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Published on: May 23, 2011
Childhood growth and neurocognition are associated with distinct sets of metabolites
G Brett Moreau1, Girija Ramakrishnan1, Heather L Cook2
1Division of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA.
Insights
Childhood undernutrition impacts development. Metabolite analysis reveals distinct early-life biomarkers for growth and later neurocognitive outcomes, suggesting targeted interventions are needed.
Area of Science:
- Nutritional science
- Developmental pediatrics
- Metabolomics
Background:
- Undernutrition is a global health issue affecting child development and long-term outcomes.
- Current interventions for undernutrition have limited effectiveness.
- Identifying metabolic pathways offers potential for novel intervention strategies.
Purpose of the Study:
- To investigate the associations between specific metabolites and child growth and neurocognitive development.
- To identify early-life metabolic biomarkers predictive of developmental trajectories.
Main Methods:
- Targeted metabolomic analysis of plasma samples from 130 children at 9 and 36 months.
- Assessed bile acids, acylcarnitines, amino acids, phosphatidylcholines, and sphingomyelins.
- Utilized correlation, penalized-linear regression, and random forest modeling to link metabolites with growth and neurocognitive outcomes at age four.
Main Results:
- Distinct metabolite profiles were associated with growth and neurocognitive outcomes.
- Improved growth correlated with higher hydroxy-sphingomyelin and essential amino acids, and lower acylcarnitines and bile acid conjugates.
- Neurocognitive scores were linked to phosphatidylcholine species and early inflammation markers, collectively explaining ~45% of outcome variation.
Conclusions:
- Early-life metabolites (9 months) predict growth, reflecting diet, enteric dysfunction, and microbiome status.
- Hydroxy-sphingomyelin is a key predictor of improved growth.
- Later metabolites (36 months) and inflammatory markers are associated with neurodevelopment, suggesting distinct metabolic targets for interventions.
Background:
Undernutrition is a serious global problem that contributes to increased child morbidity and mortality, impaired neurocognitive development, and decreased educational and economic attainment. Current interventions are only marginally effective, and identification of associated metabolic pathways can offer new strategies for intervention.
Methods:
Plasma samples were collected at 9 and 36 months from a subset of the PROVIDE child cohort (n = 130). Targeted metabolomics was performed on bile acids, acylcarnitines, amino acids, phosphatidylcholines, and sphingomyelins. Metabolic associations with linear growth and neurocognitive outcomes at four years were evaluated using correlation and penalized-linear regression analysis as well as conditional random forest modeling.
Findings:
Different metabolites were associated with growth and neurocognitive outcomes. Improved growth outcomes were associated with higher concentrations of hydroxy-sphingomyelin and essential amino acids and lower levels of acylcarnitines and bile acid conjugation. Neurocognitive scores were largely associated with phosphatidylcholine species and early metabolic indicators of inflammation. All metabolites identified explain ~45% of growth and neurocognitive variation.
Interpretation:
Growth outcomes were predominantly associated with metabolites measured early in life (9 months), many of which were biomarkers of insufficient diet, environmental enteric dysfunction, and microbiome disruption. Hydroxy-sphingomyelin was a significant predictor of improved growth. Neurocognitive outcome was predominantly associated with 36 month phosphatidylcholines and inflammatory metabolites, which may serve as important biomarkers of optimal neurodevelopment. The distinct sets of metabolites associated with growth and neurocognition suggest that intervention may require targeted approaches towards distinct metabolic pathways. FUND: Bill & Melinda Gates Foundation (OP1173478); National Institutes of Health (AI043596, CA044579).
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