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Metabolomics in early life and the association with body composition at age 2 years

Inge A.L.P. van Beijsterveldt, Stuart G. Snowden, Pernille Neve Myers, Kirsten S. de Fluiter, Bert van de Heijning, Susanne Brix, Ken K. Ong, David B. Dunger, Anita C. S. Hokken‐Koelega, Albert Koulman

2021Pediatric Obesity13 citationsDOIOpen Access PDF

Abstract

Summary 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 (Q 2 = 0.322) than girls (Q 2 = 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.

Topics & Concepts

MedicineAssociation (psychology)MetabolomicsBody mass indexComposition (language)GerontologyDemographyInternal medicineBioinformaticsEpistemologyPhilosophySociologyBiologyLinguisticsBirth, Development, and HealthMetabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging
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