ArticleAllergy, asthma & immunology research2024
Serum Metabolomics Reveals Metabolomic Profile and Potential Biomarkers in Asthma.
Article in Allergy, asthma & immunology research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Metabolite-Based Endotypes of Asthma Reveal Distinct Clinical Characteristics and Immune Cell Signatures.Allergy · 2026Article
- Effects of Vacuum Freeze-Drying and Traditional Hot-Air Drying on Chemical Composition and Antithrombotic Mechanism of Panax notoginseng.Journal of food science · 2026Article
- Machine Learning Framework for Ovarian Cancer Diagnostics Using Plasma Lipidomics and Metabolomics.International journal of molecular sciences · 2025Article
- Investigation of the Molecular Mechanism of Asthma in Meishan Pigs Using Multi-Omics Analysis.Animals : an open access journal from MDPI · 2025Article
- A network-based approach to discover diagnostic metabolite markers associated with depressive features for major depressive disorder.Frontiers in psychiatry · 2025Article
- CLCA1 and BPIFB1 are potential novel biomarkers for asthma: an iTRAQ analysis.Journal of thoracic disease · 2024Article
- Exploring Biomarkers in Asthma: Insights From Serum Metabolomics.Allergy, asthma & immunology research · 2024Article
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9 authors.
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Abstract
purposeAsthma is a highly heterogeneous disease. Metabolomics plays a pivotal role in the pathogenesis and development of asthma. The main aims of our study were to explore the underlying mechanism of asthma and to identify novel biomarkers through metabolomics approach.
methodsSerum samples from 102 asthmatic patients and 18 healthy controls were collected and analyzed using liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) system. Multivariate analysis and weighted gene co-expression network analysis (WGCNA) were performed to explore asthma-associated metabolomics profile and metabolites. The Kyoto Encyclopedia of Genes and Genomes (KEGG) was used for pathway enrichment analysis. Subsequently, 2 selected serum hub metabolites, myristoleic acid and dodecanoylcarnitine, were replicated in a validation cohort using ultra-high performance LC-MS/MS system (UHPLC-MS/MS).
resultsDistinct metabolomics profile of asthma was revealed by multivariate analysis. Then, 116 overlapped asthma-associated metabolites between multivariate analysis and WGCNA, including 12 hub metabolites, were identified. Clinical features-associated hub metabolites were also identified by WGCNA. Among 116 asthma-associated metabolites, Sphingolipid metabolism and valine, leucine and isoleucine biosynthesis were revealed by KEGG analysis. Furthermore, serum myristoleic acid and dodecanoylcarnitine were significantly higher in asthmatic patients than in healthy controls in validation cohort. Additionally, serum myristoleic acid and dodecanoylcarnitine demonstrated high sensitivities and specificities in predicting asthma.
conclusionsCollectively, asthmatic patients showed a unique serum metabolome. Sphingolipid metabolism and valine, leucine and isoleucine biosynthesis were involved in the pathogenesis of asthma. Furthermore, our results suggest the promising values of serum myristoleic acid and dodecanoylcarnitine for asthma diagnosis in adults.
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