Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33588
Title: The AppNL-G-F mouse retina is a site for preclinical Alzheimer’s disease diagnosis and research
Authors: Vandenabeele, Marjan
Veys, Lien
Lemmens, Sophie
Hadoux, Xavier
Gelders, Geraldine
Masin, Luca
Serneels, Lutgarde
THEUNIS, Jan 
Saito, Takashi
Saido, Takaomi C.
Jayapala, Murali
DE BOEVER, Patrick 
De Strooper, Bart
Stalmans, Ingeborg
van Wijngaarden, Peter
Moons, Lieve
De Groef, Lies
Issue Date: 2021
Publisher: BMC
Source: Acta Neuropathologica Communications, 9 (1) (Art N° 6)
Abstract: In this study, we report the results of a comprehensive phenotyping of the retina of the App(NL-G-F) mouse. We demonstrate that soluble A beta accumulation is present in the retina of these mice early in life and progresses to A beta plaque formation by midlife. This rising A beta burden coincides with local microglia reactivity, astrogliosis, and abnormalities in retinal vein morphology. Electrophysiological recordings revealed signs of neuronal dysfunction yet no overt neurodegeneration was observed and visual performance outcomes were unaffected in the App(NL-G-F) mouse. Furthermore, we show that hyperspectral imaging can be used to quantify retinal A beta, underscoring its potential as a biomarker for AD diagnosis and monitoring. These findings suggest that the App(NL-G-F) retina mimics the early, preclinical stages of AD, and, together with retinal imaging techniques, offers unique opportunities for drug discovery and fundamental research into preclinical AD.
Notes: De Groef, L (corresponding author), Univ Leuven KU Leuven, Dept Biol, Neural Circuit Dev & Regenerat Res Grp, Naamsestr 61,Box 2464, B-3000 Leuven, Belgium.
Lies.Degroef@kuleuven.be
Other: De Groef, L (corresponding author), Univ Leuven KU Leuven, Dept Biol, Neural Circuit Dev & Regenerat Res Grp, Naamsestr 61,Box 2464, B-3000 Leuven, Belgium. Lies.Degroef@kuleuven.be
Keywords: Alzheimer's disease;Mouse model;Retina;Retinal imaging;Electroretinogram;Hyperspectral imaging
Document URI: http://hdl.handle.net/1942/33588
ISSN: 2051-5960
e-ISSN: 2051-5960
DOI: 10.1186/s40478-020-01102-5
ISI #: WOS:000610162800005
Rights: The Author(s) 2021. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or ther third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativeco mmons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
10.1186_s40478-020-01102-5.pdfPublished version10.78 MBAdobe PDFView/Open
Show full item record

WEB OF SCIENCETM
Citations

23
checked on Apr 22, 2024

Page view(s)

20
checked on Sep 5, 2022

Download(s)

8
checked on Sep 5, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.