4.6 Article

Systematic Metabolic Profiling of Mice with Dextran Sulfate Sodium-Induced Colitis

Journal

JOURNAL OF INFLAMMATION RESEARCH
Volume 14, Issue -, Pages 2941-2953

Publisher

DOVE MEDICAL PRESS LTD
DOI: 10.2147/JIR.S313374

Keywords

inflammatory bowel disease; metabolite; GC-MS; dextran sodium sulfate; biomarker

Categories

Funding

  1. Key Research and Development Program of Jining Science and Technology [2019SMNS012]
  2. Taishan Scholar Project of Shandong Province [tsqn201812159]
  3. National Natural Science Foundation of China [81602846]

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This study aimed to evaluate the utility metabolomic analysis of target tissues in exploring new biomarkers for early diagnosis and treatment of IBD. The results showed significant changes in amino acid, organic acid, glucide, and purine profiles, impacting pathways ranging from amino acid metabolism to purine metabolism. Using GC-MS-based profiling of metabolite changes may provide a more comprehensive view for understanding IBD pathogenesis.
Purpose: Inflammatory bowel diseases (IBD) are a chronic inflammatory disease, which affects almost all tissues in the body. Previous studies mainly focused on breathing, fecal, and urine samples of patients with IBD. However, there is no comprehensive metabolomic analysis of the serum, colon, heart, liver, kidney, cortex, hippocampus, and brown fat tissues. Therefore, the aim of our study is to evaluate the utility metabolomic analysis of target tissues in the pathogenesis of IBD in exploring new biomarkers for early diagnosis and treatment. Methods: Male Sprague-Dawley rats were randomly allocated to control and DSS-treated groups (n = 7). Dextran sulfate sodium (DSS) was orally administered for 6 weeks. Gas chromatography-mass spectrometry (GC-MS) was used for metabolite determination, multivariate statistical analysis was used to identify metabolites that were differentially expressed in two groups. Results: Our results showed that 3, 11, 12, 6, 5, 13, 13, and 11 metabolites were differentially expressed between the DSS treatment group and the control group in the serum, colon, heart, liver, kidney, cortex, hippocampus, and brown fat tissues, respectively. The most significant change of metabolites in the study was amino acid (L-alanine, L-glutamic acid, L-phenylalanine, L-proline, L-lysine, L-isoleucine, L-tryptophan, L-norleucine, L-valine, glycine, serine, L-threonine), organic acid (citric acid, 3-hydroxybutyric acid, propanoic acid), glucide (D-arabinose, D-fructose) and purine (9H-purin-6-ol, D-ribose) profiles. Several pathways were affected according to the integrated pathway analysis. These pathways ranged from amino acid metabolism (such as alanine, aspartate, and glutamate metabolism, glutathione metabolism) to purine metabolism (aminoacyl-tRNA biosynthesis). Conclusion: Using GC-MS-based profiling of metabolite changes, these results may provide a more comprehensive view for IBD and IBD-related diseases and improve the understanding of IBD pathogenesis.

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