Decoding Cytokine Networks in Ulcerative Colitis to Identify Pathogenic Mechanisms and Therapeutic Targets

Marton L. Olbei, Isabelle Hautefort, John P Thomas, Luca L. Csabai, Balazs Bogar, Hajir Ibraheim, Aamir Saifuddin, Dezso Modos, Nick Powell, Tamas Korcsmaros
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Abstract

Ulcerative colitis (UC) is a chronic inflammatory disorder of the gastrointestinal tract characterised by dysregulated cytokine signalling. Despite the advent of advanced therapies targeting cytokine signalling, treatment outcomes for UC patients remain suboptimal. Hence, there is a pressing need to better understand the complexity of cytokine regulation in UC by comprehensively mapping the interconnected cytokine signalling networks that are perturbed in UC patients. To address this, we undertook systems immunology modelling of single-cell transcriptomics data from colonic biopsies of treatment-naive and treatment-exposed UC patients to build complex cytokine signalling networks underpinned by putative cytokine-cytokine interactions. The generated cytokine networks effectively captured known physiologically relevant cytokine-cytokine interactions which we recapitulated in vitro in UC patient-derived colonic epithelial organoids. These networks revealed new aspects of UC pathogenesis, including a cytokine subnetwork that is unique to treatment-naive UC patients, the identification of highly rewired cytokines across UC disease states (IL22, TL1A, IL23A, and OSM), JAK paralogue-specific cytokine-cytokine interactions, and the positioning of TL1A as an important upstream regulator of TNF and IL23A as well as an attractive therapeutic target. Overall, these findings open up several avenues for guiding future cytokine-targeting therapeutic approaches in UC, and the presented methodology can be readily applied to gain similar insights into other immune-mediated inflammatory diseases (IMIDs).
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解码溃疡性结肠炎的细胞因子网络,确定致病机制和治疗靶点
溃疡性结肠炎(UC)是一种以细胞因子信号失调为特征的慢性胃肠道炎症性疾病。尽管出现了针对细胞因子信号的先进疗法,但 UC 患者的治疗效果仍不理想。因此,迫切需要通过全面绘制在 UC 患者中受到干扰的相互关联的细胞因子信号网络来更好地了解 UC 中细胞因子调控的复杂性。为了解决这个问题,我们对未接受治疗和接受治疗的 UC 患者结肠活检的单细胞转录组学数据进行了系统免疫学建模,以构建由假定的细胞因子-细胞因子相互作用支撑的复杂细胞因子信号网络。生成的细胞因子网络有效地捕捉到了已知的生理相关细胞因子-细胞因子相互作用,我们在体外重现了 UC 患者来源的结肠上皮细胞器官组织。这些网络揭示了 UC 发病机制的新方面,包括治疗无效的 UC 患者特有的细胞因子亚网络、UC 疾病状态中高度重联的细胞因子(IL22、TL1A、IL23A 和 OSM)的鉴定、JAK 对位基因特异性细胞因子-细胞因子相互作用,以及将 TL1A 定位为 TNF 和 IL23A 的重要上游调节因子和有吸引力的治疗靶点。总之,这些发现为指导未来针对 UC 的细胞因子治疗方法开辟了几条途径,而且所介绍的方法也可随时应用于对其他免疫介导的炎症性疾病(IMIDs)的类似研究。
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