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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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Deletion of the metabolic transcriptional coactivator PGC1β induces cardiac arrhythmia

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.
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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.

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.