4.7 Article

Light sheet fluorescence microscopy as a new method for unbiased three-dimensional analysis of vascular injury

Journal

CARDIOVASCULAR RESEARCH
Volume 117, Issue 2, Pages 520-532

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/cvr/cvaa037

Keywords

Light sheet fluorescence microscopy; Restenosis; Neointimal hyperplasia; Vessel remodelling; Vascular disease

Funding

  1. National Institutes of Health, National Center for Advancing Translational Sciences, UNC Clinical and Translational Science Award-K12 Scholars Programme [KL2TR002490]
  2. National Heart, Lung, and Blood Institute [K01HL145354]
  3. American Heart Association Predoctoral Fellowship [20PRE35120321]
  4. Office of Research and Development, Department of Veterans Affairs [2I01BX001729]
  5. National Institutes of Health [HL130039]
  6. Cancer Center Core Support Grant [P30 CA016086]
  7. North Carolina Biotech Center Institutional Support Grant [2016-IDG-1016]
  8. National Institute of Neurological Disorders and Stroke at the National Institutes of Health Neuroscience Center Support Grant [P30 NS045892]
  9. Eunice Kennedy Shriver National Institute of Child Health and Human Development at the National Institutes of Health Intellectual and Developmental Disabilities Research Center Support Grant [U54 HD079124]

Ask authors/readers for more resources

The study highlights the importance of evaluating preclinical models of vascular disease for successful translation of novel treatments. The use of light sheet fluorescence microscopy (LSFM) allows for more precise measurements compared to traditional histological methods, providing a novel and robust 3D imaging platform for visualizing and quantifying arterial injury. LSFM outperforms classic histology in precision and quantitative capabilities while minimizing user bias associated with 2D histological analysis.
Aims Assessment of preclinical models of vascular disease is paramount in the successful translation of novel treatments. The results of these models have traditionally relied on two-dimensional (2D) histological methodologies. Light sheet fluorescence microscopy (LSFM) is an imaging platform that allows for three-dimensional (3D) visualization of whole organs and tissues. In this study, we describe an improved methodological approach utilizing LSFM for imaging of preclinical vascular injury models while minimizing analysis bias. Methods and results The rat carotid artery segmental pressure-controlled balloon injury and mouse carotid artery ligation injury were performed. Arteries were harvested and processed for LSFM imaging and 3D analysis, as well as for 2D area histological analysis. Artery processing for LSFM imaging did not induce vessel shrinkage or expansion and was reversible by rehydrating the artery, allowing for subsequent sectioning and histological staining a posteriori. By generating a volumetric visualization along the length of the arteries, LSFM imaging provided different analysis modalities including volumetric, area, and radial parameters. Thus, LSFM-imaged arteries provided more precise measurements compared to classic histological analysis. Furthermore, LSFM provided additional information as compared to 2D analysis in demonstrating remodelling of the arterial media in regions of hyperplasia and periadventitial neovascularization around the ligated mouse artery. Conclusion LSFM provides a novel and robust 3D imaging platform for visualizing and quantifying arterial injury in preclinical models. When compared with classic histology, LSFM outperformed traditional methods in precision and quantitative capabilities. LSFM allows for more comprehensive quantitation as compared to traditional histological methodologies, while minimizing user bias associated with area analysis of alternating, 2D histological artery cross-sections.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available