Evidence map›Paper›PMID 42028974›Full record

ArticleInvestigative ophthalmology & visual science2026

Nr2e3-Deficient Mice Show Evidence for Elevated Photoreceptor Bioenergetics and Retinal Visual Cycle Activity Based on OCT Metabolic Biomarkers.

Bruce A Berkowitz, Robert H Podolsky, Tom Burgoyne, Matthew J Hayes, Ryan Katz, Rida Waseem, James Soetedjo, Ehimenmen S Ataman, Robin Roberts

Abstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Bruce A BerkowitzDepartment of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, Michigan, United States.
Robert H PodolskyBiostatistics and Study Methodology, MedStar Health Research Institute, Columbia, Maryland, United States.
Tom BurgoyneInstitute of Ophthalmology, University College London, United Kingdom.
Matthew J HayesInstitute of Ophthalmology, University College London, United Kingdom.
Ryan KatzDepartment of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, Michigan, United States.
Rida WaseemDepartment of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, Michigan, United States.
James SoetedjoDepartment of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, Michigan, United States.
Ehimenmen S AtamanDepartment of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, Michigan, United States.
Robin RobertsDepartment of Ophthalmology, Visual and Anatomical Sciences, Wayne State University School of Medicine, Detroit, Michigan, United States.

Funding

VISION RESEARCH--COREP30EY004068 · NEI · WAYNE STATE UNIVERSITY · PI LINDA D HAZLETT · 1985 to 2026
$13.2M
Novel Early Retinal Imaging Biomarkers for Treating Later Spatial Memory Loss in Experimental Alzheimer's DiseaseR01AG081981 · NIA · WAYNE STATE UNIVERSITY · PI BRUCE A. BERKOWITZ · 2023 to 2026
$4.4M
Mitigating retinitis pigmentosa based on a non-invasive rod energy-landscape biomarkerR01EY034309 · NEI · WAYNE STATE UNIVERSITY · PI BRUCE A. BERKOWITZ · 2023 to 2026
$2.0M
NEI NIH HHS P30 EY004068NEI NIH HHS R01 EY034309NIA NIH HHS R01 AG081981
6 · The paper itself

Abstract

Purpose: Ex vivo studies show that photoreceptors of Nr2e3-deficient (rd7) mice display (1) cone-like juxtanuclear mitochondria suggesting higher bioenergetics than in wild-type (WT) mice, and (2) reliance on a cone-only "retinal" visual cycle-two hypotheses examined in vivo herein. Methods: We measured two optical coherence tomography (OCT) metabolic biomarkers in normal and rd7 mice, both on a background with inefficient mitochondria (C57BL/6J), under light and dark conditions. The first biomarker is the external limiting membrane-retinal pigment epithelium (ELM-RPE) thickness which contracts in response to subretinal space acidosis limiting retinoid availability. The second biomarker is the sub-ELM hyperreflective band profile shape aspect ratio which increases when the subretinal space is acidotic and mitochondria are inefficient. We also measured retinal layer thicknesses, mitochondrial configuration by electron microscopy (EM), and visual performance using optokinetic tracking. Results: Compared with WT mice, rd7 mice showed more compact mitochondria (EM) distributed over larger-than-normal regions of photoreceptor inner segments (OCT and EM), and subnormal ELM-RPE thickness; OCT biomarkers did not change with light-dark conditions. The outer nuclear layer (ONL) was slightly thinner than normal, and visual performance was normal. Unexpectedly, inner retina thickness was increased. Conclusions: The data suggest that rd7 mice have higher-than-normal photoreceptor metabolism based on widespread distribution of abnormally less elongated mitochondria, and OCT biomarker evidence of more efficient energy production. The slightly thinner ONL despite reduced ELM-RPE thickness/impaired RPE-based retinoid recycling is consistent with rd7 mice using the cone-specific visual cycle to maintain adequate retinoid levels for vision.

Indexed as

Energy MetabolismOrphan Nuclear ReceptorsPhotoreceptor Cells, VertebrateRetinal Cone Photoreceptor CellsRetinal DegenerationTomography, Optical CoherenceAnimalsBiomarkersDisease Models, AnimalMiceMice, Inbred C57BLMice, KnockoutMicroscopy, ElectronMitochondriaRetinal Pigment EpitheliumBiomarkersNr2e3 protein, mouseOrphan Nuclear Receptors

Identifiers

PMID42028974
PMCPMC13109898

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.