Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/78985
Título: | A phage-based platform to detect amyloid-beta oligomers |
Autor(es): | Lima, Alexandre de Graaff, Wim Aronica, Eleonora Martins, Ivone M. Azeredo, Joana Kessels, Helmut |
Data: | 18-Jul-2022 |
Citação: | Lima, Alexandre; de Graaff, Wim; Aronica, Eleonora; Martins, Ivone M.; Azeredo, Joana; Kessels, Helmut, A phage-based platform to detect amyloid-beta oligomers. VoM 2022 - Viruses of Microbes 2022. Guimarães, Portugal, June 17-22, 2022. |
Resumo(s): | Amyloid-beta (A) is a prime suspect to cause Alzheimers disease (AD). A peptides can aggregate into soluble oligomers and fibrils, to finally deposit in insoluble plaques. Even though the plaques are main hallmarks of Alzheimers, before plaque formation, the still-soluble A oligomers and fibrils are the culprits that trigger a loss in synapses and memory dysfunction. However, whereas we are well-able to identify A in plaques, we lack the tools to selectively target oligomeric/fibrillar A in the brain. Peptides with high affinity for A may be the answer to this problem, since they are already known to selectively bind oligomeric and fibrillar A, and even can inhibit A aggregation. However, peptides are very unstable and do not cross the blood-brain barrier (BBB). To overcome these limitations, we have used a M13 filamentous phage as vector to display A-specific peptides. Our results show that these engineered phages efficiently recognized A aggregates in brain samples of AD-model mice and of AD patients. This work demonstrates the unique ability of engineered M13 phages to selectively detect oligomeric/fibrillar A in brain samples, thus having a great potential for application in the diagnostics of early Alzheimers disease. |
Tipo: | Poster em conferência |
URI: | https://hdl.handle.net/1822/78985 |
Versão da editora: | https://www.vom2022.org/ |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CEB - Painéis em Conferências / Posters in Conferences |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_55643_1.pdf Acesso restrito! | 103,36 kB | Adobe PDF | Ver/Abrir |