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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 2

An IL11+ fibroblast–centric CM and its intercellular interaction network.

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An IL11+ fibroblast–centric CM and its intercellular interaction network...
(A) Heatmap showing the cellular composition of CM01-07. Grid color represents the module weight of each subcluster across different CMs. (B) Abundance of each CM across CMTs and groups. The color codes for each CMT and group are listed on the right. Grid color represents the abundance of CMs in each sample. (C) Bar graph showing the proportions of the healthy control, noninflamed, and inflamed samples within each CMT. (D) Network graph showing associations among the core subclusters of CM01 (IL11+ fibroblasts, S100A8/9+ monocytes, FCGR3A+ monocytes, Tregs, and γδ T cells). Node size represents the number of associations, and line thickness represents the association strength. (E) Heatmap showing Spearman’s correlations among the core subclusters of CM01. The color scale for correlation coefficients and subcluster annotations are shown on the right. (F) Heatmap showing the activity of PROGENy-annotated inflammation-associated pathways in the 5 core subclusters of CM01. (G) Heatmap showing the interaction strength among the 5 core subclusters of CM01. (H) Heatmap displaying the top-ranked ligand-receptor pairs inferred by NicheNet for IL11+ fibroblasts regulating S100A8/9+ monocytes. The left panel shows the activity of top-ranked ligands from IL11+ fibroblasts and their interaction strength with potential receptors on S100A8/9+ monocytes; the right panel shows the downstream target genes in S100A8/9+ monocytes. The meaning represented by different grid colors is shown at the bottom of the figure.

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ISSN 2379-3708

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