Department of Gastroenterology and Hepatology, Ghent University Hospital, Belgium.
Eur J Gastroenterol Hepatol. 2011 Aug;23(8):701-10. doi: 10.1097/MEG.0b013e3283471b74.
Liver biopsy is an imperfect standard for the assessment of chronic hepatitis C liver fibrosis. In this study, the diagnostic role of proteome-derived protein markers and the usefulness of a protein-based index were assessed.
Characteristics, clinical biochemistry, and protein markers of patients with chronic hepatitis C from a study (n=62) and validation group (n=73) were statistically assessed according to fibrosis severity. Multivariate models were built using linear discriminant analysis for the prediction of minor fibrosis (F0-F1), moderate fibrosis (F2-F3), and cirrhosis (F4). The best model was validated and diagnostic performance was compared with the aspartate aminotransferase-to-platelet ratio index based on their receiver operator characteristic curves.
Statistical analysis resulted in significant outcomes for both clinical and protein markers. The best multivariate model was based on four protein markers: α-2-macroglobulin (A2M), haptoglobin, hemopexin, and galectin-3-binding protein. A2M and hemopexin were the primary predictors according to this model. A novel index A2M/hemopexin [fibrosis-protein (FI-PRO) index] showed a diagnostic performance rate of 0.80-0.92 for the detection of significant fibrosis (F2-F4) and advanced fibrosis (F3-F4) in the validation group, which was better compared with aspartate aminotransferase-to-platelet ratio index. FI-PRO had an overall positive predictive value of 86% for significant fibrosis and a negative predictive value of at least 90% for advanced fibrosis.
Proteome-derived protein markers were successfully implemented in clinical diagnosis of hepatitis C fibrosis, which resulted in the FI-PRO index. The efficiency and usability of FI-PRO should be validated in large-scale, prospective studies.
肝活检是评估慢性丙型肝炎肝纤维化的不完美标准。本研究评估了蛋白质组衍生蛋白标志物的诊断作用和基于蛋白的指数的实用性。
根据纤维化严重程度,对来自研究(n=62)和验证组(n=73)的慢性丙型肝炎患者的特征、临床生物化学和蛋白标志物进行统计学评估。使用线性判别分析建立多元模型,用于预测轻度纤维化(F0-F1)、中度纤维化(F2-F3)和肝硬化(F4)。对最佳模型进行验证,并根据其接收者操作特征曲线比较与天冬氨酸氨基转移酶-血小板比值指数的诊断性能。
统计分析对临床和蛋白标志物均产生了显著结果。最佳多元模型基于 4 个蛋白标志物:α-2-巨球蛋白(A2M)、触珠蛋白、血红素结合蛋白和半乳糖凝集素-3 结合蛋白。根据该模型,A2M 和血红素结合蛋白是主要预测因子。新型指数 A2M/血红素结合蛋白[纤维化蛋白(FI-PRO)指数]在验证组中对显著纤维化(F2-F4)和进展性纤维化(F3-F4)的检测率为 0.80-0.92,优于天冬氨酸氨基转移酶-血小板比值指数。FI-PRO 对显著纤维化的总阳性预测值为 86%,对进展性纤维化的阴性预测值至少为 90%。
蛋白质组衍生的蛋白标志物成功地应用于丙型肝炎纤维化的临床诊断,由此产生了 FI-PRO 指数。FI-PRO 的效率和可用性应在大规模前瞻性研究中得到验证。