Title: The impact of Genetics on the relationship between caffeine consumption and metabolic syndrome outcomes.

Biography:

Ambitious to find a healthcare setting job with a strong interest in working in a clinical setting. Recent graduate from Harokopio University Athens and current student of MSc Nutrition and Genetics in St. Mary' s University Twickenham. Through my degree I’ve gained practical experience in dietetics in clinical setting, assessing and evaluating nutrition of the patients, providing them diet therapy plans, consulting them and being involved in a variety of clinical dietetics topics such as Nutrition in Diabetes, Nutrition in Cancer patients, Nutrition in Gastrointestinal health issues, in Bariatric patients before and after the bariatric surgery. Also, I have gained some experience in weight management consultation as a dietitian practitioner in community. What is more, I extended my knowledge and my degree via Erasmus placement in University of Glasgow as a Nutrition Field Researcher in micronutrients supplementation, recruiting participants for the study, collecting and analyzing their data and their samples at the lab.

Abstract

Abstract: Caffeine is the most widely consumed physiological stimulant worldwide. Its effects on metabolic syndrome outcomes have been controversial at a population level. This review systematically investigates evidence from both, Randomized Controlled Trials (RCTs) and non- RCTs, how do some caffeine metabolism-related polymorphisms influence the effect of caffeine consumption on metabolic syndrome outcomes. Two databases (PubMed and EMBASE) were independently searched using almost the same algorithm. Included studies that involved only human participants and explored the influence of any genetic polymorphisms related to caffeine and metabolic syndrome outcomes. We included 16 studies (four randomized controlled trials, one interventional and quasi-interventional, seven crosssectional studies, and four case-control studies). Cytochrome P450 (CYP1A2) single nucleotide polymorphisms and the family of adenosine receptor (ADORA) genotypes, mostly ADORA2A, were associated with caffeine consumption and metabolic outcomes. However, the findings are controversial, and better-designed studies with larger sample sizes, fewer confounders, and better estimation of caffeine intake are needed in the future.