Machine learning prediction of obesity-associated gut microbiota: identifying Bifidobacterium pseudocatenulatum as a potential therapeutic target
<i>Bifidobacterium pseudocatenulatum</i> holds potential as a therapeutic agent for managing diet-induced obesity, underscoring its relevance in microbiome-based obesity research and intervention.
Authors
- Jie Qiao (ORCID: https://orcid.org/0000-0003-2126-1376)
- Changqing Zhao (ORCID: https://orcid.org/0000-0002-3825-0940)
- Baocheng Chang (ORCID: https://orcid.org/0000-0002-6674-6644)
- Ximiao Yang
- Yuxuan Jiang (ORCID: https://orcid.org/0000-0001-6859-8756)
- Xinran Li (ORCID: https://orcid.org/0000-0001-7375-7758)
- Yuan Li (ORCID: https://orcid.org/0000-0001-8712-2470)
- Shenglan Wang
- Hao Wu (ORCID: https://orcid.org/0000-0002-7767-9192)
- Juhong Yang
Institutions
- Tianjin University (CN)
- Guangdong Medical College (CN)
- Shaoxing University (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2025-02-05
- DOI
- https://doi.org/10.3389/fmicb.2024.1488656
- Citations
- 4
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Tianjin City
- Tianjin Medical University
- National Key Research and Development Program of China