Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, Germany.
Research Area Information Theory and Systematic Design of Communication Systems, RWTH Aachen University, Aachen, Germany.
Front Immunol. 2018 Mar 20;9:393. doi: 10.3389/fimmu.2018.00393. eCollection 2018.
Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the underling causative factors are still debatable. Heparan sulfate (HS) fragments belong to the class of danger/damage-associated molecular patterns liberated from endothelial-bound proteoglycans by heparanase during tissue injury associated with trauma or sepsis. We hypothesized that HS induces apoptosis or necroptosis in murine cardiomyocytes. By using a novel Medical- approach that combines conventional cell culture experiments with machine learning algorithms, we aimed to reduce a significant part of the expensive and time-consuming cell culture experiments and data generation by using computational intelligence (refinement and replacement). Cardiomyocytes exposed to HS showed an activation of the intrinsic apoptosis signal pathway cytochrome C and the activation of caspase 3 (both < 0.001). Notably, the exposure of HS resulted in the induction of necroptosis by tumor necrosis factor α and receptor interaction protein 3 ( < 0.05; < 0.01) and, hence, an increased level of necrotic cardiomyocytes. In conclusion, using this novel Medical- approach, our data suggest (i) that HS induces necroptosis in cardiomyocytes by phosphorylation (activation) of receptor-interacting protein 3, (ii) that HS is a therapeutic target in trauma- or sepsis-associated cardiomyopathy, and (iii) indicate that this proof-of-concept is a first step toward simulating the extent of activated components in the pro-apoptotic pathway induced by HS with only a small data set gained from the experiments by using machine learning algorithms.
危及生命的心肌病是一种严重但常见的并发症,与严重创伤或败血症有关。几种参与细胞凋亡和坏死性细胞死亡的信号通路与创伤或败血症相关的心肌病有关。然而,潜在的致病因素仍存在争议。硫酸乙酰肝素 (HS) 片段属于一类危险/损伤相关的分子模式,在创伤或败血症相关的组织损伤期间,由肝素酶从内皮结合的蛋白聚糖中释放出来。我们假设 HS 诱导小鼠心肌细胞发生细胞凋亡或坏死性细胞死亡。通过使用一种新的医学方法,该方法将传统的细胞培养实验与机器学习算法相结合,我们旨在通过计算智能(改进和替代)减少大量昂贵且耗时的细胞培养实验和数据生成。暴露于 HS 的心肌细胞显示出内在凋亡信号通路的激活 细胞色素 C 和 caspase 3 的激活 (均 < 0.001)。值得注意的是,HS 的暴露导致肿瘤坏死因子 α和受体相互作用蛋白 3 诱导的坏死性细胞死亡 (< 0.05;< 0.01),从而导致坏死性心肌细胞数量增加。总之,使用这种新的医学方法,我们的数据表明 (i) HS 通过受体相互作用蛋白 3 的磷酸化(激活)诱导心肌细胞发生坏死性细胞死亡,(ii) HS 是创伤或败血症相关心肌病的治疗靶点,以及 (iii) 表明这一概念验证是朝着使用机器学习算法仅从实验中获得的小数据集模拟 HS 诱导的促凋亡途径中激活成分的程度迈出的第一步。