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In spotlight A multi-metabolite analysis of serum by 1H NMR spectroscopy: early systemic signs of Alzheimer's disease. Biochemical and Biophysical Research Communications 2008, in press. Metabolic phenotypes, vascular complications and premature deaths in a population of 4,197 patients with type 1 diabetes. Diabetes 2008, in press. 1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death a featured article in Molecular Systems Biology 4, 167 (1-12), 2008 Meet us
M. Ala-Korpela at
The 25th Annual Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2008)
in Valencia, Spain on October 2-4, 2008
M. Ala-Korpela at
The Brain Lipids Conference 2008
in Oslo, Norway on September 8-11, 2008
V.-P. Mäkinen at
The 4th Scientific Meeting of the Metabolomics Society
in Boston, USA on September 2-6, 2008
M. Ala-Korpela at
The 4th Atlantic Omics Symposium
in Moncton, NB, Canada on August 18-20, 2008
Computational Medicine Research Group
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A schematic simplification of the challenge related to the risk assessment and diagnosis of atherothrombosis |
Towards new technological platforms
The presented novel scheme utilising magnetic resonance methodologies in the risk assessment of long-term risk for atherothrombotic events might be operational in the near future saving both human suffering and societal health costs.
Annals of Medicine 38, 322-336, 2006
One of the great challenges for 21st century medicine is to deliver effective therapies that are tailored to the biological state of an individual to enable personalised healthcare solutions. We have recently outlined the advantages of magnetic resonance (MR) technologies in detecting molecular and cellular processes related to developing coronary heart disease (CHD): lipoprotein subclass analytics by in vitro 1H NMR metabonomics of serum is used for risk assessment and in vivo MR imaging for direct detection of plaque composition and vulnerability. This would clinically facilitate early individual primary prevention and also give a personal rationale to comply with lifestyle modifications and potential drug therapies.
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A potential scheme utilising MR methodologies in the risk assessment of atherothrombotic events. |
More information
Dr Mika Ala-Korpela
Group Leader in Computational Medicine
The Academy of Finland Centre of Excellence in Computational Complex Systems Research 2006-2011
Helsinki University of Technology
Faculty of Information and Natural Sciences
Department of Biomedical Engineering and Computational Science
P.O. Box 9203
FI-02015 HUT
Finland &
The Folkhälsan Research Center
Institute of Genetics, Department of Diabetes Genetics
The FinnDiane Study Group
P.O. Box 63, Biomedicum
00014 University of Helsinki
Finland &
Helsinki University Central Hospital, Department of Medicine,
Division of Nephrology, Helsinki, Finland
Mobile: + 358 50 35 35 457
E-mail: 




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