Matej
Oresic
Professor, Turku Bioscience Centre
InFLAMES Flagship
Ph.D.
Areas of expertise
Systems biology
bioinformatics
metabolomics
lipidomics
biophysics
systems medicine
computational biology
Biography
Professor Matej Orešič holds a PhD in biophysics from Cornell University. He is Professor of Medical Sciences with Specialization in Systems Medicine at School of Medical Sciences (Örebro University, Sweden), Group Leader in Systems Medicine at the Turku Bioscience Centre (University of Turku, Finland), and Guest Professor at the Oil Crops Research Institute Chinese Academy of Agricultural Sciences (Wuhan, PR China). His main research areas are metabolomics applications in biomedical research and integrative bioinformatics. He is particularly interested in the identification of disease vulnerabilities associated with different metabolic phenotypes and the underlying mechanisms linking these vulnerabilities with the development of specific disorders or their co-morbidities, with specific focus on obesity and diabetes and their co-morbidities. Dr. Orešič has also initiated the popular MZmine open source project, leading to popular software for metabolomics data processing. Previosuly, Dr. Orešič was principal investigator at Steno Diabetes Center (Gentofte, Denmark), research professor at VTT Technical Research Centre of Finland (Espoo, Finland), head of computational biology and modeling at Beyond Genomics, Inc. (Waltham/MA) and bioinformatician at LION Bioscience Research in Cambridge/MA. In 2016, Dr. Oresic received the Lifetime Honorary Fellow award from the Metabolomics Society.
Research
Our main research area is systems medicine, particularly metabolomics applications in biomedical research and related integrative bioinformatics. Specifically, we am particularly interested in the identification of disease vulnerabilities associated with different metabolic phenotypes and the underlying mechanisms linking these vulnerabilities with the development of specific disorders or their co-morbidities. Such in depth understanding of the metabolic phenotypes in health and disease is crucial if one is to implement personalized medicine. Dr. Orešič initiated the popular MZmine open source project, leading to popular software for metabolomics data processing.
Main ongoing projects:
Strategic Research Agreement, Juvenile Diabetes Research Foundation (9/2016-9/2018): Metabolomic and Proteomic markers staging progression to type 1 diabetes in autoantibody positive children – PI
Strategic Research Agreement, Juvenile Diabetes Research Foundation (9/2016-9/2018): Mother-infant interactions in relation to potential biomarkers of beta-cell autoimmunity and type 1 diabetes – PI
Academy of Finland Centre of Excellence in Molecular Systems Immunology and Physiology Research (2012-2017) - PI
Strategic Research Agreement, Juvenile Diabetes Research Foundation (Integrative multi-omic study of early progression to type 1 diabetes; 2014-2017) - PI
pHealth Programme, multi-PI collaborative project, Academy of Finland (Personalised medicine to predict and prevent Type 1 Diabetes; 9/2015-8/2019) – Co-PI
EU H2020 EPoS (Elucidating Pathways of Steatohepatitis) - Workpackage leader
EU FP7 METSY (Integrated neuroimaging and metabolic platform for characterisation of early psychosis and prediction of patient outcomes) - Coordinator
Publications
Cord serum metabolic signatures of future progression to immune-mediated diseases (2023)
iScience
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Serum APOC1 levels are decreased in young autoantibody positive children who rapidly progress to type 1 diabetes (2023)
Scientific Reports
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Dynamics of the Lipidome in a Colon Simulator (2023)
Metabolites
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Recent advances towards mass spectrometry-based clinical lipidomics (2023)
Current Opinion in Chemical Biology
(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))
Integrative analysis of multimodal mass spectrometry data in MZmine 3 (2023)
Nature Biotechnology
(Kirjoitus tai data-artikkeli tieteellisessä aikakauslehdessä (B1))
The gut microbiota contributes to the pathogenesis of anorexia nervosa in humans and mice (2023)
Nature Microbiology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Circulating metabolic signatures of rapid and slow progression to type 1 diabetes in islet autoantibody-positive children. (2023)
Frontiers in Endocrinology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Plasma lipid alterations in young adults with psychotic experiences: A study from the Avon Longitudinal Study of Parents and Children cohort (2022)
Schizophrenia Research
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Quantitative modelling of human liver reveals dysregulation of glycosphingolipid pathways in nonalcoholic fatty liver disease (2022)
iScience
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Dysregulation of secondary bile acid metabolism precedes islet autoimmunity and type 1 diabetes (2022)
Cell Reports Medicine
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))