4.5 Article

Alterations in bile acid metabolizing gut microbiota and specific bile acid genes as a precision medicine to subclassify NAFLD

期刊

PHYSIOLOGICAL GENOMICS
卷 53, 期 8, 页码 336-348

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/physiolgenomics.00011.2021

关键词

gut microbiota; NAFLD; secondary BA synthesis; whole metagenome sequencing data

资金

  1. National Natural Science Foundation of China [81774152, 81770571, 82000536]
  2. National Postdoctoral Program for Innovative Talents of China [BX20190393]
  3. China Postdoctoral Science Foundation [2019M663252, 2019M651568]
  4. Fundamental Research Funds for the Central Universities [19ykzd01, 20kypy07]
  5. Guangzhou Science and Technology Plan Projects [201803040019]
  6. Guangdong Province Pearl River Talent Plan Innovation and Entrepreneurship Team Project [2019ZT08Y464]
  7. National Key Clinical Discipline of China
  8. University at Buffalo Community of Excellence in Genome, Environment and Microbiome (GEM)
  9. National Institute of Environmental Health Sciences [5P42ES010337]
  10. National Center for Advancing Translational Sciences [5UL1TR001442]
  11. National Institute of Diabetes and Digestive and Kidney Diseases [R01DK106419]

向作者/读者索取更多资源

This study investigated the role of altered bile acid metabolizing microbes in the pathogenesis of NAFLD through whole metagenome sequencing data analysis. The findings identified microbial alterations and markers in NAFLD, as well as the potential for precision medicine based on differences in bacterial BA metabolism among patients.
Multiple mechanisms for the gut microbiome contributing to the pathogenesis of nonalcoholic fatty liver disease (NAFLD) have been implicated. Here, we aim to investigate the contribution and potential application for altered bile acids (BA) metabolizing microbes in NAFLD by post hoc analysis of whole metagenome sequencing (WMS) data. The discovery cohort consisted of 86 well-characterized patients with biopsy-proven NAFLD and 38 healthy controls. Assembly-based analysis was performed to identify BA-metabolizing microbes. Statistical tests, feature selection, and microbial coabundance analysis were integrated to identify microbial alterations and markers in NAFLD. An independent validation cohort was subjected to similar analyses. NAFLD microbiota exhibited decreased diversity and microbial associations. We established a classifier model with 53 differential species exhibiting a robust diagnostic accuracy [area under the receiver-operator curve (AUC)= 0.97] for detecting NAFLD. Next, eight important differential pathway markers including secondary BA biosynthesis were identified. Specifically, increased abundance of 7 alpha-hydroxysteroid dehydrogenase (7 alpha-HSDH), 3 alpha-hydroxysteroid dehydrogenase (balA), and bile acid-coenzyme A ligase (baiB) was detected in NAFLD. Furthermore, 10 of 50 BA-metabolizing metagenome-assembled genomes (MAGs) from Bacteroides ovatus and Eubacterium biforme were dominant in NAFLD and interplayed as a synergetic ecological guild. Importantly, two subtypes of patients with NAFLD were observed according to secondary BA metabolism potentials. Elevated capability for secondary BA biosynthesis was also observed in the validation cohort. These bacterial BA-metabolizing genes and microbes identified in this study may serve as disease markers. Microbial differences in BA-metabolism and strain-specific differences among patients highlight the potential for precision medicine in NAFLD treatment.

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