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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Main Authors: Qiu Xu, Lu Ruohan, He Qiqing, Chen Shu, Huang Caihua, Lin Donghai
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. 2023-09-01
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.
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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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AT chenshu metabolicsignaturesandpotentialbiomarkersforthediagnosisandtreatmentofcoloncancercachexia
AT huangcaihua metabolicsignaturesandpotentialbiomarkersforthediagnosisandtreatmentofcoloncancercachexia
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