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A CRISPR-based ultrasensitive assay detects attomolar concentrations of SARS-CoV-2 antibodies in clinical samples

Author

Listed:
  • Yanan Tang

    (Sichuan University)

  • Turun Song

    (Sichuan University)

  • Lu Gao

    (Sichuan University)

  • Saifu Yin

    (Sichuan University)

  • Ming Ma

    (Sichuan University)

  • Yun Tan

    (Sichuan University)

  • Lijuan Wu

    (Sichuan University)

  • Yang Yang

    (Second Hospital Affiliated to Southern University of Science and Technology)

  • Yanqun Wang

    (the First Affiliated Hospital of Guangzhou Medical University)

  • Tao Lin

    (Sichuan University)

  • Feng Li

    (Sichuan University
    Brock University, St. Catharines)

Abstract

CRISPR diagnostics are powerful tools for detecting nucleic acids but are generally not deployable for the detection of clinically important proteins. Here, we report an ultrasensitive CRISPR-based antibody detection (UCAD) assay that translates the detection of anti-SARS-CoV-2 antibodies into CRISPR-based nucleic acid detection in a homogeneous solution and is 10,000 times more sensitive than the classic immunoassays. Clinical validation using serum samples collected from the general population (n = 197), demonstrates that UCAD has 100% sensitivity and 98.5% specificity. With ultrahigh sensitivity, UCAD enables the quantitative analysis of serum anti-SARS-CoV-2 levels in vaccinated kidney transplant recipients who are shown to produce “undetectable” anti-SARS-CoV-2 using standard immunoassay. Because of the high sensitivity and simplicity, we anticipate that, upon further clinical validation against large cohorts of clinical samples, UCAD will find wide applications for clinical uses in both centralized laboratories and point-of-care settings.

Suggested Citation

  • Yanan Tang & Turun Song & Lu Gao & Saifu Yin & Ming Ma & Yun Tan & Lijuan Wu & Yang Yang & Yanqun Wang & Tao Lin & Feng Li, 2022. "A CRISPR-based ultrasensitive assay detects attomolar concentrations of SARS-CoV-2 antibodies in clinical samples," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32371-4
    DOI: 10.1038/s41467-022-32371-4
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    1. Vincenzo Bronte & Sven Brandau & Shu-Hsia Chen & Mario P. Colombo & Alan B. Frey & Tim F. Greten & Susanna Mandruzzato & Peter J. Murray & Augusto Ochoa & Suzanne Ostrand-Rosenberg & Paulo C. Rodrigue, 2016. "Recommendations for myeloid-derived suppressor cell nomenclature and characterization standards," Nature Communications, Nature, vol. 7(1), pages 1-10, November.
    2. Corine H. GeurtsvanKessel & Nisreen M. A. Okba & Zsofia Igloi & Susanne Bogers & Carmen W. E. Embregts & Brigitta M. Laksono & Lonneke Leijten & Casper Rokx & Bart Rijnders & Janette Rahamat-Langendoe, 2020. "An evaluation of COVID-19 serological assays informs future diagnostics and exposure assessment," Nature Communications, Nature, vol. 11(1), pages 1-5, December.
    3. Zhong Yao & Luka Drecun & Farzaneh Aboualizadeh & Sun Jin Kim & Zhijie Li & Heidi Wood & Emelissa J. Valcourt & Kathy Manguiat & Simon Plenderleith & Lily Yip & Xinliu Li & Zoe Zhong & Feng Yun Yue & , 2021. "A homogeneous split-luciferase assay for rapid and sensitive detection of anti-SARS CoV-2 antibodies," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
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