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dc.contributor.authorSalobrar-García, Elena
dc.contributor.authorLópez-Cuenca, Inés
dc.contributor.authorSánchez-Puebla, Lídia
dc.contributor.authorde Hoz, Rosa
dc.contributor.authorFernández-Albarral, José A
dc.contributor.authorRamírez, Ana I
dc.contributor.authorBravo-Ferrer, Isabel
dc.contributor.authorMedina, Violeta
dc.contributor.authorMoro, Maria Angeles
dc.contributor.authorSaido, Takaomi C
dc.contributor.authorSaito, Takashi
dc.contributor.authorSalazar, Juan J
dc.contributor.authorRamírez, José M
dc.date.accessioned2021-08-26T11:39:23Z
dc.date.available2021-08-26T11:39:23Z
dc.date.issued2021-01-15
dc.identifier.citationFront Aging Neurosci. 2021; 12:625642es_ES
dc.identifier.issn1663-4365es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/13318
dc.description.abstractBackground: Alzheimer's disease (AD) may present retinal changes before brain pathology, suggesting the retina as an accessible biomarker of AD. The present work is a diachronic study using spectral domain optical coherence tomography (SD-OCT) to determine the total retinal thickness and retinal nerve fiber layer (RNFL) thickness in an APPNL-F/NL-F mouse model of AD at 6, 9, 12, 15, 17, and 20 months old compared to wild type (WT) animals. Methods: Total retinal thickness and RNFL thickness were determined. The mean total retinal thickness was analyzed following the Early Treatment Diabetic Retinopathy Study sectors. RNFL was measured in six sectors of axonal ring scans around the optic nerve. Results: In the APPNL-F/NL-F group compared to WT animals, the total retinal thickness changes observed were the following: (i) At 6-months-old, a significant thinning in the outer temporal sector was observed; (ii) at 15-months-old a significant thinning in the inner temporal and in the inner and outer inferior retinal sectors was noticed; (iii) at 17-months-old, a significant thickening in the inferior and nasal sectors was found in both inner and outer rings; and (iv) at 20-months-old, a significant thinning in the inner ring of nasal, temporal, and inferior retina and in the outer ring of superior and temporal retina was seen. In RNFL thickness, there was significant thinning in the global analysis and in nasal and inner-temporal sectors at 6 months old. Thinning was also found in the supero-temporal and nasal sectors and global value at 20 months old. Conclusions: In the APPNL-F/NL-F AD model, the retinal thickness showed thinning, possibly produced by neurodegeneration alternating with thickening caused by deposits and neuroinflammation in some areas of the retina. These changes over time are similar to those observed in the human retina and could be a biomarker for AD. The APPNL-F/NL-F AD model may help us better understand the different retinal changes during the progression of AD.es_ES
dc.description.sponsorshipThis research was funded by the Ophthalmological Network OFTARED (RD16/0008/0005) of the Institute of Health of Carlos III of the Spanish Ministry of Science and Innovation; and the Research Network RETIBRAIN (RED2018-102499-T) and Grant PID2019-106581RB-I00 of the Spanish Ministry of Science and Innovation; and Leducq Foundation for Cardiovascular Research TNE-19CVD01. IL-C was currently supported by a Pre-doctoral Fellowship (CT42/18-CT43/18) from the Complutense University of Madrid. JF-A was currently supported by a Pre-doctoral Fellowship (FPU17/01023) from the Spanish Ministry of Science, Innovation, and Universities.es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleRetinal Thickness Changes Over Time in a Murine AD Model APP NL-F/NL-F.es_ES
dc.typeArtículoes_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID33542683es_ES
dc.format.volume12es_ES
dc.format.page625642es_ES
dc.identifier.doi10.3389/fnagi.2020.625642es_ES
dc.contributor.funderInstituto de Salud Carlos III - ISCIII
dc.contributor.funderMinisterio de Ciencia e Innovación (España)
dc.contributor.funderLeducq Foundation
dc.contributor.funderUniversidad Complutense de Madrid (España)
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)
dc.description.peerreviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.3389/fnagi.2020.625642es_ES
dc.identifier.journalFrontiers in aging neurosciencees_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Fisiopatología Cardiovascular Molecular y Genéticaes_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/RD16/0008/0005es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/RED2018-102499-Tes_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PID2019-106581RB-I00es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/CT42/18-CT43/18es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/FPU17/01023es_ES


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Atribución 4.0 Internacional
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