Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions.

Background: Post bariatric hypoglycaemic (PBH) is a late complication of weight loss surgery, characterised by critically low blood glucose levels following meal-induced glycaemic excursions. The disabling consequences of PBH underline the need for the development of a decision support system (DSS) that can warn individuals about upcoming PBH events, thus enabling preventive actions to avoid impending episodes. In view of this, we developed various algorithms based on linear and deep learning models to forecast PBH episodes in the short-term.

Human T9 cells rely on PPAR-γ-mediated cystine uptake to prevent lipid peroxidation and bioenergetic failure.

T9 cells are implicated in allergic skin inflammation and depend on the transcription factor PPAR-γ for full effector function. In this study, we uncovered a role for PPAR-γ in the amino acid metabolism of human T9 cells. In in-vitro-primed T9 cells, PPAR-γ expression positively correlated with the expression of SLC7A8, which encodes LAT2, a transporter of large neutral amino acids, including cystine.