Matej Oresic
Ph.D.
matej.oresic@utu.fi +358 29 450 3798 +358 46 923 3395 Tykistökatu 6 Turku ORCID-tunniste: https://orcid.org/0000-0002-2856-9165 |
Systems biology, exposome, bioinformatics, metabolomics, lipidomics, biophysics, systems medicine, computational biology
Professor Matej Orešič holds a PhD in biophysics from Cornell University (1999; Ithaca, NY, USA). He is professor of medicine, with specialization in systems medicine at Örebro University (Sweden) and a professor of biochemistry (metabolomics) at the University of Turku (Finland). Prof. Orešič’s main research areas include exposomics and metabolomics applications in biomedical research and systems medicine. He is particularly interested in the identification of environmental exposures (exposome) and disease processes associated with different metabolic phenotypes and the underlying mechanisms linking these processes with the development of specific disorders or their co-morbidities. Prof. Orešič also initiated the popular MZmine open-source project, which led to the development and release of popular software for metabolomics data processing. As of 2016, he was made a Lifetime Honorary Fellow of the Metabolomics Society. Professor Orešič currently serves as member of the Board of Directors of the Metabolomics Society and is one of the founders of the Nordic Metabolomics Society, previously serving as its chair of the board. In 2019, he co-chaired the 1st Gordon Research Conference on ‘Metabolomics and Human Health’ (Ventura, CA, USA). Previously, he also chaired the Keystone Symposium on Systems Biology of Lipid Metabolism (2015; Breckenridge, CO, USA). Professor Orešič currently coordinates Horizon Europe project “Inflammation in human early life: targeting impacts on life-course health – INITIALISE (https://initialise-project.eu/)”. He is also Co-Coordinator of the new Horizon Europe project “Investigation of endocrine-disrupting chemicals as contributors to progression of metabolic dysfunction-associated steatotic liver disease – EDC-MASLD (https://edc-masld.eu/)”.
Professor Orešič’s main research areas include exposomics and metabolomics applications in biomedical research and systems medicine. He is particularly interested in the identification of environmental exposures (exposome) and disease processes associated with different metabolic phenotypes and the underlying mechanisms linking these processes with the development of specific disorders or their co-morbidities. Prof. Orešič also initiated the popular MZmine open-source project, which led to the development and release of popular software for metabolomics data processing. Professor Orešič currently coordinates Horizon Europe project “Inflammation in human early life: targeting impacts on life-course health – INITIALISE (https://initialise-project.eu/)”. He is also Co-Coordinator of the new Horizon Europe project “Investigation of endocrine-disrupting chemicals as contributors to progression of metabolic dysfunction-associated steatotic liver disease – EDC-MASLD (https://edc-masld.eu/)”.
- Classification of Common Food Lipid Sources Regarding Healthiness Using Advanced Lipidomics: A Four-Arm Crossover Study (2023)
- International Journal of Molecular Sciences
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Cord serum metabolic signatures of future progression to immune-mediated diseases (2023)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine (2023)
- Computational and Structural Biotechnology Journal
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Dynamics of the Lipidome in a Colon Simulator (2023)
- Metabolites
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Impact of exposure to per- and polyfluoroalkyl substances on fecal microbiota composition in mother-infant dyads (2023)
- Environment International
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Integrating Omics Data in Genome-Scale Metabolic Modeling: A Methodological Perspective for Precision Medicine (2023)
- Metabolites
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Integrative analysis of multimodal mass spectrometry data in MZmine 3 (2023)
- Nature Biotechnology
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Recent advances towards mass spectrometry-based clinical lipidomics (2023)
- Current Opinion in Chemical Biology
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Serum APOC1 levels are decreased in young autoantibody positive children who rapidly progress to type 1 diabetes (2023)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - The gut microbiota contributes to the pathogenesis of anorexia nervosa in humans and mice (2023)
- Nature Microbiology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



