Literature DB >> 29458921

Plasma metabolic profiling on postoperative colorectal cancer patients with different traditional Chinese medicine syndromes.

Xue-Qing Hu1, Bin Wei1, Ya-Nan Song1, Qing Ji2, Qi Li2, Yun-Quan Luo3, Wen-Hai Wang4, Shi-Bing Su5.   

Abstract

OBJECTIVES: This study aims to investigate the metabolic profiles of postoperative colorectal cancer (PCRC) patients with different traditional Chinese medicine (TCM) syndromes and to discuss the metabolic mechanism under PCRC progression and TCM syndrome classification.
METHODS: Fifty healthy controls (HC) and 70 PCRC patients, including 10 Dampness and heat syndrome (DHS), 33 Spleen deficiency syndrome (SDS), 19 Liver and kidney Yin deficiency syndrome (LKYDS) and 8 with non-TCM syndrome (NS) were enrolled. Plasma metabolic profiles were detected by Gas chromatography-mass spectrometry (GC-MS) and analyzed by principal component analysis (PCA) and partial least squares-discriminate analysis (PLS-DA). Furthermore, pathway enrichment was analyzed based on KEGG and DAVID databases and metabolic network was constructed via metaboanalyst and cytoscape.
RESULTS: The top-3 metabolites with higher abundance in PCRC compared with HC were terephthalic acid (165.417-fold), ornithine (24.484-fold) and aminomalonic acid (21.346-fold). And the cholesterol (0.588-fold) level was decreased in PCRC. l-Alanine, 1, 2-ethanediamine, urea, glycerol, glycine, aminomalonic acid, creatinine and palmitic acid were specifically altered in the DHS, while d-tryptophan was exclusively changed in SDS, and l-proline, 1, 2, 3-propanetricarboxylic acid, d-galactose and 2-indolecarboxylic acids in LKYDS.
CONCLUSIONS: The plasma metabolic profiles were perturbed in PCRC patients. Increased levels of terephthalic acid might indicate high risk of relapse and elevated ornithine may contribute to the post-operational recovery or may raise the susceptibility to PCRC recurrence. The metabolic profiles of DHS, SDS, LKYDS and NS were almost separately clustered, indicating the possibility of explaining TCM syndromes classification using metabolomics. Furthermore, creatinine and aminomalonic acid alternation might correlate with the formation of DHS, while d-tryptophan may associate with SDS and d-galactose and 1, 2, 3-propanetricarboxylic acid may relate to LKYDS. As numbers of patients in each TCM syndrome are small, further study is needed to verify those results.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Colorectal cancer; Gas chromatography-mass spectrometry; Metabolite; Postoperative; Traditional Chinese medicine syndrome

Mesh:

Substances:

Year:  2017        PMID: 29458921     DOI: 10.1016/j.ctim.2017.11.006

Source DB:  PubMed          Journal:  Complement Ther Med        ISSN: 0965-2299            Impact factor:   2.446


  5 in total

Review 1.  Evidence-Based Dampness-Heat ZHENG (Syndrome) in Cancer: Current Progress toward Establishing Relevant Animal Model with Pancreatic Tumor.

Authors:  Ju-Ying Jiao; Chien-Shan Cheng; Zhang-Qi Cao; Lian-Yu Chen; Zhen Chen
Journal:  Chin J Integr Med       Date:  2022-06-20       Impact factor: 1.978

2.  Therapeutic Effect and Mechanism of Bushen-Jianpi-Jiedu Decoction Combined with Chemotherapeutic Drugs on Postoperative Colorectal Cancer.

Authors:  Meng-Die Yang; Wen-Jun Zhou; Xiao-Le Chen; Jian Chen; Qing Ji; Qi Li; Wen-Hai Wang; Shi-Bing Su
Journal:  Front Pharmacol       Date:  2021-03-22       Impact factor: 5.810

3.  Plasma Metabolomics Reveals Diagnostic Biomarkers and Risk Factors for Esophageal Squamous Cell Carcinoma.

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Journal:  Front Oncol       Date:  2022-02-07       Impact factor: 6.244

4.  Study of Correlation between Intestinal Microbiota and Traditional Chinese Medicine Syndrome of Patients with Colon Cancer.

Authors:  Lu-Yao Tuo; Zhi-Rui Zhang; Hong Xin; Xu Chu; Wei Xu
Journal:  Evid Based Complement Alternat Med       Date:  2022-07-11       Impact factor: 2.650

5.  Anti-colorectal cancer effects of scutellarin revealed by genomic and proteomic analysis.

Authors:  Liu-Lin Xiong; Ruo-Lan Du; Lu-Lu Xue; Ya Jiang; Jin Huang; Li Chen; Jia Liu; Ting-Hua Wang
Journal:  Chin Med       Date:  2020-03-26       Impact factor: 5.455

  5 in total

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