Early diagnosis with ultrasensitive ELISA

Etsuro Ito, Kanako Iha, Teruki Yoshimura, Kazunari Nakaishi, Satoshi Watabe

Research output: Chapter in Book/Report/Conference proceedingChapter


Accurate, rapid and simple detection methods are required to facilitate early diagnosis of various disorders including infectious and lifestyle diseases as well as cancer. These detection approaches reduce the window of infection, i.e., the period between infection and reliable detection. Optimally, these methods should target protein as an indicator of pathogenic microbes as well as other biomarkers. For example, although nucleic acid is easily detected by polymerase chain reaction (PCR), these markers are also present in dead microbes, and, in the case of mRNA, it is not known whether this target was successfully translated. Accordingly, early diagnostic approaches require the development of ultrasensitive protein detection methods. In this chapter, we introduce an ultrasensitive enzyme-linked immunosorbent assay (ELISA) which combines a traditional sandwich-based immunoassay with thionicotinamide adenine dinucleotide (thio-NAD) cycling. The performance characteristics of this unique approach are reviewed as well as its potential role in providing a novel and ultrasensitive diagnostic tool in the clinical laboratory.

Original languageEnglish
Title of host publicationAdvances in Clinical Chemistry
PublisherAcademic Press Inc.
Publication statusAccepted/In press - 2020

Publication series

NameAdvances in Clinical Chemistry
ISSN (Print)0065-2423
ISSN (Electronic)2162-9471


  • Cancer marker
  • Infectious disease
  • Lifestyle disease
  • Non-amplification nucleic acid detection
  • Single-cell detection
  • Ultrasensitive ELISA
  • Window period

ASJC Scopus subject areas

  • Chemistry(all)
  • Clinical Biochemistry

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    Ito, E., Iha, K., Yoshimura, T., Nakaishi, K., & Watabe, S. (Accepted/In press). Early diagnosis with ultrasensitive ELISA. In Advances in Clinical Chemistry (Advances in Clinical Chemistry). Academic Press Inc.. https://doi.org/10.1016/bs.acc.2020.06.002