Development and Validation of a Flow-Dependent Endothelialized 3D Model of Intracranial Atherosclerotic Disease
Translational Stroke Research
https://doi.org/10.1007/s12975-024-01310-4
RESEARCH
Development and Validation of a Flow‑Dependent Endothelialized 3D
Model of Intracranial Atherosclerotic Disease
Grace Prochilo1 · Chuanlong Li1 · Eleni Miliotou1 · Russell Nakasone1 · Alissa Pfeffer1 · Charles Beaman1,2 ·
Naoki Kaneko2 · David S. Liebeskind1 · Jason D. Hinman1,3
Received: 26 July 2024 / Revised: 31 October 2024 / Accepted: 7 November 2024
© The Author(s) 2024
Abstract
Intracranial atherosclerotic disease (ICAD) is a major cause of stroke globally, with mechanisms presumed to be shared with
atherosclerosis in other vascular regions. Due to the scarcity of relevant animal models, testing biological hypotheses specific
to ICAD is challenging. We developed a workflow to create patient-specific models of the middle cerebral artery (MCA)
from neuroimaging studies, such as CT angiography. These models, which can be endothelialized with human endothelial
cells and subjected to flow forces, provide a reproducible ICAD model. Using imaging from the SAMMPRIS clinical trial,
we validated this novel model. Computational fluid dynamics flow velocities correlated strongly with particle-derived flow,
regardless of stenosis degree. Post-stenotic flow disruption varied with stenosis severity. Single-cell RNA-seq identified flowdependent endothelial gene expression and specific endothelial subclusters in diseased MCA segments, including upregulated
genes linked to atherosclerosis. Confocal microscopy revealed flow-dependent changes in endothelial cell proliferation and
morphology in vessel segments related to stenosis. This platform, rooted in the specific anatomy of cerebral circulation,
enables detailed modeling of ICAD lesions and pathways. Given the high stroke risk associated with ICAD and the lack of
effective treatments, these experimental models are crucial for developing new ICAD-related stroke therapies.
Keywords Stroke · Intracranial atherosclerosis · Endothelia · Blood flow · Computational fluid dynamics
Introduction
Intracranial atherosclerosis disease (ICAD) is a highly prevalent chronic disease that is a leading cause of stroke worldwide
[1, 2]. Mechanical stenting of ICAD lesions has repeatedly
failed clinical trials [3–5], indicating that mechanical disruption of lesions is insufficient to reduce stroke risk. Despite
its high prevalence and causative role in ischemic stroke, the
pathophysiologic mechanisms of ICAD are incompletely
* Jason D. Hinman
1
Department of Neurology, David Geffen School of Medicine,
Gordon Neuroscience Research Building, The University
of California, 635 Charles E. Young Dr. South, Room 415,
Los AngelesLos Angeles, CA, USA
2
Department Radiology, David Geffen School of Medicine,
The University of California, Los Angeles, Los Angeles, CA,
USA
3
Department of Neurology, Department of Veterans Affairs
Medical Center, Los Angeles, CA, USA
understood. Parallels to atherosclerosis in other circulatory
systems may be relevant. However, drawing these parallels
makes several assumptions that disregard the distinct anatomy
and rates of blood flow in the proximal cerebral vessels that
create a unique inter-relationship between the biophysical
forces of flow and the endothelial surface in ICAD lesions.
This is clear when considering the differential patterns of
recurrent stroke in ICAD, including distal cerebral hypoperfusion accounting for 22.7% of stroke recurrence as indicated
by a border zone infarct pattern while distal thromboembolic
strokes account for 27.3% as indicated by a cortical or territorial pattern [6]. Moreover, the rates of ICAD progression and
impact of the degree of stenosis do not drive rates of ischemic
events as in the coronary or carotid circulations [7, 8]. Therefore, the development of experimental models of ICAD that
can recapitulate the anatomic features of human ICAD lesions
with the flow characteristics driven by the lesion and endothelial cell biology can inform the underlying vascular biology
that may advance this field beyond stenting.
Various models animal and in vitro models of atherosclerosis exist [9]. All existing models have limitations that range
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Translational Stroke Research
from the lack of characteristic atherosclerotic plaques in rodent
models to the use of artificial stenoses in vitro that do not
mimic the anatomic features of ICAD lesions seen in patients.
We previously developed an endothelialized 3D flow model
of intracranial stenosis using patient-derived angiographic
imaging and used it to identify the flow-responsive nature of
angiotensin-converting enzyme 2 (ACE2) in the context of
binding to Sars-CoV2 spike protein [10]. While this model
provides a unique platform to study how stenosis-related flow
forces drive focal changes in endothelial biology, the selection
of patient-derived images as a source for the model can be
biased. To establish a true representative experimental model
of ICAD, case selection should include lesions that have a
proven role in driving stroke. This has been a key limitation of
animal models of ICAD that often develop fatty deposits and,
in some cases, characteristic atherosclerotic lesions but infrequently develop localized thrombosis or embolism leading
to stroke, as in ICAD patients [9]. The Stenting and Aggressive Medical Management for Preventing Recurrent Stroke
in Intracranial Stenosis (SAMMPRIS) trial included patients
with symptomatic intracranial atherosclerosis and tested the
role of mechanical stent placement to reduce stroke risk [3].
The design of SAMMPRIS labels ICAD lesions as symptomatic and, when considering the MCA, enables a withinsubject comparison vessel that is asymptomatic regardless of
whether it harbors a stenosis. We sought to take advantage of
the SAMMPRIS imaging dataset to determine if our endothelialized 3D flow model can represent flow features of ICAD as
suggested by computational fluid dynamics (CFD) and expand
the biologic measures available in this model system.
Here, we show the successful development and validation of an experimental model of intracranial atherosclerosis
derived from the definitive clinical trial in ICAD. In MCA segments from SAMMPRIS, we mapped CFD flow profiles and
experimentally validated these features in vitro. Additionally,
we demonstrate the applicability of single-cell RNA-sequencing (scRNA-seq) as well as confocal microscopy to illustrate
the unique endothelial cell biology driven by ICAD-related
flow disruptions in this 3D flow system. While we sought here
only to introduce and validate this model of ICAD, this powerful approach may be used across the variety of ICAD lesions
to establish novel biophysical relationships between flow and
endothelial biology relevant to stroke risk due to ICAD.
Methodology
Source Imaging
All source imaging was derived from the SAMMPRIS trial
[3]. Baseline computed tomography angiography (CTA)
images from the aggressive medical management (MM)
and aggressive (...truncated)