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

Author

Listed:
  • Sojeong Lee

    (Yonsei University)

  • Eunjung Kim

    (Incheon National University
    Research Center for Bio Materials and Process Development, Incheon National University)

  • Chae-Eun Moon

    (Yonsei University College of Medicine)

  • Chaewon Park

    (Yonsei University)

  • Jong-Woo Lim

    (Yonsei University)

  • Minseok Baek

    (Yonsei University Wonju College of Medicine)

  • Moo-Kwang Shin

    (Yonsei University)

  • Jisun Ki

    (Yonsei University)

  • Hanna Cho

    (Gangnam Severance Hospital, Yonsei University College of Medicine)

  • Yong Woo Ji

    (Yonsei University College of Medicine)

  • Seungjoo Haam

    (Yonsei University)

Abstract

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 (R2 = 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.

Suggested Citation

  • Sojeong Lee & Eunjung Kim & Chae-Eun Moon & Chaewon Park & Jong-Woo Lim & Minseok Baek & Moo-Kwang Shin & Jisun Ki & Hanna Cho & Yong Woo Ji & Seungjoo Haam, 2023. "Amplified fluorogenic immunoassay for early diagnosis and monitoring of Alzheimer’s disease from tear fluid," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43995-5
    DOI: 10.1038/s41467-023-43995-5
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    References listed on IDEAS

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    1. Ella Borberg & Eran Granot & Fernando Patolsky, 2022. "Ultrafast one-minute electronic detection of SARS-CoV-2 infection by 3CLpro enzymatic activity in untreated saliva samples," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. Kayoung Kim & Min-Ji Kim & Da Won Kim & Su Yeong Kim & Steve Park & Chan Beum Park, 2020. "Clinically accurate diagnosis of Alzheimer’s disease via multiplexed sensing of core biomarkers in human plasma," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
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