Evidence map›Paper›PMID 31698359›Full record

ArticleObesity facts2019

Prediction of Circulating Adipokine Levels Based on Body Fat Compartments and Adipose Tissue Gene Expression.

Stefan Konigorski, Jürgen Janke, Dagmar Drogan, Manuela M Bergmann, Johannes Hierholzer, Rudolf Kaaks, Heiner Boeing, Tobias Pischon

Open access · goldAbstract read
In one paragraph

Article in Obesity facts, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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 6 institutions in 1 country.

Stefan KonigorskiMolecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany, stefan.konigorski@mdc-berlin.de.
Jürgen JankeMolecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Dagmar DroganAOK Research Institute (WIdO), AOK Bundesverband, Berlin, Germany.
Manuela M BergmannDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.
Johannes HierholzerDepartment of Diagnostic and Interventional Radiology, Clinic Ernst von Bergmann, Potsdam, Germany.
Rudolf KaaksDepartment of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Heiner BoeingDepartment of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
German Institute of Human Nutrition · DEMax Delbrück Center · DEGerman Cancer Research Center · DEHasso Plattner Institute · DEKlinikum Ernst von Bergmann · DEWissenschaftliches Institut der AOK · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdipokines are hormones secreted from adipose tissue (AT), and a number of them have been established as risk factors for chronic diseases. However, it is not clear whether and to what extent adiposity, gene expression, and other factors determine their circulating levels.

objectivesTo assess to what extent adiposity, as measured by the amount of subcutaneous AT (SAT) and visceral AT (VAT) using magnetic resonance imaging, and gene expression levels in SAT determine plasma concentrations of the adipokines adiponectin, leptin, soluble leptin receptor, resistin, interleukin 6, and fatty acid-binding protein 4 (FABP4).

methodsWe performed a cross-sectional analysis of 156 participants from the EPIC Potsdam cohort study and analyzed multiple regression models and partial correlation coefficients.

resultsFor leptin and FABP4 concentrations, 81 and 45% variance were explained by SAT mass, VAT mass, and gene expression in SAT in multivariable regression models. For the remaining adipokines, AT mass and gene expression explained <16% variance of plasma concentrations. Gene expression in SAT was a less important predictor compared to AT mass. SAT mass was a better predictor than VAT mass for leptin (partial correlation r = 0.81, 95% confidence interval 0.75-0.86, vs. r = 0.58, 95% confidence interval 0.46-0.67), while differences between AT compartments were small for the other adipokines.

conclusionsWhile plasma levels of leptin and FABP4 can be explained in a large and medium part by the amount of AT and SAT gene expression, surprisingly, these predictors explained only little variance for all other investigated adipokines.

Indexed as

Body Fat DistributionAdipokinesAdipose TissueAdiposityAdultAgedCohort StudiesCross-Sectional StudiesFemaleGene ExpressionHumansIntra-Abdominal FatMagnetic Resonance ImagingMaleMiddle AgedSubcutaneous FatAdipokinesAdipokinesAdipose tissue gene expressionAnthropometric measuresCross-sectional studyMagnetic resonance imaging scans

Identifiers

PMID31698359
PMCPMC6940469
OpenAlexW2987632808

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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.