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Published on: May 6, 2022
Associations of cord blood metabolites with early childhood obesity risk
E Isganaitis1, S L Rifas-Shiman2, E Oken2
1Research Division, Department of Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Insights
Cord blood metabolites, including tryptophan derivatives and methyl donors, are linked to rapid infant weight gain. These findings may help predict childhood obesity risk.
Area of Science:
- Metabolomics
- Pediatric Obesity
- Developmental Biology
Background:
- Rapid postnatal weight gain is a risk factor for obesity and metabolic syndrome.
- Identifying early markers for rapid weight gain and childhood obesity is crucial for intervention.
Purpose of the Study:
- To identify cord blood metabolite markers associated with rapid postnatal weight gain and subsequent childhood obesity.
- To analyze the metabolome in cord blood of infants with differing weight trajectories.
Main Methods:
- A nested case-control study within the Project Viva cohort.
- Cord blood metabolites were measured using untargeted liquid chromatography-mass spectrometry.
- Statistical analyses compared metabolites and pathways between cases (rapid weight gain, high childhood BMI) and controls (normal weight gain, normal childhood BMI), adjusting for covariates.
Main Results:
- 16 out of 415 detected metabolites were significantly altered in cases.
- Lower levels of tryptophan-related metabolites (serotonin, tryptophan betaine, tryptophyl leucine) and methyl donors (dimethylglycine, N-acetylmethionine) were observed in cases.
- A reduced glutamine:glutamate ratio was also found in cases, and metabolite levels improved prediction of case-control status.
Conclusions:
- Specific cord blood metabolites are associated with rapid postnatal weight gain.
- These metabolite patterns may serve as early indicators for childhood obesity, though causality requires further investigation.
Background/Objective:
Rapid postnatal weight gain is a potentially modifiable risk factor for obesity and metabolic syndrome. To identify markers of rapid infancy weight gain and childhood obesity, we analyzed the metabolome in cord blood from infants differing in their postnatal weight trajectories.
Methods:
We performed a nested case-control study within Project Viva, a longitudinal cohort of mothers and children. We selected cases (n=26) based on top quartile of change in weight-for-age 0-6 months and body mass index (BMI) >85th percentile in mid-childhood (median 7.7 years). Controls (n=26) were age and sex matched, had normal postnatal weight gain (2nd or 3rd quartile of change in weight-for-age 0-6 months) and normal mid-childhood weight (BMI 25th-75th percentile). Cord blood metabolites were measured using untargeted liquid chromatography-mass spectrometry; individual metabolites and pathways differing between cases and controls were compared in categorical analyses. We adjusted metabolites for maternal age, maternal BMI and breastfeeding duration (linear regression), and assessed whether metabolites improved the ability to predict case-control status (logistic regression).
Results:
Of 415 detected metabolites, 16 were altered in cases versus controls (t-test, nominal P<0.05). Three metabolites were related to tryptophan: serotonin, tryptophan betaine and tryptophyl leucine (46%, 48% and 26% lower in cases, respectively, P<0.05). Mean levels of two methyl donors, dimethylglycine and N-acetylmethionine, were also lower in cases (18% and 16%, respectively, P=0.01). Moreover, the glutamine:glutamate ratio was reduced by 33% (P<0.05) in cases. Levels of serotonin, tryptophyl leucine and N-acetylmethionine remained significantly different after adjustment for maternal BMI, age and breastfeeding. Adding metabolite levels to logistic regression models including only clinical covariates improved the ability to predict case versus control status.
Conclusions:
Several cord blood metabolites are associated with rapid postnatal weight gain. Whether these patterns are causally linked to childhood obesity is not clear from this cross-sectional analysis, but will require further study.
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