Matej
Oresic
InFLAMES Flagship
Professor, Turku Bioscience Centre
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
Identification and validation of a blood- based diagnostic lipidomic signature of pediatric inflammatory bowel disease (2024)
Nature Communications
(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 )
Hepatic glucose production rises with the histological severity of metabolic dysfunction-associated steatohepatitis (2024)
Cell Reports Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Infant microbes and metabolites point to childhood neurodevelopmental disorders (2024)
Cell
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Serum lipidome associates with neuroimaging features in patients with traumatic brain injury (2024)
iScience
(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
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Reproducible mass spectrometry data processing and compound annotation in MZmine 3 (2024)
Nature Protocols
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Comparative Metabolomics and Microbiome Analysis of Ethanol versus OMNImet/gene•GUT Fecal Stabilization (2024)
Analytical Chemistry
(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 )
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 )