Characterization of different fat depots in NAFLD using inflammation-associated proteome, lipidome and metabolome

Show simple item record Lovric, Alen Graner, Marit Bjornson, Elias Arif, Muhammad Benfeitas, Rui Nyman, Kristofer Ståhlman, Marcus Pentikäinen, Markku O. Lundbom, Jesper Hakkarainen, Antti Siren, Reijo Nieminen, Markku S. Lundbom, Nina Lauerma, Kirsi Taskinen, Marja-Riitta Mardinoglu, Adil Boren, Jan 2018-10-09T10:56:01Z 2018-10-09T10:56:01Z 2018-09-21
dc.identifier.citation Lovric , A , Graner , M , Bjornson , E , Arif , M , Benfeitas , R , Nyman , K , Ståhlman , M , Pentikäinen , M O , Lundbom , J , Hakkarainen , A , Siren , R , Nieminen , M S , Lundbom , N , Lauerma , K , Taskinen , M-R , Mardinoglu , A & Boren , J 2018 , ' Characterization of different fat depots in NAFLD using inflammation-associated proteome, lipidome and metabolome ' , Scientific Reports , vol. 8 , 14200 .
dc.identifier.other PURE: 116615864
dc.identifier.other PURE UUID: e7c787f0-81fb-4979-868c-2bb3722e131c
dc.identifier.other WOS: 000445276000044
dc.identifier.other Scopus: 85053722070
dc.identifier.other ORCID: /0000-0003-4150-3141/work/55618564
dc.identifier.other ORCID: /0000-0002-6229-3588/work/90756952
dc.description.abstract Non-alcoholic fatty liver disease (NAFLD) is recognized as a liver manifestation of metabolic syndrome, accompanied with excessive fat accumulation in the liver and other vital organs. Ectopic fat accumulation was previously associated with negative effects at the systemic and local level in the human body. Thus, we aimed to identify and assess the predictive capability of novel potential metabolic biomarkers for ectopic fat depots in non-diabetic men with NAFLD, using the inflammation-associated proteome, lipidome and metabolome. Myocardial and hepatic triglycerides were measured with magnetic spectroscopy while function of left ventricle, pericardial and epicardial fat, subcutaneous and visceral adipose tissue were measured with magnetic resonance imaging. Measured ectopic fat depots were profiled and predicted using a Random Forest algorithm, and by estimating the Area Under the Receiver Operating Characteristic curves. We have identified distinct metabolic signatures of fat depots in the liver (TAG50:1, glutamate, diSM18:0 and CE20:3), pericardium (N-palmitoyl-sphinganine, HGF, diSM18:0, glutamate, and TNFSF14), epicardium (sphingomyelin, CE20:3, PC38:3 and TNFSF14), and myocardium (CE20:3, LAPTGF-beta 1, glutamate and glucose). Our analyses highlighted non-invasive biomarkers that accurately predict ectopic fat depots, and reflect their distinct metabolic signatures in subjects with NAFLD. en
dc.format.extent 14
dc.language.iso eng
dc.relation.ispartof Scientific Reports
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject GROWTH-FACTOR 21
dc.subject LIVER-DISEASE
dc.subject 3121 General medicine, internal medicine and other clinical medicine
dc.title Characterization of different fat depots in NAFLD using inflammation-associated proteome, lipidome and metabolome en
dc.type Article
dc.contributor.organization HUS Heart and Lung Center
dc.contributor.organization Department of Medicine
dc.contributor.organization Marja-Riitta Taskinen Research Group
dc.contributor.organization Clinicum
dc.contributor.organization University of Helsinki
dc.contributor.organization Kardiologian yksikkö
dc.contributor.organization Department of Diagnostics and Therapeutics
dc.contributor.organization HUS Medical Imaging Center
dc.contributor.organization Department of General Practice and Primary Health Care
dc.contributor.organization HUS Internal Medicine and Rehabilitation
dc.description.reviewstatus Peer reviewed
dc.relation.issn 2045-2322
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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