ArticleFrontiers in immunology2024
Identifying hub genes in response to ustekinumab and the impact of ustekinumab treatment on fibrosis in Crohn's disease.
Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical Significance of Mucin Signatures in Inflammatory Bowel Diseases: A Systematic Review of Their Expression Patterns, Polymorphisms, and Post-translational Modifications.Inflammatory bowel diseases · 2026Pooled it
- Identification of IL1RN, MUC1, and SERPINA1 as key NET-related biomarkers in ulcerative colitis-associated intestinal fibrosis via bioinformatics and experimental validation.BMC gastroenterology · 2026Article
- Exploratory transcriptomic analysis suggests candidate genes associated with loss of response to ustekinumab in Crohn's disease.Frontiers in genetics · 2026Article
- Proteomics of malignant pleural mesothelioma under hypoxic and normoxic conditions in a large animal (porcine) tumor model.BMC cancer · 2025Article
- Risk factors and long-term prognosis for colorectal strictures in ulcerative colitis.World journal of gastroenterology · 2025Article
- Article
- Development of Predictive Models for Long-Term Endoscopic Response to Ustekinumab in Crohn's Disease Based on Plasma Proteomics.Journal of inflammation research · 2025Article
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4 authors.
Funding
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Abstract
Introduction: Crohn's disease (CD) is a chronic inflammatory disease. Approximately 50% of patients with CD progressed from inflammation to fibrosis. Currently, there are no effective drugs for treating intestinal fibrosis. Biologic therapies for CD such as ustekinumab have benefited patients; however, up to 30% of patients with CD have no response to initial treatment, and the effect of ustekinumab on intestinal fibrosis is still uncertain. Therefore, it is of great significance to explore the predictive factors of ustekinumab treatment response and the effect of ustekinumab on intestinal fibrosis. Materials and methods: Public datasets-GSE207465 (blood samples) and GSE112366 and GSE207022 (intestinal samples)-were downloaded and analyzed individually (unmerged) based on the treatment response. Differentially expressed genes (DEGs) were identified by the "limma" R package and changes in immune cell infiltration were determined by the "CIBERSORT" R package in both blood and intestinal samples at week 0 (before treatment). To find predictive factors of ustekinumab treatment response, the weighted gene co-expression network analysis (WGCNA) R package was used to identify hub genes in GSE112366. Hub genes were then verified in GSE207022, and a prediction model was built by random forest algorithm. Furthermore, fibrosis-related gene changes were analyzed in ileal samples before and after treatment with ustekinumab. Results: (1) Our analysis found that Conclusion:
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