Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)

Background: The role of circulating metabolites on child development is understudied. We investigated associations between children’s serum metabolome and early childhood development (ECD). Methods: Untargeted metabolomics was performed on serum samples of 5004 children aged 6–59 months, a subset of...

Full description

Saved in:
Bibliographic Details
Main Authors: Marina Padilha, Victor Nahuel Keller, Paula Normando, Raquel M Schincaglia, Nathalia C Freitas-Costa, Samary SR Freire, Felipe M Delpino, Inês RR de Castro, Elisa MA Lacerda, Dayana R Farias, Zachary Kroezen, Meera Shanmuganathan, Philip Britz-Mckibbin, Gilberto Kac
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2025-01-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/97982
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1825201892558372864
author Marina Padilha
Victor Nahuel Keller
Paula Normando
Raquel M Schincaglia
Nathalia C Freitas-Costa
Samary SR Freire
Felipe M Delpino
Inês RR de Castro
Elisa MA Lacerda
Dayana R Farias
Zachary Kroezen
Meera Shanmuganathan
Philip Britz-Mckibbin
Gilberto Kac
author_facet Marina Padilha
Victor Nahuel Keller
Paula Normando
Raquel M Schincaglia
Nathalia C Freitas-Costa
Samary SR Freire
Felipe M Delpino
Inês RR de Castro
Elisa MA Lacerda
Dayana R Farias
Zachary Kroezen
Meera Shanmuganathan
Philip Britz-Mckibbin
Gilberto Kac
author_sort Marina Padilha
collection DOAJ
description Background: The role of circulating metabolites on child development is understudied. We investigated associations between children’s serum metabolome and early childhood development (ECD). Methods: Untargeted metabolomics was performed on serum samples of 5004 children aged 6–59 months, a subset of participants from the Brazilian National Survey on Child Nutrition (ENANI-2019). ECD was assessed using the Survey of Well-being of Young Children’s milestones questionnaire. The graded response model was used to estimate developmental age. Developmental quotient (DQ) was calculated as the developmental age divided by chronological age. Partial least square regression selected metabolites with a variable importance projection ≥1. The interaction between significant metabolites and the child’s age was tested. Results: Twenty-eight top-ranked metabolites were included in linear regression models adjusted for the child’s nutritional status, diet quality, and infant age. Cresol sulfate (β=–0.07; adjusted-p <0.001), hippuric acid (β=–0.06; adjusted-p <0.001), phenylacetylglutamine (β=–0.06; adjusted-p <0.001), and trimethylamine-N-oxide (β=–0.05; adjusted-p=0.002) showed inverse associations with DQ. We observed opposite directions in the association of DQ for creatinine (for children aged –1 SD: β=–0.05; pP=0.01;+1 SD: β=0.05; p=0.02) and methylhistidine (–1 SD: β = - 0.04; p=0.04;+1 SD: β=0.04; p=0.03). Conclusions: Serum biomarkers, including dietary and microbial-derived metabolites involved in the gut-brain axis, may potentially be used to track children at risk for developmental delays. Funding: Supported by the Brazilian Ministry of Health and the Brazilian National Research Council.
format Article
id doaj-art-3ec4bc95963446bca822b32a1c8717e5
institution Kabale University
issn 2050-084X
language English
publishDate 2025-01-01
publisher eLife Sciences Publications Ltd
record_format Article
series eLife
spelling doaj-art-3ec4bc95963446bca822b32a1c8717e52025-02-07T16:06:32ZengeLife Sciences Publications LtdeLife2050-084X2025-01-011410.7554/eLife.97982Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)Marina Padilha0https://orcid.org/0000-0002-1736-0411Victor Nahuel Keller1https://orcid.org/0000-0002-4444-272XPaula Normando2Raquel M Schincaglia3Nathalia C Freitas-Costa4https://orcid.org/0000-0003-1798-0087Samary SR Freire5https://orcid.org/0000-0001-7326-1058Felipe M Delpino6Inês RR de Castro7Elisa MA Lacerda8Dayana R Farias9Zachary Kroezen10https://orcid.org/0000-0001-9415-7604Meera Shanmuganathan11Philip Britz-Mckibbin12Gilberto Kac13https://orcid.org/0000-0001-8603-9077Department of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social Nutrition, Institute of Nutrition, State University of Rio de Janeiro, Rio de Janeiro, BrazilDepartment of Nutrition and Dietetics, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, CanadaDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, CanadaDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, CanadaDepartment of Social and Applied Nutrition, Federal University of Rio de Janeiro, Josué de Castro Nutrition Institute, Rio de Janeiro, BrazilBackground: The role of circulating metabolites on child development is understudied. We investigated associations between children’s serum metabolome and early childhood development (ECD). Methods: Untargeted metabolomics was performed on serum samples of 5004 children aged 6–59 months, a subset of participants from the Brazilian National Survey on Child Nutrition (ENANI-2019). ECD was assessed using the Survey of Well-being of Young Children’s milestones questionnaire. The graded response model was used to estimate developmental age. Developmental quotient (DQ) was calculated as the developmental age divided by chronological age. Partial least square regression selected metabolites with a variable importance projection ≥1. The interaction between significant metabolites and the child’s age was tested. Results: Twenty-eight top-ranked metabolites were included in linear regression models adjusted for the child’s nutritional status, diet quality, and infant age. Cresol sulfate (β=–0.07; adjusted-p <0.001), hippuric acid (β=–0.06; adjusted-p <0.001), phenylacetylglutamine (β=–0.06; adjusted-p <0.001), and trimethylamine-N-oxide (β=–0.05; adjusted-p=0.002) showed inverse associations with DQ. We observed opposite directions in the association of DQ for creatinine (for children aged –1 SD: β=–0.05; pP=0.01;+1 SD: β=0.05; p=0.02) and methylhistidine (–1 SD: β = - 0.04; p=0.04;+1 SD: β=0.04; p=0.03). Conclusions: Serum biomarkers, including dietary and microbial-derived metabolites involved in the gut-brain axis, may potentially be used to track children at risk for developmental delays. Funding: Supported by the Brazilian Ministry of Health and the Brazilian National Research Council.https://elifesciences.org/articles/97982child developmentmetabolomicsnutrition
spellingShingle Marina Padilha
Victor Nahuel Keller
Paula Normando
Raquel M Schincaglia
Nathalia C Freitas-Costa
Samary SR Freire
Felipe M Delpino
Inês RR de Castro
Elisa MA Lacerda
Dayana R Farias
Zachary Kroezen
Meera Shanmuganathan
Philip Britz-Mckibbin
Gilberto Kac
Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)
eLife
child development
metabolomics
nutrition
title Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)
title_full Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)
title_fullStr Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)
title_full_unstemmed Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)
title_short Serum metabolome indicators of early childhood development in the Brazilian National Survey on Child Nutrition (ENANI-2019)
title_sort serum metabolome indicators of early childhood development in the brazilian national survey on child nutrition enani 2019
topic child development
metabolomics
nutrition
url https://elifesciences.org/articles/97982
work_keys_str_mv AT marinapadilha serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT victornahuelkeller serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT paulanormando serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT raquelmschincaglia serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT nathaliacfreitascosta serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT samarysrfreire serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT felipemdelpino serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT inesrrdecastro serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT elisamalacerda serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT dayanarfarias serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT zacharykroezen serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT meerashanmuganathan serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT philipbritzmckibbin serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019
AT gilbertokac serummetabolomeindicatorsofearlychildhooddevelopmentinthebraziliannationalsurveyonchildnutritionenani2019