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IL11+ fibroblasts are implicated in nonresponse to anti–TNF-α via fibrosis in inflammatory bowel disease
Wangyue Li, Wei Huang, Jiaxin Wang, Yiwen Tu, Qidi Yang, Yao Zhou, Zile Zhang, Haiming Zhuang, Yubei Gu, Duowu Zou, Yao Zhang
Wangyue Li, Wei Huang, Jiaxin Wang, Yiwen Tu, Qidi Yang, Yao Zhou, Zile Zhang, Haiming Zhuang, Yubei Gu, Duowu Zou, Yao Zhang
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Research Article Gastroenterology Inflammation

IL11+ fibroblasts are implicated in nonresponse to anti–TNF-α via fibrosis in inflammatory bowel disease

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Abstract

Inflammatory bowel disease (IBD) is frequently accompanied by intestinal fibrosis, with nonresponse to long-term anti–TNF-α therapy occurring in approximately 23%–46% of patients. Integrated analysis of single-cell and bulk RNA-seq datasets revealed an expansion of IL11+ fibroblasts in inflamed intestine and their significant enrichment in nonresponders. We further identified IL11+ fibroblasts as a central communication hub that engaged in extensive crosstalk with monocytes and may contribute to inflammatory amplification and fibrotic remodeling. Additionally, we employed machine learning approaches, including least absolute shrinkage and selection operator, support vector machines, and random forest, to derive an IL11+ fibroblast–related gene signature effectively predicting nonresponse to anti–TNF-α in validation and test cohorts. IHC further confirmed the overexpression of IL-11 in nonresponders. The signature genes we found are not only associated with immune and inflammatory responses but also with fibrosis, indicating a robust association between fibrosis and anti–TNF-α treatment failure. In summary, this study highlights the important role of IL11+ fibroblasts in orchestrating both inflammation and fibrosis and provides an applicable model for predicting nonresponse to anti–TNF-α in IBD, thereby laying the foundation for precision medicine and targeted therapeutic strategies.

Authors

Wangyue Li, Wei Huang, Jiaxin Wang, Yiwen Tu, Qidi Yang, Yao Zhou, Zile Zhang, Haiming Zhuang, Yubei Gu, Duowu Zou, Yao Zhang

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Figure 6

The central role of IL11 in the nonresponse prediction model.

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The central role of IL11 in the nonresponse prediction model.
(A) ROC cu...
(A) ROC curve showing the predictive performance of the nonresponse prediction model in the independent test set GSE73661 (AUC = 0.825). (B) Bee-swarm plot showing the contribution strength and direction of each gene in the model to the prediction value. Dot color reflects feature values (red: high; blue: low). (C) Graphic overview illustrating the source and composition of samples for staining experiments including IHC. Pretreatment inflamed bowel samples were obtained from 36 patients with CD, comprising 13 responders and 23 nonresponders. Created with BioRender.com. (D) Representative images of H&E, Masson’s trichrome, and IL-11 IHC staining of inflamed intestine sections from a nonresponder and a responder. Original magnification: ×10. Scale bar: 100 μm. These experiments were conducted in 23 nonresponders and 13 responders. (E) Box plots showing the mean OD of IL-11–stained area and IL-11_%Area (the percentage of IL-11–positive area) of nonresponders (n = 23) and responders (n = 13). Median, quartiles, and range are shown. Statistical significance was determined by Wilcoxon’s rank-sum test (**P ≤ 0.01; ****P ≤ 0.0001). (F and G) Forest plots showing the ORs (F) and HRs (G) of IL-11_%Area, CRP, ALB, and ESR for the occurrence of nonresponse in the cohort. (H) Probability change of biologic treatment response over time in patients stratified by high/low IL-11_%Area (based on the median value of IL-11_%Area). Top: Kaplan-Meier survival curves for the 2 groups; bottom: number of patients at risk within each group. Statistical significance was determined by the log-rank test.

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