Felicia Hui Min Chan, Hui Wen Yeap, Zonghan Liu, Safwah Nasuha Rosli, Kay En Low, Isabelle Bonne, Yixuan Wu, Shu Zhen Chong, Kaiwen W Chen
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引用次数: 0
Abstract
Macrophages express pattern recognition and cytokine receptors that mediate proinflammatory signal transduction pathways to combat microbial infection. To retaliate against such responses, pathogenic microorganisms have evolved multiple strategies to impede innate immune signaling. Recent studies demonstrated that YopJ suppression of TAK1 signaling during Yersinia pseudotuberculosis infection promotes the assembly of a RIPK1-dependent death-inducing complex that enables caspase-8 to directly cleave and activate gasdermin D (GSDMD). However, whether and how macrophages respond to Yersinia infection in the absence of YopJ or caspase-8 activity remains unclear. Here, we demonstrate that loss of YopJ or its catalytic activity triggers non-canonical inflammasome activation in macrophages and that caspase-11 is required to restrict the bacterial burden in vivo. Under conditions of low caspase-8 activity, wild-type Y. pseudotuberculosis invades macrophages and accesses the cytosol, leading to non-canonical inflammasome activation. Thus, our study highlights the plasticity of death pathways to ensure GSDMD activation during Yersinia infection.
巨噬细胞表达模式识别和细胞因子受体,介导促炎信号转导途径以对抗微生物感染。为了报复这种反应,病原微生物已经进化出多种策略来阻止先天免疫信号。最近的研究表明,在假结核耶尔森菌感染期间,YopJ对TAK1信号的抑制促进了ripk1依赖性死亡诱导复合体的组装,该复合体使caspase-8能够直接切割和激活gasdermin D (GSDMD)。然而,在缺乏YopJ或caspase-8活性的情况下,巨噬细胞是否以及如何对耶尔森菌感染做出反应仍不清楚。在这里,我们证明了YopJ或其催化活性的丧失会触发巨噬细胞中的非规范炎性体激活,并且需要caspase-11来限制体内的细菌负担。在低caspase-8活性条件下,野生型假结核杆菌侵入巨噬细胞并进入细胞质,导致非典型炎性体激活。因此,我们的研究强调了在耶尔森菌感染期间确保GSDMD激活的死亡途径的可塑性。
期刊介绍:
Cell Reports publishes high-quality research across the life sciences and focuses on new biological insight as its primary criterion for publication. The journal offers three primary article types: Reports, which are shorter single-point articles, research articles, which are longer and provide deeper mechanistic insights, and resources, which highlight significant technical advances or major informational datasets that contribute to biological advances. Reviews covering recent literature in emerging and active fields are also accepted.
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