Rapid oxidative release of fungal mannan for detection by immunoassay.

Detection of fungal cells in infected tissue by procedures such as potassium hydroxide (KOH) microscopy and histopathology are well-established methods in medical mycology. However, microscopy requires skilled personnel, specialized equipment, and may take considerable time to a result. An alternative approach is immunoassay for detection of fungal mannans in tissue as a biomarker for the presence of fungal cells. However, mannan is a component of the fungal cell wall, and detection of mannan would require a facile means for mannan extraction prior to detection by immunoassay. In this study, we evaluated a broad spectrum of extraction reagents using Trichophyton rubrum mycelia and Saccharomyces cerevisiae Mnn2 blastoconidia as model fungi. Oxidative release by treatment with dilute bleach proved to be a novel and highly effective procedure. Complete extraction occurred in as little as 2-4 min. Detergents, chaotropes, and acid were ineffective. Strong base released mannan but was less efficient than oxidative release and required the use of highly corrosive reagents. Oxidative release of cell wall mannans from fungal mycelia and blastoconidia may be an effective first step in immunodetection of fungi in tissues from infected humans, animals, or plants that could be done at or near the diagnostic point of need.

Mannans are components of the fungal cell wall that play a role in disease production and are potential biomarkers for the diagnosis of infection. Oxidative release of mannans from intact cell walls is a novel method for mannan extraction that is rapid, uses relatively mild reagents, and yields soluble mannans that are readily detected by immunoassay.

Multi-platform Approach for Microbial Biomarker Identification Using Borrelia burgdorferi as a Model.

The identification of microbial biomarkers is critical for the diagnosis of a disease early during infection. However, the identification of reliable biomarkers is often hampered by a low concentration of microbes or biomarkers within host fluids or tissues. We have outlined a multi-platform strategy to assess microbial biomarkers that can be consistently detected in host samples, using Borrelia burgdorferi, the causative agent of Lyme disease, as an example. Key aspects of the strategy include the selection of a macaque model of human disease, in vivo Microbial Antigen Discovery (InMAD), and proteomic methods that include microbial biomarker enrichment within samples to identify secreted proteins circulating during infection. Using the described strategy, we have identified 6 biomarkers from multiple samples. In addition, the temporal antibody response to select bacterial antigens was mapped. By integrating biomarkers identified from early infection with temporal patterns of expression, the described platform allows for the data driven selection of diagnostic targets.