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

Links

http://www.symmys.fi/matej.html
ORCID

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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Prenatal exposure to perfluoroalkyl substances modulates neonatal serum phospholipids, increasing risk of type 1 diabetes (2020)

Environment International
Aidan McGlinchey, Tim Sinioja, Santosh Lamichhane, Partho Sen, Johanna Bodin, Heli Siljander, Alex M Dickens, Dawei Geng, Cecilia Carlsson, Daniel Duberg, Jorma Ilonen, Suvi M Virtanen, Hubert Dirven, Hanne F Bentsen, Karin Zimmer, Unni C Nygaard, Matej Oresic, Mikael Knip, Tuulia Hyotylainen
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Metabolic alterations in immune cells associate with progression to type 1 diabetes (2020)

Diabetologia
Partho Sen, Alex M. Dickens, María Asunción López-Bascón, Tuomas Lindeman, Esko Kemppainen, Santosh Lamichhane, Tuukka Rönkkö, Jorma Ilonen, Jorma Toppari, Riitta Veijola, Heikki Hyöty, Tuulia Hyötyläinen, Mikael Knip, Matej Orešič
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Publisher Correction: Building an international consortium for tracking coronavirus health status (2020)

Nature Medicine
Eran Segal, Feng Zhang, Xihong Lin, Gary King, Ophir Shalem, Smadar Shilo, William E. Allen, Faisal Alquaddoomi, Han Altae-Tran, Simon Anders, Ran Balicer, Tal Bauman, Ximena Bonilla, Gisel Booman, Andrew T. Chan, Ori Cohen, Silvano Coletti, Natalie Davidson, Yuval Dor, David A. Drew, Olivier Elemento, Georgina Evans, Phil Ewels, Joshua Gale, Amir Gavrieli, Benjamin Geiger, Yonatan H. Grad, Casey S. Greene, Iman Hajirasouliha, Roman Jerala, Andre Kahles, Olli Kallioniemi, Ayya Keshet, Ljupco Kocarev, Gregory Landua, Tomer Meir, Aline Muller, Long H. Nguyen, Matej Oresic, Svetlana Ovchinnikova, Hedi Peterson, Jana Prodanova, Jay Rajagopal, Gunnar Rätsch, Hagai Rossman, Johan Rung, Andrea Sboner, Alexandros Sigaras, Tim Spector, Ron Steinherz, Irene Stevens, Jaak Vilo, Paul Wilmes
(O2 Muu julkaisu )

Building an international consortium for tracking coronavirus health status (2020)

Nature Medicine
Segal E, Zhang F, Lin XH, King G, Shalem O, Shilo S, Allen WE, Alquaddoomi F, Altae-Tran H, Anders S, Balicer R, Bauman T, Bonilla X, Booman G, Chan AT, Cohen O, Coletti S, Davidson N, Dor Y, Drew DA, Elemento O, Evans G, Ewels P, Gale J, Gavrieli A, Geiger B, Grad YH, Greene CS, Hajirasouliha I, Jerala R, Kahles A, Kallioniemi O, Keshet A, Kocarev L, Landua G, Meir T, Muller A, Nguyen LH, Oresic M, Ovchinnikova S, Peterson H, Prodanova J, Rajagopal J, Ratsch G, Rossman H, Rung J, Sboner A, Sigaras A, Spector T, Steinherz R, Stevens I, Vilo J, Wilmes P
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )

Transcriptomic profiling across the nonalcoholic fatty liver disease spectrum reveals gene signatures for steatohepatitis and fibrosis (2020)

Science Translational Medicine
Olivier Govaere, Simon Cockell, Dina Tiniakos, Rachel Queen, Ramy Younes, Michele Vacca, Leigh Alexander, Federico Ravaioli, Jeremy Palmer, Salvatore Petta, Jerome Boursier, Chiara Rosso, Katherine Johnson, Kristy Wonders, Christopher P. Day, Mattias Ekstedt, Matej Orešič, Rebecca Darlay, Heather J. Cordell, Fabio Marra, Antonio Vidal-Puig, Pierre Bedossa, Jörn M. Schattenberg, Karine Clément, Michael Allison, Elisabetta Bugianesi, Vlad Ratziu, Ann K. Daly, Quentin M. Anstee
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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