ArticleImmunity, inflammation and disease2015
The metabolomics of asthma control: a promising link between genetics and disease.
Article in Immunity, inflammation and disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
55 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.
- Causal relationships of metabolites with allergic diseases: a trans-ethnic Mendelian randomization study.Respiratory research · 2024Pooled it
- Metabolomic profiling of lung function in Costa-Rican children with asthma.Biochimica et biophysica acta. Molecular basis of disease · 2017Trial
- Exploration of the Sphingolipid Metabolite, Sphingosine-1-phosphate and Sphingosine, as Novel Biomarkers for Aspirin-exacerbated Respiratory Disease.Scientific reports · 2016Trial
- Metabolite-Based Endotypes of Asthma Reveal Distinct Clinical Characteristics and Immune Cell Signatures.Allergy · 2026Article
- Metabolomic Approaches to Lung Function in Pediatric Asthma: A Narrative Review.Children (Basel, Switzerland) · 2026Review
- The identification of biomarkers for response to omalizumab in adult asthma based on untargeted metabolomic analysis.Medicine · 2026Article
- Biomarker Discovery in Childhood Asthma: A Pilot Study of Serum Metabolite Analysis for IgE-Dependent Allergy.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- CHN1 as a potential predictive genetic biomarker for atopic dermatitis-related depression.Frontiers in immunology · 2025Article
- Article
- Specific microRNA Profile Associated with Inflammation and Lipid Metabolism for Stratifying Allergic Asthma Severity.International journal of molecular sciences · 2024Article
- GRespiratory research · 2024Review
- Untargeted metabolomic analysis reveals different metabolites associated with response to mepolizumab and omalizumab in asthma.ERJ open research · 2024Article
- Lipid mediators of inhalation exposure-induced pulmonary toxicity and inflammation.Inhalation toxicology · 2024Review
- Metabolomics in Animal Models of Bronchial Asthma and Its Translational Importance for Clinics.International journal of molecular sciences · 2023Review
- Update on metabolomic findings in COPD patients.ERJ open research · 2023Review
- Pharmacometabolomics of Asthma as a Road Map to Precision Medicine.Handbook of experimental pharmacology · 2023Article
- Precision Medicine in Asthma Therapy.Handbook of experimental pharmacology · 2023Article
- Utility of biomarkers in the diagnosis and monitoring of asthmatic children.The World Allergy Organization journal · 2023Review
- Inhaled glucocorticoid-induced metabolome changes in asthma.European journal of endocrinology · 2022Article
- Epigenetic regulation of immune function in asthma.The Journal of allergy and clinical immunology · 2022Review
Corrections and comments
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Authors and funding
17 authors at 7 institutions in 1 country.
Funding
Abstract
Short-acting β agonists (e.g., albuterol) are the most commonly used medications for asthma, a disease that affects over 300 million people in the world. Metabolomic profiling of asthmatics taking β agonists presents a new and promising resource for identifying the molecular determinants of asthma control. The objective is to identify novel genetic and biochemical predictors of asthma control using an integrative "omics" approach. We generated lipidomic data by liquid chromatography tandem mass spectrometry (LC-MS), - using plasma samples from 20 individuals with asthma. The outcome of interest was a binary indicator of asthma control defined by the use of albuterol inhalers in the preceding week. We integrated metabolomic data with genome-wide genotype, gene expression, and methylation data of this cohort to identify genomic and molecular indicators of asthma control. A Conditional Gaussian Bayesian Network (CGBN) was generated using the strongest predictors from each of these analyses. Integrative and metabolic pathway over-representation analyses (ORA) identified enrichment of known biological pathways within the strongest molecular determinants. Of the 64 metabolites measured, 32 had known identities. The CGBN model based on four SNPs (rs9522789, rs7147228, rs2701423, rs759582) and two metabolites-monoHETE_0863 and sphingosine-1-phosphate (S1P) could predict asthma control with an AUC of 95%. Integrative ORA identified 17 significantly enriched pathways related to cellular immune response, interferon signaling, and cytokine-related signaling, for which arachidonic acid, PGE2 and S1P, in addition to six genes (CHN1, PRKCE, GNA12, OASL, OAS1, and IFIT3) appeared to drive the pathway results. Of these predictors, S1P, GNA12, and PRKCE were enriched in the results from integrative and metabolic ORAs. Through an integrative analysis of metabolomic, genomic, and methylation data from a small cohort of asthmatics, we implicate altered metabolic pathways, related to sphingolipid metabolism, in asthma control. These results provide insight into the pathophysiology of asthma control.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.