Evidence map›Paper›PMID 29445913›Full record

ArticleEuropean journal of nutrition2019

Dietary pattern associated with selenoprotein P and MRI-derived body fat volumes, liver signal intensity, and metabolic disorders.

Romina di Giuseppe, Sandra Plachta-Danielzik, Manja Koch, Ute Nöthlings, Sabrina Schlesinger, Jan Borggrefe, Marcus Both, Hans-Peter Müller, Jan Kassubek, Gunnar Jacobs and 1 more

Abstract read
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In one paragraph

Article in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
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

11 authors at 6 institutions in 2 countries.

Romina di GiuseppeInstitute of Epidemiology, Christian-Albrechts University of Kiel, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Niemannsweg 11, 24105, Kiel, Germany. romina.digiuseppe@epi.uni-kiel.de.ORCID http://orcid.org/0000-0002-9587-9745
Sandra Plachta-DanielzikInstitute of Epidemiology, Christian-Albrechts University of Kiel, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Niemannsweg 11, 24105, Kiel, Germany.
Manja KochInstitute of Epidemiology, Christian-Albrechts University of Kiel, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Niemannsweg 11, 24105, Kiel, Germany.
Ute NöthlingsDepartment of Nutrition and Food Sciences, University of Bonn, Bonn, Germany.
Sabrina SchlesingerInstitute for Biometrics and Epidemiology, Junior Research Group Systematic Reviews, German Diabetes Center, Düsseldorf, Germany.
Jan BorggrefeInstitute of Radiological Diagnostics Köln, Cologne, Germany.
Marcus BothDepartment of Diagnostic Radiology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Hans-Peter MüllerDepartment of Neurology, University of Ulm, Ulm, Germany.
Jan KassubekDepartment of Neurology, University of Ulm, Ulm, Germany.
Gunnar JacobsInstitute of Epidemiology, Christian-Albrechts University of Kiel, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Niemannsweg 11, 24105, Kiel, Germany.
Wolfgang LiebInstitute of Epidemiology, Christian-Albrechts University of Kiel, University Hospital Schleswig-Holstein (UKSH), Campus Kiel, Niemannsweg 11, 24105, Kiel, Germany.
Christian-Albrechts-Universität zu Kiel · DEUniversität Ulm · DEDeutsches Diabetes-Zentrum e.V. · DEHarvard University · USUniversity Hospital Schleswig-Holstein · DEUniversity 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

purposeThe association of complex dietary patterns with circulating selenoprotein P (SELENOP) levels in humans is unknown. In a general population sample, we aimed to identify a dietary pattern explaining inter-individual variation in circulating SELENOP concentrations and to study this pattern in relation to prevalent diabetes, metabolic syndrome (MetS), MRI-determined total volumes of visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue, and liver signal intensity/fatty liver disease.

methodsIn this cross-sectional study, serum SELENOP levels were measured in 853 individuals. In a subsample of 553 participants, whole-body MRI was performed to assess body fat distribution and liver fat. Dietary intake was assessed by a self-administered food frequency questionnaire and the dietary pattern identified using reduced-rank regression (RRR). Multivariable linear and logistic regressions were used to investigate associations between dietary pattern score and metabolic traits.

resultsCharacterized by high intake of fruit, vegetables and antioxidant beverages, the RRR-derived dietary pattern displayed inverse associations with VAT, SAT, MetS, and prevalent diabetes in multivariable-adjusted restricted cubic splines. Each unit increase in dietary pattern score was associated with 31% higher SELENOP levels, 12% lower VAT (95% CI: - 19%; - 5%), 13% (95% CI: - 20%; - 6%) lower SAT values and 46% (95% CI: 27%; 60%) and 53% (95% CI: 22%; 72%) lower odds of having MetS or diabetes, respectively. No meaningful relations were observed between the dietary pattern and liver traits.

conclusionsOur observations propose diet-related regulation in SELENOP levels and that the identified dietary pattern is inversely related to VAT, SAT, MetS, and prevalent diabetes.

Indexed as

Abdominal FatAdipose TissueAgedCohort StudiesCross-Sectional StudiesDiabetes MellitusDietFatty LiverFemaleHumansLiverMagnetic Resonance ImagingMaleMetabolic SyndromeMiddle AgedSelenoprotein PSelenoprotein PDietary patternEpidemiologyFat depotsMetabolic disordersPlant-based diet

Identifiers

PMID29445913
OpenAlexW2791471746

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.