1. A novel quantitative double antigen sandwich ELISA for detecting total antibodies against Candida albicans enolase 1.
- Author
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Wang L, He Z, Guo Y, Ran X, Cheng Y, and He Z
- Subjects
- Animals, Mice, Humans, Candidiasis, Invasive diagnosis, Candidiasis, Invasive immunology, Candidiasis, Invasive blood, Female, Candidiasis diagnosis, Candidiasis blood, Candidiasis immunology, Antigens, Fungal immunology, Antigens, Fungal blood, Sensitivity and Specificity, Fungal Proteins immunology, Antibodies, Monoclonal immunology, Mice, Inbred BALB C, Enzyme-Linked Immunosorbent Assay methods, Phosphopyruvate Hydratase immunology, Phosphopyruvate Hydratase blood, Candida albicans immunology, Antibodies, Fungal blood
- Abstract
Purpose: This study aimed to develop a double antigen sandwich ELISA (DAgS-ELISA) method for more efficient, accurate, and quantitative detection of total antibodies against Candida albicans enolase1 (CaEno1) for diagnosing invasive candidiasis (IC)., Methods: DAgS-ELISA was developed using recombinant CaEno1 and a monoclonal antibody as the standard. Performance evaluation included limit of detection, accuracy, and repeatability. Dynamic changes in antibody levels against CaEno1 in serum from systemic candidiasis mice were analyzed using DAgS-ELISA. Patient serum samples from IC, Candida colonization, bacterial infections, and healthy controls were analyzed with DAgS-ELISA and indirect ELISA., Results: DAgS-ELISA outperformed indirect ELISA in terms of linear range and test background. In systemic candidiasis mice, a distinctive 'double-peak' pattern in dynamic antibody levels was observed. Additionally, there was a high level of consistency in the positive rates of CaEno1 antibodies detected by both DAgS-ELISA and indirect ELISA. While the positivity rates differed among patient groups, no significant variations in antibody levels were detected among the various positive patient groups., Conclusions: DAgS-ELISA offers a reliable novel approach for IC diagnosis, enabling rapid, accurate, and quantitative detection of CaEno1 antibodies. Further validation and optimization are needed for its clinical application and effectiveness., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
- Published
- 2024
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