Program in Infectious Diseases and Immunity in Global Health, The Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada.
Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada.
PLoS One. 2018 Apr 2;13(4):e0195148. doi: 10.1371/journal.pone.0195148. eCollection 2018.
Hepatic complications of hepatitis C virus (HCV), including fibrosis and cirrhosis are accelerated in human immunodeficiency virus (HIV)-infected individuals. Although, liver biopsy remains the gold standard for staging HCV-associated liver disease, this test can result in serious complications and is subject to sampling errors. These challenges have prompted a search for non-invasive methods for liver fibrosis staging. To this end, we compared serum proteome profiles at different stages of fibrosis in HIV/HCV co- and HCV mono-infected patients using surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF MS).
Sera from 83 HIV/HCV co- and 68 HCV mono-infected subjects in 4 stages of fibrosis were tested. Sera were fractionated, randomly applied to protein chip arrays (IMAC, CM10 and H50) and spectra were generated at low and high laser intensities.
Sixteen biomarkers achieved a p value < 0.01 (ROC values > 0.75 or < 0.25) predictive of fibrosis status in co-infected individuals and 14 in mono infected subjects. Five of these candidate biomarkers contributed to both mono- and co-infected subjects. Candidate diagnostic algorithms were created to distinguish between non-fibrotic and fibrotic individuals using a panel of 4 biomarker peaks.
These data suggest that SELDI MS profiling can identify diagnostic serum biomarkers for fibrosis that are both common and distinct in HIV/HCV co-infected and HCV mono-infected individuals.
丙型肝炎病毒(HCV)感染患者的肝脏并发症,包括纤维化和肝硬化,在人类免疫缺陷病毒(HIV)感染个体中加速。尽管肝活检仍然是 HCV 相关肝病分期的金标准,但该检测可能导致严重并发症并存在取样误差。这些挑战促使人们寻求非侵入性方法来分期肝纤维化。为此,我们使用表面增强激光解吸电离飞行时间质谱(SELDI-TOF MS)比较了 HIV/HCV 合并感染和 HCV 单感染患者不同纤维化阶段的血清蛋白质组谱。
检测了 83 名 HIV/HCV 合并感染和 68 名 HCV 单感染患者的 4 个纤维化阶段的血清。将血清分离,随机应用于蛋白质芯片阵列(IMAC、CM10 和 H50),并在低激光强度和高激光强度下生成光谱。
在合并感染个体中,16 个生物标志物的 p 值<0.01(ROC 值>0.75 或<0.25),可预测纤维化状态;在单感染个体中,有 14 个生物标志物达到了这一标准。其中 5 个候选生物标志物对合并感染和单感染个体均有贡献。创建候选诊断算法,使用 4 个生物标志物峰的组合来区分非纤维化和纤维化个体。
这些数据表明,SELDI MS 分析可以鉴定出 HCV 合并感染和 HCV 单感染患者中常见且独特的纤维化诊断血清生物标志物。