Histoplasmosis is a severe dimorphic fungus infection, which is often difficult to diagnose due to similarity in symptoms to other diseases and lack of specific diagnostic tests. Urine samples from histoplasma-antigen-positive patients and appropriate controls were prepared using various sample preparation strategies including immunoenrichment, ultrafiltration, high-abundant protein depletion, deglycosylation, reverse-phase fractions, and digest using various enzymes. Samples were then analyzed by nanospray tandem mass spectrometry. Accurate mass TOF scans underwent molecular feature extraction and statistical analysis for unique disease makers, and acquired MS/MS data were searched against known human and histoplasma proteins. In human urine, some 52 peptides from 37 Histoplasma proteins were identified with high confidence. This is the first report of identification of a large number of Histoplasma-specific peptides from immunoassay-positive patient samples using tandem mass spectrometry and bioinformatics techniques. These findings may lead to novel diagnostic markers for histoplasmosis in human urine.
Keyphrases
- tandem mass spectrometry
- endothelial cells
- ms ms
- ultra high performance liquid chromatography
- liquid chromatography
- high performance liquid chromatography
- simultaneous determination
- induced pluripotent stem cells
- mass spectrometry
- pluripotent stem cells
- end stage renal disease
- gas chromatography
- high resolution
- machine learning
- chronic kidney disease
- magnetic resonance imaging
- liquid chromatography tandem mass spectrometry
- prognostic factors
- newly diagnosed
- ejection fraction
- solid phase extraction
- case report
- peritoneal dialysis
- deep learning
- high resolution mass spectrometry
- artificial intelligence