to the Quantitative Biology and Bioinformatics group page. We are an interdisciplinary team with competencies in metabolomics, computational systems biology, bioinformatics and advanced analytical technologies. We are part of the Academy of Finland Centre of Excellence in Molecular Systems Immunology and Physiology Research (2012-2017), which is directed by Prof. Matej Orešič.
We are investigating
- how are the genetic and environmental factors imprinted in the metabolome;
- the mechanisms by which alterations of metabolome lead to (patho)physiological changes at the systems level;
- discovery and functional char acterization of metabolic markers for multiple diseases or responses to interventions and environmental challenges.
We are relying on metabolomics techniques to characterize the metabolome, combined with systems biology strategies to investigate, e.g., how changes in gene expression, gut microbial composition or immune/inflammatory status alter the metabolic phenotypes. Current biomedical interests include metabolic and autoimmune diseases.
The emergence of systems biology and medicine is opening new opportunities to characterize and understand biological systems as well as to identify novel biomarkers and therapeutic avenues to benefit human health.
Biochemical signature predicts progression to Alzheimer's disease [Metabolome in progression to Alzheimer’s disease, Transl. Psychiatry 1, e57 (2011)] [Commentary in Alzheimer Research Forum] [Commentary in Neurology Today].
This sort of metabolomic approach to T1D natural history may be a pioneering example of environmental data-driven approaches. From commentary on our paper Dysregulation of lipid and amino acid metabolism precedes islet autoimmunity in children who later progress to type 1 diabetes, J. Exp. Med. 205, 2975 (2008).