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.
Acta Biochim Biophys Sin (Shanghai). 2023 Dec 25;55(12):1913-1924. doi: 10.3724/abbs.2023151.
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.
癌症恶病质(CAC)是一种使人虚弱的疾病,通常由非恶病质癌症(NCAC)引起,具有明显的代谢特征和治疗方法。然而,恶病质进展过程中的代谢变化和潜在的分子机制仍知之甚少。了解 CAC 的进展对于开发诊断方法来区分 CAC 和 NCAC 阶段至关重要,从而为癌症患者提供适当的治疗。在这项研究中,我们建立了一个结直肠癌 CAC 的小鼠模型,并将小鼠分为三组:CAC、NCAC 和正常对照(NOR)。通过对小鼠血清进行基于核磁共振(NMR)的代谢组学分析,我们阐明了这些组的代谢特性。我们的研究结果揭示了 CAC、NCAC 和 NOR 组之间代谢谱的显著差异,突出了在恶病质进展过程中能量代谢和氨基酸代谢的显著受损。此外,我们观察到在从 NCAC 向 CAC 阶段过渡期间,赖氨酸和乙酸盐的血清水平升高。通过多元 ROC 分析,我们确定赖氨酸和乙酸盐是区分 CAC 和 NCAC 阶段的潜在生物标志物。这些生物标志物有望用于从非恶病质癌症中诊断 CAC。我们的研究为恶病质进展的代谢机制提供了新的见解,并为临床环境中 CAC 的诊断和治疗提供了有价值的途径。