Petri Ingman

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Subtle metabolic changes precede and accompany chronic vascular complications, which are the primary causes of premature death in diabetes. To obtain a multimetabolite characterization of these high-risk individuals, we measured proton nuclear magnetic resonance (1H NMR) data from the serum of 613 patients with type I diabetes and a diverse spread of(More)
BACKGROUND A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk assessment and diagnostics. Here we focus on clinically relevant estimation of lipoprotein lipids by 1H NMR spectroscopy of serum. RESULTS A Bayesian methodology, with a biochemical(More)
Metabonomic approaches based on spectroscopic data are in their infancy in biomedicine. A key challenge in clinical metabonomics is uncovering and understanding the relations between the multidimensional spectroscopic data and the clinical measures currently used for disease risk assessment and diagnostics. A novel Bayesian approach for revealing clinically(More)
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