Detection of Galactofuranose-Containing Antigens Associated With Aspergillus Extracellular Vesicles in Urine: The Biological Basis of a New Diagnostic for Aspergillosis
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Establishing diagnosis of pulmonary infections caused by Aspergillus spp., invasive aspergillosis (IA), is difficult. We developed a urinary assay (MycoMEIA-Aspergillus) that deploys novel monoclonal antibodies (mAbs). We describe the biology of urinary antigens and performance as an aid to diagnose IA. METHODS: Urine samples from people with IA were screened with β-D-galactofuranose (Galf)-specific mAbs for optimal design. Epitope specificity of mAbs was characterized using synthesized Galf-oligomers. Antigens recognized by Galf-specific mAb476 were characterized by immunoprecipitation followed by mass spectrometry and immunogold transmission electron microscopy (ITEM). Assay performance was determined with 920 urine samples from 310 people. RESULTS: Combining N-glycan-recognizing mAb476 with a galactomannan (GM)-specific mAb optimized performance across samples. Urine samples from people with IA contained multiple mAb476-reactive Aspergillus proteins, with prominent localization on or within Aspergillus extracellular vesicles (EVs). MycoMEIA receiver operating characteristic curves demonstrated area under curve of 0.97 (95% CI .93-1, P < .0001). Per-subject sensitivity was 91.2% (95% CI 76%-98%) and specificity was 89.2% (95% CI 82%-94%), with performance aligned diagnosis. CONCLUSIONS: The new diagnostic assay detects free and EV-associated Galf-containing glycans enabling urine testing for IA. Further analyses of the design-locked assay are needed for confirmation.
Institutions: Johns Hopkins University, Universitair Ziekenhuis Leuven, KU Leuven, University of Florida Health, University of Florida, University of Alberta, British University in Egypt, McGill University Health Centre, Institute of Biological Chemistry, Academia Sinica, McGill University, Academia Sinica
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,763
Awards: G299687272, G6824566732
OpenAlex ID: W7202199052
