M
Matej Orešič
Researcher at Örebro University
Publications - 390
Citations - 32818
Matej Orešič is an academic researcher from Örebro University. The author has contributed to research in topics: Medicine & Lipid metabolism. The author has an hindex of 82, co-authored 352 publications receiving 26830 citations. Previous affiliations of Matej Orešič include University of Iceland & University of Turku.
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Journal ArticleDOI
Deletion of the metabolic transcriptional coactivator PGC1β induces cardiac arrhythmia
Iman S. Gurung,Gema Medina-Gomez,Adrienn Kis,Michael Baker,Vidya Velagapudi,Sudeshna Guha Neogi,Mark Campbell,Sergio Rodriguez-Cuenca,Christopher J. Lelliott,Ian G. McFarlane,Matej Orešič,Andrew A. Grace,Antonio Vidal-Puig,Christopher L.-H. Huang +13 more
TL;DR: PGC1β(-/-) hearts showed a lysophospholipid-induced cardiac lipotoxicity and impaired bioenergetics accompanied by an ion channel remodelling and altered Ca(2+) homeostasis, converging to produce a ventricular arrhythmic phenotype particularly during adrenergic stress.
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Lipidomics-based safety biomarkers for lipid-lowering treatments.
TL;DR: Using lipidomic analysis, it is found that the plasma lipidomic changes following simvastatin treatment correlate with the muscle expression of the arachidonate 5-lipoxygenase-activating protein, suggesting that the lipidomic profile may serve as a highly sensitive biomarker of statin-induced metabolic alterations in muscle and may allow us to identify patients who should be treated with a lower dose to prevent a possible toxicity.
Journal ArticleDOI
Obesity and psychotic disorders: uncovering common mechanisms through metabolomics.
TL;DR: This review covers how recent metabolomic studies have advanced biomarker discovery and the elucidation of mechanisms underlying obesity and its co-morbidities, with a specific focus on metabolic syndrome and psychotic disorders.
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Analytical Lipidomics in Metabolic and Clinical Research.
TL;DR: This work states that lipidomics, which enables comprehensive characterization of molecular lipids in biological systems, is rapidly becoming an essential tool in biomedical research and translation into the clinic remains a challenge.
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Building an international consortium for tracking coronavirus health status.
Eran Segal,Feng Zhang,Feng Zhang,Xihong Lin,Gary King,Ophir Shalem,Smadar Shilo,Smadar Shilo,William E. Allen,Faisal Alquaddoomi,Han Altae-Tran,Han Altae-Tran,Simon Anders,Ran D. Balicer,Tal Bauman,Ximena Bonilla,Gisel Booman,Andrew T. Chan,Ori Cohen,Silvano Coletti,Natalie R. 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,André Kahles,Olli Kallioniemi,Ayya Keshet,Ljupco Kocarev,Gregory Landua,Tomer Meir,Aline Muller,Long H. Nguyen,Matej Orešič,Matej Orešič,Svetlana Ovchinnikova,Hedi Peterson,Jana Prodanova,Jay Rajagopal,Gunnar Rätsch,Hagai Rossman,Johan Rung,Andrea Sboner,Alexandros Sigaras,Tim D. Spector,Ron Steinherz,Irene Stevens,Jaak Vilo,Paul Wilmes +56 more
TL;DR: It is called upon the research community to standardize efforts to use daily self-reported data about COVID-19 symptoms in the response to the pandemic and to form a collaborative consortium to maximize global gain while protecting participant privacy.