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Open Access Green as soon as Postprint is submitted to ZB.
Metabolomics signature associated with circulating serum selenoprotein P levels.
Endocrine 64, 486-495 (2019)
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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3.296
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5
7
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Hepatokine ; Selenop ; Untargeted Metabolomics ; Metabolic Disorders ; Popgen; Chain Amino-acids; Liver Fat-content; Glutathione-peroxidase; Plasma; Inflammation; Metabolism; Expression; Prevention; Patterns; Volumes
Language
english
Publication Year
2019
Prepublished in Year
2018
HGF-reported in Year
2018
ISSN (print) / ISBN
1355-008X
e-ISSN
1559-0100
Journal
Endocrine
Quellenangaben
Volume: 64,
Issue: 3,
Pages: 486-495
Publisher
Springer
Publishing Place
Totowa, NJ
Reviewing status
Peer reviewed
Institute(s)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Experimental Genetics (IEG)
Institute of Experimental Genetics (IEG)
POF-Topic(s)
30505 - New Technologies for Biomedical Discoveries
30201 - Metabolic Health
30201 - Metabolic Health
Research field(s)
Enabling and Novel Technologies
Genetics and Epidemiology
Genetics and Epidemiology
PSP Element(s)
G-503700-001
G-500600-001
G-500600-001
WOS ID
WOS:000473710000005
Scopus ID
85056726398
PubMed ID
30448992
Erfassungsdatum
2018-11-22