Related Experiment Video
Updated: Apr 22, 2026

Segmentation and Measurement of Fat Volumes in Murine Obesity Models Using X-ray Computed Tomography
Published on: April 4, 2012
Rapid growth and childhood obesity are strongly associated with lysoPC(14:0)
Peter Rzehak1, Christian Hellmuth, Olaf Uhl
1Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig Maximilian University of Munich, Munich, Germany.
Insights
Lysophosphatidylcholine LPCaC14:0 measured in infancy is linked to rapid infant weight gain and predicts childhood overweight/obesity. This metabolite may indicate metabolic programming influencing later obesity risk.
Area of Science:
- Metabolomics
- Pediatric Obesity Research
- Early Life Nutrition
Background:
- The early-origins-of-later-disease hypothesis is gaining traction.
- Metabolic factors linking infant weight gain to childhood obesity remain unclear.
Purpose of the Study:
- To identify biomarkers for infant weight change in the first 6 months.
- To discover biomarkers for overweight/obesity at age 6 years using targeted metabolomics.
Main Methods:
- Analysis of 726 infants from the European Childhood Obesity Programme (CHOP) trial.
- Plasma samples at 6 months and anthropometric data up to 6 years were used.
- 168 metabolites were analyzed for association with infant weight change and prediction of later overweight/obesity.
Main Results:
- 19 metabolites showed significant associations with weight change.
- Lysophosphatidylcholine LPCaC14:0 was significantly associated with rapid infant weight gain (β = 0.18).
- LPCaC14:0 at 6 months predicted overweight/obesity at 6 years (OR 1.33).
Conclusions:
- LPCaC14:0 is strongly associated with rapid infant growth and childhood overweight/obesity.
- LPCaC14:0 may reflect metabolic programming of infant weight gain impacting future obesity risk.
- Independent cohort confirmation is needed.
Background:
Despite the growing interest in the early-origins-of-later-disease hypothesis, little is known about the metabolic underpinnings linking infant weight gain and childhood obesity.
Objective:
To discover biomarkers reflective of weight change in the first 6 months and overweight/obesity at age 6 years via a targeted metabolomics approach.
Design:
This analysis comprised 726 infants from a European multicenter randomized trial (Childhood Obesity Programme, CHOP) for whom plasma blood samples at age 6 months and anthropometric data up to the age of 6 years were available. 'Rapid growth' was defined as a positive difference in weight within the first 6 months of life standardized to WHO growth standards. Weight change was regressed on each of 168 metabolites (acylcarnitines, lysophosphatidylcholines, sphingomyelins, and amino acids). Metabolites significant after Bonferroni's correction were tested as predictors of later overweight/obesity.
Results:
Among the overall 19 significant metabolites, 4 were associated with rapid growth and 15 were associated with a less-than-ideal weight change. After adjusting for feeding group, only the lysophosphatidylcholine LPCaC14:0 remained significantly associated with rapid weight gain (β = 0.18). Only LPCaC14:0 at age 6 months was predictive of overweight/obesity at age 6 years (OR 1.33; 95% CI 1.04-1.69).
Conclusion:
LPCa14:0 is strongly related to rapid growth in infancy and childhood overweight/obesity. This suggests that LPCaC14:0 levels may represent a metabolically programmed effect of infant weight gain on the later obesity risk. However, these results require confirmation by independent cohorts.
More Related Videos
14:56Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
08:34Mechanism of Regulation of Adipocyte Numbers in Adult Organisms Through Differentiation and Apoptosis Homeostasis
Published on: June 3, 2016
Related Concept Videos
Obesity
Regulation of Food Intake
Lipid Catabolism
Pharmacokinetics in Obese Patients: Drug Metabolism and Excretion
Regulation of Metabolism
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution