Evidence map›Paper›PMID 24039943›Full record

ArticlePloS one2013

Topographical body fat distribution links to amino acid and lipid metabolism in healthy obese women [corrected].

Francois-Pierre J Martin, Ivan Montoliu, Sebastiano Collino, Max Scherer, Philippe Guy, Isabelle Tavazzi, Anita Thorimbert, Sofia Moco, Megan P Rothney, David L Ergun and 6 more

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Integration of whole-body [Scientific reports · 2020
    Observational
  8. Article
  9. Metabolomics: a search for biomarkers of visceral fat and liver fat content.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  10. Article
  11. Gene-Environment Interactions on Body Fat Distribution.International journal of molecular sciences · 2019
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Lipidomics to Assess Omega 3 Bioactivity.Journal of clinical medicine · 2015
    Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

16 authors.

Francois-Pierre J MartinMetabolomics and Biomarkers, Nestec Ltd., Nestle Research Center, Lausanne, Switzerland.
Ivan Montoliu
Sebastiano Collino
Max Scherer
Philippe Guy
Isabelle Tavazzi
Anita Thorimbert
Sofia Moco
Megan P Rothney
David L Ergun
Maurice Beaumont
Fiona Ginty
Salah D Qanadli
Lucie Favre
Vittorio Giusti
Serge Rezzi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral adiposity is increasingly recognized as a key condition for the development of obesity related disorders, with the ratio between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) reported as the best correlate of cardiometabolic risk. In this study, using a cohort of 40 obese females (age: 25-45 y, BMI: 28-40 kg/m(2)) under healthy clinical conditions and monitored over a 2 weeks period we examined the relationships between different body composition parameters, estimates of visceral adiposity and blood/urine metabolic profiles. Metabonomics and lipidomics analysis of blood plasma and urine were employed in combination with in vivo quantitation of body composition and abdominal fat distribution using iDXA and computerized tomography. Of the various visceral fat estimates, VAT/SAT and VAT/total abdominal fat ratios exhibited significant associations with regio-specific body lean and fat composition. The integration of these visceral fat estimates with metabolic profiles of blood and urine described a distinct amino acid, diacyl and ether phospholipid phenotype in women with higher visceral fat. Metabolites important in predicting visceral fat adiposity as assessed by Random forest analysis highlighted 7 most robust markers, including tyrosine, glutamine, PC-O 44∶6, PC-O 44∶4, PC-O 42∶4, PC-O 40∶4, and PC-O 40∶3 lipid species. Unexpectedly, the visceral fat associated inflammatory profiles were shown to be highly influenced by inter-days and between-subject variations. Nevertheless, the visceral fat associated amino acid and lipid signature is proposed to be further validated for future patient stratification and cardiometabolic health diagnostics.

Indexed as

Body Fat DistributionLipid MetabolismAdultAmino AcidsBody Mass IndexFemaleHumansIntra-Abdominal FatLipidsMiddle AgedObesitySubcutaneous FatAmino AcidsLipids

Identifiers

PMID24039943
PMCPMC3770640

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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.