journal article·2024-02Open access

Silicon‐Based Sensing Surface for Alzheimer's Disease Diagnosis by Phages Probes

Paolo Calorenni, Vincenzo Paratore, Maria G. Rizzo, Laura M. De Plano, Guglielmo G. Condorelli, Giovanna De Luca, Salvatore Oddo, Salvatore Guglielmino, Emanuele L. Sciuto, Sabrina Conoci

Advanced Materials Interfaces· Volume 11· Issue 4

Abstract

Abstract Alzheimer's disease (AD) is a diffused neurodegenerative disorder affecting people in advanced age causing loss of memory and dementia. Nowadays, diagnosis and treatment of AD are still challenging due to the lack of diagnostic systems that allow for an early and reliable diagnosis and therapy monitoring. Moreover, conventional strategies for AD diagnosis are based on brain imaging techniques that are invasive and expensive for early and massive screening. Phage display approach, using engineered phage probe for direct amyloid‐β (Aβ)‐autoantibodies detection, overcome these limitations leading to the possibility of safe and low‐cost screening. Moreover, the combination with silicon technology further improves the easiness of diagnosis due to the portability of devices and the integration of sensitive transduction signals. In this work, an innovative silicon‐based sensing technology is reported detecting Aβ‐autoantibodies, specifically Immunoglobulin G (IgG), in human sera by engineered M13‐phage probes (ADPP). The strategy hinges on a bio‐surface that is integrated on top of a silicon biosensor. Thanks to phages probes exposing Aβ‐mimic peptides, this chip can capture and reveal Aβ‐autoantibodies, discriminating between healthy and AD conditions. The surface chemistry is morphologically and chemically characterized and the phage‐based biosensor ability to recognise Aβ‐autoantibodies is proved by transduction with enzyme‐linked anti‐M13 antibodies.
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Research context

OpenAlex topics: Monoclonal and Polyclonal Antibodies Research · Advanced Biosensing Techniques and Applications · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemical Biological Pharmaceutical and Environmental Sciences University of Messina Viale F. Stagno D'Alcontres 37 Messina 98166 Italy

Department of Chemical Sciences University of Catania Viale Andrea Doria, 6 Catania 95125 Italy

Department of Chemistry ‘‘Giacomo Ciamician’’ University of Bologna Via Selmi 2 Bologna 40126 Italy

URT Lab Sens Beyond Nano – CNR‐DSFTM Department of Physical Sciences and Technologies of Matter University of Messina Viale F. Stagno D'Alcontres 37 Messina 98158 Italy

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