Evidence map›Paper›PMID 35090516›Full record

ArticleFluids and barriers of the CNS2022

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

Mohammadreza Khani, Goutham Kumar Reddy Burla, Lucas R Sass, Ostin N Arters, Tao Xing, Haiming Wu, Bryn A Martin

Open access · goldAbstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 45 citations in OpenAlex.

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  19. A perspective: neuraxial therapeutics in pain management: now and future.Frontiers in pain research (Lausanne, Switzerland) · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mohammadreza KhaniAlcyone Therapeutics, Lowell, MA, USA.
Goutham Kumar Reddy BurlaDepartment of Chemical and Biological Engineering, The University of Idaho, Moscow, ID, USA.
Lucas R SassAlcyone Therapeutics, Lowell, MA, USA.
Ostin N ArtersAlcyone Therapeutics, Lowell, MA, USA.
Tao XingDepartment of Mechanical Engineering, The University of Idaho, Moscow, ID, USA.
Haiming WuBiogen, Cambridge, MA, USA.
Bryn A MartinAlcyone Therapeutics, Lowell, MA, USA. brynmartin@uidaho.com.ORCID http://orcid.org/0000-0003-1234-7880
University of Idaho · USBiogen (United States) · USMACOM (United States) · US

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Scott A Minnich · 2012 to 2026
$59.8M
Tracking and EvaluationU54GM104944 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI KUMAR, PARVESH · 2013 to 2023
$39.6M
NIGMS NIH HHS 4U54GM104944NIGMS NIH HHS P20GM1033408NIGMS NIH HHS P20 GM103408NIGMS NIH HHS U54 GM104944
6 · The paper itself

Abstract

backgroundIntrathecal 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.

methodsThis 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

resultsCM 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.

conclusionThe 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.

Indexed as

Cerebrospinal FluidCisterna MagnaDrug Delivery SystemsInjections, IntraventricularInjections, SpinalModels, TheoreticalComputer SimulationHumansHydrodynamicsBiofluid mechanicsBiomechanicsCentral nervous systemCerebrospinal fluidCisterna magna drug deliveryComputational fluid dynamicsIntrathecal drug deliveryIn vitro modelMagnetic resonance imagingMultiphase solute transportVentricular drug delivery

Identifiers

PMID35090516
PMCPMC8796513
OpenAlexW4220917800

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.