Evidence map›Paper›PMID 30979845›Full record

ArticleJournal of neurointerventional surgery2019

Genetic correlates of wall shear stress in a patient-specific 3D-printed cerebral aneurysm model.

Michael R Levitt, Christian Mandrycky, Ashley Abel, Cory M Kelly, Samuel Levy, Venkat K Chivukula, Ying Zheng, Alberto Aliseda, Louis J Kim

Open access · greenAbstract read
In one paragraph

Article in Journal of neurointerventional surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  9. Assessing the aneurysm occlusion efficacy of a shear-thinning biomaterial in a 3D-printed model.Journal of the mechanical behavior of biomedical materials · 2022
    Article
  10. Frontiers in bioengineering and biotechnology · 2022
    Article
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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

9 authors at 2 institutions in 1 country.

Michael R LevittNeurological Surgery, University of Washington, Seattle, WA, USA.
Christian MandryckyBioengineering, University of Washington, Seattle, WA, USA.
Ashley AbelNeurological Surgery, University of Washington, Seattle, WA, USA.
Cory M KellyNeurological Surgery, University of Washington, Seattle, WA, USA.
Samuel LevyNeurological Surgery, University of Washington, Seattle, WA, USA.
Venkat K ChivukulaMechanical Engineering, University of Washington, Seattle, WA, USA.
Ying ZhengStroke and Applied Neuroscience Center, University of Washington, Seattle, WA, USA.
Alberto AlisedaNeurological Surgery, University of Washington, Seattle, WA, USA.
Louis J KimNeurological Surgery, University of Washington, Seattle, WA, USA.
University of Washington · USNeurological Surgery · US

Funding

Improving the computational modeling of coiled cerebral aneurysms through synchrotron microtomographyR01NS105692 · NINDS · UNIVERSITY OF WASHINGTON · PI Michael Robert Levitt · 2018 to 2026
$3.5M
Predicting cerebral aneurysm recurrence using Doppler guidewire measurementsR01NS088072 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, LOUIS JOONG · 2014 to 2018
$1.7M
NINDS NIH HHS R01 NS088072NINDS NIH HHS R01 NS105692
6 · The paper itself

Abstract

objectivesTo study the correlation between wall shear stress and endothelial cell expression in a patient-specific, three-dimensional (3D)-printed model of a cerebral aneurysm. MATERIALS AND

methodsA 3D-printed model of a cerebral aneurysm was created from a patient's angiogram. After populating the model with human endothelial cells, it was exposed to media under flow for 24 hours. Endothelial cell morphology was characterized in five regions of the 3D-printed model using confocal microscopy. Endothelial cells were then harvested from distinct regions of the 3D-printed model for mRNA collection and gene analysis via quantitative polymerase chain reaction (qPCR.) Cell morphology and mRNA measurement were correlated with computational fluid dynamics simulations.

resultsThe model was successfully populated with endothelial cells, which survived under flow for 24 hours. Endothelial morphology showed alignment with flow in the proximal and distal parent vessel and aneurysm neck, but disorganization in the aneurysm dome. Genetic analysis of endothelial mRNA expression in the aneurysm dome and distal parent vessel was compared with the proximal parent vessels. ADAMTS-1 and NOS3 were downregulated in the aneurysm dome, while GJA4 was upregulated in the distal parent vessel. Disorganized morphology and decreased ADAMTS-1 and NOS3 expression correlated with areas of substantially lower wall shear stress and wall shear stress gradient in computational fluid dynamics simulations.

conclusionsCreating 3D-printed models of patient-specific cerebral aneurysms populated with human endothelial cells is feasible. Analysis of these cells after exposure to flow demonstrates differences in both cell morphology and genetic expression, which correlate with areas of differential hemodynamic stress.

Indexed as

Models, CardiovascularPrinting, Three-DimensionalStress, MechanicalAngiographyEndothelial CellsHemodynamicsHumansHuman Umbilical Vein Endothelial CellsHydrodynamicsIntracranial AneurysmPilot Projectsaneurysmblood flowgenetic

Identifiers

PMID30979845
PMCPMC6744304
OpenAlexW2938482133

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.