Assessing the predictive value of quantitative high throughput NMR metabolomic analysis for CVD events in a major diabetes trial: ADVANCE

Assessing the predictive value of quantitative high throughput NMR metabolomic analysis for CVD events in a major diabetes trial: ADVANCE

Type: Heart

Grant holder: Dr Paul Welsh, Dr Preiss, Professors Woodward, Chalmers and Sattar; Cardiovascular Research Centre, University of Glasgow

Amount Awarded: £77,630 over two years

Year: 2013 - Finished

Cutting-edge technology is being harnessed to give a more detailed analysis of the chemical make-up of blood samples than has yet been possible. The research team has developed the ability to measure the levels of more than 100 different components in blood, covering a broad range of fats and sugars. The researchers will test the new technology’s ability to predict heart attacks, thereby improving drug prescription and prevention. This new technology is being applied in a major international trial of diabetes patients, although this will be of particular interest in Scotland where rising diabetes rates threaten to reverse current declining heart attack trends.