Background <p>The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating complications related to portal hypertension in patients with liver cirrhosis, is often associated with an increased risk of postoperative complications such as hepatic encephalopathy. Accurate preoperative prediction of the risk of developing hepatic encephalopathy is critical for optimizing the rational clinical application of TIPS.</p> Methods <p>In this study, stool samples from 67 patients were collected preoperatively and 1&#xa0;month postoperatively and metagenomic sequencing was performed to assess the composition of the gut microbiota. The differential abundances of species and MetaCyc pathways were analyzed using microbiome multivariate associations with linear models. Correlations between variables, including species abundance, the MetaCyc pathway, and clinical characteristics, were assessed using the Pearson correlation test. Prognostic models were developed from metagenomic sequencing cohorts to predict hepatic encephalopathy (HE) and elevated blood ammonia levels.</p> Results <p>We demonstrated that the abundance of <i>Phocaeicola vulgatus</i> increased after TIPS, and the urea cycle decreased. A positive correlation was observed between <i>P.vulgatus</i> and elevated blood ammonia levels (P &lt; 0.05). Patients exhibiting increased blood ammonia after TIPS showed significant enrichment of <i>P.vulgatus</i> (LDA &gt; 2.5), accompanied by a reduction in the urea cycle (P &lt; 0.05) and associated enzymes (P &lt; 0.05). Similar microbiota alterations were identified in patients who experienced postoperative hepatic encephalopathy. Furthermore, a comprehensive genetic profile of <i>P.vulgatus</i> was developed, highlighting its ability to increase amino acid metabolism. Many models have shown that the use of gut microbiota characteristics has greater predictive performance.</p> Conclusion <p>Multiple machine learning models revealed that P.vulgatus may serve as a significant predictive microbe for hepatic encephalopathy after TIPS, which may be closely related to its ability to metabolize ammonia. These findings establish a microbiome-based framework for postoperative complication risk stratification and personalized preoperative interventions and offer unexplored targets for future research.</p>

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Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients

  • Shengpeng Li,
  • Zhengguo Xu,
  • Hua Diao,
  • An Zhou,
  • Dianji Tu,
  • Sumin Wang,
  • Yunxuan Feng,
  • Xiaojie Feng,
  • Yi Lai,
  • Shiming Yang,
  • Bo Tang

摘要

Background

The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating complications related to portal hypertension in patients with liver cirrhosis, is often associated with an increased risk of postoperative complications such as hepatic encephalopathy. Accurate preoperative prediction of the risk of developing hepatic encephalopathy is critical for optimizing the rational clinical application of TIPS.

Methods

In this study, stool samples from 67 patients were collected preoperatively and 1 month postoperatively and metagenomic sequencing was performed to assess the composition of the gut microbiota. The differential abundances of species and MetaCyc pathways were analyzed using microbiome multivariate associations with linear models. Correlations between variables, including species abundance, the MetaCyc pathway, and clinical characteristics, were assessed using the Pearson correlation test. Prognostic models were developed from metagenomic sequencing cohorts to predict hepatic encephalopathy (HE) and elevated blood ammonia levels.

Results

We demonstrated that the abundance of Phocaeicola vulgatus increased after TIPS, and the urea cycle decreased. A positive correlation was observed between P.vulgatus and elevated blood ammonia levels (P < 0.05). Patients exhibiting increased blood ammonia after TIPS showed significant enrichment of P.vulgatus (LDA > 2.5), accompanied by a reduction in the urea cycle (P < 0.05) and associated enzymes (P < 0.05). Similar microbiota alterations were identified in patients who experienced postoperative hepatic encephalopathy. Furthermore, a comprehensive genetic profile of P.vulgatus was developed, highlighting its ability to increase amino acid metabolism. Many models have shown that the use of gut microbiota characteristics has greater predictive performance.

Conclusion

Multiple machine learning models revealed that P.vulgatus may serve as a significant predictive microbe for hepatic encephalopathy after TIPS, which may be closely related to its ability to metabolize ammonia. These findings establish a microbiome-based framework for postoperative complication risk stratification and personalized preoperative interventions and offer unexplored targets for future research.