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A novel quantitative double antigen sandwich ELISA for detecting total antibodies against Candida albicans enolase 1

Lihui Wang1, Zongzhong He2, Yiyang Guo3

  • 1Department of Nephrology, Bethune International Peace Hospital, No.398 West Zhongshan Road, Shijiazhuang, Hebei, 050082, P.R. China.

European Journal of Clinical Microbiology & Infectious Diseases : Official Publication of the European Society of Clinical Microbiology
|July 16, 2024
PubMed

Insights

A new double antigen sandwich ELISA (DAgS-ELISA) method accurately detects antibodies against Candida albicans enolase1 (CaEno1), offering a promising tool for diagnosing invasive candidiasis (IC). This method shows improved performance over traditional ELISA.

Area of Science:

  • Immunology
  • Infectious Diseases
  • Biotechnology

Background:

  • Invasive candidiasis (IC) diagnosis requires sensitive and specific methods.
  • Current diagnostic tools may lack efficiency and quantitative accuracy.
  • Antibodies against Candida albicans enolase1 (CaEno1) are potential biomarkers for IC.

Purpose of the Study:

  • To develop a double antigen sandwich ELISA (DAgS-ELISA) for detecting total antibodies against CaEno1.
  • To achieve more efficient, accurate, and quantitative antibody detection for IC diagnosis.
  • To evaluate the diagnostic potential of CaEno1 antibodies in IC.

Main Methods:

  • Development of DAgS-ELISA using recombinant CaEno1 and a monoclonal antibody.
  • Performance assessment including limit of detection, accuracy, and repeatability.
  • Analysis of dynamic antibody changes in murine models of candidiasis and patient serum samples (IC, colonization, bacterial infections, healthy controls) using DAgS-ELISA and indirect ELISA.

Main Results:

  • DAgS-ELISA demonstrated superior linear range and lower test background compared to indirect ELISA.
  • A unique 'double-peak' pattern in dynamic CaEno1 antibody levels was observed in mice with systemic candidiasis.
  • Consistent detection rates of CaEno1 antibodies were found between DAgS-ELISA and indirect ELISA, though positivity rates varied across patient groups.

Conclusions:

  • DAgS-ELISA provides a reliable and novel method for the rapid, accurate, and quantitative diagnosis of IC.
  • The developed assay enables effective detection of CaEno1 antibodies.
  • Further clinical validation and optimization are necessary for widespread application.
Abstract

Keywords:
Candida albicans enolaseAntibody quantitative detectionDouble antigen sandwich ELISAInvasive candidiasisSerological diagnosis

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