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Serum metabolomic signatures discriminate early liver inflammation and fibrosis stages in patients with chronic hepatitis B

机译:血清代谢组学特征可区分慢性乙型肝炎患者的早期肝脏炎症和纤维化阶段

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摘要

Chronic HBV (CHB) infected patients with intermediate necroinflammation and fibrosis are recommended to receive antiviral treatment. However, other than liver biopsy, there is a lack of sensitive and specific objective method to determine the necroinflammation and fibrosis stages in CHB patients. This study aims to identify unique serum metabolomic profile associated with histological progression in CHB patients and to develop novel metabolite biomarker panels for early CHB detection and stratification. A comprehensive metabolomic profiling method was established to compare serum samples collected from health donor (n = 67), patients with mild (G < 2 and S < 2, CHB1, n = 52) or intermediate (G ≥ 2 or S ≥ 2, CHB2, n = 36) necroinflammation and fibrosis. Multivariate models were developed to differentiate CHB1 and CHB2 from controls. A set of CHB-associated biomarkers was identified, including lysophosphatidylcholines, phosphatidylcholines, phosphatidylinositol, phosphatidylserine, and bile acid metabolism products. Stratification of CHB1 and CHB2 patients by a simple logistic index, the PIPSindex, based on phosphatidylinositol (PI) and phosphatidylserine (PS), was achieved with an AUC of 0.961, which outperformed all currently available markers. A panel of serum metabolites that differentiate health control, CHB1 and CHB2 patients has been identified. The proposed metabolomic biosignature has the potential to be used as indicator for antiviral treatment for CHB management.
机译:建议患有中度坏死性炎症和纤维化的慢性HBV(CHB)感染患者接受抗病毒治疗。但是,除了肝活检外,尚缺乏确定CHB患者坏死性炎症和纤维化分期的灵敏和特定的客观方法。这项研究的目的是确定与CHB患者的组织学进展相关的独特的血清代谢组学特征,并开发新型的代谢物生物标志物组,用于CHB的早期检测和分层。建立了一种综合的代谢组学分析方法,以比较从健康供体(n = 67),轻度(G <2和S <2,CHB1,n = 52)或中度(G≥2或S≥2, CHB2,n = 36)坏死性炎症和纤维化。开发了多变量模型以将CHB1和CHB2与对照区分开。鉴定出一组与CHB相关的生物标记,包括溶血磷脂酰胆碱,磷脂酰胆碱,磷脂酰肌醇,磷脂酰丝氨酸和胆汁酸代谢产物。通过简单的逻辑指数,即基于磷脂酰肌醇(PI)和磷脂酰丝氨酸(PS)的PIPS指数对CHB1和CHB2患者进行分层,其AUC为0.961,优于目前所有可用的指标。已鉴定出一组可区分健康控制,CHB1和CHB2患者的血清代谢物。拟议的代谢组学生物特征有可能用作CHB管理抗病毒治疗的指标。

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