Intestinal flora and inflammatory bowel disease: Causal relationships and predictive models
By integrating MR, transcriptomic analysis, and sophisticated machine learning approaches, this study elucidates the causal relationships between intestinal flora and IBD. The application of machine learning not only enhanced predictive modeling but also offered new insights into IBD pathogenesis, highlighted potential therapeutic targets, and established a robust framework for predicting IBD onset.
Authors
- Xiaoyun Yang (ORCID: https://orcid.org/0000-0002-2569-3048)
- Yanbo Yu (ORCID: https://orcid.org/0000-0003-2995-3270)
- Zhenguo Wu (ORCID: https://orcid.org/0000-0002-8153-2169)
- Zhiwen Yao (ORCID: https://orcid.org/0000-0001-6176-3720)
- Yu Li (ORCID: https://orcid.org/0000-0001-6192-3771)
- Jin-Bei Wang
- Guan-Wei Bi
Institutions
- Shandong University (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e38101
- Citations
- 9
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 4.95
Funders
- Shandong University
- National Natural Science Foundation of China
- Taishan Scholar Foundation of Shandong Province
- Taishan Scholar Project of Shandong Province