In spotlight

Quantitative high-throughput metabolomics – a new era in epidemiology and genetics
Genome Medicine 4:36, 2012  

Metabolic Signatures of Insulin Resistance in 7,098 Young Adults
Diabetes 2012, in press.

High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis
European Heart Journal 2012, in press. Read more

Genome-wide association study identifies multiple loci influencing human serum metabolite levels
Nature Genetics 44(3), 269-76, 2012

Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
Nature Genetics 43, 1131-1138, 2011

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
Nature 478, 103-9, 2011

The new serum NMR metabonomics platform has been operational for over 3 years with around 120,000 experiments performed, including 80,000 lipoprotein and low-molecular-weight windows plus 40,000 lipid windows measured.  

15.12.2011 Dr Mika Ala-Korpela has been appointed a Visiting Professorship for 2012 at the Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, UK.

15.10.2010 Menestystarinoita Oulun yliopistosta: Riskien tunnistamisesta ennaltaehkäisyyn

1.8.2010 Dr Mika Ala-Korpela has been appointed a 3-year Visiting Professorship in Omics Sciences at the College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan Province, China.

22.4.2010 Sydäntutkimussäätiö rahoittaa vaskulaaritautien metabonomiikkatutkimusta

13.4.2010 Diabetestutkimussäätiö rahoittaa tyypin 2 diabeteksen metabonomiikkatutkimusta (Säätiön tiedote)

1.3.2009 FT Mika Ala-Korpela nimitetty laskennallisen lääketieteen professoriksi

28.10.2008 Metabonomiikkatutkimukseen rahoitusta Suomen Akatemiasta


Computational Medicine Research Group
- multidisciplinary organisation

The Computational Medicine Research Group is homed by the University of Oulu, Faculty of Medicine, Institute of Clinical Medicine, Oulu, Finland. The Group is led by Prof. Mika Ala-Korpela.

Computational Medicine is a new multidisciplinary field of research to understand the biological mechanisms and to improve the diagnosis, prediction and treatment of human diseases through applications of computational science. Our scientific focus is in the area of metabonomics and systems biology applications in the early risk assessment, prediction and molecular understanding of vascular diseases and their complications. Our mission can be specified as:

- To develop holistic methodologies to understand the molecular aetiology, risk assessment, prevention, diagnostics and treatment of common human diseases via systems biology perspective and with multidisciplinary data, multimodal imaging and bioinformatics;

- To develop personalised approaches reflecting the natural complexity of human (patho)physiology and the intrinsically indistinct borderline between health and disease;

- To take advantage of various ‘omics sciences and the digitalisation of information to develop innovative socio-economical approaches to save money from the society and to reduce human suffering.

The Group is now part of the Academy of Finland Responding to Public Health Challenges Research Programme (SALVE) 2009-2012 in collaboration with Prof. Markku Savolainen (University of Oulu) who is leading the metabolic consortium entitled Improved methods of lifestyle modification for patients at high risk for metabolic syndrome. Additional funding for the subproject led by Prof. Marjo-Riitta Järvelin was awarded from the Imperial College, London. The subproject led by Prof. Mika Ala-Korpela is entitled 1H NMR metabonomics - a holistic molecular approach on individual disease risk assessment and focuses on the development and applications of this new technology to the risk assessment of common vascular diseases.

Together with our collaborators we now form an international computational medicine research consortium focusing on common vascular diseases and their interplay; currently around 100 scientists from ~25 laboratories in ~12 countries are involved.

Meet us

Recent and forthcoming lectures by Prof. Ala-Korpela

High-Throughput Serum NMR Metabonomes – The New Era of Metabolic Phenotyping in Epidemiology & GWAS (plenary).
EGG/EAGLE Human genetics symposium, 8.-9.2.2012, London, UK

High-Throughput Serum NMR Metabolomics ­ The New Era in Epidemiology & Genetics.
School of Social and Community Medicine, University of Bristol, 23.3.2012, Bristol, UK

Metabolic profiling and hypertension.
The 22nd Scientific Meeting of the European Society of Hypertension (ESH), 26.-29.4.2012, ExCeL, London, UK

High-Throughput Serum NMR Metabolomics - Towards Epidemiological Systems Biology
Erasmus MC, University Medical Center Rotterdam, Cardiovascular Research School, 2.5.2012, Rotterdam, The Netherlands

High-Throughput Serum NMR Metabolomics – The New Era in Epidemiology & Genetics.
The Richard Doll Seminars in Public Health and Epidemiology, 22.5.2012, University of Oxford, Oxford, UK

Seerumin NMR-metabolomiikka - 100.000 tutkittua, mitä on opittu ja mitä sitten? (Serum NMR metabolomics at around 100,000 individuals - what have we learned and where to go?) (in Finnish).
The Annual Cardiovascular Risk in Young Finns Study research meeting, 25.5.2012, Turku, Finland

High-Throughput Serum NMR Metabolomics in Cardiovascular Epidemiology
15th Kuopio Bio-NMR Workshop: Cardiac magnetic resonance imaging and applications A.I.Virtanen Institute, University of Eastern Finland, 18.-20.6.2012, Kuopio, Finland

High-Throughput Serum NMR – The New Era in Epidemiology & Genetics.
EUROMAR Conference, 1.-5.7.2012, University College Dublin, Dublin, Ireland

High-Throughput Serum NMR Metabolomics – Epidemiology in the Biobanking Era.
Biobanks and International Biobank Summit: Future Directions Conference, 20.-21.9.2012, Uppsala University, Uppsala, Sweden

More information

Mika Ala-Korpela, PhD
Professor in Computational Medicine

University of Oulu
Faculty of Medicine
Institute of Clinical Medicine
FI-90014 University of Oulu
Finland

Mobile: +358 40 1977 657
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