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A Lateral-Flow Device for the Rapid Detection of Scedosporium Species
Version 1
: Received: 27 March 2024 / Approved: 28 March 2024 / Online: 28 March 2024 (06:56:41 CET)
A peer-reviewed article of this Preprint also exists.
Davies, G.E.; Thornton, C.R. A Lateral-Flow Device for the Rapid Detection of Scedosporium Species. Diagnostics 2024, 14, 847. Davies, G.E.; Thornton, C.R. A Lateral-Flow Device for the Rapid Detection of Scedosporium Species. Diagnostics 2024, 14, 847.
Abstract
Scedosporium species are human pathogenic fungi, responsible for chronic, localised, and life-threatening disseminated infections in both immunocompetent and immunocompromised individuals. Diagnosis of Scedosporium infections currently relies on non-specific CT, lengthy and insensitive culture from invasive biopsy, and time-consuming histopathology of tissue samples. At present, there are no rapid antigen tests that detect Scedosporium-specific biomarkers. Here we report the development of a rapid (30 min) and sensitive (pmol/L sensitivity) lateral-flow device (LFD) test, incorporating a Scedosporium-specific IgG1 monoclonal antibody (mAb), HG12, which binds to extracellular polysaccharide (EPS) antigens of between ~15 kDa and 250 kDa secreted during hyphal growth of the pathogens. The test is compatible with human serum, and allows the detection of the Scedosporium species most-frequently reported as agents of human disease (Scedosporium apiospermum, Scedosporium aurantiacum, and Scedosporium boydii), with limits of detection (LOD) of the EPS biomarkers in human serum of ~0.81 ng/mL (S. apiospermum), ~0.94 ng/mL (S. aurantiacum), and ~1.95 ng/mL (S. boydii). The Scedosporium-specific LFD (ScedLFD) test therefore provides a potential novel opportunity for the detection of infections caused by different Scedosporium species.
Keywords
Scedosporium; scedosporiosis; monoclonal antibody; biomarker; lateral-flow device; enzyme-linked immunosorbent assay
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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