The development of an EU-wide nutrition and physical activity expert knowledge base to support a personalised mobile application across various EU population groups.

A healthy lifestyle comprising regular physical activity and an adequate diet is imperative for the prevention of non-communicable diseases such as hypertension and some cancers. Advances in information computer technology offer the opportunity to provide personalised lifestyle advice directly to the individual through devices such as smartphones or tablets. The overall aim of the PROTEIN project (Wilson-Barnes et al., 2021) was to develop a smartphone application that could provide tailored and dynamic nutrition and physical activity advice directly to the individual in real time. However, to create this mobile health (m-health) smartphone application, a knowledge base of reference ranges for macro-/micronutrient intake, anthropometry, biochemical, physiological and sleep parameters was required to underpin the parameters of the recommender systems. Therefore, the principal aim of this emerging research paper is to describe the process by which experts in nutrition and physiology from the PROTEIN consortium collaborated to develop the nutritional and physical activity requirements, based upon existing recommendations, for 10 separate population groups living within the EU including, but not limited to healthy adults, adults with type 2 diabetes mellitus, cardiovascular disease, excess weight, obesity and iron deficiency anaemia. A secondary aim is to describe the development of a library of 24-h meal plans appropriate for the same groups and also encompassing various dietary preferences and allergies. Overall, the consortium devised an extensive nutrition and physical activity knowledge base that is pertinent to 10 separate EU user groups, is available in 7 different languages and is practically implemented via a library of culturally appropriate, 24-h meal plans.

A Genetic Risk Score for the Estimation of Weight Loss After Bariatric Surgery.

BACKGROUND: Sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) are the most frequent bariatric surgery procedures worldwide. In this prospective study, we examined the association of a genetic risk score (GRS) with loss of excess weight after bariatric surgery. METHODS: A total of forty-seven morbidly obese Greek patients who underwent SG (81%) or RYGB were recruited, followed up for 2 years and genotyped. Weight loss after surgery was reported as the percentage of excess weight that was lost (%EWL) at 12 and 24 months after surgery. A GRS was constructed based on previously BMI- and WHR-related single nucleotide polymorphisms (SNPs) that were found significantly correlated with weight loss after bariatric surgery in our population. The level of post-surgery %EWL after 12 and 24 months was estimated through two multiple linear regression models that considered the effects of relevant genetic risk variants. RESULTS: The first proposed model suggested that the predictor variables of GRS, age, and BMI had a significant effect on %EWL12m. GRS was significantly associated with %EWL12m, indicating a 4.618% decrease of %EWL12m per score unit. The second model indicated a positive correlation between %EWL24m and %EWL12m, suggesting that while post-surgery weight loss increased during the first 12 months, an increase was expected in the next 12 months as well. GRS was also significantly associated with %EWL24m, indicating approximately 3% decrease of %EWL24m per score unit. CONCLUSION: GRS can be used in the future together with other preoperative parameters in order to predict the outcome of bariatric surgery.

Association between BBS6/MKKS gene polymorphisms, obesity and metabolic syndrome in the Greek population.

OBJECTIVE: To investigate the relationship between MKKS gene variations, obesity-related traits and features of the metabolic syndrome (MS) in the Greek population. DESIGN AND SUBJECTS: Genotype and haplotype analysis was carried out for six known MKKS gene polymorphisms (534C>T, 985+16T>G, 985+33C>G, 986-29A>T, 1161+58A>G and 1595G>T) in 220 obese subjects (body mass index > or =30 kg/m(2)) and 330 non-obese controls. RESULTS: Genotype frequencies of the 985+16T>G, 986-29A>T and 1595G>T SNPs were significantly different between obese and non-obese individuals (P=0.0016, 0.0196 and 0.0069, respectively). Obese carriers of the risk alleles of the above three polymorphisms had a significantly increased prevalence of arterial hypertension. Furthermore, obese carriers of the G allele for the 985+16T>G polymorphism had an increased prevalence of type 2 diabetes mellitus and of MS component traits. A new polymorphism was detected, namely a C to T substitution at position 1129 (1129C>T or N377N). Frequency of the T allele for the 1129C>T polymorphism was significantly higher in control individuals than in obese subjects (P=0.0253). Haplotype TGTGT was more prevalent in obese than in controls (P=0.0002) and was associated with increased prevalence of the MS in obese subjects (P<0.0001). CONCLUSION: Our results suggest that genetic variation in the MKKS gene may play a role in the development of obesity and the metabolic syndrome.