Quantitatively detecting Candida albicans enolase1 with a one-step double monoclonal antibody sandwich ELISA assay

Jingzi Piao1, Ning Li2, Lina Zhang3

  • 1College of Plant Protection, Shenyang Agricultural University, Shenyang, Liaoning, China.

Insights

A new enzyme-linked immunosorbent assay (ELISA) detects Candida albicans enolase1 (CaEno1) for invasive candidiasis (IC) diagnosis. This CaEno1 assay shows improved diagnostic efficiency over existing methods in a rabbit model.

Area of Science:

  • Medical Microbiology
  • Immunology
  • Biotechnology

Background:

  • Invasive candidiasis (IC) poses a significant threat to hospitalized patients, especially the critically ill.
  • Current laboratory diagnostic techniques for IC are insufficient, complicating disease management.
  • Early and accurate diagnosis is crucial for effective treatment of IC.

Purpose of the Study:

  • To develop and validate a novel diagnostic assay for invasive candidiasis.
  • To quantitatively detect Candida albicans enolase1 (CaEno1) as a potential biomarker for IC.
  • To evaluate the diagnostic efficiency of the developed assay compared to existing methods.

Main Methods:

  • Development of a one-step double antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA).
  • Utilized specific monoclonal antibodies (mAbs) for the detection of CaEno1.
  • Validated the assay using a rabbit model of systemic candidiasis and compared results with (1,3)-β-D-glucan detection and blood culture.

Main Results:

  • The developed DAS-ELISA demonstrated sensitivity, reliability, and feasibility.
  • CaEno1 detection assay showed superior diagnostic efficiency compared to (1,3)-β-D-glucan and blood culture in the rabbit model.
  • CaEno1 was detected transiently and at low levels in infected rabbit plasma.

Conclusions:

  • The CaEno1 detection assay is a promising tool for diagnosing invasive candidiasis.
  • Combining CaEno1 antigen and IgG antibody detection may enhance diagnostic accuracy.
  • Further technical development is needed to improve the detection limit for broader clinical application.