Histologic Cell Shape Descriptors for the Retinal Pigment Epithelium in Age-Related Macular Degeneration: A Comparison to Unaffected Eyes.


Journal

Translational vision science & technology
ISSN: 2164-2591
Titre abrégé: Transl Vis Sci Technol
Pays: United States
ID NLM: 101595919

Informations de publication

Date de publication:
01 08 2022
Historique:
entrez: 19 8 2022
pubmed: 20 8 2022
medline: 24 8 2022
Statut: ppublish

Résumé

Phenotype alterations of the retinal pigment epithelium (RPE) are a main characteristic of age-related macular degeneration (AMD). Individual RPE cell shape descriptors may help to delineate healthy from AMD-affected cells in early disease stages. Twenty-two human RPE flatmounts (7 eyes with AMD [early, 3; geographic atrophy, 1; neovascular, 3); 15 unaffected eyes [8 aged ≤51 years; 7 aged >80 years)] were imaged at the fovea, perifovea, and near periphery (predefined sample locations) using a laser-scanning confocal fluorescence microscope. RPE cell boundaries were manually marked with computer assistance. For each cell, 11 shape descriptors were calculated and correlated with donor age, cell autofluorescence (AF) intensity, and retinal location. Statistical analysis was performed using an ensemble classifier based on logistic regression. In AMD, RPE was altered at all locations (most pronounced at the fovea), with area, solidity, and form factor being the most discriminatory descriptors. In the unaffected macula, aging had no significant effect on cell shape factors; however, with increasing distance to the fovea, area, solidity, and convexity increased while form factor decreased. Reduced AF in AMD was significantly associated with decreased roundness and solidity. AMD results in an altered RPE with enlarged and deformed cells that could precede clinically visible lesions and thus serve as early biomarkers for AMD onset. Our data may also help guide the interpretation of RPE morphology in in vivo studies utilizing high-resolution single-cell imaging. Our histologic RPE cell shape data have the ability to identify robust biomarkers for the early detection of AMD-affected cells, which also could serve as a basis for automated segmentation of RPE sheets.

Identifiants

pubmed: 35984669
pii: 2783584
doi: 10.1167/tvst.11.8.19
pmc: PMC9419462
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

19

Subventions

Organisme : NEI NIH HHS
ID : R01 EY006109
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY024378
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY027948
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY029595
Pays : United States

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Auteurs

Leon von der Emde (L)

Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.

Marc Vaisband (M)

University of Bonn, Life & Medical Sciences Institute, Bonn, Germany.
Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center; Salzburg Cancer Research Institute-Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR); Paracelsus Medical University, Salzburg, Austria, Cancer Cluster Salzburg, Austria.

Jan Hasenauer (J)

University of Bonn, Life & Medical Sciences Institute, Bonn, Germany.
Helmholtz Center Munich- German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany.

Leonie Bourauel (L)

Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.

Katharina Bermond (K)

Department of Ophthalmology, Ludwigshafen Hospital, Ludwigshafen, Germany.

Marlene Saßmannshausen (M)

Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.

Rainer Heintzmann (R)

Leibniz Institute of Photonic Technology, Jena, Germany.
Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Jena, Germany.

Frank G Holz (FG)

Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.

Christine A Curcio (CA)

Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, AL, USA.

Kenneth R Sloan (KR)

Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, AL, USA.

Thomas Ach (T)

Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.

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