Cargando…
Metabolomic determinants of metabolic risk in Mexican adolescents
OBJECTIVE: To identify metabolites associated with metabolic risk, separately by sex, in Mexican adolescents. METHODS: We carried out untargeted metabolomic profiling on fasting serum of 238 youth age 8–14 years, and identified metabolites associated with a metabolic syndrome risk z-score (MetRisk z...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573626/ https://www.ncbi.nlm.nih.gov/pubmed/28758362 http://dx.doi.org/10.1002/oby.21926 |
_version_ | 1783259689171025920 |
---|---|
author | Perng, Wei Hector, Emily C. Song, Peter X.K. Rojo, Martha Maria Tellez Raskind, Sasha Kachman, Maureen Cantoral, Alejandra Burant, Charles F. Peterson, Karen E. |
author_facet | Perng, Wei Hector, Emily C. Song, Peter X.K. Rojo, Martha Maria Tellez Raskind, Sasha Kachman, Maureen Cantoral, Alejandra Burant, Charles F. Peterson, Karen E. |
author_sort | Perng, Wei |
collection | PubMed |
description | OBJECTIVE: To identify metabolites associated with metabolic risk, separately by sex, in Mexican adolescents. METHODS: We carried out untargeted metabolomic profiling on fasting serum of 238 youth age 8–14 years, and identified metabolites associated with a metabolic syndrome risk z-score (MetRisk z-score), separately for boys and girls using the simulation and extrapolation (SIMEX) algorithm. We examined associations of each metabolite with MetRisk z-score using linear regression models that accounted for maternal education, child’s age, and pubertal status. RESULTS: Of the 938 features identified in metabolomics analysis, 7 named compounds (of 27 identified metabolites) were associated with MetRisk z-score in girls, and 3 named compounds (of 14 identified) were associated with MetRisk z-score in boys. In girls, diacylglycerol (DG) 16:0/16:0, 1,3-dielaidin, myo-inositol, and urate corresponded with higher MetRisk z-score, whereas N-acetylglycine, thymine, and dodecenedioic acid were associated with lower MetRisk z-score. For example, each z-score increment in DG 16:0/16:0 corresponded with 0.60 (0.47, 0.74). In boys, we found positive associations of DG 16:0/16:0, tyrosine, and 5′-methylthioadenosine with MetRisk z-score. CONCLUSIONS: Metabolites on lipid, amino acid, and carbohydrate metabolism pathways are associated with metabolic risk in girls. Compounds on lipid and DNA pathways correspond with metabolic risk in boys. |
format | Online Article Text |
id | pubmed-5573626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-55736262018-01-31 Metabolomic determinants of metabolic risk in Mexican adolescents Perng, Wei Hector, Emily C. Song, Peter X.K. Rojo, Martha Maria Tellez Raskind, Sasha Kachman, Maureen Cantoral, Alejandra Burant, Charles F. Peterson, Karen E. Obesity (Silver Spring) Article OBJECTIVE: To identify metabolites associated with metabolic risk, separately by sex, in Mexican adolescents. METHODS: We carried out untargeted metabolomic profiling on fasting serum of 238 youth age 8–14 years, and identified metabolites associated with a metabolic syndrome risk z-score (MetRisk z-score), separately for boys and girls using the simulation and extrapolation (SIMEX) algorithm. We examined associations of each metabolite with MetRisk z-score using linear regression models that accounted for maternal education, child’s age, and pubertal status. RESULTS: Of the 938 features identified in metabolomics analysis, 7 named compounds (of 27 identified metabolites) were associated with MetRisk z-score in girls, and 3 named compounds (of 14 identified) were associated with MetRisk z-score in boys. In girls, diacylglycerol (DG) 16:0/16:0, 1,3-dielaidin, myo-inositol, and urate corresponded with higher MetRisk z-score, whereas N-acetylglycine, thymine, and dodecenedioic acid were associated with lower MetRisk z-score. For example, each z-score increment in DG 16:0/16:0 corresponded with 0.60 (0.47, 0.74). In boys, we found positive associations of DG 16:0/16:0, tyrosine, and 5′-methylthioadenosine with MetRisk z-score. CONCLUSIONS: Metabolites on lipid, amino acid, and carbohydrate metabolism pathways are associated with metabolic risk in girls. Compounds on lipid and DNA pathways correspond with metabolic risk in boys. 2017-07-31 2017-09 /pmc/articles/PMC5573626/ /pubmed/28758362 http://dx.doi.org/10.1002/oby.21926 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Perng, Wei Hector, Emily C. Song, Peter X.K. Rojo, Martha Maria Tellez Raskind, Sasha Kachman, Maureen Cantoral, Alejandra Burant, Charles F. Peterson, Karen E. Metabolomic determinants of metabolic risk in Mexican adolescents |
title | Metabolomic determinants of metabolic risk in Mexican adolescents |
title_full | Metabolomic determinants of metabolic risk in Mexican adolescents |
title_fullStr | Metabolomic determinants of metabolic risk in Mexican adolescents |
title_full_unstemmed | Metabolomic determinants of metabolic risk in Mexican adolescents |
title_short | Metabolomic determinants of metabolic risk in Mexican adolescents |
title_sort | metabolomic determinants of metabolic risk in mexican adolescents |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573626/ https://www.ncbi.nlm.nih.gov/pubmed/28758362 http://dx.doi.org/10.1002/oby.21926 |
work_keys_str_mv | AT perngwei metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT hectoremilyc metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT songpeterxk metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT rojomarthamariatellez metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT raskindsasha metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT kachmanmaureen metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT cantoralalejandra metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT burantcharlesf metabolomicdeterminantsofmetabolicriskinmexicanadolescents AT petersonkarene metabolomicdeterminantsofmetabolicriskinmexicanadolescents |