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Coordinating Role of RXRα in Downregulating Hepatic Detoxification during Inflammation Revealed by Fuzzy-Logic Modeling

机译:模糊逻辑模型揭示RXRα在下调炎症过程中肝脏排毒中的协调作用

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摘要

During various inflammatory processes circulating cytokines including IL-6, IL-1β, and TNFα elicit a broad and clinically relevant impairment of hepatic detoxification that is based on the simultaneous downregulation of many drug metabolizing enzymes and transporter genes. To address the question whether a common mechanism is involved we treated human primary hepatocytes with IL-6, the major mediator of the acute phase response in liver, and characterized acute phase and detoxification responses in quantitative gene expression and (phospho-)proteomics data sets. Selective inhibitors were used to disentangle the roles of JAK/STAT, MAPK, and PI3K signaling pathways. A prior knowledge-based fuzzy logic model comprising signal transduction and gene regulation was established and trained with perturbation-derived gene expression data from five hepatocyte donors. Our model suggests a greater role of MAPK/PI3K compared to JAK/STAT with the orphan nuclear receptor RXRα playing a central role in mediating transcriptional downregulation. Validation experiments revealed a striking similarity of RXRα gene silencing versus IL-6 induced negative gene regulation (rs = 0.79; P<0.0001). These results concur with RXRα functioning as obligatory heterodimerization partner for several nuclear receptors that regulate drug and lipid metabolism.
机译:在各种炎症过程中,循环中的细胞因子(包括IL-6,IL-1β和TNFα)会引起肝脏排毒的广泛且与临床相关的损害,这是基于许多药物代谢酶和转运蛋白基因的同时下调。为了解决是否涉及共同机制的问题,我们用IL-6(人类肝脏急性期反应的主要介质)处理了人类原代肝细胞,并在定量基因表达和(磷酸化)蛋白质组学数据集中表征了急性期和排毒反应。选择性抑制剂被用来区分JAK / STAT,MAPK和PI3K信号通路的作用。建立了一个基于知识的,基于先验知识的模糊逻辑模型,该模型包括信号转导和基因调控,并用来自五个肝细胞供体的扰动衍生基因表达数据进行了训练。我们的模型表明,与JAK / STAT相比,MAPK / PI3K的作用更大,孤儿核受体RXRα在介导转录下调中起着核心作用。验证实验显示,RXRα基因沉默与IL-6诱导的负基因调控有着惊人的相似性(rs = 0.79; P <0.0001)。这些结果与RXRα作为调节药物和脂质代谢的几种核受体的强制性异源二聚体伙伴有关。

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