Evidence map›Paper›PMID 28758372›Full record

ArticleObesity (Silver Spring, Md.)2017

Metabolomic Profiling of Long-Term Weight Change: Role of Oxidative Stress and Urate Levels in Weight Gain.

Cristina Menni, Marie Migaud, Gabi Kastenmüller, Tess Pallister, Jonas Zierer, Annette Peters, Robert P Mohney, Tim D Spector, Vincenzo Bagnardi, Christian Gieger and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Uric acid participating in female reproductive disorders: a review.Reproductive biology and endocrinology : RB&E · 2021
    Review
  18. Review
  19. Review
  20. 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

12 authors at 7 institutions in 4 countries.

Cristina MenniDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Marie MigaudMitchell Cancer Institute, University of South Alabama, Mobile, Alabama, USA.
Gabi KastenmüllerDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Tess PallisterDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Jonas ZiererDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Annette PetersInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Robert P MohneyMetabolon, Inc, Durham, North Carolina, USA.ORCID 0000-0002-9315-9541
Tim D SpectorDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.
Vincenzo BagnardiDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
Christian GiegerInstitute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
Steve C MooreDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Ana M ValdesDepartment of Twin Research & Genetic Epidemiology, King's College London, London, UK.ORCID 0000-0003-1141-4471
King's College London · GBHelmholtz Zentrum München · DEMetabolon (United States) · USNational Institutes of Health · USUniversity of Milano-Bicocca · ITUniversity of Nottingham · GBUSA Mitchell Cancer Institute · US

Funding

Physical Activity, Energy Balance, and CancerZIACP010197 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$17.5M
British Heart Foundation SP/14/8/31352Medical Research Council MR/M016560/1
6 · The paper itself

Abstract

objectiveTo investigate the association between long-term weight change and blood metabolites.

methodsChange in BMI over 8.6 ± 3.79 years was assessed in 3,176 females from the TwinsUK cohort (age range: 18.3-79.6, baseline BMI: 25.11 ± 4.35) measured for 280 metabolites at follow-up. Statistically significant metabolites (adjusting for covariates) were included in a multivariable least absolute shrinkage and selection operator (LASSO) model. Findings were replicated in the Cooperative Health Research in the Region of Augsburg (KORA) study (n = 1,760; age range: 25-70, baseline BMI: 27.72 ± 4.53). The study examined whether the metabolites identified could prospectively predict weight change in KORA and in the Prostate, Lung, Colorectal, and Ovarian Cancer (PLCO) study (n = 471; age range: 55-74, baseline BMI: 27.24 ± 5.37).

resultsThirty metabolites were significantly associated with change in BMI per year in TwinsUK using Bonferroni correction. Four were independently associated with weight change in the multivariable LASSO model and replicated in KORA: namely, urate (meta-analysis β [95% CI] = 0.05 [0.040 to 0.063]; P = 1.37 × 10

conclusionsMetabolites linked to higher oxidative stress are associated with increased long-term weight gain.

Indexed as

Body Mass IndexAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMetabolomicsMiddle AgedOxidative StressUric AcidWeight GainUric Acid

Identifiers

PMID28758372
PMCPMC5601206
OpenAlexW2786833611

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.