Evidence map›Paper›PMID 38361912›Full record

ArticleOphthalmology science

Development of a Semi-automated Computer-based Tool for the Quantification of Vascular Tortuosity in the Murine Retina.

Kyle V Marra, Jimmy S Chen, Hailey K Robles-Holmes, Joseph Miller, Guoqin Wei, Edith Aguilar, Yoichiro Ideguchi, Kristine B Ly, Sofia Prenner, Deniz Erdogmus and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Kyle V MarraDepartment of Molecular Medicine, The Scripps Research Institute, San Diego, California.
Jimmy S ChenDepartment of Ophthalmology, Shiley Eye Institute, University of California San Diego, San Diego, California.
Hailey K Robles-HolmesDepartment of Ophthalmology, Shiley Eye Institute, University of California San Diego, San Diego, California.
Joseph MillerDepartment of Ophthalmology, Shiley Eye Institute, University of California San Diego, San Diego, California.
Guoqin WeiDepartment of Molecular Medicine, The Scripps Research Institute, San Diego, California.
Edith AguilarDepartment of Molecular Medicine, The Scripps Research Institute, San Diego, California.
Yoichiro IdeguchiDepartment of Molecular Medicine, The Scripps Research Institute, San Diego, California.
Kristine B LyCollege of Optometry, Pacific University, Forest Grove, Oregon.
Sofia PrennerDepartment of Ophthalmology, Shiley Eye Institute, University of California San Diego, San Diego, California.
Deniz ErdogmusDepartment of Electrical and Computer Engineering, Northeastern University, Boston, Massachusetts.
Napoleone FerraraDepartment of Ophthalmology, Shiley Eye Institute, University of California San Diego, San Diego, California.
J Peter CampbellDepartment of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.
Martin FriedlanderDepartment of Molecular Medicine, The Scripps Research Institute, San Diego, California.
Eric NudlemanDepartment of Ophthalmology, Shiley Eye Institute, University of California San Diego, San Diego, California.
University of California San Diego · USScripps Research Institute · USNortheastern University · USOregon Health & Science University · USPacific University Oregon · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI John Peter Campbell · 1995 to 2026
$19.4M
INTEGRINS AND OCULAR ANGIOGENESISR01EY011254 · NEI · SCRIPPS RESEARCH INSTITUTE, THE · PI FRIEDLANDER, MARTIN · 1996 to 2016
$11.5M
Clinical and Genetic Analysis of Retinopathy of PrematurityR01EY019474 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI CAMPBELL, JOHN PETER · 2010 to 2020
$7.0M
Novel Long-Acting Inhibitors of Vascular Endothelial Growth Factor (VEGF) for Treatment of Intraocular Vascular DisordersR01EY031345 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FERRARA, NAPOLEONE · 2020 to 2024
$2.3M
Role of PDLIM1 in Retinal Vascular Leakage and ProliferationK08EY028999 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NUDLEMAN, ERIC D · 2018 to 2020
$713k
Artificial intelligence assisted panoramic Optical Coherence Tomography Angiography for Retinopathy of PrematurityR01EY031331 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI CAMPBELL, JOHN PETER, JIAN, YIFAN · 2020 to 2020
$342k
Extracellular vesicles from endothelial colony forming cells as paracrine mediators of neurovasculotrophic repair of the retinaF30EY029141 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARRA, KYLE VINCENT · 2018 to 2023
$216k
NEI NIH HHS F30 EY029141NEI NIH HHS K08 EY028999NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY011254NEI NIH HHS R01 EY019474NEI NIH HHS R01 EY031331NEI NIH HHS R01 EY031345NIGMS NIH HHS T32 GM007198
6 · The paper itself

Abstract

Purpose: The murine oxygen-induced retinopathy (OIR) model is one of the most widely used animal models of ischemic retinopathy, mimicking hallmark pathophysiology of initial vaso-obliteration (VO) resulting in ischemia that drives neovascularization (NV). In addition to NV and VO, human ischemic retinopathies, including retinopathy of prematurity (ROP), are characterized by increased vascular tortuosity. Vascular tortuosity is an indicator of disease severity, need to treat, and treatment response in ROP. Current literature investigating novel therapeutics in the OIR model often report their effects on NV and VO, and measurements of vascular tortuosity are less commonly performed. No standardized quantification of vascular tortuosity exists to date despite this metric's relevance to human disease. This proof-of-concept study aimed to apply a previously published semi-automated computer-based image analysis approach (iROP-Assist) to develop a new tool to quantify vascular tortuosity in mouse models. Design: Experimental study. Subjects: C57BL/6J mice subjected to the OIR model. Methods: In a pilot study, vasculature was manually segmented on flat-mount images of OIR and normoxic (NOX) mice retinas and segmentations were analyzed with iROP-Assist to quantify vascular tortuosity metrics. In a large cohort of age-matched (postnatal day 12 [P12], P17, P25) NOX and OIR mice retinas, NV, VO, and vascular tortuosity were quantified and compared. In a third experiment, vascular tortuosity in OIR mice retinas was quantified on P17 following intravitreal injection with anti-VEGF (aflibercept) or Immunoglobulin G isotype control on P12. Main Outcome Measures: Vascular tortuosity. Results: Cumulative tortuosity index was the best metric produced by iROP-Assist for discriminating between OIR mice and NOX controls. Increased vascular tortuosity correlated with disease activity in OIR. Treatment of OIR mice with aflibercept rescued vascular tortuosity. Conclusions: Vascular tortuosity is a quantifiable feature of the OIR model that correlates with disease severity and may be quickly and accurately quantified using the iROP-Assist algorithm. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Computer-based image analysisOxygen-induced retinopathyVessel tortuosity

Identifiers

PMID38361912
PMCPMC10867761
OpenAlexW4389396825

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.