Amplified fluorogenic immunoassay for early diagnosis and monitoring of Alzheimer’s disease from tear fluid

Accurate diagnosis of Alzheimer’s disease (AD) in its earliest stage can prevent the disease and delay the symptoms. Therefore, more sensitive, non-invasive, and simple screening tools are required for the early diagnosis and monitoring of AD. Here, we design a self-assembled nanoparticle-mediated a...

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Published in:Nature communications Vol. 14; no. 1; p. 8153
Main Authors: Lee, Sojeong, Kim, Eunjung, Moon, Chae-Eun, Park, Chaewon, Lim, Jong-Woo, Baek, Minseok, Shin, Moo-Kwang, Ki, Jisun, Cho, Hanna, Ji, Yong Woo, Haam, Seungjoo
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 09-12-2023
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Summary:Accurate diagnosis of Alzheimer’s disease (AD) in its earliest stage can prevent the disease and delay the symptoms. Therefore, more sensitive, non-invasive, and simple screening tools are required for the early diagnosis and monitoring of AD. Here, we design a self-assembled nanoparticle-mediated amplified fluorogenic immunoassay (SNAFIA) consisting of magnetic and fluorophore-loaded polymeric nanoparticles. Using a discovery cohort of 21 subjects, proteomic analysis identifies adenylyl cyclase-associated protein 1 (CAP1) as a potential tear biomarker. The SNAFIA demonstrates a low detection limit (236 aM), good reliability (R 2  = 0.991), and a wide analytical range (0.320–1000 fM) for CAP1 in tear fluid. Crucially, in the verification phase with 39 subjects, SNAFIA discriminates AD patients from healthy controls with 90% sensitivity and 100% specificity in under an hour. Utilizing tear fluid as a liquid biopsy, SNAFIA could potentially aid in long-term care planning, improve clinical trial efficiency, and accelerate therapeutic development for AD. Accurate diagnosis of Alzheimer’s disease in its earliest stage can prevent the disease and delay the symptoms. Here the authors identify a potential Alzheimer’s biomarker from tear fluid, and develop a nanoparticle-based immunoassay for its detection, demonstrating potential in Alzheimer’s diagnosis.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-023-43995-5