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di Giuseppe, R.* ; Koch, M.* ; Nöthlings, U.* ; Kastenmüller, G. ; Artati, A. ; Adamski, J. ; Jacobs, G.* ; Lieb, W.*

Metabolomics signature associated with circulating serum selenoprotein P levels.

Endocrine 64, 486-495 (2019)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Selenoprotein P (SELENOP) has been previously related to various metabolic traits with partially conflicting results. The identification of SELENOP-associated metabolites, using an untargeted metabolomics approach, may provide novel biological insights relevant to disentangle the role of SELENOP in human health.In this cross-sectional study, 572 serum metabolites were identified by comparing the obtained LC-MS/MS spectra with spectra stored in Metabolon's spectra library. Serum SELENOP levels were measured in 832 men and women using an ELISA kit.Circulating SELENOP levels were associated with 24 out of 572 metabolites after accounting for the number of independent dimensions in the metabolomics data, including inverse associations with alanine, glutamate, leucine, isoleucine and valine, an unknown compound X-12063, urate and the peptides gamma-glutamyl-leucine, and N-acetylcarnosine. Positive associations were observed between SELENOP and several lipid compounds. Of the identified metabolites, each standard deviation increase in the branched-chain amino acids (isoleucine, leucine, valine), alanine and gamma-glutamyl-leucine was related to higher odds of having T2DM [OR (95% CI): 1.96 (1.41-2.73); 1.62 (1.15-2.28); 1.94 (1.45-2.60), 1.57 (1.17-2.11), and 1.52 (1.13-2.05), respectively].Higher serum SELENOP levels were associated with an overall healthy metabolomics profile, which may provide further insights into potential mechanisms of SELENOP-associated metabolic disorders.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Hepatokine ; Selenop ; Untargeted Metabolomics ; Metabolic Disorders ; Popgen; Chain Amino-acids; Liver Fat-content; Glutathione-peroxidase; Plasma; Inflammation; Metabolism; Expression; Prevention; Patterns; Volumes
Sprache englisch
Veröffentlichungsjahr 2019
Prepublished im Jahr 2018
HGF-Berichtsjahr 2018
ISSN (print) / ISBN 1355-008X
e-ISSN 1559-0100
Zeitschrift Endocrine
Quellenangaben Band: 64, Heft: 3, Seiten: 486-495 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Totowa, NJ
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Experimental Genetics (IEG)
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
30201 - Metabolic Health
Forschungsfeld(er) Enabling and Novel Technologies
Genetics and Epidemiology
PSP-Element(e) G-503700-001
G-500600-001
DOI 10.1007/s12020-018-1816-9
WOS ID WOS:000473710000005
Scopus ID 85056726398
PubMed ID 30448992
Erfassungsdatum 2018-11-22
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