distribution at infusion rates of 3 and 5 μL/min were found. The patterns of GDNF distribution were analyzed in relation to the anatomy of the posterior dorsal putamen, and a cylindrical shape was found to be preferable considering risks of target overflow. A magnetic resonance (MR) tracer Gd-DTPA (Magnevist®) was evaluated as a surrogate in clinical studies, and the most accurate prediction of GDNF distribution was calculated immediately after infusion. The clearance of GDNF from the striatum is confirmed to be slow, with a half-life of ca. 19 h. Springer Berlin Heidelberg 2017-05-11 2017 /pmc/articles/PMC5680405/ /pubmed/28493093 http://dx.doi.org/10.1007/s11517-017-1650-x Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.
spellingShingle Original Article
Belova, Elena
Shaffer, Christopher L.
Trapa, Patrick E.
Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF
title Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF
title_full Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF
title_fullStr Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF
title_full_unstemmed Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF
title_short Insights from mathematical modeling for convection-enhanced intraputamenal delivery of GDNF
title_sort insights from mathematical modeling for convection-enhanced intraputamenal delivery of gdnf
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680405/
https://www.ncbi.nlm.nih.gov/pubmed/28493093
http://dx.doi.org/10.1007/s11517-017-1650-x
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