Evidence mapPaperPMID 32053173Full record

ArticleCardiovascular research2021

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

Nicholas E Buglak, Jennifer Lucitti, Pablo Ariel, Sophie Maiocchi, Francis J Miller, Edward S M Bahnson

Abstract readComparative Study
In one paragraph

Article in Cardiovascular research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
field-weighted citation impact
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

14 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nicholas E BuglakDivision of Vascular Surgery, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Jennifer LucittiDepartment of Medicine, Duke University, Durham, NC 27708, USA.
Pablo ArielMicroscopy Services Laboratory, Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Sophie MaiocchiDivision of Vascular Surgery, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
Francis J MillerDepartment of Medicine, Duke University, Durham, NC 27708, USA.
Edward S M BahnsonDivision of Vascular Surgery, Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.

Funding

Virology Research ProgramP30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · 1985 to 2025
$88.3M
UNC Neuroscience Center Research Cores: MicroscopyP30NS045892 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mark J. Zylka · 2003 to 2021
$3.2M
TOXICOLOGYT32ES007126 · UNIV OF NORTH CAROLINA CHAPEL HILL · 1985 to 2025
$2.8M
Cell-Mediated Targeted Redox Intervention for the Treatment and Prevention of AtherosclerosisK01HL145354 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Edward M Bahnson · 2022 to 2023
$219k
BLRD VA I01 BX001729NCATS NIH HHS KL2 TR002490NCI NIH HHS P30 CA016086NHLBI NIH HHS K01 HL145354NHLBI NIH HHS R01 HL130039NICHD NIH HHS U54 HD079124NIEHS NIH HHS T32 ES007126NINDS NIH HHS P30 NS045892
6 · The paper itself

Abstract

aimsAssessment 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

resultsThe 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.

conclusionLSFM 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.

Indexed as

Imaging, Three-DimensionalMicroscopy, FluorescenceAngioplasty, BalloonAnimalsCarotid ArteriesCarotid Artery InjuriesCarotid StenosisDisease Models, AnimalLigationMaleMiceMice, Inbred C57BLNeointimaRatsReproducibility of ResultsVascular RemodelingLight sheet fluorescence microscopyNeointimal hyperplasiaRestenosisVascular diseaseVessel remodelling

Identifiers

PMID32053173
PMCPMC7820842

What Socratic holds

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Registered trials

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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 Socratic graph.