ArticlePloS one2016
Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- Baseline gut microbiome and metabolome profiles predict weight loss after a structured lifestyle intervention.Microbiome · 2026Trial
- Serum metabolite patterns of adipose tissue distribution and body composition subphenotypes.Lipids in health and disease · 2026Article
- Serum metabolites characterize hepatic phenotypes and reveal shared pathways: results from population-based imaging.Molecular medicine (Cambridge, Mass.) · 2025Article
- Sustained Endurance Training Leads to Metabolomic Adaptation.Metabolites · 2022Article
- Sex influences DNA methylation and gene expression in human skeletal muscle myoblasts and myotubes.Stem cell research & therapy · 2019Article
- Determinants of the urinary and serum metabolome in children from six European populations.BMC medicine · 2018Article
- Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment.British journal of cancer · 2018Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOur study aims to identify metabolic markers associated with either a gain in abdominal (measured by waist circumference) or peripheral (measured by hip circumference) body fat mass.
methodsData of 4 126 weight-gaining adults (18-75 years) from three population-based, prospective German cohort studies (EPIC, KORA, DEGS) were analysed regarding a waist-gaining (WG) or hip-gaining phenotype (HG). The phenotypes were obtained by calculating the differences of annual changes in waist minus hip circumference. The difference was displayed for all cohorts. The highest 10% of this difference were defined as WG whereas the lowest 10% were defined as HG. A total of 121 concordant metabolite measurements were conducted using Biocrates AbsoluteIDQ® kits in EPIC and KORA. Sex-specific associations with metabolite concentration as independent and phenotype as the dependent variable adjusted for confounders were calculated. The Benjamini-Hochberg method was used to correct for multiple testing.
resultsAcross studies both sexes gained on average more waist than hip circumference. We could identify 12 metabolites as being associated with the WG (n = 8) or HG (n = 4) in men, but none were significant after correction for multiple testing; 45 metabolites were associated with the WG (n = 41) or HG (n = 4) in women. For WG, n = 21 metabolites remained significant after correction for multiple testing. Respective odds ratios (OR) ranged from 0.66 to 0.73 for tryptophan, the diacyl-phosphatidylcholines (PC) C32:3, C36:0, C38:0, C38:1, C42:2, C42:5, the acyl-alkyl-PCs C32:2, C34:0, C36:0, C36:1, C36:2, C38:0, C38:2, C40:1, C40:2, C40:5, C40:6, 42:2, C42:3 and lyso-PC C17:0.
conclusionBoth weight-gaining men and women showed a clear tendency to gain more abdominal than peripheral fat. Gain of abdominal fat seems to be related to an initial metabolic state reflected by low concentrations of specific metabolites, at least in women. Thus, higher levels of specific PCs may play a protective role in gaining waist circumference.
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