Evidence map›Paper›PMID 42484597›Full record

ArticleTranslational vision science & technology2026

Toward Organelle Motility as a Functional Biomarker of Retinal Pigment Epithelium Health.

Somayyeh Soltanian-Zadeh, Samira Aghayee, Osamah J Saeedi, Catherine Cukras, Zhuolin Liu, Daniel X Hammer

Abstract read
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Article in Translational vision science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Somayyeh Soltanian-ZadehDivision of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.
Samira AghayeeDivision of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.
Osamah J SaeediDepartment of Ophthalmology, University of Maryland Baltimore School of Medicine, Baltimore, MD, USA.
Catherine CukrasDivision of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Zhuolin LiuDivision of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.
Daniel X HammerDivision of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of this study was to quantify characteristics of retinal pigment epithelium (RPE) organelle motility in human subjects across the temporal (T) macula. Methods: In 11 healthy volunteers (HVs), we used high-speed adaptive optics-optical coherence tomography (AO-OCT) to image RPE cells from the fovea to 12°T. Organelle motility was calculated in the apical, middle, and basal layers as the time constant (τ) of the exponentially decaying speckle decorrelation function normalized to the photoreceptor layer. We imaged 7 HVs on 3 different days at the fovea and 7.5°T to characterize motility repeatability. We imaged 4 HVs on 2 systems with 830 nm and 1060 nm source wavelengths at 7.5°T to explore motility wavelength dependence. Results: Across the temporal macula, τ decreased from 15.3 (±2.4) to 10.9 (±2.7) seconds (-0.33 seconds/degrees) for the apical RPE, decreased from 9.4 (±1.8) to 8.5 (±1.9) seconds (-0.11 seconds/degrees) for the middle RPE, and was nearly constant (-0.05 seconds/degrees) at 6.7 (±1.0) seconds for the basal RPE at 1060 nm. Motility repeatability was moderate (coefficient of variance [CV] = 10.7% for all subjects and locations). At all RPE layers, τ measured shorter at 830 nm (apical = 6.8 ± 2.2, middle = 4.8 ± 1.0, and basal = 3.8 ± 0.7 seconds) compared with 1060 nm (apical = 10.4 ± 2.8, middle = 6.5 ± 1.6, and basal = 5.0 ± 1.1 seconds, P < 0.005). Conclusions: RPE organelle motility varies across the macula and cell depth. Our normative dataset will aid future studies of RPE-related retinal pathology. Translational Relevance: AO-OCT measured organelle motility is a potential functional biomarker of RPE cell health and ocular disease pathophysiology.

Indexed as

OrganellesRetinal Pigment EpitheliumAdultBiomarkersFemaleHealthy VolunteersHumansMaleTomography, Optical CoherenceYoung AdultBiomarkers

Identifiers

PMID42484597
PMCPMC13401124

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LicenceCC BY-NC-ND
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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.