Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27131
Title: Identification of metabolic phenotypes in childhood obesity by 1H NMR metabolomics of blood plasma
Authors: BERVOETS, Liene 
MASSA, Guy 
GUEDENS, Wanda 
REEKMANS, Gunter 
NOBEN, Jean-Paul 
ADRIAENSENS, Peter 
Issue Date: 2018
Source: Future science OA, 4(6) (Art N° FSO310)
Abstract: Aim: To identify the plasma metabolic profile associated with childhood obesity and its metabolic phenotypes. Materials & methods: The plasma metabolic profile of 65 obese and 37 normal-weight children was obtained using proton NMR spectroscopy. NMR spectra were rationally divided into 110 integration regions, which reflect relative metabolite concentrations, and were used as statistical variables. Results: Obese children show increased levels of lipids, N-acetyl glycoproteins, and lactate, and decreased levels of several amino acids, α-ketoglutarate, glucose, citrate, and cholinated phospholipids as compared with normal-weight children. Metabolically healthy children show lower levels of lipids and lactate, and higher levels of several amino acids and cholinated phospholipids, as compared with unhealthy children. Conclusion: This study reveals new valuable findings in the field of metabolomics and childhood obesity. Although validation should be performed, the proof of principle looks promising and justifies a deeper investigation of the diagnostic possibilities of proton NMR metabolomics in follow-up studies.
Keywords: amino acids; childhood obesity; metabolically healthy obesity; metabolic syndrome; metabolomics; multivariate analysis; N-acetyl glycoproteins; NMR spectroscopy; obesity; phospholipids
Document URI: http://hdl.handle.net/1942/27131
ISSN: 2056-5623
e-ISSN: 2056-5623
DOI: 10.4155/fsoa-2017-0146
ISI #: 000444915900002
Rights: This work is licensed under the Creative Commons Attribution 4.0 License. To view a copy of this license, visit http://creativecomm ons.org/licenses/by/4.0/
Category: A1
Type: Journal Contribution
Validations: vabb 2020
Appears in Collections:Research publications

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