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...
Autores principales: | , , , , , , |
---|---|
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 |