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Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire

We hypothesized metabolomic profiling could be utilized to identify children who scored poorly on the communication component of the Ages and Stages Questionnaire (ASQ); which assesses development in childhood, and to provide candidate biomarkers for autism spectrum disorders (ASD). In a population...

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Autores principales: Kelly, Rachel S., Boulin, Adrianna, Laranjo, Nancy, Lee-Sarwar, Kathleen, Chu, Su H., Yadama, Aishwarya P., Carey, Vincent, Litonjua, Augusto A., Lasky-Su, Jessica, Weiss, Scott T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468693/
https://www.ncbi.nlm.nih.gov/pubmed/30841573
http://dx.doi.org/10.3390/metabo9030042
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author Kelly, Rachel S.
Boulin, Adrianna
Laranjo, Nancy
Lee-Sarwar, Kathleen
Chu, Su H.
Yadama, Aishwarya P.
Carey, Vincent
Litonjua, Augusto A.
Lasky-Su, Jessica
Weiss, Scott T.
author_facet Kelly, Rachel S.
Boulin, Adrianna
Laranjo, Nancy
Lee-Sarwar, Kathleen
Chu, Su H.
Yadama, Aishwarya P.
Carey, Vincent
Litonjua, Augusto A.
Lasky-Su, Jessica
Weiss, Scott T.
author_sort Kelly, Rachel S.
collection PubMed
description We hypothesized metabolomic profiling could be utilized to identify children who scored poorly on the communication component of the Ages and Stages Questionnaire (ASQ); which assesses development in childhood, and to provide candidate biomarkers for autism spectrum disorders (ASD). In a population of three-year-old children, 15 plasma metabolites, were significantly (p < 0.05) different between children who were categorized as having communication skills that were “on schedule” (n = 365 (90.6%)) as compared to those “requiring further monitoring/evaluation” (n = 38 (9.4%)) according to multivariable regression models. Five of these metabolites, including three endocannabinoids, were also dysregulated at age one (n = 204 “on schedule”, n = 24 “further monitoring/evaluation”) in the same children. Stool metabolomic profiling identified 11 significant metabolites. Both the plasma and stool results implicated a role for tryptophan and tyrosine metabolism; in particular, higher levels of N-formylanthranilic acid were associated with an improved communication score in both biosample types. A model based on the significant plasma metabolites demonstrated high sensitivity (88.9%) and specificity (84.5%) for the prediction of autism by age 8. These results provide evidence that ASQ communication score and metabolomic profiling of plasma and/or stool may provide alternative approaches for early diagnosis of ASD, as well as insights into the pathobiology of these conditions.
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spelling pubmed-64686932019-04-22 Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire Kelly, Rachel S. Boulin, Adrianna Laranjo, Nancy Lee-Sarwar, Kathleen Chu, Su H. Yadama, Aishwarya P. Carey, Vincent Litonjua, Augusto A. Lasky-Su, Jessica Weiss, Scott T. Metabolites Article We hypothesized metabolomic profiling could be utilized to identify children who scored poorly on the communication component of the Ages and Stages Questionnaire (ASQ); which assesses development in childhood, and to provide candidate biomarkers for autism spectrum disorders (ASD). In a population of three-year-old children, 15 plasma metabolites, were significantly (p < 0.05) different between children who were categorized as having communication skills that were “on schedule” (n = 365 (90.6%)) as compared to those “requiring further monitoring/evaluation” (n = 38 (9.4%)) according to multivariable regression models. Five of these metabolites, including three endocannabinoids, were also dysregulated at age one (n = 204 “on schedule”, n = 24 “further monitoring/evaluation”) in the same children. Stool metabolomic profiling identified 11 significant metabolites. Both the plasma and stool results implicated a role for tryptophan and tyrosine metabolism; in particular, higher levels of N-formylanthranilic acid were associated with an improved communication score in both biosample types. A model based on the significant plasma metabolites demonstrated high sensitivity (88.9%) and specificity (84.5%) for the prediction of autism by age 8. These results provide evidence that ASQ communication score and metabolomic profiling of plasma and/or stool may provide alternative approaches for early diagnosis of ASD, as well as insights into the pathobiology of these conditions. MDPI 2019-03-05 /pmc/articles/PMC6468693/ /pubmed/30841573 http://dx.doi.org/10.3390/metabo9030042 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kelly, Rachel S.
Boulin, Adrianna
Laranjo, Nancy
Lee-Sarwar, Kathleen
Chu, Su H.
Yadama, Aishwarya P.
Carey, Vincent
Litonjua, Augusto A.
Lasky-Su, Jessica
Weiss, Scott T.
Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire
title Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire
title_full Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire
title_fullStr Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire
title_full_unstemmed Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire
title_short Metabolomics and Communication Skills Development in Children; Evidence from the Ages and Stages Questionnaire
title_sort metabolomics and communication skills development in children; evidence from the ages and stages questionnaire
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6468693/
https://www.ncbi.nlm.nih.gov/pubmed/30841573
http://dx.doi.org/10.3390/metabo9030042
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