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Advisor(s)
Abstract(s)
Alzheimer's disease (AD) is the most common dementia type and a leading cause of death and disability in the elderly. Diagnosis is expensive and invasive, urging the development of new, affordable, and less invasive diagnostic tools. The identification of changes in the expression of non-coding RNAs prompts the development of diagnostic tools to detect disease-specific blood biomarkers. Building on this idea, this work reports a novel electrochemical microRNA (miRNA) biosensor for the diagnosis of AD, based on carbon screen-printed electrodes (C-SPEs) modified with two gold nanostructures and a complementary anti-miR-34a oligonucleotide probe. This biosensor showed good target affinity, reflected on a 100 pM to 1 μM linearity range and a limit of detection (LOD) of 39 pM in buffer and 94 aM in serum. Moreover, the biosensor’s response was not affected by serum compounds, indicating selectivity for miR-34a. The biosensor also detected miR-34a in the cell culture medium of a common AD model, stimulated with a neurotoxin to increase miR-34a secretion. Overall, the proposed biosensor makes a solid case for the introduction of a novel, inexpensive, and minimally invasive tool for the early diagnosis of AD, based on the detection of a circulating miRNA overexpressed in this pathology.
Description
The authors acknowledge Joana Guerreiro, PhD for the expert advice provided on oligonucleotide-based biosensors. The authors also acknowledge the support of the i3S Scientific Platform Bioimaging, member of the national infrastructure PPBI - Portuguese Platform of Bioimaging (PPBI-POCI-01-0145-FEDER-022122) and to the projetct UID/EQU/04730/2020 - Center for Innovation in Engineering and Industrial Technology – CIETI.
Keywords
miRNA-34a Electrochemical biosensor Alzheimer’s disease Gold nanoparticles Carbon screen-printed electrodes
Citation
Raquel L. Pereira, Daniela Oliveira, Ana P. Pêgo, Sofia D. Santos, Felismina T.C. Moreira, Electrochemical miRNA-34a-based biosensor for the diagnosis of Alzheimer’s disease, Bioelectrochemistry, Volume 154, 2023, 108553, ISSN 1567-5394, https://doi.org/10.1016/j.bioelechem.2023.108553.
Publisher
Elsevier