Serum N-Glycan Markers for Diagnosing Significant Liver Fibrosis and Cirrhosis in Chronic Hepatitis B Patients with Normal Alanine Aminotransferase Levels

被引:5
作者
Wang, Lin [1 ,2 ]
Liu, Yiqi [3 ]
Gu, Qixin [1 ,2 ]
Zhang, Chi [3 ]
Xu, Lei [4 ]
Wang, Lei [4 ]
Chen, Cuiying [4 ]
Liu, Xueen [1 ,2 ]
Zhao, Hong [3 ]
Zhuang, Hui [1 ,2 ]
机构
[1] Peking Univ Hlth Sci Ctr, Dept Microbiol, Sch Basic Med Sci, Beijing 100191, Peoples R China
[2] Peking Univ Hlth Sci Ctr, Ctr Infect Dis, Sch Basic Med Sci, Beijing 100191, Peoples R China
[3] Peking Univ First Hosp, Ctr Liver Dis, Dept Infect Dis, Beijing 100034, Peoples R China
[4] Sysdiagno Nanjing Biotechnol Co Ltd, Nanjing 211800, Peoples R China
来源
ENGINEERING | 2023年 / 26卷
关键词
Liver fibrosis; Chronic hepatitis B; Serum N -glycan; N -glycan model; Alanine aminotransferase (ALT) level; HEPATOCELLULAR-CARCINOMA; NONINVASIVE DIAGNOSIS; TRANSIENT ELASTOGRAPHY; STIFFNESS MEASUREMENT; GLYCOSYLATION; PERFORMANCE; MECHANISMS;
D O I
10.1016/j.eng.2023.03.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The aim of this study was to explore the role of serum N-glycomic-derived models in diagnosing signifi-cant liver fibrosis and cirrhosis in 285 chronic hepatitis B (CHB) patients with normal (< 40 IU center dot L-1) alanine aminotransferase (ALT) levels. Liver biopsies were performed in all enrolled patients, and the stages of liver fibrosis were assessed using the Ishak scoring system. Serum N-glycan profiles were tested using DNA sequencer-assisted fluorophore-assisted carbohydrate electrophoresis (DSA-FACE). A total of nine N-glycan peaks were identified in serum samples for each subject. A machine learning method-namely, random forest (RF) analysis-was adopted to construct more ideal serum N-glycan models in order to distinguish significant liver fibrosis (>= F3) and cirrhosis (>= F5). The diagnostic value of the constructed N-glycan models and other fibrotic markers was evaluated. The liver biopsy results revealed that 63.86% (182/285) and 16.49% (47/285) of patients had significant liver fibrosis and cirrhosis, respectively, and 4.91% (14/285) of patients had significant inflammation. In distinguishing significant liver fibrosis, the diagnostic efficiency of the serum N-glycan RF model constructed for distinguishing significant liver fibrosis (>= F3; RF-A model) was excellent (area under receiver operating characteristic (AUROC) curve: 0.94), and the coincidence rate of the serum N-glycan RF-A model compared with liver biopsy was 90.45%. In distinguishing liver cirrhosis, the diagnostic AUROC curve of the serum N-glycan RF model con-structed for distinguishing liver cirrhosis (>= F5; RF-B model) was 0.97, and the coincidence rate was 88.94%. The diagnostic efficiency of the constructed serum N-glycan models (RF-A and RF-B) was superior to that of liver stiffness measurement (LSM), the fibrosis index based on the four factors (FIB-4), and the aspartate aminotransferase-to-platelet ratio index (APRI). Serum N-glycan models are promising markers for the differentiation of significant liver fibrosis and cirrhosis in CHB patients with normal ALT levels. (c) 2023 THE AUTHORS.
引用
收藏
页码:151 / 158
页数:8
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