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OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries

Newborn adiposity is associated with a higher risk of childhood obesity and earlier onset of co-morbid metabolic diseases such as type 2 diabetes mellitus. The cord blood metabolome is one early life marker that provides mechanistic insight into fetal fat deposition, insulin sensitivity, and future...

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Autores principales: Kadakia, Rachel, Talbot, Octavious, Kuang, Alan, Bain, James, Muehlbauer, Michael, Stevens, Robert, Ilkayeva, Olga, Lowe, Lynn, Metzger, Boyd, Newgard, Christopher, Scholtens, Denise, Lowe, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Endocrine Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554782/
http://dx.doi.org/10.1210/js.2019-OR07-1
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author Kadakia, Rachel
Talbot, Octavious
Kuang, Alan
Bain, James
Muehlbauer, Michael
Stevens, Robert
Ilkayeva, Olga
Lowe, Lynn
Metzger, Boyd
Newgard, Christopher
Scholtens, Denise
Lowe, William
author_facet Kadakia, Rachel
Talbot, Octavious
Kuang, Alan
Bain, James
Muehlbauer, Michael
Stevens, Robert
Ilkayeva, Olga
Lowe, Lynn
Metzger, Boyd
Newgard, Christopher
Scholtens, Denise
Lowe, William
author_sort Kadakia, Rachel
collection PubMed
description Newborn adiposity is associated with a higher risk of childhood obesity and earlier onset of co-morbid metabolic diseases such as type 2 diabetes mellitus. The cord blood metabolome is one early life marker that provides mechanistic insight into fetal fat deposition, insulin sensitivity, and future obesity and metabolic disease risk and integrates in-utero genetic, nutritional and metabolic cues that contribute to newborn phenotype. We hypothesize that a unique cord blood metabolomic signature associated with newborn adiposity or hyperinsulinemia might emerge as a predictive tool to help identify at-risk children early in life, before disease develops. To evaluate this hypothesis, we performed a cross-sectional, observational study of 1600 newborns who participated in the Hyperglycemia and Adverse Pregnancy Outcome Study. Targeted and nontargeted metabolomics assays were performed on cord blood of newborns across four ancestry groups (Afro-Caribbean, Northern European, Thai, and Mexican American). Newborn birth weight and sum of skinfolds were measured by trained personnel and cord blood was additionally assayed for C-peptide. Associations of cord blood metabolites with newborn phenotype were investigated using 1) per-metabolite analyses within and across ancestries and 2) network analyses to identify interconnected metabolites associated with phenotypes. Several metabolites, including branched-chain amino acids, medium- and long-chain acylcarnitines, nonesterified fatty acids, and triglycerides were significantly negatively associated with cord C-peptide but positively associated with birth weight and/or sum of skinfolds. 1,5-Anhydroglucitol was significantly associated with birth weight and sum of skinfolds in nontargeted metabolite analyses. Network analyses revealed groups of interrelated amino acid, acylcarnitine, and fatty acid metabolites associated with all three newborn outcomes. In conclusion, cord blood metabolites are associated with newborn size and cord C-peptide, even after adjustment for maternal BMI and glucose during pregnancy. The paradoxical inverse association of metabolites with cord blood C-peptide suggests that the metabolite-insulin relationship reverses at a critical point in childhood to the well-described positive association seen in adolescents and adults. The well-known associations of branched chain amino acids and medium- and long-chain acylcarnitines with obesity in adolescents and adults appears to begin at birth and might serve as an early-life marker of obesity risk.
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spelling pubmed-65547822019-06-13 OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries Kadakia, Rachel Talbot, Octavious Kuang, Alan Bain, James Muehlbauer, Michael Stevens, Robert Ilkayeva, Olga Lowe, Lynn Metzger, Boyd Newgard, Christopher Scholtens, Denise Lowe, William J Endocr Soc Pediatric Endocrinology Newborn adiposity is associated with a higher risk of childhood obesity and earlier onset of co-morbid metabolic diseases such as type 2 diabetes mellitus. The cord blood metabolome is one early life marker that provides mechanistic insight into fetal fat deposition, insulin sensitivity, and future obesity and metabolic disease risk and integrates in-utero genetic, nutritional and metabolic cues that contribute to newborn phenotype. We hypothesize that a unique cord blood metabolomic signature associated with newborn adiposity or hyperinsulinemia might emerge as a predictive tool to help identify at-risk children early in life, before disease develops. To evaluate this hypothesis, we performed a cross-sectional, observational study of 1600 newborns who participated in the Hyperglycemia and Adverse Pregnancy Outcome Study. Targeted and nontargeted metabolomics assays were performed on cord blood of newborns across four ancestry groups (Afro-Caribbean, Northern European, Thai, and Mexican American). Newborn birth weight and sum of skinfolds were measured by trained personnel and cord blood was additionally assayed for C-peptide. Associations of cord blood metabolites with newborn phenotype were investigated using 1) per-metabolite analyses within and across ancestries and 2) network analyses to identify interconnected metabolites associated with phenotypes. Several metabolites, including branched-chain amino acids, medium- and long-chain acylcarnitines, nonesterified fatty acids, and triglycerides were significantly negatively associated with cord C-peptide but positively associated with birth weight and/or sum of skinfolds. 1,5-Anhydroglucitol was significantly associated with birth weight and sum of skinfolds in nontargeted metabolite analyses. Network analyses revealed groups of interrelated amino acid, acylcarnitine, and fatty acid metabolites associated with all three newborn outcomes. In conclusion, cord blood metabolites are associated with newborn size and cord C-peptide, even after adjustment for maternal BMI and glucose during pregnancy. The paradoxical inverse association of metabolites with cord blood C-peptide suggests that the metabolite-insulin relationship reverses at a critical point in childhood to the well-described positive association seen in adolescents and adults. The well-known associations of branched chain amino acids and medium- and long-chain acylcarnitines with obesity in adolescents and adults appears to begin at birth and might serve as an early-life marker of obesity risk. Endocrine Society 2019-04-30 /pmc/articles/PMC6554782/ http://dx.doi.org/10.1210/js.2019-OR07-1 Text en Copyright © 2019 Endocrine Society https://creativecommons.org/licenses/by-nc-nd/4.0/ This article has been published under the terms of the Creative Commons Attribution Non-Commercial, No-Derivatives License (CC BY-NC-ND; https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Pediatric Endocrinology
Kadakia, Rachel
Talbot, Octavious
Kuang, Alan
Bain, James
Muehlbauer, Michael
Stevens, Robert
Ilkayeva, Olga
Lowe, Lynn
Metzger, Boyd
Newgard, Christopher
Scholtens, Denise
Lowe, William
OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries
title OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries
title_full OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries
title_fullStr OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries
title_full_unstemmed OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries
title_short OR07-1 Cord Blood Metabolomics: Association with Newborn Anthropometrics and C-Peptide across Ancestries
title_sort or07-1 cord blood metabolomics: association with newborn anthropometrics and c-peptide across ancestries
topic Pediatric Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554782/
http://dx.doi.org/10.1210/js.2019-OR07-1
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