Literature DB >> 23108202

Childhood obesity is associated with changes in the serum metabolite profile.

Simone Wahl1, Zhonghao Yu, Michaela Kleber, Paula Singmann, Christina Holzapfel, Ying He, Kirstin Mittelstrass, Alexey Polonikov, Cornelia Prehn, Werner Römisch-Margl, Jerzy Adamski, Karsten Suhre, Harald Grallert, Thomas Illig, Rui Wang-Sattler, Thomas Reinehr.   

Abstract

OBJECTIVE: The human serum metabolite profile is reflective of metabolic processes, including pathophysiological changes characteristic of diseases. Therefore, investigation of serum metabolite concentrations in obese children might give new insights into biological mechanisms associated with childhood obesity.
METHODS: Serum samples of 80 obese and 40 normal-weight children between 6 and 15 years of age were analyzed using a mass spectrometry-based metabolomics approach targeting 163 metabolites. Metabolite concentrations and metabolite ratios were compared between obese and normal-weight children as well as between children of different pubertal stages.
RESULTS: Metabolite concentration profiles of obese children could be distinguished from those of normal-weight children. After correction for multiple testing, we observed 14 metabolites (glutamine, methionine, proline, nine phospholipids, and two acylcarnitines, p < 3.8 × 10⁻⁴) and 69 metabolite ratios (p < 6.0 × 10⁻⁶) to be significantly altered in obese children. The identified metabolite markers are indicative of oxidative stress and of changes in sphingomyelin metabolism, in β-oxidation, and in pathways associated with energy expenditure. In contrast, pubertal stage was not associated with metabolite concentration differences.
CONCLUSION: Our study shows that childhood obesity influences the composition of the serum metabolome. If replicated in larger studies, the altered metabolites might be considered as potential biomarkers in the generation of new hypotheses on the biological mechanisms behind obesity.
Copyright © 2012 S. Karger GmbH, Freiburg.

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Year:  2012        PMID: 23108202     DOI: 10.1159/000343204

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   3.942


  65 in total

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4.  Metabolomic profiles and childhood obesity.

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Journal:  Obesity (Silver Spring)       Date:  2014-09-24       Impact factor: 5.002

5.  Untargeted metabolomics identifies a plasma sphingolipid-related signature associated with lifestyle intervention in prepubertal children with obesity.

Authors:  M J Leal-Witt; M Ramon-Krauel; S Samino; M Llobet; D Cuadras; J C Jimenez-Chillaron; O Yanes; C Lerin
Journal:  Int J Obes (Lond)       Date:  2017-08-17       Impact factor: 5.095

6.  Metabolites as novel biomarkers for childhood obesity-related traits in Mexican-American children.

Authors:  V S Farook; L Reddivari; G Chittoor; S Puppala; R Arya; S P Fowler; K J Hunt; J E Curran; A G Comuzzie; D M Lehman; C P Jenkinson; J L Lynch; R A DeFronzo; J Blangero; D E Hale; R Duggirala; J Vanamala
Journal:  Pediatr Obes       Date:  2014-11-18       Impact factor: 4.000

7.  Maternal cytokine status may prime the metabolic profile and increase risk of obesity in children.

Authors:  B Englich; G Herberth; U Rolle-Kampczyk; S Trump; S Röder; M Borte; G I Stangl; M von Bergen; I Lehmann; K M Junge
Journal:  Int J Obes (Lond)       Date:  2017-05-10       Impact factor: 5.095

8.  Applications of Metabolomics in the Study and Management of Preeclampsia; A Review of the Literature.

Authors:  Rachel S Kelly; Rachel T Giorgio; Bo L Chawes; Natalia I Palacios; Kathryn J Gray; Hoooman Mirzakhani; Ann Wu; Kevin Blighe; Scott T Weiss; Jessica Lasky-Su
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Review 9.  Metabolomics in childhood diabetes.

Authors:  Brigitte I Frohnert; Marian J Rewers
Journal:  Pediatr Diabetes       Date:  2015-09-30       Impact factor: 4.866

10.  Changes in the serum metabolite profile in obese children with weight loss.

Authors:  Thomas Reinehr; Barbara Wolters; Caroline Knop; Nina Lass; Christian Hellmuth; Ulrike Harder; Wolfgang Peissner; Simone Wahl; Harald Grallert; Jerzy Adamski; Thomas Illig; Cornelia Prehn; Zhonghao Yu; Rui Wang-Sattler; Berthold Koletzko
Journal:  Eur J Nutr       Date:  2014-04-17       Impact factor: 5.614

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