Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia
Cancer cachexia (CAC) is a debilitating condition that often arises from noncachexia cancer (NCAC), with distinct metabolic characteristics and medical treatments. However, the metabolic changes and underlying molecular mechanisms during ca...
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Format: | Article |
Language: | English |
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China Science Publishing & Media Ltd.
2023-09-01
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Series: | Acta Biochimica et Biophysica Sinica |
Subjects: | |
Online Access: | https://www.sciengine.com/doi/10.3724/abbs.2023151 |
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author | Qiu Xu Lu Ruohan He Qiqing Chen Shu Huang Caihua Lin Donghai |
author_facet | Qiu Xu Lu Ruohan He Qiqing Chen Shu Huang Caihua Lin Donghai |
author_sort | Qiu Xu |
collection | DOAJ |
description | Cancer cachexia (CAC) is a debilitating condition that often arises from noncachexia cancer (NCAC), with distinct metabolic characteristics and medical treatments. However, the metabolic changes and underlying molecular mechanisms during cachexia progression remain poorly understood. Understanding the progression of CAC is crucial for developing diagnostic approaches to distinguish between CAC and NCAC stages, facilitating appropriate treatment for cancer patients. In this study, we establish a mouse model of colon CAC and categorize the mice into three groups: CAC, NCAC and normal control (NOR). By performing nuclear magnetic resonance (NMR)-based metabolomic profiling on mouse sera, we elucidate the metabolic properties of these groups. Our findings unveil significant differences in the metabolic profiles among the CAC, NCAC and NOR groups, highlighting significant impairments in energy metabolism and amino acid metabolism during cachexia progression. Additionally, we observe the elevated serum levels of lysine and acetate during the transition from the NCAC to CAC stages. Using multivariate ROC analysis, we identify lysine and acetate as potential biomarkers for distinguishing between CAC and NCAC stages. These biomarkers hold promise for the diagnosis of CAC from noncachexia cancer. Our study provides novel insights into the metabolic mechanisms underlying cachexia progression and offers valuable avenues for the diagnosis and treatment of CAC in clinical settings. |
first_indexed | 2024-03-08T22:29:24Z |
format | Article |
id | doaj.art-6e9f2f6c18954a629e46c116031f3641 |
institution | Directory Open Access Journal |
issn | 1672-9145 |
language | English |
last_indexed | 2024-03-08T22:29:24Z |
publishDate | 2023-09-01 |
publisher | China Science Publishing & Media Ltd. |
record_format | Article |
series | Acta Biochimica et Biophysica Sinica |
spelling | doaj.art-6e9f2f6c18954a629e46c116031f36412023-12-18T07:08:01ZengChina Science Publishing & Media Ltd.Acta Biochimica et Biophysica Sinica1672-91452023-09-01551913192410.3724/abbs.202315120d259ccMetabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexiaQiu Xu0Lu Ruohan1He Qiqing2Chen Shu3Huang Caihua4Lin Donghai5["Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China"]["Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China"]["Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China"]["Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China"]["Research and Communication Center of Exercise and Health, Xiamen University of Technology, Xiamen 361005, China"]["Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China"]Cancer cachexia (CAC) is a debilitating condition that often arises from noncachexia cancer (NCAC), with distinct metabolic characteristics and medical treatments. However, the metabolic changes and underlying molecular mechanisms during cachexia progression remain poorly understood. Understanding the progression of CAC is crucial for developing diagnostic approaches to distinguish between CAC and NCAC stages, facilitating appropriate treatment for cancer patients. In this study, we establish a mouse model of colon CAC and categorize the mice into three groups: CAC, NCAC and normal control (NOR). By performing nuclear magnetic resonance (NMR)-based metabolomic profiling on mouse sera, we elucidate the metabolic properties of these groups. Our findings unveil significant differences in the metabolic profiles among the CAC, NCAC and NOR groups, highlighting significant impairments in energy metabolism and amino acid metabolism during cachexia progression. Additionally, we observe the elevated serum levels of lysine and acetate during the transition from the NCAC to CAC stages. Using multivariate ROC analysis, we identify lysine and acetate as potential biomarkers for distinguishing between CAC and NCAC stages. These biomarkers hold promise for the diagnosis of CAC from noncachexia cancer. Our study provides novel insights into the metabolic mechanisms underlying cachexia progression and offers valuable avenues for the diagnosis and treatment of CAC in clinical settings.https://www.sciengine.com/doi/10.3724/abbs.2023151cancer cachexiaserumNMR-based metabolomicsmetabolic profilebiomarker |
spellingShingle | Qiu Xu Lu Ruohan He Qiqing Chen Shu Huang Caihua Lin Donghai Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia Acta Biochimica et Biophysica Sinica cancer cachexia serum NMR-based metabolomics metabolic profile biomarker |
title | Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia |
title_full | Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia |
title_fullStr | Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia |
title_full_unstemmed | Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia |
title_short | Metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia |
title_sort | metabolic signatures and potential biomarkers for the diagnosis and treatment of colon cancer cachexia |
topic | cancer cachexia serum NMR-based metabolomics metabolic profile biomarker |
url | https://www.sciengine.com/doi/10.3724/abbs.2023151 |
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