Identifying disease biomarkers for predictive medicine

Researchers at the Australian National Phenome Centre are studying urine samples from past populations of 32 countries to identify disease biomarkers that may be applied to predictive medicine today.


Areas of research

Metabolic phenotyping, Precision nutrition

Technology utilised

Nuclear Magnetic Resonance Spectroscopy, Mass Spectrometry

Lead researchers

Professor Elaine Holmes


What is the need for this project?

Being able to accurately predict the health trajectory of people over time is key to improving individual and population health and provides a basis for public health policy.

Improving the accuracy of those predictions provides the opportunity to intervene to prevent adverse health outcomes and improve the efficacy of those interventions.


What research are we undertaking?

The ANPC is applying state of the art spectrometry technology to the INTERSALT Study biobank of over 10,000 samples.

These samples provide a biological snapshot in time that allows us to understand the microbiome, diet and exposure to environmental factors that impacted the health of different populations.

Metabolic phenotyping of these samples will reveal differences in historical and present day diets and environmental exposures.


What are the key outcomes?

This research will identify disease biomarkers that may be applied to predictive medicine today.

By understanding the factors that have impacted the health of different populations, we will be able to more accurately predict health outcomes for current and future populations.


Other case studies

Australian National Phenome Centre