Yu Liang, Yang Kai, He Xiaoyan, Li Min, Gao Lin, Zha Yunhong
School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Department of Neurology, Institute of Neural Regeneration and Repair, The First Hospital of Yichang, Three Gorges University College of Medicine, Yichang, China.
Cell Death Discov. 2023 Feb 10;9(1):57. doi: 10.1038/s41420-023-01351-y.
Sepsis is a systemic inflammatory syndrome (SIRS) caused by acute microbial infection, and it has an extremely high mortality rate. Tumor necrosis factor-α (TNF-α)-induced necroptosis contributes to the pathophysiology of sepsis, so inhibiting necroptosis might be expected to improve clinical outcomes in septic patients. Here we predicted candidate drugs for treating sepsis in silico by combining genes differentially expressed in septic patients and controls combined with interrogation of the Library of Integrated Network-based Cellular Signatures (LINCS) L1000 perturbation database. Sixteen candidate drugs were screened out through bioinformatics analysis, and the top candidate linifanib was validated in cellular and mouse models of TNF-α-induced necroptosis. Cell viability was measured using a luminescent ATP assay, while the effects of linifanib on necroptosis were investigated by western blotting, immunoprecipitation, and RIPK1 kinase assays. Linifanib effectively protected cells from necroptosis and rescued SIRS mice from TNF-α-induced shock and death. In vitro, linifanib directly suppressed RIPK1 kinase activity. In vivo, linifanib effectively reduced overexpressed IL-6, a marker of sepsis severity, in the lungs of SIRS mice. Our preclinical evidence using an integrated in silico and experimental drug repositioning approach supports the potential clinical utility of linifanib in septic patients. Further clinical validation is now warranted.
脓毒症是一种由急性微生物感染引起的全身性炎症综合征(SIRS),其死亡率极高。肿瘤坏死因子-α(TNF-α)诱导的坏死性凋亡参与了脓毒症的病理生理过程,因此抑制坏死性凋亡有望改善脓毒症患者的临床结局。在此,我们通过整合脓毒症患者和对照组中差异表达的基因,并结合基于综合网络的细胞特征库(LINCS)L1000扰动数据库进行分析,在计算机上预测了治疗脓毒症的候选药物。通过生物信息学分析筛选出16种候选药物,并在TNF-α诱导的坏死性凋亡细胞模型和小鼠模型中对排名首位的候选药物林尼法尼进行了验证。使用发光ATP测定法测量细胞活力,同时通过蛋白质印迹、免疫沉淀和RIPK1激酶测定法研究林尼法尼对坏死性凋亡的影响。林尼法尼有效地保护细胞免受坏死性凋亡,并使SIRS小鼠免于TNF-α诱导的休克和死亡。在体外,林尼法尼直接抑制RIPK1激酶活性。在体内,林尼法尼有效降低了SIRS小鼠肺中过表达的IL-6(脓毒症严重程度的标志物)。我们使用计算机模拟和实验性药物重新定位相结合的临床前证据支持林尼法尼在脓毒症患者中的潜在临床应用价值。现在需要进一步的临床验证。