Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity

Obesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children h...

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Main Authors: Lukasz Szczerbinski, Gladys Wojciechowska, Adam Olichwier, Mark A. Taylor, Urszula Puchta, Paulina Konopka, Adam Paszko, Anna Citko, Joanna Goscik, Oliver Fiehn, Sili Fan, Anna Wasilewska, Katarzyna Taranta-Janusz, Adam Kretowski
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/14/1/214
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author Lukasz Szczerbinski
Gladys Wojciechowska
Adam Olichwier
Mark A. Taylor
Urszula Puchta
Paulina Konopka
Adam Paszko
Anna Citko
Joanna Goscik
Oliver Fiehn
Sili Fan
Anna Wasilewska
Katarzyna Taranta-Janusz
Adam Kretowski
author_facet Lukasz Szczerbinski
Gladys Wojciechowska
Adam Olichwier
Mark A. Taylor
Urszula Puchta
Paulina Konopka
Adam Paszko
Anna Citko
Joanna Goscik
Oliver Fiehn
Sili Fan
Anna Wasilewska
Katarzyna Taranta-Janusz
Adam Kretowski
author_sort Lukasz Szczerbinski
collection DOAJ
description Obesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children have not been thoroughly investigated. Herein, we explored metabolites associated with obesity development in childhood. Untargeted metabolomic profiling was performed on fasting serum samples from 27 obese Caucasian children and adolescents and 15 sex- and age-matched normal-weight children. Three metabolomic assays were combined and yielded 726 unique identified metabolites: gas chromatography–mass spectrometry (GC–MS), hydrophilic interaction liquid chromatography coupled to mass spectrometry (HILIC LC–MS/MS), and lipidomics. Univariate and multivariate analyses showed clear discrimination between the untargeted metabolomes of obese and normal-weight children, with 162 significantly differentially expressed metabolites between groups. Children with obesity had higher concentrations of branch-chained amino acids and various lipid metabolites, including phosphatidylcholines, cholesteryl esters, triglycerides. Thus, an early manifestation of obesity pathogenesis and its metabolic consequences in the serum metabolome are correlated with altered lipid metabolism. Obesity metabolite patterns in the adult population were very similar to the metabolic signature of childhood obesity. Identified metabolites could be potential biomarkers and used to study obesity pathomechanisms.
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spelling doaj.art-6d0d6ef8e5be4ec99b374ace95e15fe62023-11-23T12:05:58ZengMDPI AGNutrients2072-66432022-01-0114121410.3390/nu14010214Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood ObesityLukasz Szczerbinski0Gladys Wojciechowska1Adam Olichwier2Mark A. Taylor3Urszula Puchta4Paulina Konopka5Adam Paszko6Anna Citko7Joanna Goscik8Oliver Fiehn9Sili Fan10Anna Wasilewska11Katarzyna Taranta-Janusz12Adam Kretowski13Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandClinical Research Centre, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, USAWest Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, USADepartment of Pediatrics and Nephrology, Medical University of Bialystok, 15-274 Bialystok, PolandDepartment of Pediatrics and Nephrology, Medical University of Bialystok, 15-274 Bialystok, PolandDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Sklodowskiej-Curie 24A, 15-276 Bialystok, PolandObesity rates among children are growing rapidly worldwide, placing massive pressure on healthcare systems. Untargeted metabolomics can expand our understanding of the pathogenesis of obesity and elucidate mechanisms related to its symptoms. However, the metabolic signatures of obesity in children have not been thoroughly investigated. Herein, we explored metabolites associated with obesity development in childhood. Untargeted metabolomic profiling was performed on fasting serum samples from 27 obese Caucasian children and adolescents and 15 sex- and age-matched normal-weight children. Three metabolomic assays were combined and yielded 726 unique identified metabolites: gas chromatography–mass spectrometry (GC–MS), hydrophilic interaction liquid chromatography coupled to mass spectrometry (HILIC LC–MS/MS), and lipidomics. Univariate and multivariate analyses showed clear discrimination between the untargeted metabolomes of obese and normal-weight children, with 162 significantly differentially expressed metabolites between groups. Children with obesity had higher concentrations of branch-chained amino acids and various lipid metabolites, including phosphatidylcholines, cholesteryl esters, triglycerides. Thus, an early manifestation of obesity pathogenesis and its metabolic consequences in the serum metabolome are correlated with altered lipid metabolism. Obesity metabolite patterns in the adult population were very similar to the metabolic signature of childhood obesity. Identified metabolites could be potential biomarkers and used to study obesity pathomechanisms.https://www.mdpi.com/2072-6643/14/1/214childhood obesityuntargeted metabolomicslipidomicsobesity pathogenesisobesity biomarkersobesity pathomechanisms
spellingShingle Lukasz Szczerbinski
Gladys Wojciechowska
Adam Olichwier
Mark A. Taylor
Urszula Puchta
Paulina Konopka
Adam Paszko
Anna Citko
Joanna Goscik
Oliver Fiehn
Sili Fan
Anna Wasilewska
Katarzyna Taranta-Janusz
Adam Kretowski
Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
Nutrients
childhood obesity
untargeted metabolomics
lipidomics
obesity pathogenesis
obesity biomarkers
obesity pathomechanisms
title Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
title_full Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
title_fullStr Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
title_full_unstemmed Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
title_short Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
title_sort untargeted metabolomics analysis of the serum metabolic signature of childhood obesity
topic childhood obesity
untargeted metabolomics
lipidomics
obesity pathogenesis
obesity biomarkers
obesity pathomechanisms
url https://www.mdpi.com/2072-6643/14/1/214
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