Ultrasensitive protein-level detection for respiratory infectious viruses

Front Immunol. 2024 Dec 2:15:1445771. doi: 10.3389/fimmu.2024.1445771. eCollection 2024.

Abstract

Influenza virus, adenovirus, and respiratory syncytial virus cause major respiratory infections. These infections have similar initial symptoms making it difficult to differentiate them based on symptoms alone. PCR is currently used as the standard diagnostic test for these infections, however, it has its limitations such as non-specific and false-negative amplifications, high cost, and the inability to distinguish between a live or dead virus. Therefore, there is a need for alternative diagnostic methods that focus on protein. Here, we introduce TN-cyclon™, which is an enzyme-linked immunosorbent assay combined with thio-nicotinamide adenine dinucleotide cycling to amplify signals, rather than the protein itself. Using this method, we were able to detect extremely low levels of viruses such as influenza A, influenza B, adenovirus, and RS virus, with LODs of 2.96 × 10-18 moles/assay, 2.98 × 10-18 moles/assay, 2.36 × 10-18 moles/assay, and 3.55 × 10-18 moles/assay, respectively. Furthermore, we successfully detected viruses diluted with extract buffer, with a significant difference to the blank at concentrations of 3 pfu/mL for influenza A, 1000 pfu/mL for influenza B, 43.8 pfu/mL for adenovirus, and 125 pfu/mL for RS virus. This shows that our low-cost and easy-to-use technique has sufficient sensitivity in diagnosing respiratory infections.

Keywords: adenovirus; influenza virus; protein detection assay; respiratory syncytial virus; thio-NAD cycling; ultrasensitive ELISA.

MeSH terms

  • Enzyme-Linked Immunosorbent Assay* / methods
  • Humans
  • Influenza A virus
  • Respiratory Syncytial Viruses / isolation & purification
  • Respiratory Tract Infections* / diagnosis
  • Respiratory Tract Infections* / virology
  • Sensitivity and Specificity
  • Virus Diseases / diagnosis

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research received financial support from BioPhenoMA Inc. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article of the decision to submit it for publication.