Serum metabolomics reveals pathways and biomarkers associated with asthma pathogenesis

哮喘 代谢组学 发病机制 医学 代谢物 胆碱 内科学 免疫学 生物信息学 生物
作者
Jeeyoun Jung,Seung‐Hyun Kim,H.‐S. Lee,Gil‐Soon Choi,Young‐Sang Jung,Do Hyun Ryu,Hae‐Sim Park,Geum‐Sook Hwang
出处
期刊:Clinical & Experimental Allergy [Wiley]
卷期号:43 (4): 425-433 被引量:154
标识
DOI:10.1111/cea.12089
摘要

Summary Background Asthma is a chronic inflammatory disease caused by complex interactions of genetic, epigenetic, and environmental factors. For this reason, new approaches are required to clarify the pathogenesis of asthma by systemic review. Objective We applied a 1 H‐ NMR metabolomics approach to investigate the altered metabolic pattern in sera from patients with asthma and sought to identify the mechanism underlying asthma and potential biomarkers. Method A global profile of sera from patients with asthma ( n = 39) and controls ( n = 26) was generated using 1 H‐ NMR spectroscopy coupled with multivariate statistical analysis. Endogenous metabolites in serum were rapidly measured using the target‐profiling procedure. Results Multivariate statistical analysis showed a clear distinction between patients with asthma and healthy subjects. Sera of asthma patients were characterized by increased levels of methionine, glutamine, and histidine and by decreased levels of formate, methanol, acetate, choline, O‐phosphocholine, arginine, and glucose. The metabolites detected in the sera of patients with asthma are involved in hypermethylation, response to hypoxia, and immune reaction. Furthermore, the levels of serum metabolites from patients with asthma correlated with asthma severity; in particular, lipid metabolism was altered in patients with lower forced expiratory volume in 1 s percentage (FEV 1 %) predicted values. In addition, potential biomarkers showed strong predictive power in ROC analysis, and the presence of asthma in external validation models was predicted with high accuracy (90.9% for asthma and 100% for control subjects). Conclusion & Clinical Relevance These data showed that 1 H‐ NMR ‐based metabolite profiling of serum may be useful for the effective diagnosis of asthma and a further understanding of its pathogenesis.
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