Evidence map›Paper›PMID 30448992›Full record

ArticleEndocrine2019

Metabolomics signature associated with circulating serum selenoprotein P levels.

Romina di Giuseppe, Manja Koch, Ute Nöthlings, Gabi Kastenmüller, Anna Artati, Jerzy Adamski, Gunnar Jacobs, Wolfgang Lieb

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Romina di GiuseppeInstitute of Epidemiology, Kiel University, Kiel, Germany. romina.digiuseppe@epi.uni-kiel.de.ORCID 0000-0002-9587-9745
Manja KochDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ute NöthlingsDepartment of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.
Anna ArtatiInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.
Jerzy AdamskiDeutsches Zentrum für Diabetesforschung (DZD), Neuherberg, Germany.
Gunnar JacobsInstitute of Epidemiology, Kiel University, Kiel, Germany.
Wolfgang LiebInstitute of Epidemiology, Kiel University, Kiel, Germany.
Christian-Albrechts-Universität zu Kiel · DEHelmholtz Zentrum München · DEHarvard University · USUniversity of Bonn · DE

Funding

Deutsche Forschungsgemeinschaft Excellence Cluster "Inflammation at Interfaces" EXC306/2German Federal Ministry of Education and Research 01EY1103
6 · The paper itself

Abstract

purposeSelenoprotein 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.

methodsIn 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.

resultsCirculating 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].

conclusionsHigher serum SELENOP levels were associated with an overall healthy metabolomics profile, which may provide further insights into potential mechanisms of SELENOP-associated metabolic disorders.

Indexed as

MetabolomicsChromatography, LiquidCross-Sectional StudiesFemaleHumansMaleMetabolic DiseasesMiddle AgedSelenoprotein PSex FactorsTandem Mass SpectrometrySelenoprotein PHepatokineMetabolic disordersPopGenSELENOPUntargeted metabolomics

Identifiers

PMID30448992
OpenAlexW2901797980

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.