Matej Oresic profile picture
Matej
Oresic
InFLAMES Flagship
Professor, Turku Bioscience Centre
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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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
Andrabi, Syed Bilal Ahmad; Kalim, Ubaid Ullah; Palani, Senthil; Khan, Mohd Moin; Khan, Meraj Hasan; Fagersund, Jimmy; Orpana, Julius; Paulin, Niklas; Batkulwar, Kedar; Junttila, Sini; Buchacher, Tanja; Grönroos, Toni; Toikka, Lea; Ammunet, Tea; Sen, Partho; Orešič, Matej; Kumpulainen, Venla; Tuomisto, Johanna E. E.; Sinha, Rahul; Marson, Alexander; Rasool, Omid; Elo, Laura L.; Lahesmaa, Riitta
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Identification and validation of a blood- based diagnostic lipidomic signature of pediatric inflammatory bowel disease (2024)

Nature Communications
Salihovic, Samira; Nyström, Niklas; Mathisen, Charlotte Bache-Wiig; Kruse, Robert; Olbjørn, Christine; Andersen, Svend; Noble, Alexandra J.; Dorn-Rasmussen, Maria; Bazov, Igor; Perminow, Gøri; Opheim, Randi; Detlie, Trond Espen; Huppertz-Hauss, Gert; Hedin, Charlotte R. H.; Carlson, Marie; Öhman, Lena; Magnusson, Maria K.; Keita, Åsa V.; Söderholm, Johan D.; D’Amato, Mauro; Orešič, Matej; Wewer, Vibeke; Satsangi, Jack; Lindqvist, Carl Mårten; Burisch, Johan; Uhlig, Holm H.; Repsilber, Dirk; Hyötyläinen, Tuulia; Høivik, Marte Lie; Halfvarson, Jonas
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Integrative analysis of multimodal mass spectrometry data in MZmine 3 (2023)

Nature Biotechnology
Schmid R, Heuckeroth S, Korf A, Smirnov A, Myers O, Dyrlund TS, Bushuiev R, Murray KJ, Hoffmann N, Lu MS, Sarvepalli A, Zhang Z, Fleischauer M, Durkop K, Wesner M, Hoogstra SJ, Rudt E, Mokshyna O, Brungs C, Ponomarov K, Mutabdzija L, Damiani T, Pudney CJ, Earll M, Helmer PO, Fallon TR, Schulze T, Rivas-Ubach A, Bilbao A, Richter H, Nothias LF, Wang MX, Oresic M, Weng JK, Bocker S, Jeibmann A, Hayen H, Karst U, Dorrestein PC, Petras D, Du XX, Pluskal T
(Kirjoitus tai data-artikkeli tieteellisessä aikakauslehdessä (B1))

The gut microbiota contributes to the pathogenesis of anorexia nervosa in humans and mice (2023)

Nature Microbiology
Fan Yong, Støving René Klinkby, Ibraim Samar Berreira, Hyötyläinen Tuulia, Thirion Florence, Arora Tulika, Lyu Liwei, Stankevic Evelina, Hansen Tue Haldor, Déchelotte Pierre, Sinioja Tim, Ragnarsdottir Oddny, Pons Nicolas, Galleron Nathalie, Quinquis Benoît, Levenez Florence, Roume Hugo, Falony Gwen, Vieira-Silva Sara, Raes Jeroen, Clausen Loa, Telléus Gry Kjaersdam, Bäckhed Fredrik, Oresic Matej, Ehrlich S. Dusko, Pedersen Oluf
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))