Identification of biomarkers in urine of rats with spleen qi deficiency and biological significance

LIU Wu-ping1 LI Chan-yi1 HUANG Jing1 LIAO Jing-zhu1 MA Wen-jie1 CHEN Hong-yuan2 RUI Wen1

(1.Central Laboratory, Guangdong Pharmaceutical University, Guangzhou, China 510006)
(2.Department of Immunology & Microbiology, Guangdong Pharmaceutical University, Guangzhou, China 510006)

【Abstract】To identify biomarkers for spleen qi deficiency by analyzing small molecule metabolites in urine, in order to expound the relationship between biomarkers and metabolic pathways. The spleen qi deficiency model was established through dietary restriction and overstrain. All of the rats received D-xylose absorption experiment and blood routine test. Urine samples were collected in the next day. The urine samples were analyzed using UPLC-Q-TOF-MS to obtain the dataset of urine metabolic group. Principal component analysis (PCA), orthogonal partialleast squares-discriminant analysis (OPLS-DA) and other multivariate statistical methods were employed to evaluate the quality of the dataset and screen out potential biomarkers of spleen qi deficiency. The results of D-xylose absorption and blood routine demonstrated that the spleen qi deficiency model was successfully established. In positive ion mode and negative ion mode, PCA and OPLS-DA score plots could clearly distinguish model group and blank group. According to S-plot of OPLS-DA, VIP value, t-test and area under receiver operating characteristic curve ( ROC), 24 biomarkers, including phenylalanine, succinic acid, aconitic acid, isocitrate acid, betaine, kynurenine, indole, creatine, creatinine, orotic acid, xanthine, and xanthurenic acid, were identified as associated with the spleen qi deficiency, mainly involving energy metabolism, amino acid metabolism, tryptophan metabolism, purine metabolism and pyrimidine metabolism. Urine metabolomics method combined with online software package for data processing and analysis metabolic pathway can provide new methods and ideas for studies for spleen qi deficiency and other traditional Chinese medicine symptoms.

【Keywords】 spleen qi deficiency; metabolomics; metabolic fingerprint; UPLC-Q-TOF-MS; biomarker;

【DOI】

【Funds】 National Natural Science Foundation of China (81202917, 81573607)

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This Article

ISSN:1001-5302

CN: 11-2272/R

Vol 42, No. 24, Pages 4855-4863

December 2017

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Article Outline

Abstract

  • 1 Materials and methods
  • 2 Results
  • 3 Discussion
  • References