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Multi-layered omics analysis offers insight into biology and risk factors of childhood obesity

owenhaskins

A cutting-edge molecular approach provides a detailed picture of the biological pathways associated with childhood obesity and metabolic dysfunction and identifies environmental risk factors during early life. The study, led by the Barcelona Institute for Global Health (ISGlobal) can help to develop strategies to prevent childhood obesity and its long-term health effects.

Analytic workflow of the study (Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-56013-7)
Analytic workflow of the study (Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-56013-7)

Childhood obesity is a major public health concern: one in ten children are living with obesity across Europe, which puts them at high risk of metabolic disorders and cardiovascular disease later in life. Despite its prevalence, the biological mechanisms behind obesity-related health problems remain poorly understood, and not all children with obesity develop metabolic issues.

To address this gap, researchers used an advanced "multi-layered omics" approach to examine gene expression, proteins, and metabolites in blood samples from over 800 European children, together with detailed information about their health and prenatal environment.


"Prenatal life is particularly important because environmental exposures during this critical developmental period can have pronounced effects later in life," said Dr Martine Vrijheid, ISGlobal researcher and senior author of the study. "These findings help us identify modifiable risk factors that could be targeted early in life. They also underscore the need to tailor prevention guidelines to diverse country contexts."


The study is part of the Human Early Life Exposome (HELIX) project, which follows cohorts of children from Northern Europe (Bradford, UK; and Poitiers, France) and Southern Europe (Sabadell, Spain; and Heraklion, Greece).


By analysing five "omics" layers- DNA methylation, microRNAs, mRNA, proteins and metabolites- the researchers identified three distinct clusters among the children. One of these groups stood out because the children not only had higher body fat but also showed more signs of metabolic complications. This high-risk cluster showed a higher expression of inflammation markers, which indicate an overactive immune system.


"Many of these inflammatory molecules can lead to insulin resistance and trigger a chronic inflammatory loop," explains first author, Dr Nikos Stratakis. "By focusing on clusters derived from multi-omics profiles, our approach provides a better understanding of the biological pathways involved in metabolic health, beyond traditional clinical markers," he adds.


The researchers also looked at environmental factors during pregnancy and found that the mother's weight before pregnancy strongly influenced whether her child fell into the high-risk group. Interestingly, the environmental exposures linked to the high-risk cluster differed depending on the region.


In Northern and Western Europe, maternal exposure to the industrial chemical perfluorooctanoate (used in non-stick coatings) was a significant risk factor. In Southern / Mediterranean Europe, maternal exposure to mercury, likely from higher fish consumption, was identified as a risk factor.


The findings were featured in the paper, ‘Multi-omics architecture of childhood obesity and metabolic dysfunction uncovers biological pathways and prenatal determinants’, published in Nature Communications. To access this paper, please click here

 

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