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Gut microbiota of hepatitis B virus-infected patients in the immune-tolerant and immune-active phases and their implications in metabolite changes.
Li, Ya-Nan; Kang, Na-Ling; Jiang, Jia-Ji; Zhu, Yue-Yong; Liu, Yu-Rui; Zeng, Da-Wu; Wang, Fei.
Afiliação
  • Li YN; Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, Fujian Province, China.
  • Kang NL; Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, Fujian Province, China.
  • Jiang JJ; Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, Fujian Province, China.
  • Zhu YY; Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, Fujian Province, China.
  • Liu YR; Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, Fujian Province, China.
  • Zeng DW; Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350001, Fujian Province, China. zengdw1980@fjmu.edu.cn.
  • Wang F; Department of Pharmacy, Fujian Geriatric Hospital, Fuzhou 350001, Fujian Province, China.
World J Gastroenterol ; 28(35): 5188-5202, 2022 Sep 21.
Article em En | MEDLINE | ID: mdl-36188719
BACKGROUND: The microbes and metabolomics of microbiota dysbiosis in the gut in the different phases of hepatitis B virus (HBV) infection are not fully understood. AIM: To investigate the specific gut microbiota and metabolites of the immune-tolerant (IT) and immune-active (IA) phases of chronic hepatitis B (CHB). METHODS: Clinical fecal samples from healthy individuals and patients in the IT and IA phases of HBV infection were collected. Next, non-target metabolomics, bioinformatics, and 16S rDNA sequencing analyses were performed. RESULTS: A total of 293 different metabolites in 14 phyla, 22 classes, 29 orders, 51 families, and 190 genera were identified. The four phyla of Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were the most abundant, accounting for 99.72%, 99.79%, and 99.55% in the healthy controls, IT-phase patients, and IA-phase patients, respectively. We further identified 16 genera with different richness in the IT phase and IA phase of HBV infection. Of the 134 named metabolites, 57 were upregulated and 77 were downregulated. A total of 101 different metabolic functions were predicted in this study, with 6 metabolic pathways having the highest enrichments, namely carbohydrate metabolism (14.85%), amino acid metabolism (12.87%), lipid metabolism (11.88%), metabolism of cofactors and vitamins (11.88%), xenobiotic biodegradation (9.9%), and metabolism of terpenoids and polyketides (7.92%). CONCLUSION: These findings provide observational evidence of compositional alterations of the gut microbiome and some related metabolites in patients with IT-phase or IA-phase HBV infection. Further studies should investigate whether microbiota modulation can facilitate the progression of CHB and the cause-effect relationship between the gut microbiota and CHB.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Policetídeos / Microbioma Gastrointestinal / Hepatite B Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Policetídeos / Microbioma Gastrointestinal / Hepatite B Idioma: En Ano de publicação: 2022 Tipo de documento: Article