Comapping Cellular Content and Extracellular Matrix with Hemodynamics in Intact Arterial Tissues Using Scanning Immunofluorescent Multiphoton Microscopy.

Autor:	Tobe Y; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA., Robertson AM; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA., Ramezanpour M; Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA., Cebral JR; Department of Bioengineering, George Mason University, Fairfax, VA 22030, USA., Watkins SC; Department of Cell Biology, University of Pittsburgh, PA 15261, USA., Charbel FT; Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL 60612, USA., Amin-Hanjani S; Department of Neurological Surgery, University Hospital Cleveland Medical Center, Cleveland, OH 44106, USA., Yu AK; Department of Neurological Surgery, Allegheny Health Network, Pittsburgh, PA 15212, USA., Cheng BC; Neuroscience and Orthopedic Institutes, Allegheny Health Network, Pittsburgh, PA 15212, USA., Woo HH; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra Northwell, Manhasset, NY 11549, USA.
Jazyk:	angličtina
Zdroj:	Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada [Microsc Microanal] 2024 Apr 29; Vol. 30 (2), pp. 342-358.
DOI:	10.1093/mam/ozae025
Abstrakt:	Deviation of blood flow from an optimal range is known to be associated with the initiation and progression of vascular pathologies. Important open questions remain about how the abnormal flow drives specific wall changes in pathologies such as cerebral aneurysms where the flow is highly heterogeneous and complex. This knowledge gap precludes the clinical use of readily available flow data to predict outcomes and improve treatment of these diseases. As both flow and the pathological wall changes are spatially heterogeneous, a crucial requirement for progress in this area is a methodology for acquiring and comapping local vascular wall biology data with local hemodynamic data. Here, we developed an imaging pipeline to address this pressing need. A protocol that employs scanning multiphoton microscopy was developed to obtain three-dimensional (3D) datasets for smooth muscle actin, collagen, and elastin in intact vascular specimens. A cluster analysis was introduced to objectively categorize the smooth muscle cells (SMC) across the vascular specimen based on SMC actin density. Finally, direct quantitative comparison of local flow and wall biology in 3D intact specimens was achieved by comapping both heterogeneous SMC data and wall thickness to patient-specific hemodynamic results. Competing Interests: Conflict of Interest: The authors declare that they have no competing interest. (© The Author(s) 2024. Published by Oxford University Press on behalf of the Microscopy Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)
Databáze:	MEDLINE
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