Metabolite profiling in assessing ulcerative colitis activity: A systematic review
Background: Ulcerative colitis (UC) is an immune-mediated chronic inflammatory condition of the colon, characterized by defects in the intestinal epithelial barrier, dysbiosis of the microbiota, and immune dysregulation. Metabolite profile has been widely and successfully used to characterize patien...
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Elsevier
2025-03-01
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| Series: | Human Nutrition & Metabolism |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666149725000015 |
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| author | Danyang Cui Xu Han Jiazhu Jin Yanhong Wang Zijia Chen Yang Gong Miao Jiang |
| author_facet | Danyang Cui Xu Han Jiazhu Jin Yanhong Wang Zijia Chen Yang Gong Miao Jiang |
| author_sort | Danyang Cui |
| collection | DOAJ |
| description | Background: Ulcerative colitis (UC) is an immune-mediated chronic inflammatory condition of the colon, characterized by defects in the intestinal epithelial barrier, dysbiosis of the microbiota, and immune dysregulation. Metabolite profile has been widely and successfully used to characterize patient features in UC, as the development of metabolomics technology. Specific combinations of small metabolites can accurately depict the real-time pathological state of the body. Previous systematic reviews have focused on metabolite analysis between UC patients and healthy individuals, but have not systematically evaluated metabolite changes in different disease stages. This study focused on distinguish between patients in active and inactive phases, and even have the potential to predict changes in disease activity. Aim: To summarize the distinct metabolites between the active and remission phases in serum and colonic mucosa in patients with UC. Methods: A comprehensive literature search was conducted in PubMed, Embase, the Cochrane Library, Web of Science, WanFang Data, and China National Knowledge Infrastructure from 1995 to 2022. Studies were selected which included metabolomics detection on serum or mucosal samples from patients with active or remission phase UC. The disease activity was assessed by using the Mayo score, Ulcerative colitis activity index score, or Geboes score. The risk of bias was assessed using the Newcastle-Ottawa Scale. Results: Eleven articles (10 in English and 1 in Chinese) and 357 patients were included. Qualitative analysis was performed according to the classification of gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry, or nuclear magnetic resonance. In the active period of UC, metabolites such as lipids, Amino acids showed a certain trend of change. Arachidonic acid showed specific upregulation in both serum and mucosal samples during the active stage in patients with UC. Conclusion: There exists an association between metabolite profile and disease activity in patients with UC. Especially in patients with active UC, the lipid metabolite (arachidonic acid) is highly expressed simultaneously in the serum and mucosa. This finding will identify small molecule biomarkers that may potentially replace colonoscopy in the assessment and prediction of UC disease activity in the future, which indicates a significant potential for biomarker development. |
| format | Article |
| id | doaj-art-f28b1b33e7d948ddb3db1ade2a3568fb |
| institution | Kabale University |
| issn | 2666-1497 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Human Nutrition & Metabolism |
| spelling | doaj-art-f28b1b33e7d948ddb3db1ade2a3568fb2025-02-06T05:12:48ZengElsevierHuman Nutrition & Metabolism2666-14972025-03-0139200298Metabolite profiling in assessing ulcerative colitis activity: A systematic reviewDanyang Cui0Xu Han1Jiazhu Jin2Yanhong Wang3Zijia Chen4Yang Gong5Miao Jiang6Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China; General Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, ChinaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, ChinaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, ChinaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, ChinaInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, ChinaGeneral Hospital of Northern Theater Command, Shenyang, Liaoning, 110016, China; Corresponding author.Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, 100700, China; Corresponding author.Background: Ulcerative colitis (UC) is an immune-mediated chronic inflammatory condition of the colon, characterized by defects in the intestinal epithelial barrier, dysbiosis of the microbiota, and immune dysregulation. Metabolite profile has been widely and successfully used to characterize patient features in UC, as the development of metabolomics technology. Specific combinations of small metabolites can accurately depict the real-time pathological state of the body. Previous systematic reviews have focused on metabolite analysis between UC patients and healthy individuals, but have not systematically evaluated metabolite changes in different disease stages. This study focused on distinguish between patients in active and inactive phases, and even have the potential to predict changes in disease activity. Aim: To summarize the distinct metabolites between the active and remission phases in serum and colonic mucosa in patients with UC. Methods: A comprehensive literature search was conducted in PubMed, Embase, the Cochrane Library, Web of Science, WanFang Data, and China National Knowledge Infrastructure from 1995 to 2022. Studies were selected which included metabolomics detection on serum or mucosal samples from patients with active or remission phase UC. The disease activity was assessed by using the Mayo score, Ulcerative colitis activity index score, or Geboes score. The risk of bias was assessed using the Newcastle-Ottawa Scale. Results: Eleven articles (10 in English and 1 in Chinese) and 357 patients were included. Qualitative analysis was performed according to the classification of gas chromatography/mass spectrometry, liquid chromatography/mass spectrometry, or nuclear magnetic resonance. In the active period of UC, metabolites such as lipids, Amino acids showed a certain trend of change. Arachidonic acid showed specific upregulation in both serum and mucosal samples during the active stage in patients with UC. Conclusion: There exists an association between metabolite profile and disease activity in patients with UC. Especially in patients with active UC, the lipid metabolite (arachidonic acid) is highly expressed simultaneously in the serum and mucosa. This finding will identify small molecule biomarkers that may potentially replace colonoscopy in the assessment and prediction of UC disease activity in the future, which indicates a significant potential for biomarker development.http://www.sciencedirect.com/science/article/pii/S2666149725000015Ulcerative colitisMetabolomicsEndoscopic activityMucosal healingBiomarkers |
| spellingShingle | Danyang Cui Xu Han Jiazhu Jin Yanhong Wang Zijia Chen Yang Gong Miao Jiang Metabolite profiling in assessing ulcerative colitis activity: A systematic review Human Nutrition & Metabolism Ulcerative colitis Metabolomics Endoscopic activity Mucosal healing Biomarkers |
| title | Metabolite profiling in assessing ulcerative colitis activity: A systematic review |
| title_full | Metabolite profiling in assessing ulcerative colitis activity: A systematic review |
| title_fullStr | Metabolite profiling in assessing ulcerative colitis activity: A systematic review |
| title_full_unstemmed | Metabolite profiling in assessing ulcerative colitis activity: A systematic review |
| title_short | Metabolite profiling in assessing ulcerative colitis activity: A systematic review |
| title_sort | metabolite profiling in assessing ulcerative colitis activity a systematic review |
| topic | Ulcerative colitis Metabolomics Endoscopic activity Mucosal healing Biomarkers |
| url | http://www.sciencedirect.com/science/article/pii/S2666149725000015 |
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