resumo
Background: Alzheimer's disease (AD) diagnosis is difficult, and new accurate tools based on peripheral biofluids are urgently needed. Extracellular vesicles (EVs) emerged as a valuable source of biomarker profiles for AD, since their cargo is disease-specific and these can be easily isolated from easily accessible biofluids, as blood. Fourier Transform Infrared (FTIR) spectroscopy can be employed to analyze EVs and obtain the spectroscopic profiles from different regions of the spectra, simultaneously characterizing carbohydrates, nucleic acids, proteins, and lipids. Objective: The aim of this studywas to identify blood-derived EVs (bdEVs) spectroscopic signatures withADdiscriminatory potential. Methods: Herein, FTIR spectra of bdEVs from two biofluids (serum and plasma) and distinct sets of Controls and AD cases were acquired, and EVs' spectra analyzed. Results: Analysis of bdEVs second derivative peaks area revealed differences between Controls and AD cases in distinct spectra regions, assigned to carbohydrates and nucleic acids, amides, and lipids. Conclusions: EVs' spectroscopic profiles presented AD discriminatory value, supporting the use of bdEVs combined with FTIR as a screening or complementary tool for AD diagnosis.
palavras-chave
TRANSFORM INFRARED-SPECTROSCOPY; CEREBROSPINAL-FLUID; PROTEIN AGGREGATION; DIAGNOSIS; CANCER; SERUM; BIOMARKERS; BRAINS; AMIDE
categoria
Neurosciences & Neurology
autores
Martins, TS; Ferreira, M; Magalhaes, S; Leandro, K; de Almeida, LP; Vogelgsang, J; Breitling, B; Hansen, N; Esselmann, H; Wiltfang, J; Silva, OABDE; Nunes, A; Henriques, AG
nossos autores
Sandra Vicência Martins Magalhães
Estudante de doutoramentoagradecimentos
This work was funded by the Alzheimer's Association under Grant 2019-AARG-644347 and supported by Instituto de Biomedicina (iBiMED) under Grant UIDB/04501/2020, UIDP/04501/2020, the ADPro - CENTRO-01-0145-FEDER-181255 Portugal 2020; the Fundacao para a Ciencia e Tecnologia (FCT) of the Ministerio da Educacao e Ciencia, COMPETE program; the QREN and the European Union (Fundo Europeu de Desenvolvimento Regional). JV was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant 413501650; TSM is supported by FCT under the individual PhD grant SFRH/BD/145979/2019. JW is supported by an Ilidio Pinho professorship at University of Aveiro.