Numerical analysis of mechanical ventilation using high concentration medical gas mixtures in newborns

Method for the Identification of Potentially Bioactive Argon Binding Sites in Protein Families

Argon belongs to the group of chemically inert noble gases, which display a remarkable spectrum of clinically useful biological properties. In an attempt to better understand noble gases, notably argon's mechanism of action, we mined a massive noble gas modeling database which lists all possible noble gas binding sites in the proteins from the Protein Data Bank. We developed a method of analysis to identify among all predicted noble gas binding sites the potentially relevant ones within protein families which are likely to be modulated by Ar. Our method consists in determining within structurally aligned proteins the conserved binding sites whose shape, localization, hydrophobicity, and binding energies are to be further examined. This method was applied to the analysis of two protein families where crystallographic noble gas binding sites have been experimentally determined. Our findings indicate that among the most conserved binding sites, either the most hydrophobic one and/or the site which has the best binding energy corresponds to the crystallographic noble gas binding sites with the best occupancies, therefore the best affinity for the gas. This method will allow us to predict relevant noble gas binding sites that have potential pharmacological interest and thus potential Ar targets that will be prioritized for further studies including in vitro validation.

Endotracheal Tubes Design: The Role of Tube Bending

Endotracheal tubes (ETT) passed inside the human trachea witness tube bending at different angles, affecting the local fluid flow dynamics. This induces a variable mechanical ventilation performance across patients’ comfortability levels. Our understanding of the local fluid flow dynamics phenomena is thus crucial to enhance the maneuverability of ETT under operation. For the first time to our knowledge, we shed light on ETT through computational fluid dynamics (CFD) to investigate the bending effect of ETT on the local airflow in volume-controlled mechanical ventilation. We considered an ETT with 180° arc bend configuration, including Murphy’s eye. We identified several flow phenomena associated with the bending, such as flow asymmetries, secondary flows, and vortex dynamics throughout the tube.