Detection of metabolic signatures implicated in the progression from hepatitis to cirrhosis to hepatocellular carcinoma

Simiao Yu , Sici Wang , Jiahui Li , Haocheng Zheng , Ping Li , Wenya Rong , Jing Jing , Tingting He , Yongqiang Sun , Liping Wang , Zhenyu Zhu , Xia Ding , Ruilin Wang
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Abstract

Background and aims

Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths worldwide. The mechanisms driving the transition from hepatitis to cirrhosis, and eventually, to HCC are unclear. This study aimed to clarify the metabolic changes that underly the progression of HCC and identify potential prognostic and therapeutic biomarkers.

Methods

This prospective study collected serum samples from patients with chronic hepatitis, cirrhosis, or HCC, hospitalized at the Fifth Medical Center of the PLA General Hospital, from December 2022 to December 2023. The samples were analyzed using non-targeted, ultra-high-performance liquid chromatography and mass spectrometry. Partial least squares-discriminant analysis modeling and t-tests were used to identify key differentially expressed metabolites associated with the progression from hepatitis to cirrhosis to HCC. Pathway enrichment analysis was conducted to determine the key metabolic pathways involved, while machine learning models were applied to identify the metabolite signatures.

Results

We identified 153 differentially expressed metabolites in the progression from hepatitis to cirrhosis to HCC, many of which were involved in ammonia cycling or the metabolism of methylhistidine, alanine, arginine, proline, or betaine. We also identified L-histidine and adenosine as the metabolites that demonstrated significant sensitivity and specificity for distinguishing among the hepatitis, cirrhosis, and HCC stages.

Conclusions

Our study comprehensively characterized the metabolic profiles of the different stages of the hepatitis-cirrhosis-HCC transition. We showed that serum metabolite detection is a viable diagnostic tool for identifying and monitoring high-risk individuals, which could potentially be used to halt the development of HCC.
从肝炎到肝硬化再到肝细胞癌过程中代谢特征的检测
背景和目的肝细胞癌(HCC)是全球癌症相关死亡的第三大原因。从肝炎到肝硬化并最终向HCC转变的机制尚不清楚。本研究旨在阐明HCC进展背后的代谢变化,并确定潜在的预后和治疗生物标志物。方法本前瞻性研究收集了2022年12月至2023年12月在解放军总医院第五医学中心住院的慢性肝炎、肝硬化或HCC患者的血清样本。样品采用非靶向、超高效液相色谱和质谱分析。使用偏最小二乘判别分析模型和t检验来确定与肝炎到肝硬化再到HCC进展相关的关键差异表达代谢物。途径富集分析用于确定涉及的关键代谢途径,而机器学习模型用于识别代谢物特征。结果:我们鉴定出153种差异表达的代谢物在从肝炎到肝硬化再到HCC的过程中,其中许多与氨循环或甲基组氨酸、丙氨酸、精氨酸、脯氨酸或甜菜碱的代谢有关。我们还发现l -组氨酸和腺苷作为代谢物,在区分肝炎、肝硬化和HCC分期方面表现出显著的敏感性和特异性。结论我们的研究全面表征了肝炎-肝硬化- hcc转化过程中不同阶段的代谢特征。我们发现血清代谢物检测是一种可行的诊断工具,用于识别和监测高危人群,可能用于阻止HCC的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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