Matej Oresic profile picture
Matej
Oresic
Senior Research Fellow, Turku Bioscience Centre
InFLAMES Flagship
Ph.D.

Contact

+358 29 450 3798
+358 46 923 3395
Tykistökatu 6
20520
Turku

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

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Metabolic signatures across the full spectrum of non-alcoholic fatty liver disease (2022)

JHEP Reports
McGlinchey Aidan J, Govaere Oivier, Geng Dawei, Ratziu Vlad, Allison Michael, Bousier Jerome, Petta Salvatore, de Oliviera Claudia, Bugianesi Elisabetta, Schattenberg Jörn M, Daly Ann K, Hyötyläinen Tuulia, Anstee Quentin M, Orešič Matej
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Umbilical cord blood DNA methylation in children who later develop type 1 diabetes (2022)

Diabetologia
Laajala Essi, Kalim Ubaid U, Grönroos Toni, Rasool Omid, Halla-aho Viivi, Konki Mikko, Kattelus Roosa, Mykkänen Juha, Nurmio Mirja, Vähä-Mäkilä Mari, Kallionpää Henna, Lietzen Niina, Ghimire Bishwa R, Laiho Asta, Hyöty Heikki, Elo Laura L, Ilonen Jorma, Knip Mikael, Lund Riikka J, Orešič Matej, Veijola Riitta, Lähdesmäki Harri, Toppari Jorma, Lahesmaa Riitta
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Permutation-based significance analysis reduces the type 1 error rate in bisulfite sequencing data analysis of human umbilical cord blood samples (2022)

Epigenetics
Laajala Essi, Halla-Aho Viivi, Grönroos Toni, Kalim Ubaid Ullah, Vähä-Mäkilä Mari, Nurmio Mirja, Kallionpää Henna, Lietzén Niina, Mykkänen Juha, Rasool Omid, Toppari Jorma, Oresic Matej, Knip Mikael, Lund Riikka, Lahesmaa Riitta, Lähdesmäki Harri
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Analysis of the SYSDIET Healthy Nordic Diet randomized trial based on metabolic profiling reveal beneficial effects on glucose metabolism and blood lipids (2022)

Clinical Nutrition
Gürdeniz Gözde, Uusitupa Matti, Hermansen Kjeld, Savolainen Markku J, Schwab Ursula, Kolehmainen Marjukka, Brader Lea, Cloetens Lieselotte, Herzig Karl-Heinz, Hukkanen Janne, Rosqvist Fredrik, Ulven Stine Marie, Gunnarsdóttir Ingibjörg, Thorsdottir Inga, Oresic Matej, Poutanen Kaisa S, Risérus U, Åkesson Björn, Dragsted Lars Ove
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Serum metabolome associated with severity of acute traumatic brain injury (2022)

Nature Communications
Thomas Ilias, Dickens Alex M, Posti Jussi P, Czeiter Endre, Duberg Daniel, Sinioja Tim, Kråkström Matilda, Helmrich Isabel RA Retel, Wang Kevin KW, Maas Andrew IR, Steyerberg Ewout W, Menon David K, Tenovuo Olli, Hyötyläinen Tuulia, Büki András, Orešič Matej; Group author: CENTER-TBI Participants and Investigators
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))