Linking obesity-associated genotype to child language development: the role of early-life neurology-related proteomics and brain myelination
eBioMedicine, 2025
Huang J., Che J., Kee M., Tan A., Law E., Silveira P., Pokhvisneva I., Patel S., Godfrey K., Daniel L., Tan K., Chong Y., Chan S., Eriksson J., Wang D., Huang J.
| Disease area | Application area | Sample type | Products |
|---|---|---|---|
Metabolic Diseases Neurology | Pathophysiology | Plasma |  Olink Target 96 |
Abstract
Background
The association between childhood obesity and language development may be confounded by socio-environmental factors and attributed to comorbid pathways.
Methods
In a longitudinal Singaporean mother-offspring cohort, we leveraged trans-ancestry polygenic predictions of body mass index (BMI) to interrogate the causal effects of early-life BMI on child language development and its effects on molecular and neuroimaging measures. Leveraging large genome-wide association studies, we examined whether the link between obesity and language development is causal or due to a shared genetic basis.
Findings
We found an inverse association between polygenic risk for obesity, which is less susceptible to confounding, and language ability assessed at age 9. Our findings suggested a shared genetic basis between obesity and language development rather than a causal effect of obesity on language development. Interrogating early-life mechanisms including neurology-related proteomics and language-related white matter microstructure, we found that EFNA4 and VWC2 expressions were associated with language ability as well as fractional anisotropy of language-related white matter tracts, suggesting a role in brain myelination. Additionally, the expression of the EPH-Ephrin signalling pathway in the hippocampus might contribute to language development. Polygenic risk for obesity was nominally associated with EFNA4 and VWC2 expression. However, we did not find support for mediating mechanisms via these proteins.
Interpretation
This study demonstrates the potential of examining early-life proteomics in conjunction with deep genotyping and phenotyping and provides biological insights into the shared genomic links between obesity and language development.