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...
Saved in:
Main Authors: | , , , , , , , , , , , , , |
---|---|
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 |