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Lipidomic Profiling Reveals Phenotype-Specific Metabolic Signatures in Obese and Hyperuricemic Children
Yuhang Wang1, Shuang Shi2, Jin Cai3
1Yiwu Maternity and Children Hospital, Yiwu, Zhejiang, China.
Insights
Children with obesity and hyperuricemia show distinct lipid metabolism changes, with specific lipids like triacylglycerols (TG) and ceramides (Cer) potentially serving as biomarkers for metabolic disturbances.
Area of Science:
- Biochemistry
- Pediatric Endocrinology
- Metabolomics
Background:
- Obesity and hyperuricemia are growing concerns in pediatric populations.
- Understanding their impact on lipid metabolism is crucial for early intervention.
Purpose of the Study:
- To investigate phenotype-specific lipid metabolism alterations in children with obesity, hyperuricemia, and co-occurrence.
- To explore associations between lipidomic profiles and clinical indicators.
Main Methods:
- Nontargeted lipidomic analysis of serum samples from 100 children (aged 6-18).
- Categorization into control, hyperuricemia, obesity, and combined phenotype groups.
- Metabolic network, pathway enrichment, and correlation analyses.
Main Results:
- Obesity linked to triacylglycerol (TG) upregulation.
- Hyperuricemia associated with downregulated phosphatidylcholine (PC) and lysophosphatidylcholine (LPC).
- Combined phenotype showed extensive pathway disruptions; TG inversely correlated with GFR; ceramides (Cer) linked to insulin metabolism.
Conclusions:
- Lipid metabolism is phenotype-specific in pediatric metabolic disturbances.
- TG, PC, and Cer may act as biomarkers or therapeutic targets.
- Findings offer insights for early identification and precision management.
Objective:
This study aims to investigate the phenotype-specific alterations in lipid metabolism among children with obesity, hyperuricemia, and their co-occurrence and to explore the potential associations between lipidomic profiles and clinical indicators.
Methods:
A nontargeted lipidomic analysis was conducted on serum samples from 100 children aged 6-18 years, categorized into control, hyperuricemia, obesity, and combined phenotype groups based on serum uric acid levels and body mass index. Metabolic network reconstruction, pathway enrichment, and correlation analyses were performed to delineate the relationships between lipid metabolic changes and clinical features.
Results:
The obesity group was characterized by a marked upregulation of triacylglycerols (TG). In the hyperuricemia group, membrane lipids such as phosphatidylcholine (PC) and lysophosphatidylcholine (LPC) were predominantly downregulated, whereas phosphatidylinositol (PI) showed heterogeneous alterations. The combined phenotype exhibited more extensive disruptions across multiple metabolic pathways. Correlation analysis revealed a consistent inverse relationship between TG and glomerular filtration rate (GFR), a strong association between ceramides (Cer) and insulin metabolism, and a distinctive positive correlation between LPC and aspartate aminotransferase (AST) in the hyperuricemia group. Carnitines (CAR) showed bidirectional associations with kidney function-related parameters.
Conclusion:
Lipid metabolism displays phenotype-specific regulatory patterns across distinct clinical presentations, with differential pathway involvement and functional enrichment. Key lipid species such as TG, PC, and Cer may serve as potential subtype biomarkers or therapeutic targets, offering novel insights into the early identification and precision management of metabolic disturbances in children.
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