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/)”.
- Impact of Environmental Exposures on Human Breast Milk Lipidome in Future Immune-Mediated Diseases (2024)
- Environmental Science and Technology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Infant microbes and metabolites point to childhood neurodevelopmental disorders (2024)
- Cell
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - In utero exposures to perfluoroalkyl substances and the human fetal liver metabolome in Scotland : a cross-sectional study (2024)
- The Lancet Planetary Health
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Long noncoding RNA LIRIL2R modulates FOXP3 levels and suppressive function of human CD4+ regulatory T cells by regulating IL2RA (2024)
- Proceedings of the National Academy of Sciences of the United States of America
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Metabolic and phenotypic changes induced by PFAS exposure in two human hepatocyte cell models (2024)
- Environment International
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors (2024)
- Metabolomics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Novel Lipid Formulation Increases Absorption of Oral Cannabidiol (CBD) (2024)
- Pharmaceutics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prenatal exposure to environmental contaminants and cord serum metabolite profiles in future immune-mediated diseases (2024)
- Journal of Exposure Science and Environmental Epidemiology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Reproducible mass spectrometry data processing and compound annotation in MZmine 3 (2024)
- Nature Protocols
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Serum lipidome associates with neuroimaging features in patients with traumatic brain injury (2024)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Cardiomyocyte-specific PCSK9 deficiency compromises mitochondrial bioenergetics and heart function (2023)
- Cardiovascular Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - CBL/CAP Is Essential for Mitochondria Respiration Complex I Assembly and Bioenergetics Efficiency in Muscle Cells (2023)
- International Journal of Molecular Sciences
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Circulating metabolic signatures of rapid and slow progression to type 1 diabetes in islet autoantibody-positive children (2023)
- Frontiers in Endocrinology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - 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 )



