Publications by authors named "Marta Csanalosi"
Article Synopsis
- The study explores how different dietary fat intakes affect glucagon levels, crucial for lipid metabolism, using 92 twins on a low-fat diet (LFD) followed by a high-fat diet (HFD) and some on a high-protein diet (HPD).
- Results showed a significant reduction in glucagon levels during the LFD, while transitioning to the HFD led to a marked increase in glucagon and a decrease in free fatty acids. The HPD further elevated glucagon levels despite stable fasting amino acids.
- Overall, the findings suggest that a high-fat diet boosts glucagon levels and improves the glucagon-to-insulin ratio, potentially helping to prevent fat accumulation in the
Mobile applications have been shown to be an effective and feasible intervention medium for improving healthy food intake in different target groups. As part of the PeRsOnalized nutriTion for hEalthy livINg (PROTEIN) European Union H2020 project, the PROTEIN mobile application was developed as an end-user environment, aiming to facilitate healthier lifestyles through artificial intelligence (AI)-based personalised dietary and physical activity recommendations. Recommendations were generated by an AI advisor for different user groups, combining users' personal information and preferences with a custom knowledge-based system developed by experts to create personalised, evidence-based nutrition and activity plans.
View Article and Find Full Text PDFAims: Amino acids powerfully release glucagon but their contribution to postprandial hyperglucagonemia in type 2 diabetes remains unclear. Exogenously applied GIP stimulates, while GLP-1 inhibits, glucagon secretion in humans. However, their role in mixed meals is unclear, which we therefore characterized.
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