Evidence map›Paper›PMID 41396448›Full record

ArticleInvestigative ophthalmology & visual science2025

Automated Assessment of Retinal Vascular Integrity Across Species.

Jeffrey O'Callaghan, Natalie Hudson, Nicole Hanley, Avril Reddy, Aisling Naylor, Alan Hopkins, Matthew O'Riordan, Fionn O'Leary, Deirdre Harford, Rory Holohan and 7 more

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Jeffrey O'CallaghanSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Natalie HudsonSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Nicole HanleySmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Avril ReddySmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Aisling NaylorSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Alan HopkinsSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Matthew O'RiordanSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Fionn O'LearySmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Deirdre HarfordSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Rory HolohanSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Denis NevrovSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
Eleanor DemmonsVirscio, Inc., New Haven, Connecticut, United States.
Matthew S LawrenceVirscio, Inc., New Haven, Connecticut, United States.
Sarah L DoyleTrinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Peter D WestenskowPharma Research and Early Development, F. Hoffmann-La Roche, Basel, Switzerland.
Mark CahillRoyal Victoria Eye and Ear Hospital, Research Foundation, Dublin, Ireland.
Matthew CampbellSmurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop an automated approach for the analysis of fundus fluorescein angiography (FFA) images and apply this methodology to examine inner blood-retina barrier (iBRB) circadian integrity across species and age. Methods: We acquired and quantified retinal images from mouse, non-human primate (NHP), and human eyes taken at the morning and in the evening. To facilitate the analysis, we developed and validated the Fluorescent Ocular Vasculature Analysis Suite (FOVAS), allowing for the quantification of large temporal retinal FFA datasets, with automated analysis, graphing, and reporting. We then compared fluorescein intensity at various microvasculature regions and ages and examined fluorescein signal at distinct phases along a 10-minute imaging session. Results: We detected a significant circadian-related difference in iBRB leakage between the morning and the evening in young adult mice, NHPs, and humans, using the validated FOVAS to quantify the FFA images. This difference was reduced with age across species. Conclusions: FOVAS successfully quantified FFA images demonstrating high sensitivity for the detection of changes in vascular integrity across species and time.

Indexed as

Blood-Retinal BarrierCircadian RhythmFluorescein AngiographyRetinal VesselsAdultAnimalsFemaleFundus OculiHumansMaleMiceMice, Inbred C57BLSpecies Specificity

Identifiers

PMID41396448
PMCPMC12710776

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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.