Repository logo
 
Publication

Retinal imaging in animal models: searching for biomarkers of neurodegeneration

2023Journal article Open access
Simple item page
dc.contributor.authorBatista, Ana
dc.contributor.authorGuimarães, Pedro
dc.contributor.authorSerranho, Pedro
dc.contributor.authorNunes, Ana
dc.contributor.authorMartins, João
dc.contributor.authorMoreira, Paula I.
dc.contributor.authorAmbrósio, António F.
dc.contributor.authorMorgado, Miguel
dc.contributor.authorCastelo-Branco, Miguel
dc.contributor.authorBernardes, Rui
dc.date.accessioned2024-09-12T16:15:16Z
dc.date.available2024-09-12T16:15:16Z
dc.date.issued2023
dc.description.abstractThere is a pressing need for novel diagnostic and progression biomarkers of neurodegeneration. However, the inability to determine disease duration and stage in patients with Alzheimer’s disease (AD) hinders their discovery. Because animal models of disease allow us to circumvent some of these limitations, they have proven to be of paramount importance in clinical research. Due to the clear optics of the eye, the retina combined with optical coherence tomography (OCT) offers the perfect opportunity to image neurodegeneration in the retina in vivo, non-invasively, directly, quickly, and inexpensively. Based on these premises, our group has worked towards uncovering neurodegeneration-associated changes in the retina of the triple-transgenic mouse model of familial AD (3×Tg-AD). In this work, we present an overview of our work on this topic. We report on thickness variations of the retina and retinal layers/layer aggregates caused by healthy aging and AD-like conditions and discuss the implications of focusing research efforts solely on retinal thickness. We explore what other information is embedded in the OCT data, extracted based on texture analysis and deep-learning approaches, to further identify biomarkers that could be used for early detection and diagnosis. We were able to detect changes in the retina of the animal model of AD as early as 1 month of age. We also discuss our work to develop an optical coherence elastography system to measure retinal elasticity, which can be used in conjunction with conventional OCT. Finally, we discuss the potential application of these technologies in human patients and the steps needed to make OCT a helpful screening tool for the detection of neurodegeneration.pt_PT
dc.description.sponsorshipThis study was supported by The Portuguese Foundation for Science and Technology (FCT) through PTDC/EMD-EMD/28039/2017, UIDB/04950/2020, Pest-UID/NEU/04539/2019, PTDC/EMD-EMD/32162/2017, and by FEDER-COMPETE through POCI-01-0145-FEDER-028039.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3389/fopht.2023.1156605pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.2/16551
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCoimbra Institute for Biomedical Imaging and Translational Research
dc.relationOptical Coherence Elastography for imaging retina mechanical properties
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAlzheimer’s diseasept_PT
dc.subjectAgingpt_PT
dc.subjectOptical coherence tomographypt_PT
dc.subjectAnimal modelspt_PT
dc.subjectRretinal thicknesspt_PT
dc.subjectTexture analysispt_PT
dc.subjectDeep learningpt_PT
dc.titleRetinal imaging in animal models: searching for biomarkers of neurodegenerationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCoimbra Institute for Biomedical Imaging and Translational Research
oaire.awardTitleOptical Coherence Elastography for imaging retina mechanical properties
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FEMD-EMD%2F28039%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04950%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017/PTDC%2FEMD-EMD%2F32162%2F2017/PT
oaire.citation.titleFrontiers in Ophthalmologypt_PT
oaire.citation.volume3pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017
person.familyNameGuimarães
person.familyNameSerranho
person.familyNameAmbrósio
person.familyNameDias Cortesão dos Santos Bernardes
person.givenNamePedro
person.givenNamePedro
person.givenNameAntonio F
person.givenNameRui Manuel
person.identifier1587486
person.identifier171132
person.identifierM-4231-2013
person.identifier.ciencia-idC012-547B-1F6A
person.identifier.ciencia-id031F-5D62-E6EC
person.identifier.ciencia-id4E11-2573-20FE
person.identifier.ciencia-idDB19-B18E-690C
person.identifier.orcid0000-0002-9465-4413
person.identifier.orcid0000-0003-2176-3923
person.identifier.orcid0000-0002-0477-1641
person.identifier.orcid0000-0002-6677-2754
person.identifier.scopus-author-id56647722300
person.identifier.scopus-author-id7006302528
person.identifier.scopus-author-id7004634386
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationa81c586e-c0d6-4802-8917-e76fa37d5a56
relation.isAuthorOfPublicationc7f6eb4c-c743-4b38-83f5-70796c0851ca
relation.isAuthorOfPublication350b69b3-73a2-4c10-8e15-5534f9b04261
relation.isAuthorOfPublicationbf19e69a-da7f-4286-94e2-34acaacb4dda
relation.isAuthorOfPublication.latestForDiscoverya81c586e-c0d6-4802-8917-e76fa37d5a56
relation.isProjectOfPublicationb0c2b14e-b86d-4c84-86cf-7e10c1d42cfd
relation.isProjectOfPublicationec375bb8-8117-49ab-9d14-4bca5449e893
relation.isProjectOfPublication178bb6c6-a417-451b-8e00-7eb00f8be0be
relation.isProjectOfPublication.latestForDiscoveryb0c2b14e-b86d-4c84-86cf-7e10c1d42cfd

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2023_Batista_Retinal imaging in animal models Searching for.pdf
Size:
4.21 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.97 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Ciências e Tecnologia | Artigos em revistas internacionais / Papers in international journals