Virological response to nucleos(t)ide analogues treatment in chronic hepatitis B patients is associated with Bacteroides-dominant gut microbiome

Summary

Background

Gut dysbiosis is present in chronic hepatitis B virus (HBV) infection. In this study, we integrated microbiome and metabolome analysis to investigate the role of gut microbiome in virological response to nucleos(t)ide analogues (NAs) treatment.

Methods

Chronic HBV patients were prospectively recruited for steatosis and fibrosis assessments via liver elastography, with full-length 16S sequencing performed to identify the compositional gut microbiota differences. Fasting plasma bile acids were quantified by liquid chromatography-tandem mass spectrometry.

Findings

All patients (n = 110) were characterized into three distinct microbial clusters by their dominant genus: c-Bacteroides, c-Blautia, and c-Prevotella. Patients with c-Bacteroides had a higher plasma ursodeoxycholic acids (UDCA) level and an increase in 7-alpha-hydroxysteroid dehydrogenase (secondary bile acid biotransformation) than other clusters. In NAs-treated patients (n = 84), c-Bacteroides was associated with higher odds of plasma HBV-DNA undetectability when compared with non-c-Bacteroides clusters (OR 3.49, 95% CI 1.43–8.96, p = 0.01). c-Blautia was positively associated with advanced fibrosis (OR 2.74, 95% CI 1.09–7.31, p = 0.04). No such associations were found in treatment-naïve patients. Increased Escherichia coli relative abundance (0.21% vs. 0.03%, p = 0.035) was found in on-treatment patients (median treatment duration 98.1 months) with advanced fibrosis despite HBV DNA undetectability. An enrichment in l-tryptophan biosynthesis was observed in patients with advanced fibrosis, which exhibited a positive correlation with Escherichia coli.

Interpretation

Collectively, unique bacterial signatures, including c-Bacteroides and c-Blautia, were associated with virological undetectability and fibrosis evolution during NAs therapy in chronic HBV, setting up intriguing possibilities in optimizing HBV treatment.

Funding

This study was supported by the Guangdong Natural Science Fund (2019A1515012003).