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

Biomarkers in Urine and Feces of BALB/c Mice Infected with RSV Pneumonia Using GC-MS Technology

    摘要
  • 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。

     

    Abstract: 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 statistically 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 urine and feces of mice infected with RSV pneumonia.

     

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