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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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Accepted_Future Science_2018_fsoa-2017-0146.pdf | Published version | 1.29 MB | Adobe PDF | View/Open |
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