Evidence map›Paper›PMID 39930228›Full record

ArticleAdvances in experimental medicine and biology2025

Classifying Mouse RPE Morphometric Heterogeneity Using REShAPE: An AI-Based Image Analysis Tool.

Davide Ortolan, Dominik Reichert, Huirong Li, Dylan Walmsley, Ruchi Sharma, Kapil Bharti

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Article in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

6 authors.

Davide OrtolanOcular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA. davide.ortolan@nih.gov.
Dominik ReichertOcular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA.
Huirong LiOcular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA.
Dylan WalmsleyOcular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA.
Ruchi SharmaOcular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA.
Kapil BhartiOcular and Stem Cell Translational Research Section, National Eye Institute, Bethesda, MD, USA. kapil.bharti@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinal degenerative diseases caused by retinal pigment epithelium (RPE) dysfunction affect specific areas of the retina. Regions of molecular and phenotypic RPE heterogeneity have been described in the human eye and are thought to underlie geographic differential RPE sensitivity to degeneration. The mouse is one of the most widely used models to study retinal degeneration. A deeper understanding of mouse RPE heterogeneity can facilitate the interpretation of the observed phenotypes in models of retinal degeneration. In this study, we used an AI-based image analysis algorithm (REShAPE) to generate morphometric maps of RPE flatmounts in young adult mice (2 months old). Using cell area, we distinguished three concentric subpopulations of phenotypic heterogeneity. Treatment with sodium iodate, a widely used oxidative agent to model retinal degenerations, induced RPE atrophy of the two centermost subpopulations. RPE morphometric analysis could prove useful when analyzing animal models of retinal degeneration.

Indexed as

AlgorithmsArtificial IntelligenceImage Processing, Computer-AssistedRetinal DegenerationRetinal Pigment EpitheliumAnimalsDisease Models, AnimalIodatesMiceMice, Inbred C57BLIodatessodium iodateCell morphometryMouse RPEOxidative stressRegional sensitivityREShAPERetinal degenerationRPE subpopulationsSodium iodate

Identifiers

PMID39930228

What OpenQuestion 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 OpenQuestion graph.