Abstract

Enteric infections, enteropathy and undernutrition in early childhood are preventable risk factors for child deaths, impaired neurodevelopment, and later life metabolic diseases. However, the mechanisms linking these exposures and outcomes remain to be elucidated, as do biomarkers for identifying children at risk. By examining the urinary metabolic phenotypes of nourished and undernourished children participating in a case-control study in Semi-Arid Brazil, we identified key differences with potential relevance to mechanisms, biomarkers and outcomes. Undernutrition was found to perturb several biochemical pathways, including choline and tryptophan metabolism, while also increasing the proteolytic activity of the gut microbiome. Furthermore, a metabolic adaptation was observed in the undernourished children to reduce energy expenditure, reflected by increased N-methylnicotinamide and reduced β-aminoisobutyric acid excretion. Interestingly, accelerated catch-up growth was observed in those undernourished children displaying a more robust metabolic adaptation several months earlier. Hence, urinary N-methylnicotinamide and β-aminoisobutyric acid represent promising biomarkers for predicting short-term growth outcomes in undernourished children and for identifying children destined for further growth shortfalls. These findings have important implications for understanding contributors to long-term sequelae of early undernutrition, including cognitive, growth, and metabolic functions.

Highlights

  • Enteric infections, enteropathy and undernutrition in early childhood are preventable risk factors for child deaths, impaired neurodevelopment, and later life metabolic diseases

  • We report here a potential mechanistic role for altered choline and tryptophan metabolism in the effects associated with undernutrition and a potential role for increased nicotinamide N-methyltransferase (NNMT) in catch-up growth with N-methylnicotinamide serving as a biomarker for this adaptation

  • Orthogonal projections to latent structures (OPLS) models with one predictive component and no orthogonal components were calculated to identify urinary metabolites associated with undernutrition in children from Northeastern Brazil (n = 326; 6.2–25.9 months old; 161 male and 165 female)

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Summary

Introduction

Enteropathy and undernutrition in early childhood are preventable risk factors for child deaths, impaired neurodevelopment, and later life metabolic diseases. Urinary N-methylnicotinamide and β-aminoisobutyric acid represent promising biomarkers for predicting short-term growth outcomes in undernourished children and for identifying children destined for further growth shortfalls. These findings have important implications for understanding contributors to long-term sequelae of early undernutrition, including cognitive, growth, and metabolic functions. Metabolic profiles are the product of genetic and environmental (diet, lifestyle, gut microbial activity) contributions and studying these profiles enables the overall metabolic status of this multi-factorial metabolic system to be assessed These signatures contain information reflecting healthy physiological processes and pathological events and can be studied to identify metabolic pathways underlying disease risk and for discovering molecular diagnostic and predictive biomarkers. Large-scale metabolic phenotyping (molecular epidemiology) for biomarker discovery has been previously applied to identify unique metabolic signatures of nutrition and aging, and disease states including autism, prenatal disorders, type 2 diabetes, stress, depressive disorders, hypertension, and CVD10–19

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