Research on gut microbiota characteristics of PBC patients at different ALBI grades based on machine learning
This study highlights significant differences in gut microbiota profiles among PBC patients with different ALBI grades. The increased abundance of Lachnospira and upregulation of sulfur metabolism pathways are notable in patients with lower ALBI grades. The machine learning models developed based on gut microbiota features offer promising tools for discriminating between PBC patients with varying disease severities, which could enhance the precision of treatment strategies.
Authors
- Juan Zhao (ORCID: https://orcid.org/0000-0002-8412-2472)
- Ronghua Jin (ORCID: https://orcid.org/0000-0001-8496-172X)
- Qi Wang (ORCID: https://orcid.org/0000-0003-3282-9422)
- Chunyang Huang (ORCID: https://orcid.org/0000-0002-0037-1114)
- Yang Xue (ORCID: https://orcid.org/0009-0004-6371-6724)
- Han Shi
- Yanmin Liu (ORCID: https://orcid.org/0000-0002-8950-1340)
- Bin Xu (ORCID: https://orcid.org/0000-0003-0830-014X)
Institutions
- Capital Medical University (CN)
- National Institute for Communicable Disease Control and Prevention (CN)
- Beijing YouAn Hospital (CN)
- Beijing Ditan Hospital (CN)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2024-11-06
- DOI
- https://doi.org/10.3389/fmicb.2024.1495170
- Citations
- 4
- Primary Topic
- Liver Diseases and Immunity
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- National Natural Science Foundation of China
- Capital Medical University
- Natural Science Foundation of Beijing Municipality
- Beijing Municipal Science and Technology Commission
- Chinesisch-Deutsche Zentrum für Wissenschaftsförderung