Trial reportBioMed research international2018
Serum Metabolomics Analysis of Asthma in Different Inflammatory Phenotypes: A Cross-Sectional Study in Northeast China.
Trial report in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic Rhinitis.Frontiers in immunology · 2021Trial
- [Lipid analysis in children with bronchial asthma based on liquid chromatography-mass spectrometry: a prospective study].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Article
- Distinct Airway Microbiome and Metabolite Profiles in Eosinophilic and Neutrophilic Asthma.Journal of asthma and allergy · 2025Article
- Serum Metabolomics Reveals Metabolomic Profile and Potential Biomarkers in Asthma.Allergy, asthma & immunology research · 2024Article
- Sphingolipid classes and the interrelationship with pediatric asthma and asthma risk factors.Allergy · 2024Article
- Metabolomics in Animal Models of Bronchial Asthma and Its Translational Importance for Clinics.International journal of molecular sciences · 2023Review
- Statistical methods and resources for biomarker discovery using metabolomics.BMC bioinformatics · 2023Review
- Blood-Based Biomarkers for Eosinophilic Esophagitis and Concomitant Atopic Diseases: A Look into the Potential of Extracellular Vesicles.International journal of molecular sciences · 2023Review
- Metabolomics of Respiratory Diseases.Handbook of experimental pharmacology · 2023Review
- Global metabolomics study on the pathogenesis of pediatric medulloblastoma via UPLC- Q/E-MS/MS.PloS one · 2023Article
- Sputum Metabolomic Profiling Reveals Metabolic Pathways and Signatures Associated With Inflammatory Phenotypes in Patients With Asthma.Allergy, asthma & immunology research · 2022Article
- Metabolomic Associations of Asthma in the Hispanic Community Health Study/Study of Latinos.Metabolites · 2022Article
- Research Progress of Metabolomics in Asthma.Metabolites · 2021Review
- Metabolic Phenotypes in Asthmatic Adults: Relationship with Inflammatory and Clinical Phenotypes and Prognostic Implications.Metabolites · 2021Review
- MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.Nucleic acids research · 2021Article
- Potential Metabolic Biomarkers in Adult Asthmatics.Metabolites · 2021Review
- Comprehensive Meta-Analysis of COVID-19 Global Metabolomics Datasets.Metabolites · 2021Article
- Urinary Metabolomic Profiling Reveals Biological Pathways and Predictive Signatures Associated with Childhood Asthma.Journal of asthma and allergy · 2020Article
- Phenotype-Specific Therapeutic Effect ofInternational journal of molecular sciences · 2019Article
- Therapeutic Effect and Mechanism Study ofEvidence-based complementary and alternative medicine : eCAM · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
objectiveAsthma as a chronic heterogeneous disease seriously affects the quality of life. Incorrect identification for its clinical phenotypes lead to a huge waste of medical resources. Metabolomic technique as a novel approach to explore the pathogenesis of diseases have not been used to study asthma based on their clear defined inflammatory phenotypes. This study is aimed to distinguish the divergent metabolic profile in different asthma phenotypes and clarify the pathogenesis of them.
methodsParticipants including eosinophilic asthmatics (EA, n=13), noneosinophilic asthmatics (NEA, n=16), and healthy controls (HC, n=15) were enrolled. A global profile of untargeted serum metabolomics was identified with Ultra Performance Liquid Chromatography-Mass Spectrometry technique.
resultsMultivariate analysis was performed and showed a clear distinction between EA, NEA, and HC. A total of 18 different metabolites were recognized between the three groups based on OPLS-DA model and involved in 10 perturbed metabolic pathways. Glycerophospholipid metabolism, retinol metabolism, and sphingolipid metabolism were identified as the most significant changed three pathways (impact > 0.1 and -log(
conclusionsWe showed that the different inflammatory phenotypes of asthma involve the immune regulation, energy, and nutrients metabolism. The clarified metabolic profile contributes to understanding the pathophysiology of asthma phenotypes and optimizing the therapeutic strategy against asthma heterogeneity.
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