Publications by authors named "Feng-Yu Sung"

Background: Coexistence of hepatitis B and nonalcoholic fatty liver disease is common; however, little is known about the impact of hepatic steatosis and its major genetic determinants on the natural history of HBV infection. We aimed to study the effects of hepatic steatosis and PNPLA3 variant p.I148M on the risk of hepatocellular carcinoma (HCC) and the lifetime probability of HBsAg seroclearance, which is associated with functional remission and improved long-term outcome of HBV infection.

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Despite considerable knowledge of viral pathogenesis, the pathophysiological changes related to the multifactorial, multistep process of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) development remains unclear. Longitudinal metabolomics study can reveal biological process for disease progression. We performed metabolite profiling with longitudinal prediagnostic plasma samples from two nested case-control studies of hepatitis B surface antigen carriers participating in ultrasound screening for HCC, one within a government employee cohort (870 samples from 109 HCC cases and 107 controls) and the other within a hospital-based cohort (266 samples from 63 HCC cases and 114 controls).

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Unlabelled: To evaluate how hepatitis B virus (HBV) genetic variation affected progression from chronic carrier state to hepatocellular carcinoma (HCC), we analyzed HBV full-length sequences in blood obtained <1-20 years before diagnosis from 117 HCC cases and 118 controls nested in a cohort of 4,841 HBV carriers, for whom HBV genotypes B and C are predominant. The relationship between each viral single-nucleotide polymorphism (SNP) and HCC development was assessed using ordinal logistic models according to five periods of time to diagnosis (TTD). Thirty-one HBV-SNPs showed significant association with TTD after adjustment for HBV genotype, 24 of which could also be analyzed with an extended analysis on the full-length data in conjunction with 512 partial sequences (nucleotides 2,436-1,623) from the cohort.

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Objective: The hepatitis B virus (HBV)-polymerase region overlaps pre-S/S genes with high epitope density and plays an essential role in viral replication. We investigated whether genetic variation in the polymerase region determined long-term dynamics of viral load and the risk of hepatitis B progression in a population-based cohort study.

Methods: We sequenced the HBV-polymerase region using baseline plasma from treatment-naïve individuals with HBV-DNA levels≥1000 copies/mL in a longitudinal viral-load study of participants with chronic HBV infection followed-up for 17 years, and obtained sequences from 575 participants (80% with HBV genotype Ba and 17% with Ce).

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This study aimed to investigate the association of fasting insulin and glucose levels with hepatocellular carcinoma (HCC) risk in a case-cohort study within a cohort (1989-2006) of 2903 male government employees chronically infected with hepatitis B virus (HBV) in Taiwan. Insulin, glucose and HBV-related factors were assayed in baseline plasma among 124 HCC cases and a random subcohort of 1084 of the total cohort. After adjustment for demographics and HBV-related factors, including viral load and genotype, the HCC risk was higher for the highest [>6.

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Background & Aims: We assessed the influence of genetic variants in the hepatitis B virus (HBV) core, which is a principal immunologic target, on the progression to hepatocellular carcinoma (HCC) in a cohort of 4841 male HBV carriers followed up for 16 years.

Methods: First, baseline sera from 116 HCC cases and 154 controls nested within the cohort were used for sequencing of the HBV core gene to screen for variants with effects on HCC progression. By applying a high-throughput assay for detecting viral single nucleotide substitutions, we then used a longitudinal study (n = 1143) to examine whether 2 identified variants that lie in the region within or flanking epitopes affected the natural course of hepatitis B through investigating their relationships with time trends for viral load and clinical features.

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