ESPE2021 ePoster Category 1 Fat, Metabolism and Obesity A (10 abstracts)
1Erasmus University Medical Center/Sophia Childrens Hospital, Rotterdam, Netherlands; 2University of Cambridge, Cambridge, United Kingdom; 3Royal Holloway University of London, London, United Kingdom; 4Technical University of Denmark, Lyngby, Denmark; 5Clinical-Microbiomics A/S, Copenhagen, Denmark
Background and Objectives: Early life might be a critical window for adiposity programming later in life. 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 age 2 years and if there are differences between boys and girls and between infant feeding types.
Methods: In 318 healthy term-born children, we determined body composition with skinfold measurements and subcutaneous and visceral fat by abdominal ultrasound at age 3 months and 2 years. High throughput metabolic profiling was performed on 3 month blood samples. Using random forest machine learning models, we analyzed if the metabolic profile at age 3 months can predict body composition outcomes at 2 years of age.
Results: Plasma metabolite profile at 3 months of age was found to modestly predict body composition at 2 years of age, 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 better in boys than in girls. Of the 15 metabolite variables most strongly associated with the T: P-ratio at 2 years, 11 were also associated with abdominal visceral fat at 2 years of age.
Conclusion: Fifteen plasma metabolites (LysoPC(22: 2), dimethylarginine and others) at age 3 months associate with body composition outcome at age 2 years. Five of these are known to be involved in inflammation. These results highlight the importance of the first months of life for adiposity programming, which is potentially a result of low grade inflammation.