Engineering neurovascular thrombosis: Light-based bioprinting for patient-specific modeling and women’s cerebrovascular health
15 affiliations
- 1School of Biomedical Engineering, The University of Sydney, Darlington, NSW 2008, Australia.
- 2Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia.
- 3The University of Sydney Nano Institute (Sydney Nano), The University of Sydney, Camperdown, NSW 2006, Australia.
- 4Heart Research Institute, Camperdown, Newtown, NSW 2042, Australia.
- 5Centre for Peripheral Artery Disease, Heart Research Institute, Newtown, NSW 2042, Australia.
- 6School of Medical Sciences, The University of Sydney, Camperdown, NSW 2006, Australia.
- 7School of Electrical and Mechanical Engineering, Institute for Photonics and Advanced Sensing (IPAS), Adelaide University, Adelaide, SA 5000, Australia.
- 8School of Biomedical Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia.
- 9Department of Surgery, University of Toronto; Division of Neurosurgery & SickKids Research Institute, The Hospital for Sick Children, Toronto M5G 1X8, Canada.
- 10Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK.
- 11The Nanoscience Centre, University of Cambridge, Cambridge CB3 0FF, UK.
- 12Sydney Biomanufacturing Incubator, The University of Sydney, Camperdown, NSW 2006, Australia.
- 13Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
- 14Department of Bioengineering, University of California, Los Angeles, CA 90095, USA.
- 15Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Abstract
Cerebral venous sinus thrombosis (CVST) and carotid web (CW) are distinct cerebrovascular disorders where vascular geometry, disturbed hemodynamics, and endothelial activation interact to drive thrombosis. Both conditions disproportionately affect women, yet remain understudied because of the inability of traditional platforms to replicate complex three-dimensional lumen profiles. This perspective positions light-based lithography as a powerful biofabrication strategy for patient-specific modeling. Digital light processing and volumetric bioprinting render enclosed, perfusable hydrogel networks with high-fidelity surface topography. When integrated into dynamic vessel-on-chip perfusion loops guided by clinical imaging and computational fluid dynamics, these platforms simulate pathological flow stasis and recirculation zones, heterogeneous shear-stress gradients, and site-specific cellular aggregation. This biofabrication approach enables personalized disease modeling and translationally relevant risk assessment, providing a critical platform for advancing women's cerebrovascular health.
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BibTeX
@article{deiawuku2026engineering,
title = {{Engineering neurovascular thrombosis: Light-based bioprinting for patient-specific modeling and women’s cerebrovascular health}},
author = {Linda Dei-Awuku and Nicole A. Yap and Yunduo Charles Zhao and Zihao Wang and Mary M. Kavurma and Jiawen Li and Xiaoxue Xu and Jennifer Quon and Yan Yan S. Huang and Khoon S. Lim and Kim-Lien Nguyen and Tzung K. Hsiai and Lining Arnold Ju},
journal = {Science Advances},
year = {2026},
month = oct,
doi = {10.1126/sciadv.aeh3952},
url = {https://www.science.org/doi/10.1126/sciadv.aeh3952},
note = {CC BY},
}
RIS
TY - JOUR
TI - Engineering neurovascular thrombosis: Light-based bioprinting for patient-specific modeling and women’s cerebrovascular health
AU - Linda Dei-Awuku
AU - Nicole A. Yap
AU - Yunduo Charles Zhao
AU - Zihao Wang
AU - Mary M. Kavurma
AU - Jiawen Li
AU - Xiaoxue Xu
AU - Jennifer Quon
AU - Yan Yan S. Huang
AU - Khoon S. Lim
AU - Kim-Lien Nguyen
AU - Tzung K. Hsiai
AU - Lining Arnold Ju
PY - 2026
DA - 2026/10/02
JO - Science Advances
DO - 10.1126/sciadv.aeh3952
UR - https://www.science.org/doi/10.1126/sciadv.aeh3952
AB - Cerebral venous sinus thrombosis (CVST) and carotid web (CW) are distinct cerebrovascular disorders where vascular geometry, disturbed hemodynamics, and endothelial activation interact to drive thrombosis. Both conditions disproportionately affect women, yet remain understudied because of the inability of traditional platforms to replicate complex three-dimensional lumen profiles. This perspective positions light-based lithography as a powerful biofabrication strategy for patient-specific modeling. Digital light processing and volumetric bioprinting render enclosed, perfusable hydrogel networks with high-fidelity surface topography. When integrated into dynamic vessel-on-chip perfusion loops guided by clinical imaging and computational fluid dynamics, these platforms simulate pathological flow stasis and recirculation zones, heterogeneous shear-stress gradients, and site-specific cellular aggregation. This biofabrication approach enables personalized disease modeling and translationally relevant risk assessment, providing a critical platform for advancing women's cerebrovascular health.
SN - 2375-2548
ER -