GRA-JSPS: Automated Metabolomics Software Tool for Nutritional Assessment of Diet Quality in Urine

A poor diet quality and overconsumption of ultra-processed foods represent a looming public health crisis as reflected by a global ‘pandemic’ of obesity and cardiometabolic diseases, including type 2 diabetes. Nutritional studies are prone to bias and misreporting as they typically rely on questionnaires to assess the role of diet on human health outcomes in large populations. This proposal aims to develop a new software tool for rapid and reliable assessment of a panel of urinary dietary biomarkers of food intake when using high throughput capillary electrophoresis-mass spectrometry (CE-MS) technology. This collaborative research project will bring together leading research groups at McMaster University (Hamilton, Canada) and SFC-Keio University (Tsuruoka, Japan) with longstanding interests in advancing CE-MS based metabolomics as required for new advances in precision nutrition and chronic disease prevention.

Faculty Supervisor:

Philip Britz-McKibbin

Student:

Partner:

Keio University

Discipline:

Life Sciences

Sector:

Education

University:

McMaster University

Program: