Cargando…

Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology

BACKGROUND: Intrathecal drug delivery has a significant role in pain management and central nervous system (CNS) disease therapeutics. A fluid-physics based tool to assist clinicians in choosing specific drug doses to the spine or brain may help improve treatment schedules. METHODS: This study appli...

Descripción completa

Detalles Bibliográficos
Autores principales: Khani, Mohammadreza, Burla, Goutham Kumar Reddy, Sass, Lucas R., Arters, Ostin N., Xing, Tao, Wu, Haiming, Martin, Bryn A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796513/
https://www.ncbi.nlm.nih.gov/pubmed/35090516
http://dx.doi.org/10.1186/s12987-022-00304-4
_version_ 1784641346201452544
author Khani, Mohammadreza
Burla, Goutham Kumar Reddy
Sass, Lucas R.
Arters, Ostin N.
Xing, Tao
Wu, Haiming
Martin, Bryn A.
author_facet Khani, Mohammadreza
Burla, Goutham Kumar Reddy
Sass, Lucas R.
Arters, Ostin N.
Xing, Tao
Wu, Haiming
Martin, Bryn A.
author_sort Khani, Mohammadreza
collection PubMed
description BACKGROUND: Intrathecal drug delivery has a significant role in pain management and central nervous system (CNS) disease therapeutics. A fluid-physics based tool to assist clinicians in choosing specific drug doses to the spine or brain may help improve treatment schedules. METHODS: This study applied computational fluid dynamics (CFD) and in vitro model verification to assess intrathecal drug delivery in an anatomically idealized model of the human CSF system with key anatomic features of the CNS. Key parameters analyzed included the role of (a) injection location including lumbar puncture (LP), cisterna magna (CM) and intracerebroventricular (ICV), (b) LP injection rate, injection volume, and flush volume, (c) physiologic factors including cardiac-induced and deep respiration-induced CSF stroke volume increase. Simulations were conducted for 3-h post-injection and used to quantify spatial–temporal tracer concentration, regional area under the curve (AUC), time to maximum concentration (T(max)), and maximum concentration (C(max)), for each case. RESULTS: CM and ICV increased AUC to brain regions by ~ 2 logs compared to all other simulations. A 3X increase in bolus volume and addition of a 5 mL flush both increased intracranial AUC to the brain up to 2X compared to a baseline 5 mL LP injection. In contrast, a 5X increase in bolus rate (25 mL/min) did not improve tracer exposure to the brain. An increase in cardiac and respiratory CSF movement improved tracer spread to the brain, basal cistern, and cerebellum up to ~ 2 logs compared to the baseline LP injection. CONCLUSION: The computational modeling approach provides ability to conduct in silico trials representative of CSF injection protocols. Taken together, the findings indicate a strong potential for delivery protocols to be optimized to reach a target region(s) of the spine and/or brain with a needed therapeutic dose. Parametric modification of bolus rate/volume and flush volume was found to have impact on tracer distribution; albeit to a smaller degree than injection location, with CM and ICV injections resulting in greater therapeutic dose to brain regions compared to LP. CSF stroke volume and frequency both played an important role and may potentially have a greater impact than the modest changes in LP injection protocols analyzed such as bolus rate, volume, and flush. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12987-022-00304-4.
format Online
Article
Text
id pubmed-8796513
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-87965132022-02-03 Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology Khani, Mohammadreza Burla, Goutham Kumar Reddy Sass, Lucas R. Arters, Ostin N. Xing, Tao Wu, Haiming Martin, Bryn A. Fluids Barriers CNS Research BACKGROUND: Intrathecal drug delivery has a significant role in pain management and central nervous system (CNS) disease therapeutics. A fluid-physics based tool to assist clinicians in choosing specific drug doses to the spine or brain may help improve treatment schedules. METHODS: This study applied computational fluid dynamics (CFD) and in vitro model verification to assess intrathecal drug delivery in an anatomically idealized model of the human CSF system with key anatomic features of the CNS. Key parameters analyzed included the role of (a) injection location including lumbar puncture (LP), cisterna magna (CM) and intracerebroventricular (ICV), (b) LP injection rate, injection volume, and flush volume, (c) physiologic factors including cardiac-induced and deep respiration-induced CSF stroke volume increase. Simulations were conducted for 3-h post-injection and used to quantify spatial–temporal tracer concentration, regional area under the curve (AUC), time to maximum concentration (T(max)), and maximum concentration (C(max)), for each case. RESULTS: CM and ICV increased AUC to brain regions by ~ 2 logs compared to all other simulations. A 3X increase in bolus volume and addition of a 5 mL flush both increased intracranial AUC to the brain up to 2X compared to a baseline 5 mL LP injection. In contrast, a 5X increase in bolus rate (25 mL/min) did not improve tracer exposure to the brain. An increase in cardiac and respiratory CSF movement improved tracer spread to the brain, basal cistern, and cerebellum up to ~ 2 logs compared to the baseline LP injection. CONCLUSION: The computational modeling approach provides ability to conduct in silico trials representative of CSF injection protocols. Taken together, the findings indicate a strong potential for delivery protocols to be optimized to reach a target region(s) of the spine and/or brain with a needed therapeutic dose. Parametric modification of bolus rate/volume and flush volume was found to have impact on tracer distribution; albeit to a smaller degree than injection location, with CM and ICV injections resulting in greater therapeutic dose to brain regions compared to LP. CSF stroke volume and frequency both played an important role and may potentially have a greater impact than the modest changes in LP injection protocols analyzed such as bolus rate, volume, and flush. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12987-022-00304-4. BioMed Central 2022-01-28 /pmc/articles/PMC8796513/ /pubmed/35090516 http://dx.doi.org/10.1186/s12987-022-00304-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Khani, Mohammadreza
Burla, Goutham Kumar Reddy
Sass, Lucas R.
Arters, Ostin N.
Xing, Tao
Wu, Haiming
Martin, Bryn A.
Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
title Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
title_full Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
title_fullStr Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
title_full_unstemmed Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
title_short Human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
title_sort human in silico trials for parametric computational fluid dynamics investigation of cerebrospinal fluid drug delivery: impact of injection location, injection protocol, and physiology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796513/
https://www.ncbi.nlm.nih.gov/pubmed/35090516
http://dx.doi.org/10.1186/s12987-022-00304-4
work_keys_str_mv AT khanimohammadreza humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology
AT burlagouthamkumarreddy humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology
AT sasslucasr humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology
AT artersostinn humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology
AT xingtao humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology
AT wuhaiming humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology
AT martinbryna humaninsilicotrialsforparametriccomputationalfluiddynamicsinvestigationofcerebrospinalfluiddrugdeliveryimpactofinjectionlocationinjectionprotocolandphysiology