慢性乙型肝炎进展的代谢指纹:代谢组的变化和新的诊断可能性。

Hien Thi Thu Nguyen, Reinhard Wimmer, Vang Quy Le, Henrik Bygum Krarup
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引用次数: 6

摘要

慢性乙型肝炎(CHB)影响全球2.57亿人,每年估计死亡率为88万人。准确诊断疾病的阶段是困难的,并且在最佳时间点上有相当大的不确定性,什么时候应该开始治疗。目的:通过分析和比较CHB不同阶段患者的代谢组,并将其与健康个体进行比较,我们希望确定疾病进展的代谢特征,并建立一种更准确的基于代谢组的疾病进展诊断方法,最终为治疗决策提供更好的依据。方法:在本研究中,我们采用瞬态弹性成像和血清代谢组学相结合的方法,对90例慢性乙型肝炎患者在治疗前和治疗中(随访时间长达10年)的307份血清样本进行了分析,这些患者在临床阶段处于不同的进展阶段,43名健康对照。我们的数据表明,代谢组学方法可以成功地发现CHB从免疫耐受期到免疫清除期的变化,并在不同的治疗阶段显示出不同的代谢组。氨解毒、谷氨酰胺和谷氨酸代谢、蛋氨酸代谢、支链氨基酸失调和三羧酸(TCA)循环的紊乱是疾病进展的主要因素。天冬氨酸、谷氨酸、谷氨酰胺、蛋氨酸和其他13种代谢物的波动增加是病情进展的指纹。结论:代谢组学方法可扩大慢性乙型肝炎患者的诊断范围。该方法可为开始治疗提供更详细的决策依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolic fingerprint of progression of chronic hepatitis B: changes in the metabolome and novel diagnostic possibilities.

Introduction: Chronic hepatitis B (CHB) affects 257 million individuals worldwide with an annual estimated mortality rate of 880,000 individuals. Accurate diagnosis of the stage of disease is difficult, and there is considerable uncertainty concerning the optimal point in time, when treatment should be started.

Objectives: By analyzing and comparing the metabolomes of patients at different stages of CHB and comparing them to healthy individuals, we want to determine the metabolic signature of disease progression and develop a more accurate metabolome-based method for diagnosis of disease progression ultimately giving a better basis for treatment decisions.

Methods: In this study, we used the combination of transient elastography and serum metabolomics of 307 serum samples from a group of 90 patients with CHB before and under treatment (with a follow-up time up to 10 years) at different progression stages over the clinical phases and 43 healthy controls..

Results: Our data show that the metabolomics approach can successfully discover CHB changing from the immune tolerance to the immune clearance phase and show distinctive metabolomes from different medical treatment stages. Perturbations in ammonia detoxification, glutamine and glutamate metabolism, methionine metabolism, dysregulation of branched-chain amino acids, and the tricarboxylic acid (TCA) cycle are the main factors involved in the progression of the disease. Fluctuations increasing in aspartate, glutamate, glutamine, methionine and 13 other metabolites are fingerprints of progression.

Conclusions: The metabolomics approach may expand the diagnostic armamentarium for patients with CHB. This method can provide a more detailed decision basis for starting medical treatment.

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