Dr Rona Antoni
I graduated from the University of Surrey with a 1st class degree in BSc Nutrition and Dietetics (Hons) in 2012. After a year out working full time in the NHS as an acute dietitian I returned to the university to commence a PhD in Nutritional Sciences, investigating the metabolic effects of intermittent fasting. Alongside my PhD, I continued to work part time in the NHS as a diabetes specialist dietitian. I successfully completed my PhD in 2016.
I currently work at the university as a Research Fellow in Nutritional Metabolism, working on a large scale BBSRC funded study which aims to identify the biological mechanisms underlying the variability in LDL-cholesterol responses to saturated fat: http://www.bbsrc.ac.uk/research/grants-search/AwardDetails/?FundingReference=BB/P010245/1.
Areas of specialism
Awards and Nominations:
- 2019: British Nutrition Foundation Early Career Researcher Award Top 5
- 2018: European Association for the Study of Obesity Best Thesis Award
- 2016: Nutrition Society Postgraduate Award
- 2016: Clinical Nutrition Magazine Student of the Year Short-list
- 2015: Nutrition Society Oral Communication Winner
- 2013: University of Surrey (Faculty of Health and Medical Sciences) Prize PhD Studentship
My PhD research investigated the short and longer term metabolic effects of intermittent fasting, encompassing intermittent energy restriction (e.g. the 5:2 diet) and time-restricted feeding. I also conducted the first study of 5:2 within a 'real life' NHS weight-management service.
I am currently working on a large scale BBSRC funded study which aims to identify the biological mechanisms underlying the variability in LDL-cholesterol responses to saturated fat: http://www.bbsrc.ac.uk/research/grants-search/AwardDetails/?FundingReference=BB/P010245/1. To elucidate these mechanisms the study will implement measures of changes in intestinal absorption (stable isotopes), gut permeability (absorption/recovery of 51Cr-EDTA probe), expression of LDL-receptors (PBMC by PCR), serum deconjugated bile acids (targeted UPLC-MS) and gut microbiota (ISH, NGS & CLS genomics). Moreover, the study aims to apply metabolomic techniques in an attempt to identify serum biomarkers of these metabolic differences that can be used to predict an individual's responsiveness to saturated fat.