Gas chromatography-mass spectrometric method-based urine metabolomic profile of rats with pelvic inflammatory disease

Zou,Wei; Wen,Xiaoke; Sheng,Xiaoqi; Zheng,Yi; Xiao,Zuoqi; Luo,Jieying; Chen,Shuqiong; Wang,Yichao; Cheng,Zeneng; Xiang,Daxiong; Nie,Yichu

doi:10.3892/etm.2016.3142

Gas chromatography-mass spectrometric method-based urine metabolomic profile of rats with pelvic inflammatory disease

Authors:
- Wei Zou
- Xiaoke Wen
- Xiaoqi Sheng
- Yi Zheng
- Zuoqi Xiao
- Jieying Luo
- Shuqiong Chen
- Yichao Wang
- Zeneng Cheng
- Daxiong Xiang
- Yichu Nie
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Affiliations: Key Laboratory of Hunan Province for Traditional Chinese Medicine in Obstetrics and Gynecology Research, The Maternal and Child Health Hospital of Hunan Province, Changsha, Hunan 410008, P.R. China, Technical Research Centre of Clinical Preventive and Treatment for Children, The Maternal and Child Health Hospital of Hunan Province, Changsha, Hunan 410008, P.R. China, College of Pharmacy, Hunan University of Traditional Chinese Medicine, Changsha, Hunan 410007, P.R. China, Traditional Chinese Medicine Department of Gynecology, The Maternal and Child Health Hospital of Hunan Province, Changsha, Hunan 410008, P.R. China, School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410011, P.R. China, Clinic Pharmacy Research Laboratory, Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, P.R. China, State Key Laboratory of Respiratory Diseases, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, P.R. China
Published online on: March 10, 2016 https://doi.org/10.3892/etm.2016.3142
Pages: 1653-1660
Copyright: © Zou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Pelvic inflammatory disease (PID) can lead to a poor outcome of severe sequelae, and the current methods of clinical diagnosis are not satisfactory. Metabolomics is an effective method for the identification of disease-related metabolite biomarkers to facilitate disease diagnosis. However, to the best of our knowledge, no PID-associated metabolomic study has yet been carried out. The metabolomic changes of rats with PID were investigated in the present study. A PID model was constructed by the multi‑pathogenic infection of the upper genital tract in rats. Infiltration of inflammatory cells and elevated expression levels of the cytokines interleukin (IL)‑1β and IL‑6 in the uterus and fallopian tubes validated the disease model. Gas chromatography‑mass spectrometry coupled with derivatization was used to determine the urine metabolomic profile. Principal component analysis and partial least squares‑discriminant analysis of the data sets showed a clear separation of metabolic profiles between rats with PID and control rats. Eighteen differentiating metabolites were found, including four amino acids, three fatty acids, nine organic acids, and two sugars, which indicated alterations in sugar metabolism, the citric acid cycle, amino acid metabolism and fatty acid metabolism. These metabolites could be potential biomarkers of PID, and this research may offer a new approach to evaluate the effect of anti-PID drugs in pre-clinical or clinical trials.

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