Clemens Wittenbecher
Dr. Clemens Wittenbecher’s work is centered around the application of novel omics approaches for predicting cardiometabolic risk and comprehending how diet composition influences future disease risk. He has effectively utilized methodologies in causal modeling and metabolic network analysis to delve into the complexities of nutritional epidemiology. In the context of large observational cohorts, such as the Harvard cohorts, the European Prospective Investigation into Cancer and Nutrition (EPIC) study, the PREDIMED trial, and the Swedish SCAPIS and SIMPLER cohorts, Dr. Wittenbecher has focused on metabolomic profiling and its links with dietary patterns and disease risk. His research has revealed specific metabolic signatures that respond to dietary components, contributing to our understanding of how these components can modulate cardiometabolic risk. Clemens Wittenbecher has profound experience in leading and supervising precision nutrition research projects and is centrally involved in major US and Scandinavian precision nutrition research networks. Dr. Wittenbecher initiated the Precision Nutrition Forum in Gothenburg, attracting seminal nutrition and multi-omics researchers from the US and Europe. Dr. Wittenbecher holds a Wallenberg data-driven life science fellowship and a VR starting grant in health and medicine.
Showing 15 publications
Plasma metabolite predictors of metabolic syndrome incidence and reversion
Blood lipid profiling indicates that dietary fat quality is associated with cardiometabolic risk
Plasma lipidome and risk of atrial fibrillation: results from the PREDIMED trial
Circulating Amino Acids and Risk of Peripheral Artery Disease in the PREDIMED Trial
Mapping of the gene network that regulates glycan clock of ageing
Low-Carbohydrate Diet Scores and Mortality Among Adults With Incident Type 2 Diabetes
Retinol and Retinol Binding Protein 4 Levels and Cardiometabolic Disease Risk
Immunoglobulin G N-Glycosylation Signatures in Incident Type 2 Diabetes and Cardiovascular Disease
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