Evidence map›Paper›PMID 32001750›Full record

ArticleScientific reports2020

Associations between adipose tissue volume and small molecules in plasma and urine among asymptomatic subjects from the general population.

Lerina Otto, Kathrin Budde, Gabi Kastenmüller, Anne Kaul, Uwe Völker, Henry Völzke, Jerzy Adamski, Jens P Kühn, Jan Krumsiek, Anna Artati and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Trial
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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

13 authors.

Lerina OttoInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Kathrin BuddeInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Gabi KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0000-0002-2368-7322
Anne KaulInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Uwe VölkerDZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0002-5689-3448
Henry VölzkeDZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.
Jerzy AdamskiInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-9259-0199
Jens P KühnInstitute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0003-3258-930X
Jan KrumsiekICB (Institute of Computational Biology), Helmholtz Zentrum München, Neuherberg, 85764, Germany.ORCID http://orcid.org/0000-0003-4734-3791
Anna ArtatiInstitute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany.
Matthias NauckInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Nele FriedrichInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany.
Maik PietznerInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany. maik.pietzner@med.uni-greifswald.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is one of the major risk factor for cardiovascular and metabolic diseases. A disproportional accumulation of fat at visceral (VAT) compared to subcutaneous sites (SAT) has been suspected as a key detrimental event. We used non-targeted metabolomics profiling to reveal metabolic pathways associated with higher VAT or SAT amount among subjects free of metabolic diseases to identify possible contributing metabolic pathways. The study population comprised 491 subjects [mean (standard deviation): age 44.6 yrs (13.0), body mass index 25.4 kg/m² (3.6), 60.1% females] without diabetes, hypertension, dyslipidemia, the metabolic syndrome or impaired renal function. We associated MRI-derived fat amounts with mass spectrometry-derived metabolites in plasma and urine using linear regression models adjusting for major confounders. We tested for sex-specific effects using interactions terms and performed sensitivity analyses for the influence of insulin resistance on the results. VAT and SAT were significantly associated with 155 (101 urine) and 49 (29 urine) metabolites, respectively, of which 45 (27 urine) were common to both. Major metabolic pathways were branched-chain amino acid metabolism (partially independent of insulin resistance), surrogate markers of oxidative stress and gut microbial diversity, and cortisol metabolism. We observed a novel positive association between VAT and plasma levels of the potential pharmacological agent piperine. Sex-specific effects were only a few, e.g. the female-specific association between VAT and O-methylascorbate. In brief, higher VAT was associated with an unfavorable metabolite profile in a sample of healthy, mostly non-obese individuals from the general population and only few sex-specific associations became apparent.

Indexed as

Metabolic Networks and PathwaysAdipose TissueAdultAlkaloidsAscorbic AcidBenzodioxolesBiomarkersCross-Sectional StudiesFemaleHumansHydrocortisoneInsulin ResistanceIntra-Abdominal FatMagnetic Resonance ImagingMaleMetabolomeAlkaloidsAscorbic AcidBenzodioxolesBiomarkersHydrocortisonePiperidinespiperinePolyunsaturated Alkamides

Identifiers

PMID32001750
PMCPMC6992585

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.