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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)., Competing Interests: Declaration of interests MF Yuen is an advisory board member and/or received research funding from AbbVie, Arbutus Biopharma, Assembly Biosciences, Bristol Myer Squibb, Dicerna Pharmaceuticals, GlaxoSmithKline, Gilead Sciences, Janssen, Merck Sharp and Dohme, Clear B Therapeutics, Springbank Pharmaceuticals; and received research funding from Arrowhead Pharmaceuticals, Fujirebio Incorporation and Sysmex Corporation. WK Seto received speaker's fees from AstraZeneca, is an advisory board member and received speaker's fees from Abbott, received research funding from Pfizer, Alexion Pharmaceuticals, Ribo Life Sciences, and Boehringer Ingelheim, and is an advisory board member, received speaker's fees and researching funding from Gilead Sciences. The remaining authors have no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Mutation and downregulation of FAT atypical cadherin 4 (FAT4) are frequently detected in HCC, suggesting a tumor suppressor role of FAT4. However, the underlying molecular mechanism remains elusive., Methods: CRISPR-Cas9 system was used to knockout FAT4 (FAT4-KO) in a normal human hepatic cell line L02 to investigate the impact of FAT4 loss on the development of HCC. RNA-sequencing and xenograft mouse model were used to study gene expression and tumorigenesis, respectively. The mechanistic basis of FAT4 loss on hepatocarcinogenesis was elucidated using in vitro experiments., Results: We found that FAT4-KO disrupted cell-cell adhesion, induced epithelial-mesenchymal transition, and increased expression of extracellular matrix components. FAT4-KO is sufficient for tumor initiation in a xenograft mouse model. RNA-sequencing of FAT4-KO cells identified PAK6-mediated WNT/β-catenin signaling to promote tumor growth. Suppression of PAK6 led to β-catenin shuttling out of the nucleus for ubiquitin-dependent degradation and constrained tumor growth. Further, RNA-sequencing of amassed FAT4-KO cells identified activation of WNT5A and ROR2. The noncanonical WNT5A/ROR2 signaling has no effect on β-catenin and its target genes (CCND1 and c-Myc) expression. Instead, we observed downregulation of receptors for WNT/β-catenin signaling, suggesting the shifting of β-catenin-dependent to β-catenin-independent pathways as tumor progression depends on its receptor expression. Both PAK6 and WNT5A could induce the expression of extracellular matrix glycoprotein, laminin subunit alpha 4. Laminin subunit alpha 4 upregulation in HCC correlated with poor patient survival., Conclusions: Our data show that FAT4 loss is sufficient to drive HCC development through the switching of canonical to noncanonical Wingless-type signaling pathways. The findings may provide a mechanistic basis for an in-depth study of the two pathways in the early and late stages of HCC for precise treatment., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Association for the Study of Liver Diseases.)

Objective: To validate the proton density fat fraction (PDFF) obtained by the MRQuantif software from 2D chemical shift encoded MR (CSE-MR) data in comparison with the histological steatosis data., Methods: This study, pooling data from 3 prospective studies spread over time between January 2007 and July 2020, analyzed 445 patients who underwent 2D CSE-MR and liver biopsy. MR derived liver iron concentration (MR-LIC) and PDFF was calculated using the MRQuantif software. The histological standard steatosis score (SS) served as reference. In order to get a value more comparable to PDFF, histomorphometry fat fraction (HFF) were centrally determined for 281 patients. Spearman correlation and the Bland and Altman method were used for comparison., Results: Strong correlations were found between PDFF and SS (r s  = 0.84, p < 0.001) or HFF (r s  = 0.87, p < 0.001). Spearman's coefficients increased to 0.88 (n = 324) and 0.94 (n = 202) when selecting only the patients without liver iron overload. The Bland and Altman analysis between PDFF and HFF found a mean bias of 5.4% ± 5.7 [95% CI 4.7, 6.1]. The mean bias was 4.7% ± 3.7 [95% CI 4.2, 5.3] and 7.1% ± 8.8 [95% CI 5.2, 9.0] for the patients without and with liver iron overload, respectively., Conclusion: The PDFF obtained by MRQuantif from a 2D CSE-MR sequence is highly correlated with the steatosis score and very close to the fat fraction estimated by histomorphometry. Liver iron overload reduced the performance of steatosis quantification and joint quantification is recommended. This device-independent method can be particularly useful for multicenter studies., Clinical Relevance Statement: The quantification of liver steatosis using a vendor-neutral 2D chemical-shift MR sequence, processed by MRQuantif, is well correlated to steatosis score and histomorphometric fat fraction obtained from biopsy, whatever the magnetic field and the MR device used., Key Points: • The PDFF measured by MRQuantif from 2D CSE-MR sequence data is highly correlated to hepatic steatosis. • Steatosis quantification performance is reduced in case of significant hepatic iron overload. • This vendor-neutral method may allow consistent estimation of PDFF in multicenter studies., (© 2023. The Author(s), under exclusive licence to European Society of Radiology.)

Non-alcoholic fatty liver disease (NAFLD), the world's most common chronic liver disease, is increasingly linked to gut dysbiosis. Paneth cells secrete antimicrobial peptides that regulate the gut microbiome, but their role in the pathogenesis of NAFLD remains unclear. Here, we determine the changes in NAFLD development and gut microbial composition and function via the injection of dithizone that can pharmacologically deplete the granules of Paneth cells. Eight-week-old C57BL/6J male mice ( n = 31) were given a high-fat diet (HFD) or standard control diet for 12 weeks. Dithizone (10 mg/kg) was intravenously injected every 3 weeks during the period of diet feeding. Metagenomic DNA was extracted from fecal samples for PacBio Single-Molecule Real-Time sequencing to identify changes in microbial composition and predicted function. We observed dithizone-treated HFD mice, when compared to non-treated HFD mice, to have significant reductions in hepatic triglyceride content (28.98 vs. 53.52 mg/g, p = 0.0419); plasma insulin level (2.18 vs. 6.63 ng/ml, p = 0.0079); and relative mRNA levels of fatty acid synthase (0.52 vs. 1.57, p = 0.0428) and stearoyl-CoA desaturase-1 (0.43 vs. 1.20, p = 0.0121). Bacterial taxonomic profiling found dithizone-treated HFD mice, when compared to non-treated HFD mice, had a lower Firmicutes/Bacteroidetes ratio (2.53 vs. 5.26, p = 0.0541); a higher relative abundance of Bacteroides ASV21 and ASV42 (1.04 vs. 0.22%, p = 0.0277 and 0.96 vs. 0.09%, p = 0.0213); and a reduction in microbes belonging to Firmicutes (all p < 0.05). Bacteroides species correlated positively with predicted microbial functions such as L-methionine ( r = 0.54, p = 0.0019) and tetrahydrofolate ( r = 0.52, p = 0.0029) biosynthesis. Collectively, dithizone treatment was associated with alleviation in the severity of liver steatosis in HFD mice, possibly through gut microbiome modulation involving the increase in Bacteroides , suggesting microbiome-targeted therapies may have a role in the treatment of NAFLD., Competing Interests: M-FY is an advisory board member and/or received research funding from AbbVie, Arbutus Biopharma, Assembly Biosciences, Bristol Myers Squibb, Dicerna Pharmaceuticals, GlaxoSmithKline, Gilead Sciences, Janssen, Merck Sharp and Dohme, Clear B Therapeutics, Springbank Pharmaceuticals; and received research funding from Arrowhead Pharmaceuticals, Fujirebio Incorporation, and Sysmex Corporation. W-KS received speaker’s fees from AstraZeneca and Mylan, is an advisory board member of CSL Behring, is an advisory board member and received speaker’s fees from AbbVie, and is an advisory board member, received speaker’s fees and researching funding from Gilead Sciences. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Zhang, Tun, Zhang, Chau, Huang, Kwok, Wong, Mak, Yuen and Seto.)