Noninvasive diagnosis of liver cirrhosis using DNA sequencer-based total serum protein glycomics

We applied our 'clinical glycomics' technology, based on DNA sequencer/fragment analyzers, to generate profiles of serum protein N-glycans of liver disease patients. This technology yielded a biomarker that distinguished compensated cirrhotic from noncirrhotic chronic liver disease patients, with 79% sensitivity and 86% specificity (100% sensitivity and specificity for decompensated cirrhosis). In combination with the clinical chemistry-based Fibrotest biomarker, compensated cirrhosis was detected with 100% specificity and 75% sensitivity. The current 'gold standard' for liver cirrhosis detection is an invasive, costly, often painful liver biopsy. Consequently, the highly specific set of biomarkers presented could obviate biopsy in many cirrhosis patients. This biomarker combination could eventually be used in follow-up examinations of chronic liver disease patients, to yield a warning that cirrhosis has developed and that the risk of complications (such as hepatocellular carcinoma) has increased considerably. Our clinical glycomics technique can easily be implemented in existing molecular diagnostics laboratories.     

Alpha interferon inhibits hepatitis C virus replication in primary human hepatocytes infected in vitro

Chronic hepatitis C is a common cause of liver disease, the complications of which include cirrhosis and hepatocellular carcinoma. Treatment of chronic hepatitis C is based on the use of alpha interferon (IFN-alpha). Recently, indirect evidence based on mathematical modeling of hepatitis C virus (HCV) dynamics during human IFN-alpha therapy suggested that the major initial effect of IFN-alpha is to block HCV virion production or release. Here, we used primary cultures of healthy, uninfected human hepatocytes to show that: (i) healthy human hepatocytes can be infected in vitro and support HCV genome replication, (ii) hepatocyte treatment with IFN-alpha results in expression of IFN-alpha-induced genes, and (iii) IFN-alpha inhibits HCV replication in infected human hepatocytes. These results show that IFN-alpha acts primarily through its nonspecific antiviral effects and suggest that primary cultures of human hepatocytes may provide a good model to study intrinsic HCV resistance to IFN-alpha.     

Molecular classification of liver cirrhosis in a rat model by proteomics and bioinformatics

Liver cirrhosis is a worldwide health problem. Reliable, noninvasive methods for early detection of liver cirrhosis are not available. Using a three-step approach, we classified sera from rats with liver cirrhosis following different treatment insults. The approach consisted of: (i) protein profiling using surface-enhanced laser desorption/ionization (SELDI) technology; (ii) selection of a statistically significant serum biomarker set using machine learning algorithms; and (iii) identification of selected serum biomarkers by peptide sequencing. We generated serum protein profiles from three groups of rats: (i) normal (n=8), (ii) thioacetamide-induced liver cirrhosis (n=22), and (iii) bile duct ligation-induced liver fibrosis (n=5) using a weak cation exchanger surface. Profiling data were further analyzed by a recursive support vector machine algorithm to select a panel of statistically significant biomarkers for class prediction. Sensitivity and specificity of classification using the selected protein marker set were higher than 92%. A consistently down-regulated 3495 Da protein in cirrhosis samples was one of the selected significant biomarkers. This 3495 Da protein was purified on-chip and trypsin digested. Further structural characterization of this biomarkers candidate was done by using cross-platform matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) peptide mass fingerprinting (PMF) and matrix-assisted laser desorption/ionization time of flight/time of flight (MALDI-TOF/TOF) tandem mass spectrometry (MS/MS). Combined data from PMF and MS/MS spectra of two tryptic peptides suggested that this 3495 Da protein shared homology to a histidine-rich glycoprotein. These results demonstrated a novel approach to discovery of new biomarkers for early detection of liver cirrhosis and classification of liver diseases.     

病毒性肝病抗病毒治疗期间新发肝癌7例临床分析

目的:探讨病毒性肝炎肝硬化患者经抗病毒治疗仍发生原发性肝癌的原因。方法:回顾性分析兰州大学第一医院东岗院区肝病中心在2012年10月-2013年6月收治的7例病毒性肝炎肝硬化患者在规范抗病毒治疗期间新发原发性肝癌的临床资料、抗病毒治疗情况。结果:7例患者中有HBV感染6例,HCV感染1例;慢性肝炎2例,肝硬化5例;HBeAg阴性5例;3例合并糖尿病;经抗病毒治疗后病毒载量均处于低度复制或不可测状态。结论:病毒性肝炎肝硬化患者经抗病毒治疗不能完全消除原发性肝癌发生的风险,病毒载量、HBeAg阴性、糖尿病、肝硬化等可能是肝癌发生的危险因素。     

Natural history of hepatitis C virus infection

Hepatitis C virus (HCV) is a common transmissible agent responsible for a significant proportion of chronic liver disease, cirrhosis and hepatocellular carcinoma worldwide. The natural history of acute HCV infection is characterized by a high rate of progression to persistent infection. The resulting chronic liver disease is dependent upon a delicate balance of host, viral and environmental factors which may significantly influence its clinical outcome.     

Circulating microRNAs associated with liver fibrosis in chronic hepatitis C patients

A major challenge in hepatitis C research is the detection of early potential for progressive liver disease. MicroRNAs (miRNAs) are small RNAs that regulate gene expression and can be biomarkers of pathological processes. In this study, we compared circulating miRNAs identified in hepatitis C virus (HCV)-infected patients presenting two extremes of liver disease: mild/moderate fibrosis and cirrhosis. The patients in the cirrhosis group subsequently developed hepatocellular carcinoma (HCC). We identified 163 mature miRNAs in the mild/moderate fibrosis group and 171 in the cirrhosis group, with 144 in common to both groups. Differential expression analysis revealed 5 upregulated miRNAs and 2 downregulated miRNAs in the cirrhosis group relative to the mild/moderate fibrosis group. Functional analyses of regulatory networks (target gene and miRNA) identified gene categories involved in cell cycle biological processes and metabolic pathways related to cell cycle, cancer, and apoptosis. These results suggest that the differentially expressed circulating miRNAs observed in this work (miR-215-5p, miR-483-5p, miR-193b-3p, miR-34a-5p, miR-885-5p, miR-26b-5p and miR -197-3p) may be candidates for biomarkers in the prognosis of liver disease.     

Is interleukin-10 gene polymorphism a predictive marker in HCV infection?

The clinical outcome of hepatitis C virus (HCV) infection varies between individuals - from spontaneous viral clearance and persistence without complication, to chronic hepatitis, cirrhosis and hepatocellular carcinoma. Also patterns of response to interferon-based anti-HCV therapy are different from person to person. This diversity may be affected by host genetic factors, including alterations in genes encoding cytokines. Interleukin-10, as an anti-inflammatory cytokine and immune response modulator, may influence on HCV infection susceptibility as well as spontaneous and treatment-induced HCV eradication. Moreover, it is stated that IL-10 has antifibrotic properties and play a role in progression of liver disease. This review summarized studies on interleukin-10 gene polymorphisms (mainly promoter SNPs at positions -1082(G/A), -819(C/T) and -592(C/A)), which may determine IL-10 production, regarding susceptibility to HCV infection, course of HCV-related liver disease (fibrosis, cirrhosis, hepatocellular carcinoma, ALT abnormalities), spontaneous viral elimination as well as hepatitis C treatment outcomes. Analysis of hereby summarized studies shows that it is difficult to unambiguously determine the importance of IL-10 polymorphism as a predictor of clinical outcome of hepatitis C and response to anti-HCV therapy before its beginning. Thus, future larger studies need to address these issues. Continuation of studies on interleukin-10 polymorphisms as well as identification of other candidate predictive markers in HCV infection has important practical implications and there is a chance that may contribute to reduce the scale of hepatitis C problem.     

A lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform for identification of multiple liver cancer biomarkers in human plasma

Aberrantly glycosylated proteins related to liver cancer progression were captured with specific lectin and identified from human plasma by multiple reaction monitoring (MRM) mass spectrometry as multiple biomarkers for hepatocellular carcinoma (HCC). The lectin fractionation for fucosylated protein glycoforms in human plasma was conducted with a fucose-specific aleuria aurantia lectin (AAL). Following tryptic digestion of the lectin-captured fraction, plasma samples from 30 control cases (including 10 healthy, 10 hepatitis B virus [HBV], and 10 cirrhosis cases) and 10 HCC cases were quantitatively analyzed by MRM to identify which glycoproteins are viable HCC biomarkers. A1AG1, AACT, A1AT, and CERU were found to be potent biomarkers to differentiate HCC plasma from control plasmas. The AUROC generated independently from these four biomarker candidates ranged from 0.73 to 0.92. However, the lectin-coupled MRM assay with multiple combinations of biomarker candidates is superior statistically to those generated from the individual candidates with AUROC more than 0.95, which can be an alternative to the immunoassay inevitably requiring tedious development of multiple antibodies against biomarker candidates to be verified. Eventually the lectin-coupled, targeted proteomic mass spectrometry (MRM MS) platform was found to be efficient to identify multiple biomarkers from human plasma according to cancer progression.     

Proteomic analysis of hepatitis C virus (HCV) core protein transfection and host regulator PA28γ knockout in HCV pathogenesis: a network-based study

Hepatitis C virus (HCV) causes chronic liver disease worldwide. HCV Core protein (Core) forms the viral capsid and is crucial for HCV pathogenesis and HCV-induced hepatocellular carcinoma, through its interaction with the host factor proteasome activator PA28γ. Here, using BD-PowerBlot high-throughput Western array, we attempt to further investigate HCV pathogenesis by comparing the protein levels in liver samples from Core-transgenic mice with or without the knockout of PA28γ expression (abbreviated PA28γ(-/-)CoreTG and CoreTG, respectively) against the wild-type (WT). The differentially expressed proteins integrated into the human interactome were shown to participate in compact and well-connected cellular networks. Functional analysis of the interaction networks using a newly developed data warehouse system highlighted cellular pathways associated with vesicular transport, immune system, cellular adhesion, and cell growth and death among others that were prominently influenced by Core and PA28γ in HCV infection. Follow-up assays with in vitro HCV cell culture systems validated VTI1A, a vesicular transport associated factor, which was upregulated in CoreTG but not in PA28γ(-/-)CoreTG, as a novel regulator of HCV release but not replication. Our analysis provided novel insights into the Core-PA28γ interplay in HCV pathogenesis and identified potential targets for better anti-HCV therapy and potentially novel biomarkers of HCV infection.     

蛋白激酶底物p36在肝硬变、肝细胞肝癌中的表达及与HBV、HCV感染的关系

本文应用鼠抗蛋白激酶底物ｐ３６单克隆抗体,采用免疫组织化学法对ｐ３６在５４例肝硬变,７９例肝细胞肝癌中的表达分布进行了研究,同时结合ＨＢＶ、ＨＣＶ感染情况分析其相互关系,结果显示：ｐ３６在肝硬变及肝细胞肝癌中定位于肝细胞或癌细胞胞浆内,在胞浆内弥漫分布,阳性细胞呈灶状或弥漫分布,部分病例癌周肝细胞信号较癌组织为强,ｐ３６在肝硬变、肝细胞癌中的阳性率分别为８８．８％（４８／５４）及８２．３（６５／７９）,ＨＢｘＡｇ在两种组织的阳性率分别为７０．４％及７６％,ＨＣＶ核心抗原在两种组织的阳性率分别为８０％及７８．５％;三者同时阳性分别为５５．５％及５８．２％;ｐ３６、ＨＢｘＡｇ同时阳性分别为６８．５％及６４．５％;ｐ３６、核心抗原同时阳性分别为７４．１％及７０．８％,我们的结果提示,肝硬变、肝细胞肝癌组织中ｐ３６存在高表达,其高表达可能与ＨＢＶ、ＨＣＶ感染密切相关     

Spike‐in SILAC proteomic approach reveals the vitronectin as an early molecular signature of liver fibrosis in hepatitis C infections with hepatic iron overload

Hepatitis C virus (HCV)‐induced iron overload has been shown to promote liver fibrosis, steatosis, and hepatocellular carcinoma. The zonal‐restricted histological distribution of pathological iron deposits has hampered the attempt to perform large‐scale in vivo molecular investigations on the comorbidity between iron and HCV. Diagnostic and prognostic markers are not yet available to assess iron overload‐induced liver fibrogenesis and progression in HCV infections. Here, by means of Spike‐in SILAC proteomic approach, we first unveiled a specific membrane protein expression signature of HCV cell cultures in the presence of iron overload. Computational analysis of proteomic dataset highlighted the hepatocytic vitronectin expression as the most promising specific biomarker for iron‐associated fibrogenesis in HCV infections. Next, the robustness of our in vitro findings was challenged in human liver biopsies by immunohistochemistry and yielded two major results: (i) hepatocytic vitronectin expression is associated to liver fibrogenesis in HCV‐infected patients with iron overload; (ii) hepatic vitronectin expression was found to discriminate also the transition between mild to moderate fibrosis in HCV‐infected patients without iron overload.     

Specific gene expression patterns in liver cirrhosis

Liver cirrhosis (LC) is a complex disease that can develop into hepatocellular carcinoma (HCC). In an effort to investigate genetic differences between LC and HCC, we used cDNA microarray analysis to characterize the gene expression profiles in LC and HCC tissues. Consistent differences were observed among the expression patterns in LC, HCC, and normal liver tissues. Interestingly, the expression patterns of LC without tumor association (LCT) were also readily distinguished from those of LC tissues near hepatic tumor tissues (near-tumor tissue, NTT). Moreover, 25 cirrhosis-specific genes could be used to divide the NTT samples into two groups: inflammatory active cirrhosis (NTTa) and inflammatory inactive cirrhosis (NTTi). We found that NTTa samples showed gene expression patterns similar to those of the LCT and HCC groups, whereas the expression patterns of the NTTi group were significantly different from those of the LCT, NTTa, and HCC groups. Finally, we selected two of the 25 LC-specific genes and showed that these markers could be used to successfully discriminate among the different LC subtypes. Collectively, these novel results allow the identification of new genetic subgroups of LC and provide new candidate genes for use as early markers for active cirrhosis and HCC.     

Dysfunction of autophagy participates in vacuole formation and cell death in cells replicating hepatitis C virus

Hepatitis C virus (HCV) is a major cause of chronic liver diseases. A high risk of chronicity is the major concern of HCV infection, since chronic HCV infection often leads to liver cirrhosis and hepatocellular carcinoma. Infection with the HCV genotype 1 in particular is considered a clinical risk factor for the development of hepatocellular carcinoma, although the molecular mechanisms of the pathogenesis are largely unknown. Autophagy is involved in the degradation of cellular organelles and the elimination of invasive microorganisms. In addition, disruption of autophagy often leads to several protein deposition diseases. Although recent reports suggest that HCV exploits the autophagy pathway for viral propagation, the biological significance of the autophagy to the life cycle of HCV is still uncertain. Here, we show that replication of HCV RNA induces autophagy to inhibit cell death. Cells harboring an HCV replicon RNA of genotype 1b strain Con1 but not of genotype 2a strain JFH1 exhibited an incomplete acidification of the autolysosome due to a lysosomal defect, leading to the enhanced secretion of immature cathepsin B. The suppression of autophagy in the Con1 HCV replicon cells induced severe cytoplasmic vacuolation and cell death. These results suggest that HCV harnesses autophagy to circumvent the harmful vacuole formation and to maintain a persistent infection. These findings reveal a unique survival strategy of HCV and provide new insights into the genotype-specific pathogenicity of HCV.     

Codon usage of human hepatitis C virus clearance genes in relation to its expression

Hepatitis C virus (HCV) infection is among the leading causes of hepatocellular carcinoma and liver cirrhosis globally, with a high economic burden. The disease progression is well established, but less is known about the spontaneous HCV infection clearance. This study tries to establish the relationship between codon biasness and expression of HCV clearance candidate genes in normal and HCV infected liver tissues. A total of 112 coding sequences comprising 151 679 codons were subjected to the computation of codon indices, namely relative synonymous codon usage, an effective number of codon (Nc), frequency of optimal codon, codon adaptation index, codon bias index, and base compositions. Codon indices report of GC3s, GC12, hydropathicity, and aromaticity implicates both mutational and translational selection in the candidate gene set. This was further correlated with the differentially expressed genes among the selected genes using BioGPS. A significant correlation is observed between the gene expression of normal liver and cancerous liver tissues with codon bias (Nc). Gene expression is also correlated with relative codon bias values, indicating that CCL5, APOA2, CD28, IFITM1, and TNFSF4 genes have higher expression. These results are quite encouraging in selecting the high responsive genes in HCV clearance. However, there could be additional genes which could also orchestrate the clearance role with the above mentioned first line of defensive genes.     

Combined Serum Biomarkers in Non-Invasive Diagnosis of Non-Alcoholic Steatohepatitis

Background

Non-alcoholic steatoheaptitis (NASH), the critical stage of non-alcoholic fatty liver disease (NAFLD), is of chronic progression and can develop cirrhosis even hepatocellular carcinoma (HCC). However, non-invasive biomarkers for NASH diagnosis remain poorly applied in clinical practice. Our study aims at testing the accuracy of the combination of cytokeratin-18 M30 fragment (CK-18-M30), fibroblast growth factor 21 (FGF-21), interleukin 1 receptor antagonist (IL-1Ra), pigment epithelium-derived factor (PEDF) and osteoprotegerin (OPG) in diagnosing NAFLD and NASH.

Methods

179 patients with biopsy-proven NAFLD were enrolled as training group, 91 age- and gender-matched healthy subjects were recruited at the same time as controls. 63 other NAFLD patients were separately collected as validation group. 45 alcoholic fatty liver disease (AFLD) patients, 50 hepatitis B virus (HBV) patients, 52 hepatitis C virus (HCV) patients were also included. Serum biomarker levels were measured by enzyme-linked immunosorbent assay.

Results

Serum levels of CK-18-M30, FGF-21, IL-1Ra and PEDF increased, while OPG decreased in a stepwise fashion in controls, non-NASH NAFLD patients and NASH patients (P < 0.01). The area under receiver-operating characteristics curve to diagnose NASH was 0.86 for CK-18-M30, 0.89 for FGF-21, 0.89 for IL-1Ra, 0.89 for PEDF and 0.89 for OPG. CK-18-M30 had 70% negative predictive value (NPV) and 79% positive predictive value (PPV) to diagnose NASH. A 5-step approach measuring CK-18-M30 followed by FGF21, IL-1Ra, PEDF and OPG gradually improved the NPV to 76% and PPV to 85%, which reached 80% and 76% respectively in the validation cohort.

Conclusion

Compared to single biomarker, stepwise combination of CK-18-M30, FGF-21, IL-1Ra, PEDF and OPG can further improve the accuracy in diagnosing NASH.     

Cancer-associated carbohydrate antigens as potential biomarkers for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is one of the most common human malignancies. Therefore, developing the early, high-sensitivity diagnostic biomarkers to prevent HCC is urgently needed. Serum a-fetoprotein (AFP), the clinical biomarker in current use, is elevated in only ~60% of patients with HCC; therefore, identification of additional biomarkers is expected to have a significant impact on public health. In this study, we used glycan microarray analysis to explore the potential diagnostic value of several cancer-associated carbohydrate antigens (CACAs) as biomarkers for HCC. We used glycan microarray analysis with 58 different glycan analogs for quantitative comparison of 593 human serum samples (293 HCC samples; 133 chronic hepatitis B virus (HBV) infection samples, 134 chronic hepatitis C virus (HCV) infection samples, and 33 healthy donor samples) to explore the diagnostic possibility of serum antibody changes as biomarkers for HCC. Serum concentrations of anti-disialosyl galactosyl globoside (DSGG), anti-fucosyl GM1 and anti-Gb2 were significantly higher in patients with HCC than in chronic HBV infection individuals not in chronic HCV infection patients. Overall, in our study population, the biomarker candidates DSGG, fucosyl GM1 and Gb2 of CACAs achieved better predictive sensitivity than AFP. We identified potential biomarkers suitable for early detection of HCC. Glycan microarray analysis provides a powerful tool for high-sensitivity and high-throughput detection of serum antibodies against CACAs, which may be valuable serum biomarkers for the early detection of persons at high risk for HCC.     

Hepatocellular carcinoma in Japan and its linkage to infection with hepatitis C virus

Hepatitis B and C viruses are closely related to the development of liver cirrhosis and hepatocellular carcinoma. Recently these two viral agents were found to be the major causative agents of hepatocellular carcinoma in Japan. An increase in the number of HCV antibody-positive patients, but a decrease in the number of HBs antigen-positive patients with hepato cellular carcinoma has been noted over the last 15 years. In the late 1980s about 70% of the patients with hepatocellular carcinoma were found to be positive for HCV antibody and 24% for HBs antigen. Presence of several subtypes of HCV was reported. Hypervariable region (HVR) in a putative envelope, gp70, was detected within the same subtype. Variability of HVR seemed to be the result of spontaneous mutation caused after infection. Such changes with time in the sequence of the HCV genome in the blood of patients with type C hepatitis are likely to be due to immunological surveillance by the host.     

MicroRNA in HCV infection and liver cancer

In the more than two-decades since hepatitis C virus (HCV) was identified, there has been considerable improvement in our understanding of virus life cycle due largely to the development of in vitro culture systems for virus replication. Still challenges remain: HCV infection is a major risk factor for chronic hepatitis, liver cirrhosis and hepatocellular carcinoma worldwide; yet mechanistic details of HCV infection-associated hepatocarcinogenesis remain incompletely understood. A protective vaccine is not yet available, and current therapeutic options result in sustained virus clearance only in a subset of patients. Recent interest has focused on small non-protein coding RNAs, microRNAs (miRNAs), the dependence of virus replication on miRNAs, and miRNA-regulated genes in liver cancer. Functional analysis of the miRNA-targeted genes in liver cancer has advanced our understanding of the "oncomiRs" and their role in hepatocarcinogenesis. This review focuses on the dependence of HCV replication on miRNA and role of miRNA-targeted tumor suppressor genes as molecular markers of and possible targets for developing oncomiR-targeted therapy of chronic hepatitis and HCC. This article is part of a Special Issue entitled: MicroRNAs in viral gene regulation.     

Hepatitis C virus core protein: Its coordinate roles with PA28γ in metabolic abnormality and carcinogenicity in the liver

Hepatitis C virus (HCV) is a major cause of chronic liver diseases, including steatosis, cirrhosis and hepatocellular carcinoma, and epidemiological studies indicate that HCV is also associated with insulin resistance and type 2 diabetes mellitus. The HCV core protein is not only a viral structural component but also a pathogenic factor, since its expression leads to the development of liver steatosis, insulin resistance and hepatocellular carcinoma in mice. The nuclear proteasome activator PA28γ/REGγ, which specifically binds to the core protein, is required for the virulence of the core protein. Elucidation of the mechanisms by which HCV core protein participates in the above conditions may provide clues toward the development of novel therapeutic measures for chronic hepatitis C.