RESUMEN

Induced volatolomics is an emerging field that holds promise for many biomedical applications including disease detection and prognosis. In this pilot study, we report the first use of a cocktail of volatile organic compounds (VOCs)-based probes to highlight new metabolic markers allowing disease prognosis. In this pilot study, we specifically targeted a set of circulating glycosidases whose activities could be associated with critical COVID-19 illness. Starting from blood sample collection, our approach relies on the incubation of VOC-based probes in plasma samples. Once activated, the probes released a set of VOCs in the sample headspace. The dynamic monitoring of the signals of VOC tracers enabled the identification of three dysregulated glycosidases in the initial phase after infection, for which preliminary machine learning analyses suggested an ability to anticipate critical disease development. This study demonstrates that our VOC-based probes are a new set of analytical tools that can provide access to biological signals until now unavailable to biologists and clinicians and which could be included in biomedical research to properly construct multifactorial therapy algorithms, necessary for personalized medicine.

Asunto(s)

COVID-19 , Compuestos Orgánicos Volátiles , Humanos , Proyectos Piloto , COVID-19/diagnóstico , Glicósido Hidrolasas , Compuestos Orgánicos Volátiles/análisis

RESUMEN

The Lossen rearrangement, that allows the conversion of hydroxamic acids into isocyanates, was discovered almost 150 years ago. For more than a century, this transformation was supposed to occur exclusively in the presence of stoichiometric amounts of activating reagents devoted to promoting the dehydration of primary hydroxamic acids. Very recently, it was demonstrated that the Lossen rearrangement can take place directly from free hydroxamic acids offering a renewal of interest for such a reaction. This short review summarizes advances in this field by describing successively the metal-assisted, the self-propagative and the promoted self-propagative Lossen rearrangement with a special emphasis on their mechanisms.