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Normative mice retinal thickness: 16-month longitudinal characterization of wild-type mice and changes in a model of Alzheimer's disease.

Authors :
Batista A
Guimarães P
Martins J
Moreira PI
Ambrósio AF
Castelo-Branco M
Serranho P
Bernardes R
Source :
Frontiers in aging neuroscience [Front Aging Neurosci] 2023 Apr 06; Vol. 15, pp. 1161847. Date of Electronic Publication: 2023 Apr 06 (Print Publication: 2023).
Publication Year :
2023

Abstract

Animal models of disease are paramount to understand retinal development, the pathophysiology of eye diseases, and to study neurodegeneration using optical coherence tomography (OCT) data. In this study, we present a comprehensive normative database of retinal thickness in C57BL6/129S mice using spectral-domain OCT data. The database covers a longitudinal period of 16 months, from 1 to 16 months of age, and provides valuable insights into retinal development and changes over time. Our findings reveal that total retinal thickness decreases with age, while the thickness of individual retinal layers and layer aggregates changes in different ways. For example, the outer plexiform layer (OPL), photoreceptor inner segments (ILS), and retinal pigment epithelium (RPE) thickened over time, whereas other retinal layers and layer aggregates became thinner. Additionally, we compare the retinal thickness of wild-type (WT) mice with an animal model of Alzheimer's disease (3 × Tg-AD) and show that the transgenic mice exhibit a decrease in total retinal thickness compared to age-matched WT mice, with statistically significant differences observed at all evaluated ages. This normative database of retinal thickness in mice will serve as a reference for future studies on retinal changes in neurodegenerative and eye diseases and will further our understanding of the pathophysiology of these conditions.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2023 Batista, Guimarães, Martins, Moreira, Ambrósio, Castelo-Branco, Serranho and Bernardes.)

Details

Language :
English
ISSN :
1663-4365
Volume :
15
Database :
MEDLINE
Journal :
Frontiers in aging neuroscience
Publication Type :
Academic Journal
Accession number :
37091517
Full Text :
https://doi.org/10.3389/fnagi.2023.1161847