Evidence map›Paper›PMID 31587110›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

Metabolomics: a search for biomarkers of visceral fat and liver fat content.

Sebastiaan Boone, Dennis Mook-Kanamori, Frits Rosendaal, Martin den Heijer, Hildo Lamb, Albert de Roos, Saskia le Cessie, Ko Willems van Dijk, Renée de Mutsert

Open access · hybridAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  4. Leveraging Multiomic Signatures to Predict Body Composition.Advances in nutrition (Bethesda, Md.) · 2026
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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

9 authors at 2 institutions in 1 country.

Sebastiaan BooneDepartment of Clinical Epidemiology, Leiden University Medical Center, Postal Zone C7-P, PO Box 9600, 2300 RC, Leiden, The Netherlands. s.c.boone@lumc.nl.
Dennis Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, Postal Zone C7-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Frits RosendaalDepartment of Clinical Epidemiology, Leiden University Medical Center, Postal Zone C7-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Martin den HeijerDepartment of Clinical Epidemiology, Leiden University Medical Center, Postal Zone C7-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Hildo LambDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Albert de RoosDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Saskia le CessieDepartment of Clinical Epidemiology, Leiden University Medical Center, Postal Zone C7-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Ko Willems van DijkDepartment of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Postal Zone C7-P, PO Box 9600, 2300 RC, Leiden, The Netherlands.
Leiden University Medical Center · NLAmsterdam UMC Location VUmc · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

intoductionExcess visceral and liver fat are known risk factors for cardiometabolic disorders. Metabolomics might allow for easier quantification of these ectopic fat depots, instead of using invasive and costly tools such as MRI or approximations such as waist circumference.

objectiveWe explored the potential use of plasma metabolites as biomarkers of visceral adipose tissue (VAT) and hepatic triglyceride content (HTGC).

methodsWe performed a cross-sectional analysis of a subset of the Netherlands Epidemiology of Obesity study. Plasma metabolite profiles were determined using the Biocrates AbsoluteIDQ p150 kit in 176 individuals with normal fasting plasma glucose. VAT was assessed with magnetic resonance imaging and HTGC with proton-MR spectroscopy. We used linear regression to investigate the associations of 190 metabolite variables with VAT and HTGC.

resultsAfter adjustment for age, sex, total body fat, currently used approximations of visceral and liver fat, and multiple testing, three metabolite ratios were associated with VAT. The strongest association was the lysophosphatidylcholines to total phosphatidylcholines (PCs) ratio [- 14.1 (95% CI - 21.7; - 6.6) cm

conclusionMetabolomics may be a useful tool to identify biomarkers of visceral fat and liver fat content that have added diagnostic value over current approximations. Replication studies are required to validate the diagnostic value of these metabolites.

Indexed as

Adipose TissueAgedBiomarkersBlood GlucoseBody Mass IndexCross-Sectional StudiesFemaleHumansIntra-Abdominal FatLiverMaleMetabolomicsMiddle AgedNetherlandsObesityPlasmaBiomarkersBlood GlucoseTriglyceridesBiomarkersLiver fatMetabolomicsVisceral adipose tissue

Identifiers

PMID31587110
PMCPMC6778586
OpenAlexW2978524284

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.