Extracellular vesicles protein cargo as targets for Alzheimer’s disease
Main Author: | |
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Publication Date: | 2024 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10773/42480 |
Summary: | Alzheimer’s Disease (AD) is a complex neurodegenerative disorder characterized by cognitive progressive decline, and the leading cause of dementia worldwide. The diagnosis of AD is challenging, and so far, there are no molecular tools based on peripheral biofluids available. Blood-derived extracellular vesicles (EVs) may constitute an accessible and non-invasive resource of biomarkers for AD. This project aimed to identify new biomarker candidates in EVs with diagnostic potential for AD from an antibody microarray analysis, which comprises pan- and phospho-specific antibodies. To identify EVs-enriched proteins which may constitute targets for AD 2 approaches were followed: i) an overlap with a list of genes related with AD from DisGeNET and ii) an overlap with a list of proteins also obtained by microarray analysis from AD cases. Further, protein-protein interaction networks were constructed, and the selected proteins/phosphoproteins, namely CTNNB1, RELA, PKM, GSK3α, MFN2, STAT1, and RAF1 tested in an AD-mimicking cell model. Alterations were observed in the levels of some targets tested, linked to AD pathological events, such as amyloid precursor protein (APP) processing, tau phosphorylation, neuroinflammation and synaptic dysfunction. Taken together, this thesis showed the potential of microarray analysis as an effective method for identifying AD-related targets. Further, the candidates identified are enriched in EVs and involved in several key pathogenic events, supporting their relevance as putative targets for AD diagnosis or therapeutics. |
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Extracellular vesicles protein cargo as targets for Alzheimer’s diseaseAlzheimer's diseaseExtracellular vesiclesBiomarkersAlzheimer’s Disease (AD) is a complex neurodegenerative disorder characterized by cognitive progressive decline, and the leading cause of dementia worldwide. The diagnosis of AD is challenging, and so far, there are no molecular tools based on peripheral biofluids available. Blood-derived extracellular vesicles (EVs) may constitute an accessible and non-invasive resource of biomarkers for AD. This project aimed to identify new biomarker candidates in EVs with diagnostic potential for AD from an antibody microarray analysis, which comprises pan- and phospho-specific antibodies. To identify EVs-enriched proteins which may constitute targets for AD 2 approaches were followed: i) an overlap with a list of genes related with AD from DisGeNET and ii) an overlap with a list of proteins also obtained by microarray analysis from AD cases. Further, protein-protein interaction networks were constructed, and the selected proteins/phosphoproteins, namely CTNNB1, RELA, PKM, GSK3α, MFN2, STAT1, and RAF1 tested in an AD-mimicking cell model. Alterations were observed in the levels of some targets tested, linked to AD pathological events, such as amyloid precursor protein (APP) processing, tau phosphorylation, neuroinflammation and synaptic dysfunction. Taken together, this thesis showed the potential of microarray analysis as an effective method for identifying AD-related targets. Further, the candidates identified are enriched in EVs and involved in several key pathogenic events, supporting their relevance as putative targets for AD diagnosis or therapeutics.A Doença de Alzheimer (DA) é um distúrbio neurodegenerativo complexo caracterizado por um declínio cognitivo progressivo, sendo a principal causa de demência em todo o mundo. O diagnóstico da DA é desafiante e, até ao momento, não existem ferramentas moleculares baseadas em biofluidos periféricos disponíveis. Vesículas extracelulares (VEs) derivadas do sangue podem constituir uma fonte acessível e não invasiva de biomarcadores para a DA. Esta tese teve como objetivo identificar novos candidatos a biomarcadores em VEs com potencial diagnóstico para a DA a partir de uma análise de microarray de anticorpos, que inclui anticorpos pan- e fosfo-específicos. Para identificar proteínas enriquecidas em VEs que possam constituir alvos para a DA, foram seguidas duas abordagens: i) uma sobreposição com uma lista de genes relacionados com a DA da DisGeNET e ii) uma sobreposição com uma lista de proteínas também obtidas por análise de microarray de casos de DA. Além disso, foram construídas redes de interação proteína-proteína e as proteínas/fosfoproteínas selecionadas, nomeadamente CTNNB1, RELA, PKM, GSK3α, MFN2, STAT1 e RAF1, foram testadas num modelo celular que mimetiza a DA. Foram observadas alterações nos níveis de alguns alvos testados, ligados a eventos patológicos da DA, como o processamento da proteína precursora de amiloide (PPA), fosforilação de tau, neuroinflamação e disfunção sináptica. Em conclusão, esta tese mostrou o potencial da análise de microarray como um método eficaz para identificar alvos relacionados com a DA. Além disso, os candidatos identificados são enriquecidos em VEs e estão envolvidos em vários eventos patogénicos, apoiando a sua relevância como possíveis alvos para diagnóstico ou terapêutica da DA.2026-07-19T00:00:00Z2024-07-11T00:00:00Z2024-07-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/42480engPinho, Beatriz Almeidainfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-09-23T01:46:47Zoai:ria.ua.pt:10773/42480Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:53:58.291733Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
title |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
spellingShingle |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease Pinho, Beatriz Almeida Alzheimer's disease Extracellular vesicles Biomarkers |
title_short |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
title_full |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
title_fullStr |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
title_full_unstemmed |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
title_sort |
Extracellular vesicles protein cargo as targets for Alzheimer’s disease |
author |
Pinho, Beatriz Almeida |
author_facet |
Pinho, Beatriz Almeida |
author_role |
author |
dc.contributor.author.fl_str_mv |
Pinho, Beatriz Almeida |
dc.subject.por.fl_str_mv |
Alzheimer's disease Extracellular vesicles Biomarkers |
topic |
Alzheimer's disease Extracellular vesicles Biomarkers |
description |
Alzheimer’s Disease (AD) is a complex neurodegenerative disorder characterized by cognitive progressive decline, and the leading cause of dementia worldwide. The diagnosis of AD is challenging, and so far, there are no molecular tools based on peripheral biofluids available. Blood-derived extracellular vesicles (EVs) may constitute an accessible and non-invasive resource of biomarkers for AD. This project aimed to identify new biomarker candidates in EVs with diagnostic potential for AD from an antibody microarray analysis, which comprises pan- and phospho-specific antibodies. To identify EVs-enriched proteins which may constitute targets for AD 2 approaches were followed: i) an overlap with a list of genes related with AD from DisGeNET and ii) an overlap with a list of proteins also obtained by microarray analysis from AD cases. Further, protein-protein interaction networks were constructed, and the selected proteins/phosphoproteins, namely CTNNB1, RELA, PKM, GSK3α, MFN2, STAT1, and RAF1 tested in an AD-mimicking cell model. Alterations were observed in the levels of some targets tested, linked to AD pathological events, such as amyloid precursor protein (APP) processing, tau phosphorylation, neuroinflammation and synaptic dysfunction. Taken together, this thesis showed the potential of microarray analysis as an effective method for identifying AD-related targets. Further, the candidates identified are enriched in EVs and involved in several key pathogenic events, supporting their relevance as putative targets for AD diagnosis or therapeutics. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-07-11T00:00:00Z 2024-07-11 2026-07-19T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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eng |
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