基于GC-MS代谢组学的RSV肺炎小鼠尿液和粪便生物标记物研究

摘要

目的 通过气相色谱-质谱联用(GC-MS)技术分析RSV肺炎小鼠尿液和粪便中代谢物的相对含量变化,寻找可协助RSV肺炎诊断的生物标记物.方法 RSV滴鼻感染BALB/c小鼠建立RSV肺炎模型,分别收集小鼠的尿液和粪便,经肟化和衍生化后,运用GC-MS检测尿液和粪便中所含有的代谢物及其相对含量的变化.结果 RSV肺炎小鼠的尿液中共测得38种代谢产物,其中乳酸、丙酸、L-脯氨酸为差异代谢产物(P<0.05);粪便中共测得43种代谢物,其中亮氨酸、天冬氨酸、胱氨酸、酪氨酸、嘧啶有显著差异(P<0.05).结论 运用GC-MS代谢组学技术寻找RSV肺炎小鼠尿液和粪便中的生物标记物具有可行性.%OBJECTIVE To detect the relative abundance changes of metabolites in urine and feces of BALB/c mice to seek the biomarkers that contribute to the diagnosis by GC-MS technology.METHODS BALB/c mice were challenged intranasally to establish the RSV pneumonia models.Urine and feces were collected respectively,oximated,derivatized and detected by GC-MS.RESULTS 38 metabolites in urine were detected,among which lactic acid,propanoic acid and L-proline were statistical-ly significant(P<0.05).Moreover,43 metabolites in feces were detected,and leucine,aspartic acid,cystine,tyrosine and pyrimidine had statistical significance(P<0.05).CONCLUSION GC-MS technology is feasible for seeking biomarkers in u-rine and feces of mice infected with RSV pneumonia.