| For: | Qiao T, Wen XH. Exploring gut microbiota as a novel therapeutic target in Crohn’s disease: Insights and emerging strategies. World J Gastroenterol 2025; 31(2): 100827 [PMID: 39811502 DOI: 10.3748/wjg.v31.i2.100827] |
|---|---|
| URL: | https://www.wjgnet.com/1007-9327/full/v31/i2/100827.htm |
| Number | Citing Articles |
| 1 |
Adam Wawrzeńczyk, Marta Czarnowska, Samira Darwish, Aleksandra Ćwirko-Godycka, Kinga Lis, Maciej Szota, Paweł Treichel, Aleksandra Wojtkiewicz, Katarzyna Napiórkowska-Baran. Methane, Bacteria, Fungi, and Fermentation: Pathophysiology, Diagnosis and Treatment Strategies for Small Intestinal Bacterial Overgrowth, Intestinal Methanogen Overgrowth and Small Intestinal Fungal Overgrowth. Current Issues in Molecular Biology 2025; 47(9) doi: 10.3390/cimb47090713
|
| 2 |
Nivedita Kedari, Urjaswee Dey, Desai Sreenija, Samriddha Paul, Shambhavi Shakya, Rhitam Biswas, Sudha Ramaiah, Anand Anbarasu. AI/ML-enabled multi-omics integration of host genetics, immunity, and the gut microbiome in Crohn’s disease: From diagnosis to theranostics. SLAS Technology 2026; 40 doi: 10.1016/j.slast.2026.100452
|
| 3 |
Xiaotao Zhang, Yueyue Guo, Jia Shi, Qianli Zang, Ying Li. Exclusive Effects of Moxibustion on Gut Microbiota: Protocol for a Focused Systematic Review and Meta-Analysis. JMIR Research Protocols 2025; 14 doi: 10.2196/73317
|
| 4 |
Huiyi Liu. Reconstructing the intestinal microbiota ecological network based on graph neural network and contrastive learning: Predicting key microbiota regulatory targets in Crohn’s Disease. Computational Biology and Chemistry 2026; 124 doi: 10.1016/j.compbiolchem.2026.109248
|