Single-cell insights into drug response and resistance in inflammatory bowel disease: cellular hallmarks and precision therapy.

IF 8.7
Chunshan Yin, Ruohang He, Hanke Ma, Yu Fu
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Abstract

Background & aims: The treatment of inflammatory bowel disease faces a persistent efficacy ceiling, with approximately 30%-50% of patients failing to achieve or sustain remission with current biologics and small-molecule inhibitors. This challenge is partly attributable to profound mucosal heterogeneity. Single-cell and spatial multi-omics technologies have enabled this heterogeneity to be characterized at cellular and spatial resolution. We aimed to synthesize single-cell and spatial multi-omics evidence to clarify the cellular mechanisms underlying therapeutic response and resistance and their implications for precision therapy.

Methods: We examined single-cell evidence across therapies targeting tumor necrosis factor, integrins, interleukin-12/23, and Janus kinases and organized the findings around three interacting cellular hallmarks: immune dysregulation, stromal remodeling, and epithelial reprogramming.

Results: Single-cell and spatial multi-omics studies indicate that therapeutic efficacy may depend on the capacity to remodel multicellular communication networks rather than simply neutralizing individual molecular targets. Treatment resistance is associated with bypass pathway activation, drug-induced paradoxical reprogramming and pathogenic subset enrichment, and alternative homing routes. Predictive models link multicellular modules, dynamic gene expression signatures, and multi-omics integration frameworks to treatment outcomes and may facilitate the development of clinically accessible patient-stratification tools.

Conclusions: These findings support a cellular ecosystem framework for understanding therapeutic response and resistance in inflammatory bowel disease. Translating this framework into precision care will require functional validation of candidate mechanisms and prospective clinical evaluation of predictive tools for treatment selection.

单细胞洞察炎症性肠病的药物反应和耐药:细胞标志和精确治疗。
背景与目的:炎症性肠病的治疗面临一个持续的疗效上限,大约30%-50%的患者使用目前的生物制剂和小分子抑制剂无法达到或维持缓解。这一挑战部分是由于粘膜的异质性。单细胞和空间多组学技术使这种异质性能够在细胞和空间分辨率上表征。我们旨在综合单细胞和空间多组学证据来阐明治疗反应和耐药的细胞机制及其对精确治疗的意义。方法:我们检查了针对肿瘤坏死因子、整合素、白细胞介素-12/23和Janus激酶的治疗的单细胞证据,并围绕三个相互作用的细胞特征组织了研究结果:免疫失调、基质重塑和上皮重编程。结果:单细胞和空间多组学研究表明,治疗效果可能取决于重塑多细胞通信网络的能力,而不是简单地中和单个分子靶点。治疗耐药与旁路通路激活、药物诱导的矛盾重编程和致病性亚群富集以及替代归巢途径有关。预测模型将多细胞模块、动态基因表达特征和多组学整合框架与治疗结果联系起来,并可能促进临床可获得的患者分层工具的开发。结论:这些发现支持理解炎症性肠病治疗反应和耐药性的细胞生态系统框架。将这一框架转化为精确护理将需要候选机制的功能验证和治疗选择预测工具的前瞻性临床评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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