Evidence map›Paper›PMID 39774293›Full record

ReviewEye (London, England)2025

Canine Best disease as a translational model.

Gustavo D Aguirre, William A Beltran

Abstract readReview
In one paragraph

Review in Eye (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Gustavo D AguirreDivision of Experimental Retinal Therapies, Department of Clinical Sciences, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, 19104, USA. gda@vet.upenn.edu.ORCID 0000-0002-5228-256X
William A BeltranDivision of Experimental Retinal Therapies, Department of Clinical Sciences, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, 19104, USA.

Funding

Scientific TransparencyP30EY001583 · NEI · UNIVERSITY OF PENNSYLVANIA · PI CLAIRE H MITCHELL · 1985 to 2026
$19.5M
Foundation Fighting Blindness (Foundation Fighting Blindness, Inc.) no numberNEI NIH HHS P30 EY001583
6 · The paper itself

Abstract

In this review, we summarize the findings of several pre-clinical studies in the canine BEST1 disease model. To this end, client-owned and purpose bred dogs that were compound heterozygotes or homozygotes, respectively, for two or one of 3 different mutations in BEST1 were evaluated by ophthalmic examination, cSLO/sdOCT imaging, and retinal immunohistochemistry to characterize the clinical and microanatomic features of the disease. Subsequently AAV-mediated gene therapy was done to transfer the BEST1 transgene to the RPE under control of a hVMD2 promoter. We demonstrated that canine bestrophinopathies are an RPE-photoreceptor interface disease with underdeveloped RPE apical microvilli that invest rod and cone outer segments. This leads to microdetachments which later progress to clinically evident RPE-retinal separation and a spectrum of disease stages, ranging from vitelliform to vitelliruptive/atrophic lesions, similar to Best Vitelliform Macular Dystrophy (BVMD). Gene therapy corrects the microdetachments and reverses large lesions when delivered at the pseudohypopyon stage of disease. Because of the similar clinical and microstructural abnormalities between the canine model and BVMD, and positive response to gene therapy, the canine model is a valuable translational model for developing gene and other therapies for BVMD.

Indexed as

Disease Models, AnimalDog DiseasesEye Diseases, HereditaryGenetic TherapyRetinal DiseasesAnimalsBestrophinsDogsTranslational Research, BiomedicalBestrophins

Identifiers

PMID39774293
PMCPMC11794707

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.