Lessons learnt from MyCyFAPP Project: Effect of cystic fibrosis factors and inherent-to-food properties on lipid digestion in foods

Abstract

Unveiling mechanisms underpinning nutrient digestion has raised interest in the field of medical sciences for their potential application in clinical treatments. In the case of Cystic Fibrosis, there was the urgent need of understanding lipolysis to establish a criterion to adjust the dose of pancreatic enzyme supplements that patients have to take to allow digestion, given the associated exocrine pancreatic insufficiency (EPI). The aim of MyCyFAPP Project was establishing an evidence-based method to adjust pancreatic enzyme replacement therapy based on understanding lipolysis mechanisms. To solve this challenge, the still unexplored field of real foods digestion had to be addressed. A static in vitro digestion model that simulated different EPI intestinal conditions was developed to conduct an extensive experimental work with 52 foods and with different doses of the enzymatic supplements. Results could explain the role of the inherent to food and host factors affecting lipolysis. In addition, the prediction of the optimal dose of enzymes for all the studied foods was tested in a clinical trial resulting in improved growth and quality of life. This review paper provides an overview of the main findings related to the new knowledge generated in the field of lipid digestion in real foods.

The cheese matrix: Understanding the impact of cheese structure on aspects of cardiovascular health – A food science and a human nutrition perspective

“…(2010), Calzada et␣al . (2014), Guinee (2016), McCarthy et␣al . (2017), and O'Brien and O'Connor (2017).…”

Long-term evaluation of faecal calprotectin levels in a European cohort of children with cystic fibrosis

“…This observational study was conducted in the frame of a large, multistage, European multicentre project (MyCyFAPP H2020-ref.643806) involving paediatric CF centres, to assess the evolution of fCP over time and its possible associations with clinical variables (forced expiratory volume in 1 s (FEV 1 ), CFA and GI-QoL). In MyCyFAPP Project, a prediction model to estimate optimal PERT dose was created based on in vitro data and integrated into a mobile app 11. GI-QoL and CFA values were obtained as either primary or secondary outcomes in two studies involving faecal sample collection within the MyCyFAPP Project, so the power calculation was performed to assess those outcomes7 8 (figure 1).…”

“…*Considered as the primary outcome. 1 Calvo-Lerma et al 12 2 Calvo-Lerma et al 11. CFA, coefficient of fat absorption; fCP, faecal calprotectin; PERT, pancreatic enzyme replacement therapy.…”

Dietary Aspects to Incorporate in the Creation of a Mobile Image-Based Dietary Assessment Tool to Manage and Improve Diabetes

“…Lastly, the type of macronutrients, such as the chain length of fatty acids and the structures of protein, and the physical property of food matrix structure, which is the 3D structure in which macronutrients interact and assemble within the food, could all affect digestion of foods. These complex properties of macronutrients could thus influence digestion and glycemic responses in various ways [56][57][58]. In summary, fat and protein content of a meal might impact PP blood glucose and should be captured by assessment tools and integrated within the calculation of appropriate insulin dosing strategies.…”