医学代谢组学案例分析

BIOTREE · 发表于 2017-6-23 17:31:40

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通过GC-MS检测血液样本分析哮喘病人的代谢物组信息变化

研究对象：人血

分析检测平台：GC-TOF／MS （BIOTREE）

期刊：Acta Pharmacologica Sinica

影响因子：2.912

发表时间：2015

摘要：

Aim: To character the specific metabolomics profiles in the sera of Chinese patients with mild persistent asthma and to explore potential metabolic biomarkers.

Methods: Seventeen Chinese patients with mild persistent asthma and age- and sex-matched healthy controls were enrolled. Serum samples were collected, and serum metabolites were analyzed using GC-MS coupled with a series of multivariate statistical analyses.

Results: Clear intergroup separations existed between the asthmatic patients and control subjects. A list of differential metabolites and several top altered metabolic pathways were identified. The levels of succinate (an intermediate in tricarboxylic acid cycle) and inosine were highly upregulated in the asthmatic patients, suggesting a greater effort to breathe during exacerbation and hypoxic stress due to asthma. Other differential metabolites, such as 3,4-dihydroxybenzoic acid and phenylalanine, were also identified. Furthermore, the differential metabolites possessed higher values of area under the ROC curve (AUC), suggesting an excellent clinical ability for the prediction of asthma.

Conclusion: Metabolic activity is significantly altered in the sera of Chinese patients with mild persistent asthma. The data might be helpful for identifying novel biomarkers and therapeutic targets for asthma.

Keywords: mild persistent asthma; Chinese patients; serum metabolites; metabolomics; succinate; inosine; GC-MS

一、研究背景：

哮喘常由呼吸道炎症导致，但目前诊疗中还缺乏简便易行的呼吸道炎症快速判定措施。来源于尿液、血液和呼出气冷凝液的代谢物可用于疾病的分型和诊断，代谢组学技术通过检测分析上述样本的代谢物指纹图谱可获得与疾病相关的最重要的代谢物和代谢途径。针对这些特异性较强的生物标志物可进一步建立快速检测方法，用于类似哮喘等复杂疾病的分型和早期诊断。本研究尝试通过GC-TOF/MS方法分析哮喘病人血样，从而获得可能用于早期诊断的潜力生物标志物。