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

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.