Evidence map›Paper›PMID 35838329›Full record

ArticleJournal of biomechanical engineering2023

Endothelial Responses to Curvature-Induced Flow Patterns in Engineered Cerebral Aneurysms.

Christian J Mandrycky, Ashley N Abel, Samuel Levy, Laurel M Marsh, Fanette Chassagne, Venkat K Chivukula, Sari E Barczay, Cory M Kelly, Louis J Kim, Alberto Aliseda and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Vascular endothelial integration of multiple biophysical stimuli.Frontiers in cardiovascular medicine · 2026
    Article
  2. Article
  3. Article
  4. Review
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

12 authors at 4 institutions in 1 country.

Christian J MandryckyBioengineering, University of Washington, Seattle, WA 98105; Institute for Stem Cell and Regenerative Medicine, Seattle, WA 98109.
Ashley N AbelNeurological Surgery, University of Washington, Seattle, WA 98195.
Samuel LevyNeurological Surgery, University of Washington, Seattle, WA 98195; Stroke and Applied Neuroscience Center, University of Washington, Seattle, WA 98104.
Laurel M MarshMechanical Engineering, University of Washington, Seattle, WA 98195.
Fanette ChassagneMechanical Engineering, University of Washington, Seattle, WA 98195.
Venkat K ChivukulaMechanical Engineering, University of Washington, Seattle, WA 98195.
Sari E BarczayMechanical Engineering, University of Washington, Seattle, WA 98195.
Cory M KellyNeurological Surgery, University of Washington, Seattle, WA 98195; Stroke and Applied Neuroscience Center, University of Washington, Seattle, WA 98104.
Louis J KimNeurological Surgery, University of Washington, Seattle, WA 98195; Stroke and Applied Neuroscience Center, University of Washington, Seattle, WA 98104; Radiology, University of Washington, Seattle, WA 98195.
Alberto AlisedaNeurological Surgery, University of Washington, Seattle, WA 98195; Stroke and Applied Neuroscience Center, University of Washington, Seattle, WA 98104; Mechanical Engineering, University of Washington, Seattle, WA 98195.
Michael R LevittNeurological Surgery, University of Washington, Seattle, WA 98195; Stroke and Applied Neuroscience Center, University of Washington, Seattle, WA 98104; Mechanical Engineering, University of Washington, Seattle, WA 98195; Radiology, University of Washington, Seattle, WA 98195.
Ying ZhengBioengineering, University of Washington, Seattle, WA 98105Institute for Stem Cell and Regenerative Medicine, Seattle, WA 98109; Stroke and Applied Neuroscience Center, University of Washington, Seattle, WA 98104.
University of Washington · USNeurological Surgery · USSeattle University · USCalifornia Institute for Regenerative Medicine · US

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Improving the computational modeling of coiled cerebral aneurysms through synchrotron microtomographyR01NS105692 · NINDS · UNIVERSITY OF WASHINGTON · PI Michael Robert Levitt · 2018 to 2026
$3.5M
NCATS NIH HHS UL1 TR002319NINDS NIH HHS R01 NS105692
6 · The paper itself

Abstract

Hemodynamic factors have long been associated with clinical outcomes in the treatment of cerebral aneurysms. Computational studies of cerebral aneurysm hemodynamics have provided valuable estimates of the mechanical environment experienced by the endothelium in both the parent vessel and aneurysmal dome walls and have correlated them with disease state. These computational-clinical studies have recently been correlated with the response of endothelial cells (EC) using either idealized or patient-specific models. Here, we present a robust workflow for generating anatomic-scale aneurysm models, establishing luminal cultures of ECs at physiological relevant flow profiles, and comparing EC responses to curvature mediated flow. We show that flow patterns induced by parent vessel curvature produce changes in wall shear stress (WSS) and wall shear stress gradients (WSSG) that are correlated with differences in cell morphology and cellular protein localization. Cells in higher WSS regions align better with the flow and display strong Notch1-extracellular domain (ECD) polarization, while, under low WSS, differences in WSSG due to curvature change were associated with less alignment and attenuation of Notch1-ECD polarization in ECs of the corresponding regions. These proof-of-concept results highlight the use of engineered cellularized aneurysm models for connecting computational fluid dynamics to the underlying endothelial biology that mediates disease.

Indexed as

Intracranial AneurysmEndothelial CellsEndotheliumHemodynamicsHumansHydrodynamicsModels, CardiovascularStress, Mechanicalcomputational fluid dynamicshemodynamicsshear stress

Identifiers

PMID35838329
PMCPMC9445320
OpenAlexW4285589892

What OpenQuestion holds

Textmetadata
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.