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Published on: February 2, 2017
Metabolomics in early life and the association with body composition at age 2 years
Inge A L P van Beijsterveldt1, Stuart G Snowden2,3, Pernille Neve Myers4,5
1Department of Pediatrics, Subdivision of Endocrinology, Erasmus University Medical Center/Sophia Children's Hospital, Rotterdam, The Netherlands.
Insights
Infant metabolic profiles at 3 months can predict body composition at 2 years, with higher accuracy in boys. Early life metabolites are key to adiposity programming.
Area of Science:
- Pediatric Metabolism
- Body Composition Analysis
- Developmental Biology
Background:
- Early life adiposity programming is critical for long-term health.
- Metabolic profiles in infancy may predict later-life body composition.
- Investigating early metabolic markers for adiposity prediction is essential.
Purpose of the Study:
- To determine if infant metabolic profiles at 3 months predict body composition at 2 years.
- To explore sex-based differences in predictive accuracy.
- To examine the influence of infant feeding types on this relationship.
Main Methods:
- 318 healthy infants underwent body composition analysis (skinfold, ultrasound) at 3 months and 2 years.
- High-throughput metabolic profiling of 3-month blood samples.
- Random-forest machine learning models were used for prediction.
Main Results:
- Metabolic profiles at 3 months predicted body composition (truncal:peripheral-fat-skinfold-ratio) with 75.8% accuracy.
- Predictive value was higher in boys (Q²=0.322) than girls (Q²=0.117).
- 11 of 15 key metabolites associated with T:P ratio also linked to visceral fat at 2 years.
Conclusions:
- Plasma metabolites at 3 months associate with body composition at 2 years.
- These findings underscore the significance of early infancy for adiposity programming.
- Specific metabolites like LysoPC(22:2) and dimethylarginine are potential early indicators.
Background And Objectives:
Early life is a critical window for adiposity programming. Metabolic-profile in early life may reflect this programming and correlate with later life adiposity. We investigated if metabolic-profile at 3 months of age is predictive for body composition at 2 years and if there are differences between boys and girls and between infant feeding types.
Methods:
In 318 healthy term-born infants, we determined body composition with skinfold measurements and abdominal ultrasound at 3 months and 2 years of age. High-throughput-metabolic-profiling was performed on 3-month-blood-samples. Using random-forest-machine-learning-models, we studied if the metabolic-profile at 3 months can predict body composition outcomes at 2 years of age.
Results:
Plasma metabolite-profile at 3 months was found to predict body composition at 2 years, based on truncal: peripheral-fat-skinfold-ratio (T:P-ratio), with a predictive value of 75.8%, sensitivity of 100% and specificity of 50%. Predictive value was higher in boys (Q2 = 0.322) than girls (Q2 = 0.117). Of the 15 metabolite variables most strongly associated with T:P-ratio, 11 were also associated with visceral fat at 2 years of age.
Conclusion:
Several plasma metabolites (LysoPC(22:2), dimethylarginine and others) at 3 months associate with body composition outcome at 2 years. These results highlight the importance of the first months of life for adiposity programming.
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