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Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis
Chemotherapy-induced intestinal mucositis (CIM) is a major dose-limiting side effect of chemotherapy, especially in regimens containing irinotecan (CPT-11). Several studies on the pathologic mechanisms of CIM focused on both the genomics and molecular pathways triggered by chemotherapy. However, sys...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520243/ https://www.ncbi.nlm.nih.gov/pubmed/36188576 http://dx.doi.org/10.3389/fphar.2022.958882 |
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author | Yu, Qing-Qing Zhang, Heng Zhao, Shiyuan Xie, Dadi Zhao, Haibo Chen, Weidong Pang, Min Han, Baoqin Jiang, Pei |
author_facet | Yu, Qing-Qing Zhang, Heng Zhao, Shiyuan Xie, Dadi Zhao, Haibo Chen, Weidong Pang, Min Han, Baoqin Jiang, Pei |
author_sort | Yu, Qing-Qing |
collection | PubMed |
description | Chemotherapy-induced intestinal mucositis (CIM) is a major dose-limiting side effect of chemotherapy, especially in regimens containing irinotecan (CPT-11). Several studies on the pathologic mechanisms of CIM focused on both the genomics and molecular pathways triggered by chemotherapy. However, systematic evaluation of metabolomic analysis in irinotecan-induced intestinal mucositis (IIM) has not been investigated. This study aimed to comprehensively analyze metabolite changes in main tissues of IIM mouse models. Male ICR mice were assigned to two groups: the model group (n = 11) treated with CPT-11 (20 mg/kg daily; i.p.) and the control group (n= 11) with solvent for 9 days. Gas chromatography-mass spectrometry (GC-MS) was used to investigate the metabolic alterations in the serum, intestinal, colonic, hepatic, and splenic samples of mice between two groups by multivariate statistical analyses, including GC–MS data processing, pattern recognition analysis, and pathway analysis. Forty-six metabolites, including hydrocarbons, amino acids, lipids, benzenoids, hydroxy acids, and amines, had significant changes in levels in tissues and sera of IIM mouse models. The most important pathways related to the identified metabolites were the glycerolipid metabolism in the colon and aminoacyl-tRNA biosynthesis; glycine, serine, and threonine metabolism; and glyoxylate and dicarboxylate metabolism in the liver. Our study firstly provided a comprehensive and systematic view of metabolic alterations of IIM using GC-MS analysis. The characterizations of metabolic changes could offer profound and theoretical insight into exploring new biomarkers for diagnosis and treatment of IIM. |
format | Online Article Text |
id | pubmed-9520243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95202432022-09-30 Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis Yu, Qing-Qing Zhang, Heng Zhao, Shiyuan Xie, Dadi Zhao, Haibo Chen, Weidong Pang, Min Han, Baoqin Jiang, Pei Front Pharmacol Pharmacology Chemotherapy-induced intestinal mucositis (CIM) is a major dose-limiting side effect of chemotherapy, especially in regimens containing irinotecan (CPT-11). Several studies on the pathologic mechanisms of CIM focused on both the genomics and molecular pathways triggered by chemotherapy. However, systematic evaluation of metabolomic analysis in irinotecan-induced intestinal mucositis (IIM) has not been investigated. This study aimed to comprehensively analyze metabolite changes in main tissues of IIM mouse models. Male ICR mice were assigned to two groups: the model group (n = 11) treated with CPT-11 (20 mg/kg daily; i.p.) and the control group (n= 11) with solvent for 9 days. Gas chromatography-mass spectrometry (GC-MS) was used to investigate the metabolic alterations in the serum, intestinal, colonic, hepatic, and splenic samples of mice between two groups by multivariate statistical analyses, including GC–MS data processing, pattern recognition analysis, and pathway analysis. Forty-six metabolites, including hydrocarbons, amino acids, lipids, benzenoids, hydroxy acids, and amines, had significant changes in levels in tissues and sera of IIM mouse models. The most important pathways related to the identified metabolites were the glycerolipid metabolism in the colon and aminoacyl-tRNA biosynthesis; glycine, serine, and threonine metabolism; and glyoxylate and dicarboxylate metabolism in the liver. Our study firstly provided a comprehensive and systematic view of metabolic alterations of IIM using GC-MS analysis. The characterizations of metabolic changes could offer profound and theoretical insight into exploring new biomarkers for diagnosis and treatment of IIM. Frontiers Media S.A. 2022-09-15 /pmc/articles/PMC9520243/ /pubmed/36188576 http://dx.doi.org/10.3389/fphar.2022.958882 Text en Copyright © 2022 Yu, Zhang, Zhao, Xie, Zhao, Chen, Pang, Han and Jiang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Yu, Qing-Qing Zhang, Heng Zhao, Shiyuan Xie, Dadi Zhao, Haibo Chen, Weidong Pang, Min Han, Baoqin Jiang, Pei Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
title | Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
title_full | Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
title_fullStr | Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
title_full_unstemmed | Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
title_short | Systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
title_sort | systematic evaluation of irinotecan-induced intestinal mucositis based on metabolomics analysis |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520243/ https://www.ncbi.nlm.nih.gov/pubmed/36188576 http://dx.doi.org/10.3389/fphar.2022.958882 |
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