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Published on: January 14, 2013
Urine metabolic profiles in paediatric asthma
Jia-Lei Tao1,2, Yan-Zhen Chen3, Qi-Gang Dai1,2
1Department of Paediatrics, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Insights
This study identified eight key metabolites in children with asthma, distinguishing between controlled and uncontrolled disease. These findings offer new insights into the metabolic underpinnings of paediatric asthma.
Area of Science:
- Metabolomics
- Paediatric Medicine
- Biomarker Discovery
Background:
- Asthma is a significant global health concern, particularly in children.
- Understanding the complex pathophysiology of paediatric asthma is crucial for effective management.
- Metabolomic profiling offers a promising approach to identify disease-specific biomarkers.
Purpose of the Study:
- To explore candidate biomarkers for paediatric asthma using metabolomic profiling.
- To gain insights into the underlying pathophysiology of asthma in children.
- To differentiate between controlled and uncontrolled asthma based on metabolic profiles.
Main Methods:
- Urine samples from children aged 6-11 years were analyzed using gas chromatography-mass spectrometry.
- Participants were categorized into healthy control, uncontrolled asthma, and controlled asthma groups.
- Network-biology approaches were used to link identified metabolites with asthma-related genes.
Main Results:
- Fifty-one differential metabolites were identified, primarily linked to amino acid, carbohydrate, and purine metabolism.
- A panel of eight metabolites (uric acid, stearic acid, threitol, acetylgalactosamine, heptadecanoic acid, aspartic acid, xanthosine, hypoxanthine) demonstrated high accuracy in classifying asthma status and severity (AUC > 0.97).
- Enrichment analysis implicated Fc receptor signaling, steroid hormone receptor pathways, DNA damage, and fibroblast proliferation in paediatric asthma pathogenesis.
Conclusions:
- Metabolomic analysis of urine samples effectively discriminates asthma profiles and subtypes in children.
- The identified metabolic patterns provide valuable insights into the potential mechanisms of paediatric asthma.
- This study highlights the utility of metabolomics in understanding and potentially managing paediatric asthma.
Background And Objective:
Asthma is a global problem and complex disease suited for metabolomic profiling. This study explored the candidate biomarkers specific to paediatric asthma and provided insights into asthmatic pathophysiology.
Methods:
Children (aged 6-11 years) meeting the criteria for healthy control (n = 29), uncontrolled asthma (n = 37) or controlled asthma (n = 43) were enrolled. Gas chromatography-mass spectrometry was performed on urine samples of the patients to explore the different types of metabolite profile in paediatric asthma. Additionally, we employed a comprehensive strategy to elucidate the relationship between significant metabolites and asthma-related genes.
Results:
We identified 51 differential metabolites mainly related to dysfunctional amino acid, carbohydrate and purine metabolism. A combination of eight candidate metabolites, including uric acid, stearic acid, threitol, acetylgalactosamine, heptadecanoic acid, aspartic acid, xanthosine and hypoxanthine (adjusted P < 0.05 and fold-change >1.5 or <0.67), showed excellent discriminatory performance for the presence of asthma and the differentiation of poor-controlled or well-controlled asthma, and area under the curve values were >0.97 across groups. Enrichment analysis based on these targets revealed that the Fc receptor, intracellular steroid hormone receptor signalling pathway, DNA damage and fibroblast proliferation were involved in inflammation, immunity and stress-related biological progression of paediatric asthma.
Conclusion:
Metabolomic analysis of patient urine combined with network-biology approaches allowed discrimination of asthma profiles and subtypes according to the metabolic patterns. The results provided insight into the potential mechanism of paediatric asthma.
Related Concept Videos
Filtration and Urine Formation
Urine Studies II: Urine Culture and Sensitivity Test
Asthma-I: Introduction
What is Metabolism?
Asthma-III: Symptoms and Complications
Classification of Asthma
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:

