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Impact of seed amplification assay and surface-enhanced Raman spectroscopy combined approach on the clinical diagnosis of Alzheimer's disease

Title: Impact of seed amplification assay and surface-enhanced Raman spectroscopy combined approach on the clinical diagnosis of Alzheimer's disease
Authors: D'Andrea C; Cazzaniga FA; Bistaffa E; Barucci A; de Angelis M; Banchelli M; Farnesi E; Polykretis P; Marzi C; Indaco A; Tiraboschi P; Giaccone G; Matteini P; Moda F
Contributors: C. D'Andrea; F. Cazzaniga; E. Bistaffa; A. Barucci; M. de Angeli; M. Banchelli; E. Farnesi; P. Polykreti; C. Marzi; A. Indaco; P. Tiraboschi; G. Giaccone; P. Matteini; F. Moda
Publisher Information: BioMed Central
Publication Year: 2023
Collection: The University of Milan: Archivio Istituzionale della Ricerca (AIR)
Subject Terms: Alzheimer’s disease; Amyloid-β protein; Seed amplification assay; Surface-enhanced Raman spectroscopy; Settore BIOS-07/A - Biochimica; Settore BIOS-08/A - Biologia molecolare; Settore BIOS-09/A - Biochimica clinica e biologia molecolare clinica; Settore BIOS-10/A - Biologia cellulare e applicata; Settore MEDS-12/A - Neurologia
Description: Background: The current diagnosis of Alzheimer’s disease (AD) is based on a series of analyses which involve clinical, instrumental and laboratory findings. However, signs, symptoms and biomarker alterations observed in AD might overlap with other dementias, resulting in misdiagnosis. Methods: Here we describe a new diagnostic approach for AD which takes advantage of the boosted sensitivity in biomolecular detection, as allowed by seed amplification assay (SAA), combined with the unique specificity in biomolecular recognition, as provided by surface-enhanced Raman spectroscopy (SERS). Results: The SAA-SERS approach supported by machine learning data analysis allowed efficient identification of pathological Aβ oligomers in the cerebrospinal fluid of patients with a clinical diagnosis of AD or mild cognitive impairment due to AD. Conclusions: Such analytical approach can be used to recognize disease features, thus allowing early stratification and selection of patients, which is fundamental in clinical treatments and pharmacological trials.
Document Type: article in journal/newspaper
Language: English
Relation: info:eu-repo/semantics/altIdentifier/pmid/37438825; info:eu-repo/semantics/altIdentifier/wos/WOS:001029186400001; volume:12; issue:1; firstpage:1; lastpage:12; numberofpages:12; journal:TRANSLATIONAL NEURODEGENERATION; https://hdl.handle.net/2434/1119316
DOI: 10.1186/s40035-023-00367-9
Availability: https://hdl.handle.net/2434/1119316; https://doi.org/10.1186/s40035-023-00367-9
Rights: info:eu-repo/semantics/openAccess
Accession Number: edsbas.7200C495
Database: BASE