Role of antiviral therapy in the natural history of hepatitis B virus-related chronic liver disease

Soluble Programmed Cell Death 1 Protein Is a Promising Biomarker to Predict Severe Liver Inflammation in Chronic Hepatitis B Patients

Background and Aims: Liver inflammation is important in guiding the initiation of antiviral treatment and affects the progression of chronic hepatitis B(CHB). The soluble programmed cell death 1 protein (sPD-1) was upregulated in inflammatory and infectious diseases and correlated with disease severity. We aimed to investigate the correlation between serum sPD-1 levels and liver inflammation in CHB patients and their role in indicating liver inflammation. Methods: 241 CHB patients who underwent liver biopsy were enrolled. The correlation between sPD-1 levels and the degree of liver inflammation was analyzed. Univariate and multivariate logistic regression analyses were performed to analyze independent variables of severe liver inflammation. Binary logistic regression analysis was conducted to construct a predictive model for severe liver inflammation, and the receiver operating characteristic curve (ROC) was used to evaluate the diagnostic accuracy of the predictive model. Results: sPD-1 was highest in CHB patients with severe liver inflammation, which was higher than that in CHB patients with mild or moderate liver inflammation (P < 0.001). Besides, sPD-1 was weakly correlated with AST (r = 0.278, P < 0.001). Multivariable analysis showed that sPD-1 was an independent predictor of severe liver inflammation. The predictive model containing sPD-1 had areas under the ROC (AUROCs) of 0.917 and 0.921 in predicting severe liver inflammation in CHB patients and CHB patients with ALT ≤ 1× upper limit of normal (ULN), respectively. Conclusions: Serum sPD-1 level is associated with liver inflammation in CHB patients, and high levels of sPD-1 reflect severe liver inflammation. Serum sPD-1 is an independent predictor of severe liver inflammation and shows improved diagnostic accuracy when combined with other clinical indicators.

Establishment of a hydrodynamic delivery system in ducks

Chronic hepatitis B virus (HBV) poses a significant global health challenge as it can lead to acute or chronic liver disease and hepatocellular carcinoma (HCC). To establish a safety experimental model, a homolog of HBV-duck HBV (DHBV) is often used for HBV research. Hydrodynamic-based gene delivery (HGD) is an efficient method to introduce exogenous genes into the liver, making it suitable for basic research. In this study, a duck HGD system was first constructed by injecting the reporter plasmid pLIVE-SEAP via the ankle vein. The highest expression of SEAP occurred when ducks were injected with 5 µg/mL plasmid pLIVE-SEAP in 10% bodyweight volume of physiological saline for 6 s. To verify the distribution and expression of exogenous genes in multiple tissues, the relative level of foreign gene DNA and β-galactosidase staining of LacZ were evaluated, which showed the plasmids and their products were located mainly in the liver. Additionally, β-galactosidase staining and fluorescence imaging indicated the delivered exogenous genes could be expressed in a short time. Further, the application of the duck HGD model on DHBV treatment was investigated by transferring representative anti-HBV genes IFNα and IFNγ into DHBV-infected ducks. Delivery of plasmids expressing IFNα and IFNγ inhibited DHBV infection and we established a novel efficient HGD method in ducks, which could be useful for drug screening of new genes, mRNAs and proteins for anti-HBV treatment.

A machine learning model for predicting hepatocellular carcinoma risk in patients with chronic hepatitis B

BACKGROUND

Machine learning (ML) algorithms can be used to overcome the prognostic performance limitations of conventional hepatocellular carcinoma (HCC) risk models. We established and validated an ML-based HCC predictive model optimized for patients with chronic hepatitis B (CHB) infections receiving antiviral therapy (AVT).

METHODS

Treatment-naïve CHB patients who were started entecavir (ETV) or tenofovir disoproxil fumarate (TDF) were enrolled. We used a training cohort (n = 960) to develop a novel ML model that predicted HCC development within 5 years and validated the model using an independent external cohort (n = 1937). ML algorithms consider all potential interactions and do not use predefined hypotheses.

RESULTS

The mean age of the patients in the training cohort was 48 years, and most patients (68.9%) were men. During the median 59.3 (interquartile range 45.8-72.3) months of follow-up, 69 (7.2%) patients developed HCC. Our ML-based HCC risk prediction model had an area under the receiver-operating characteristic curve (AUC) of 0.900, which was better than the AUCs of CAMD (0.778) and REAL B (0.772) (both p < .05). The better performance of our model was maintained (AUC = 0.872 vs. 0.788 for CAMD and 0.801 for REAL B) in the validation cohort. Using cut-off probabilities of 0.3 and 0.5, the cumulative incidence of HCC development differed significantly among the three risk groups (p < .001).

CONCLUSIONS

Our new ML model performed better than models in terms of predicting the risk of HCC development in CHB patients receiving AVT.

Transcriptomic Analysis of Hepatitis B Infected Liver for Prediction of Hepatocellular Carcinoma

Hepatocellular cancer (HCC) is a leading cause of cancer-related mortality worldwide, and chronic hepatitis B virus infection (CHB) has been a major risk factor for HCC development. The pathogenesis of HBV-related HCC has been a major focus revealing the interplay of a multitude of intracellular signaling pathways, yet the precise mechanisms and their implementations to clinical practice remain to be elucidated. This study utilizes publicly available transcriptomic data from the livers of CHB patients in order to identify a population with a higher risk of malignant transformation. We report the identification of a novel list of genes (PCM1) which can generate clear transcriptomic sub-groups among HBV-infected livers. PCM1 includes genes related to cell cycle activity and liver cancer development. In addition, markers of inflammation, M1 macrophages and gamma delta T cell infiltration are present within the signature. Genes within PCM1 are also able to differentiate HCC from normal liver, and some genes within the signature are associated with poor prognosis of HCC at the mRNA level. The analysis of the immunohistochemical stainings validated that proteins coded by a group of PCM1 genes were overexpressed in liver cancer, while minimal or no expression was detected in normal liver. Altogether, our findings suggest that PCM1 can be developed into a clinically applicable method to identify CHB patients with a higher risk of HCC development.

Serum qAnti-HBc combined with ALT and HBsAg predicts significant hepatic inflammation in HBeAg-positive immune active patients

BACKGROUND AND AIM

Quantitative hepatitis B core antibody (qAnti-HBc) level has been reported to predict significant liver inflammation in treatment-naïve chronic hepatitis B patients. However, little evidence has been revealed that qAnti-HBc alone or with other serum parameters in predicting moderate to severe hepatic inflammation in HBeAg-positive immune active patients treated with entecavir (ETV).

METHODS

A total of 142 patients with HBeAg-positive immune active hepatitis were recruited in our study. Serum liver biochemistry, qAnti-HBc, hepatitis B virus markers, and liver inflammation were evaluated during 48-week ETV treatment. The association between liver inflammation grades and serum markers was systematically analyzed.

RESULTS

The patients with moderate to severe inflammation (≥ G2) had a significantly higher level of qAnti-HBc compared with those with no to mild liver inflammation patients (< G2). The levels of qAnti-HBc and alanine transaminase (ALT) were positively correlated with hepatic inflammation grades, and qAnti-HBc had a better correlation than ALT, whereas HBsAg was negatively correlated with hepatic inflammation grades before treatment. After 48-week ETV treatment, no correlation was observed between hepatic inflammation grades and qAnti-HBc, ALT, or HBsAg. The combination of qAnti-HBc, ALT, and HBsAg had better performance in predicting significant liver inflammation (≥ G2) than qAnti-HBc alone or its combination with ALT.

CONCLUSION

Serum qAnti-HBc levels were positively correlated with hepatic inflammation grades before treatment, but no positive correlation between them was observed after 48-week treatment. The level of qAnti-HBc combined with ALT and HBsAg may serve as a more reliable marker for identifying significant liver inflammation before treatment in HBeAg-positive immune active patients.

Thyroid dysfunction is associated with the loss of hepatitis B surface antigen in patients with chronic hepatitis B undergoing treatment with α-interferon

Objective

To investigate the influence of thyroid dysfunction on the antiviral efficacy of α-interferon in adult patients with chronic hepatitis B (CHB).

Methods

We performed a retrospective study of 342 patients with CHB who underwent interferon treatment for >12 weeks. Patients with thyroid dysfunction before or during treatment were defined as the thyroid dysfunction group (n = 141) and those with normal thyroid function were defined as the normal thyroid function group (n = 201). The prevalences of hepatitis B virus (HBV) DNA undetectability, low hepatitis B surface antigen (HBsAg) titre (<250 IU/mL), HBsAg loss, and hepatitis B envelope antigen loss were compared.

Results

During interferon treatment, 69 of 270 (25.6%) participants with normal thyroid function at baseline developed thyroid dysfunction, whereas 11 of 72 (15.3%) with thyroid dysfunction at baseline regained normal thyroid function. The thyroid dysfunction group had significantly higher prevalences of low HBsAg titre (29.8% vs. 18.9%) and HBV DNA undetectability (66.0% vs. 40.3%). Multivariate logistic regression analysis showed that thyroid dysfunction was associated with HBsAg loss (odds ratio 4.945, 95% confidence interval 1.325–18.462).

Conclusions

These results suggest that thyroid dysfunction is not an absolute contraindication, but is associated with HBsAg loss, in patients with CHB undergoing α-interferon treatment.

Validation of risk prediction scores for hepatocellular carcinoma in patients with chronic hepatitis B treated with entecavir or tenofovir

Several prediction scores for the early detection of hepatocellular carcinoma (HCC) are available. We validated the predictive accuracy of age, albumin, sex, liver cirrhosis (AASL), RESCUE-B, PAGE-B and modified PAGE-B (mPAGE-B) scores in chronic hepatitis B (CHB) patients treated with entecavir (ETV) or tenofovir disoproxil fumarate (TDF). Between 2007 and 2014, 3171 patients were recruited (1645, ETV; 1517, TDF). The predictive accuracy of each prediction score was assessed. The mean age of the study population (1977 men; 1194 women) was 48.8 years. Liver cirrhosis was present in 1040 (32.8%) patients. During follow-up (median, 58.2 months), 280 (8.8%) patients developed HCC; these patients were significantly older; more likely to be male; had significantly higher proportions of liver cirrhosis, hypertension and diabetes; and had significantly higher values for the four risk scores than those who did not develop HCC (all P < .05). Older age (hazard ratio [HR] = 1.048), male sex (HR = 2.142), liver cirrhosis (HR = 3.144) and prolonged prothrombin time (HR = 2.589) were independently associated with an increased risk of HCC (all P < .05), whereas a higher platelet count (HR = 0.996) was independently associated with a decreased risk of HCC (P < .05). The predictive accuracy of AASL score was the highest for 3- and 5-year HCC predictions (areas under the curve [AUCs] = 0.818 and 0.816, respectively), followed by RESCUE-B, PAGE-B and mPAGE-B scores (AUC = 0.780-0.815 and 0.769-0.814, respectively). In conclusion, four HCC prediction scores were assessed in Korean CHB patients treated with ETV or TDF. The AASL score showed the highest predictive accuracy.

Single Nucleotide Polymorphisms in IFN-γ Signaling Pathway Associated with Risk of Hepatitis B Virus Infection in Chinese Children

Hepatitis B virus (HBV) infection is a challenging public health problem in China and worldwide. Mother-to-child transmission is one of the main transmission routes of HBV in highly endemic regions. However, the mechanisms of HBV perinatal transmission in children have not been clearly defined. The aim of this study was to demonstrate the association between single-nucleotide polymorphisms (SNPs) in IFN-γ signaling pathway and HBV infection or breakthrough infection in children. Two hundred and seventy-four HBV-infected children defined as test positive for hepatitis B surface antigen (HBsAg) and 353 controls defined as negative for HBsAg in China were recruited from October 2013 to May 2015. SNPs in IFN-γ signaling pathway including IFNG, IFNGR1, IFNGR2, and IL12B were genotyped. Rs2234711 in IFNGR1 was significantly associated with HBV infection in children (OR = 0.641, 95% CI: 0.450–0.913). In addition, rs2234711 was also significantly associated with HBV breakthrough infection in children born to HBsAg-positive mothers (OR = 0.452, 95% CI: 0.205–0.998). Our study confirmed that genetic variants in IFN-γ signaling pathway have significant associations with HBV infection, especially with HBV breakthrough in children. This study provides insight into HBV infection in children and could be used to help design effective strategies for reducing immunoprophylaxis failure.

A novel diagnostic algorithm to predict significant liver inflammation in chronic hepatitis B virus infection patients with detectable HBV DNA and persistently normal alanine transaminase

Significant liver inflammation might be found in 20-34% of chronic hepatitis B virus (HBV) infection patients with detectable HBV DNA and persistently normal alanine transaminase (ALT) (PNALT). We aimed to develop a diagnostic algorithm to predict significant liver inflammation in these specific patients. Using liver biopsy as the gold standard, we developed a novel, simple diagnostic algorithm to predict significant liver inflammation in a training set of 365 chronic HBV infection patients with detectable HBV DNA and PNALT, and validated the diagnostic accuracy in a validation set of 164 similar patients. The novel algorithm (AAGP) attributed to age, ALT, gamma-glutamyl transpeptidase (GGT), and platelet count was developed. In the training set, the area under the receiver operating characteristic curve (AUROC) of AAGP was higher than that of ALT and aspartate transaminase (AST), to diagnose significant liver inflammation (0.77, 0.67, and 0.59, respectively, p < 0.001). In the validation set, the AUROC of AAGP was also higher than ALT and AST (0.75, 0.61, and 0.54, respectively, p < 0.001). Using AAGP ≥2, the sensitivity and negative predictive value (NPV) was 91% and 93%, respectively, to diagnose significant liver inflammation. Using AAGP ≥8, the specificity and NPV was 91% and 86%, respectively, for significant liver inflammation. In conclusion, the AAGP algorithm is a novel, simple, user-friendly algorithm for the diagnosis of significant liver inflammation in chronic HBV infection patients with detectable HBV DNA and PNALT.

Effects of Treatment of Chronic Hepatitis B Virus Infection on Patient-Reported Outcomes

BACKGROUND & AIMS

Chronic infection with hepatitis B virus (HBV) causes liver disease and cirrhosis. It is not clear how treatment of chronic HBV infection affects patient-reported outcomes (PROs). We aimed to assess changes in PROs in patients treated for chronic HBV infection.

METHODS

We collected and analyzed PRO data from 242 patients with chronic HBV infection (without advanced fibrosis or cirrhosis) enrolled in 2 international phase 2 blinded controlled clinical trials from 2015 through 2017. In these trials, patients were treated with an approved oral antiviral regimen (tenofovir, entecavir, adefovir, lamivudine, or telbivudine) and then randomly assigned to groups given vesatolimod (an oral agonist of Toll-like receptor 7) or placebo. PROs were collected using the Short Form-36, the Chronic Liver Disease Questionnaire, and the Work Productivity and Activity Impairment: Specific Health Problem questionnaires before treatment and during treatment weeks 12, 24, and 48.

RESULTS

We did not observe significant differences in PROs between patients receiving vesatolimod vs placebo. At baseline, patients with viral suppression (HBV DNA level, <20 IU/mL) had higher PRO scores (by up to +10.6% of a PRO range size). During treatment, there were significant increases in scores for some domains of the Chronic Liver Disease Questionnaire and in General Health scores of Short Form-36 (increases of up to 4.9%; P < .05). Patients with a decrease of at least 2.7 log₁₀ IU/mL in level of HBV DNA had substantially larger increases in PRO scores (P < .05 for 10 of 22 studied PROs). In multivariate analysis, a reduction in viral load was independently associated with increases in PROs (β values up to 1.6% per log₁₀ IU/mL decrease; P < .05).

CONCLUSIONS

In an analysis of data from phase 2 trials, we associated active treatment of chronic HBV infection with increased PRO scores. These findings support inclusion of PRO end points in assessments of efficacy and safety in clinical trials of treatments for HBV infection.

Retrospective analysis of hepatitis B virus chronic infection in 247 patients: clinical stages, response to treatment and poor prognostic factors

Background

Chronic hepatitis B is a major cause of cirrhosis, and the natural history of the disease has several clinical stages that should be thoroughly understood for the implementation of proper treatment. Nonetheless, curing the disease with antiviral treatment remains a challenge.

Aims

To describe the clinical course, response to treatment, and poor prognostic factors in 247 hepatitis B virus chronic infection patients treated in a tertiary hospital in Brazil.

Methods

This was a retrospective and observational study, by analyzing the medical records of HBV infected patients between January 2000 and January 2015.

Results

Most patients were male (67.2%) and 74.1% were HBeAg negative. Approximately 41% had cirrhosis and 8.5% were hepatitis C virus coinfected. The viral load was negative after two years on lamivudine, entecavir and tenofovir in 86%, 90.6%, and 92.9% of the patients, respectively. The five-year resistance rates for lamivudine, adefovir, entecavir, and tenofovir were 57.5%, 51.8%, 1.9%, and 0%, respectively. The overall seroconversion rates were 31.2% for HBeAg and 9.4% for HBsAg. Hepatocellular carcinoma was diagnosed in 9.7% of patients, liver transplantation was performed in 9.7%, and overall mortality was 10.5%. Elevations of serum alanine aminotransferase (p = 0.0059) and viral load (p < 0.0001) were associated with progression to liver cirrhosis. High viral load was associated with progression to hepatocellular carcinoma (p < 0.0001). Significant risk factors associated with death were elevated alanine aminotransferase (p = 0.0039), liver cirrhosis (p < 0.0001), high viral load (p = 0.007), and hepatocellular carcinoma (p = 0.0008). HBeAg positive status was not associated with worse outcomes, and treatment may have been largely responsible.

Conclusions

Elevations of viral load and serum alanine aminotransferase may select patients with worse prognosis, especially progression to cirrhosis and hepatocellular carcinoma, which were strongly association with death.

Development of algorithms based on serum markers and transient elastography for detecting significant fibrosis and cirrhosis in chronic hepatitis B patients: Significant reduction in liver biopsy

AIM

To develop algorithms for detecting significant fibrosis and cirrhosis in chronic hepatitis B (CHB) patients with the aim of reducing unwarranted liver biopsy.

METHODS

For 307 CHB patients, the aspartate aminotransferase-to-platelet ratio index (APRI), the fibrosis index based on four factors (FIB-4), and the result of transient elastography with FibroScan (FS) were obtained when a liver biopsy was carried out. All patients were classified based on APRI or FIB-4 score and further assessed by FS results. Patients who remained unclassified after two steps of evaluation were considered to need liver biopsy.

RESULTS

Algorithm implementation found that APRI + FS significantly lowered the requirement for liver biopsy for the detection of significant fibrosis compared to either individual APRI or FS screening (65.1% vs 75.9% or 78.5%, P = 0.003 or <0.001, respectively). The combination of FIB-4 + FS significantly reduced the need for liver biopsy compared to single FIB-4 or FS (58.3% vs 67.4% or 78.5%, P = 0.019 or <0.001, respectively). The FIB-4 + FS algorithm also reduced the need for liver biopsy for detection of significant fibrosis in patients ≥50 years old compared to APRI + FS (22.6% vs 56.5%, P < 0.001), with a relatively lower accuracy (83.9% vs 98.4%, P = 0.004). Only 3.6% or 1.3% of patients needed liver biopsy for diagnosis of cirrhosis after screening with APRI + FS or FIB-4 + FS, respectively.

CONCLUSION

The APRI + FS and FIB-4 + FS algorithms could significantly reduce the need for liver biopsy with high accuracy, sensitivity, and positive predictive value for diagnosis of significant fibrosis and cirrhosis in CHB patients.

The Management of Hepatitis B in Liver Transplant Recipients

Liver transplant (LT) is now an established indication for patients with chronic hepatitis B, mainly because of the development and use of hepatitis B immunoglobulin (HBIG) and oral antivirals for prophylaxis. The combination of low-dose HBIG and antivirals has been considered the standard prophylaxis regimen to prevent post-LT recurrence of hepatitis B. The important remaining issues are related to the long-term cost of HBIG and the risk of escape hepatitis B virus (HBV) mutants. Strategies for prevention of HBV after LT are constantly improving. With the availability of new nucleoside/nucleotide analogues, new post-LT strategies also should emerge.

Host Genetic Variants in HLA Loci Influence Risk for Hepatitis B Virus Infection in Children

BACKGROUND

Hepatitis B virus (HBV) infection is a serious public health problem in China and worldwide. Mother-to-child transmission is one of HBV's main transmission routes in highly endemic regions. Genome-wide association studies (GWAS) identify single nucleotide polymorphisms (SNPs) at HLA loci as associated with HBV infection. However, the mechanisms of HBV perinatal transmission and breakthrough in children have not yet been clearly defined.

OBJECTIVES

We aimed to explore the association between SNPs at HLA loci and HBV infection and breakthrough in children.

METHODS

A total of 274 HBV-infected children and 353 controls were selected among children aged between 6 months and 12 years in China. Seven SNPs at HLA-DP and HLA-DQ loci were genotyped to analyze their association with HBV infection in children.

RESULTS

Alleles G in both HLA-DPA1 rs3077 and HLA-DPB1 rs9277535 were found to be significantly associated with HBV infection in children with odds ratios (OR) of 1.309 (95% CI 1.046 to 1.639) and 1.411 (95% CI 1.125 to 1.771), respectively. In addition, overdominant analysis found that the rs2281388 (HLA-DPB1) GA genotype and the rs9366816 (HLA-DPB2) TC genotype were related to HBV infection (rs2281388, OR = 1.422, 95% CI: 1.032-1.961; rs9366816, OR = 1.444, 95% CI: 1.045-1.994). Furthermore, this study highlighted that rs9277535 was also significantly associated with HBV breakthrough infection in children whose mothers were positive for hepatitis B surface antigen (HBsAg).

CONCLUSIONS

Our study confirmed that genetic variants in HLA-DPA1 and HLA-DPB1 loci have significant associations with HBV infection, especially with HBV breakthrough in children. This study provides insight into HBV infection in children and is valuable for the targeted management of, and control strategies for, this disease.