Journal of Inflammation Research (Jul 2021)
Systematic Metabolic Profiling of Mice with Dextran Sulfate Sodium-Induced Colitis
Abstract
Dadi Xie,1,* Fengfeng Li,1,* Deshui Pang,1 Shiyuan Zhao,2 Meihua Zhang,1 Zhongfa Ren,1 Chunmei Geng,2 Changshui Wang,3 Ning Wei,4 Pei Jiang2 1Tengzhou Central People’s Hospital, Tengzhou, 277500, People’s Republic of China; 2Jining First People’s Hospital, Jining Medical University, Jining, 272000, People’s Republic of China; 3Affiliated Hospital of Jining Medical University, Jining Medical University, Jining, 272000, People’s Republic of China; 4Shanting District People’s Hospital, Zaozhuang, 277200, People’s Republic of China*These authors contributed equally to this workCorrespondence: Meihua ZhangTengzhou Central People’s Hospital, Xingtan Road, Tenzhou, 277500, People’s Republic of ChinaTel/Fax +86 0632-5512227Email [email protected] JiangJining First People’s Hospital, Jning Medical University, Jiankang Road, Jining, 272000, People’s Republic of ChinaTel/Fax + 86 0537-2106208Email [email protected]: 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.Keywords: inflammatory bowel disease, metabolite, GC-MS, dextran sodium sulfate, biomarker
