Specific metabolic markers are associated with future waist-gaining phenotype in women

Benedikt Merz, Ute Nöthlings, Simone Wahl, Marjolein Haftenberger, Anja Schienkiewitz, Jerzy Adamski, Karsten Suhre, Rui Wang-Sattler, Harald Grallert, Barbara Thorand, Tobias Pischon, Ursula Bachlechner, Anna Floegel, Annette Peters, Heiner Boeing

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Objective: Our 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. Methods: Data 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. Results: Across 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. Conclusion: Both 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.

Original languageEnglish
Article numbere0157733
JournalPLoS One
Volume11
Issue number6
DOIs
Publication statusPublished - 1 Jun 2016
Externally publishedYes

Fingerprint

waist
Metabolites
hips
Hip
Phenotype
phenotype
metabolites
Waist Circumference
Fats
Abdominal Fat
Phosphatidylcholines
waist circumference
Testing
weight gain
Weights and Measures
lysophosphatidylcholine
gender
Tryptophan
testing
abdominal fat

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Merz, B., Nöthlings, U., Wahl, S., Haftenberger, M., Schienkiewitz, A., Adamski, J., ... Boeing, H. (2016). Specific metabolic markers are associated with future waist-gaining phenotype in women. PLoS One, 11(6), [e0157733]. https://doi.org/10.1371/journal.pone.0157733

Specific metabolic markers are associated with future waist-gaining phenotype in women. / Merz, Benedikt; Nöthlings, Ute; Wahl, Simone; Haftenberger, Marjolein; Schienkiewitz, Anja; Adamski, Jerzy; Suhre, Karsten; Wang-Sattler, Rui; Grallert, Harald; Thorand, Barbara; Pischon, Tobias; Bachlechner, Ursula; Floegel, Anna; Peters, Annette; Boeing, Heiner.

In: PLoS One, Vol. 11, No. 6, e0157733, 01.06.2016.

Research output: Contribution to journalArticle

Merz, B, Nöthlings, U, Wahl, S, Haftenberger, M, Schienkiewitz, A, Adamski, J, Suhre, K, Wang-Sattler, R, Grallert, H, Thorand, B, Pischon, T, Bachlechner, U, Floegel, A, Peters, A & Boeing, H 2016, 'Specific metabolic markers are associated with future waist-gaining phenotype in women', PLoS One, vol. 11, no. 6, e0157733. https://doi.org/10.1371/journal.pone.0157733
Merz B, Nöthlings U, Wahl S, Haftenberger M, Schienkiewitz A, Adamski J et al. Specific metabolic markers are associated with future waist-gaining phenotype in women. PLoS One. 2016 Jun 1;11(6). e0157733. https://doi.org/10.1371/journal.pone.0157733
Merz, Benedikt ; Nöthlings, Ute ; Wahl, Simone ; Haftenberger, Marjolein ; Schienkiewitz, Anja ; Adamski, Jerzy ; Suhre, Karsten ; Wang-Sattler, Rui ; Grallert, Harald ; Thorand, Barbara ; Pischon, Tobias ; Bachlechner, Ursula ; Floegel, Anna ; Peters, Annette ; Boeing, Heiner. / Specific metabolic markers are associated with future waist-gaining phenotype in women. In: PLoS One. 2016 ; Vol. 11, No. 6.
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abstract = "Objective: Our 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. Methods: Data 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{\circledR} 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. Results: Across 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. Conclusion: Both 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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AU - Schienkiewitz, Anja

AU - Adamski, Jerzy

AU - Suhre, Karsten

AU - Wang-Sattler, Rui

AU - Grallert, Harald

AU - Thorand, Barbara

AU - Pischon, Tobias

AU - Bachlechner, Ursula

AU - Floegel, Anna

AU - Peters, Annette

AU - Boeing, Heiner

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N2 - Objective: Our 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. Methods: Data 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. Results: Across 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. Conclusion: Both 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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