Viral antigen nanoparticles for discriminated and quantitative detection of different subtypes of anti-virus immunoglobulins

  • J. H. Kwon
  • , H. H. Kim
  • , H. B. Cho
  • , Y. J. Cha
  • , J. Lee*
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The aim of this study is to develop a novel method for the accurate diagnosis of the infection status of viral diseases, which requires discriminated and quantitative detection of different anti-virus immunoglubulin subtypes. Considering hepatitis A as a representative model disease, viral antigen nanoparticles (vAgNPs) were designed and synthesized by genetically presenting hepatitis A virus (HAV) antigens on the surface of human heavy chain ferritin (hFTH) nanoparticles to detect anti-HAV antibodies with discriminating immunoglobulin subtypes M and G (IgM and IgG, respectively). The vAgNPs also display multi-copies of hexa-histidine peptide (H6) on their surface to chemisorb gold ions (Au3+), which is vital for the autonomous generation of quantitatively meaningful detection signals. The quantitative level of anti-HAV IgM or IgG in 30 patient sera was successfully analyzed using the vAgNPs of HAV, which was performed through label-free one-step-immunoassay based on the self-enhancement of optical signals from gold nanoparticles clustered on the viral antigen nanoparticles. The diagnostic performance was compared with that of enzyme-linked immunosorbent assay (ELISA), which did not enable accurate quantitative assay due to the poor linearity between the antibody concentration and detection signal. Furthermore, these vAgNP-based immunoassays did not produce any false negative/positive signals, indicating 100% sensitivity and 100% specificity.

    Original languageEnglish
    Pages (from-to)18282-18289
    Number of pages8
    JournalNanoscale
    Volume11
    Issue number39
    DOIs
    Publication statusPublished - 2019 Oct 21

    Bibliographical note

    Funding Information:
    This work was supported by the w (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C3005771) and the Bio & Medical Technology Development Program (grant no. NRF-2017M3A9F5032628) of the National Research Foundation of Korea.

    Funding Information:
    This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2019R1A2C3005771) and the Bio & Medical Technology Development Program (grant no. NRF-2017M3A9F5032628) of the National Research Foundation of Korea.

    Publisher Copyright:
    © 2019 The Royal Society of Chemistry.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    ASJC Scopus subject areas

    • General Materials Science

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