RESUMEN
Background: Hepatitis B virus-related hepatocellular carcinoma (B-HCC) negatively affects the gut microbiome. This study aimed to investigate the gut microbiome profiles and functions post-hepatectomy liver failure (PHLF) after extended hepatectomy (e-PHLF) to obtain valuable insights, identify potential diagnostic biomarkers, and assist in the treatment of this disease. Methods: B-HCC patients who underwent extended hepatectomy were consecutively recruited and divided into Group A (n=15) and Group B (n=15) based on the presence and absence of e-PHLF, respectively. The relationships between gut microbiota and extended hepatectomy liver failure were explored using 16S ribosomal RNA (16S rRNA) gene sequencing data. Results: Following extended hepatectomy, the α-diversity of Group A was significantly higher than that of Group B (Shannon P=0.034 or Simpson P=0.031), and the ß-diversity differed significantly between Groups A and B (P=0.004, R=0.100). At the genus level, 10 bacterial genera (Bacteroides, Pantoea, Methylobacterium-Methylorubrum, Inquilinus, Mycobacterium, Allisonella, Helicobacter, GCA-900066575, IS-44, and Faecalibacterium) were significantly enriched in Group A, whereas five genera (Papillibacter, Scardovia, Turicibacter, Catabacter, and Senegalimassilia) were significantly enriched in Group B. The highly abundant genera Bacteroides, Pantoea, Faecalibacterium, and Turicibacter participated in multiple amino acid metabolism pathways, organic acid metabolism pathways, pyrimidine metabolism pathways, palmitate biosynthesis, and stearate biosynthesis. Redundancy analysis showed that four environmental factors (total bilirubin, international normalized ratio, prealbumin, and albumin) were significantly correlated with intestinal microorganisms. The formation of interaction networks between different gut microbiomes revealed important correlations between the gut microbiome, and there was a significant correlation between the highly abundant gut microbiome and main functions. Conclusions: The gut microbiota characteristics in B-HCC patients after extended hepatectomy liver failure might allow for the use of non-invasive biomarkers for disease diagnosis and treatment.
RESUMEN
Background: This study sought to evaluate the association between intestinal Klebsiella and post-hepatectomy liver failure (PHLF) in patients with hepatitis B virus (HBV)-related hepatocellular carcinoma (B-HCC), and identify the inner relationship. Methods: Patients with B-HCC were divided into Groups A and B based on the presence or absence of PHLF. 16S ribosomal ribonucleic acid surveys were used to identify gut microbiome alterations. PICRUST2 was used to examine the metagenomic data in PHLF patients. Fecal and serum samples were processed by chromatography-mass spectrometry based non-targeted metabonomics, then comprehensively analyzed to obtain hub metabolites. A Spearman correlation analysis was then conducted to find any associations between fecal differential metabolites and the relative abundance of differential microbes. Results: Hepatectomies were significantly associated with a gut microbial imbalance in B-HCC patients, and a significant elevation of Klebsiella abundance was observed in PHLF patients. Klebsiella appears to act on 13 amino acid-related pathways, especially significantly observed in branched-chain amino acid (BCAA) metabolic pathways. Additionally, Klebsiella was found to be highly correlated with 3-methyl-2-oxobutanoic acid shared by feces and serum in the BCAA metabolic pathway. Conclusions: Hepatectomy can lead to an imbalance of intestinal microflora in B-HCC patients. Due to its potential connections with 3-methyl-2-oxobutanoic acid in the BCAA pathway, significantly increased Klebsiella has the potential to be an evaluation indicator of PHLF in B-HCC patients. Moreover, 3-methyl-2-oxobutanoic acid has research value in PHLF-targeted treatments.
RESUMEN
Background: Age was important prognostic factors for operable hepatocellular carcinoma patients. The aim of the present study was to assess the difference in gut microbiota in patients with operable hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) at different ages ; to investigate the features of the microbiota and its function associated with different ages; to provide a preliminary look at effects of the gut microbiota dimension on prognostic. Methods: From September 2020 to May 2021, patients with HBV-HCC were able to undergo liver resection and were recruited consecutively and divided into the younger age group (age <45 years) (Y.AG) (n=20), middle age group (age from 45 to 65 years) (M.AG) (n=13) 45-65 years, and older age group (age >65 years) (O.AG) (n=20). The relationships between gut microbiota and different ages were explored using 16S rRNA gene sequencing data. PICRUST2 was used to examine the metagenomic data in PHLF patients. Fisher's exact and Mann-Whitney U-test were used for the data analysis. Results: Pairwise comparison between the three groups showed that the α-diversity of Y.AG was significantly higher than that of O.AG (ACE Index, P=0.017; chao1 Index, P=0.031; observed_species Index, P=0.011; and goods_coverage Index, P=0.041). The ß-diversity in the 3 groups differed significantly (stress =0.100), while the composition (ß-diversity) differed significantly between the Y.AG and the M.AG (stress =0.090), the M.AG and the O.AG (stress =0.095), and the Y.AG and the O.AG (stress =0.099). At the genus level, 7 bacterial genera were significantly enriched in the O.AG compared with the Y.AG, of which Streptococcus, Blautia, Erysipelotrichaceae_UCG-003, and Fusicatenibacter represented the major variances in O.AG microbiomes. Eleven genera were significantly increased in the O.AG, of which Prevotella, Allorhizobium-Neorhizobium-Pararhizobium-Rhizobium, Ruminiclostridium, and Phascolarctobacterium represented the major variances in the O.AG. The Y.AG and the O.AG were predicted by PICRUSt2 analysis, which found 72 pathways related to differential gut microbiome at the genus level. Redundancy analysis showed that 7 environmental factors were significantly correlated with intestinal microorganisms, especially in the Y.AG compared with the O.AG. Conclusions: Analysis of gut microbiota characteristics in patients of different ages could ultimately contribute to the development of novel avenues for the treatment of HCC at different ages.