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鉴定参与脓毒症进展的关键铁死亡相关基因并进行实验验证

Identification of the key ferroptosis-related genes involved in sepsis progression and experimental validation .

作者信息

Li Zhixi, Yu Yongjing, Liu Chang, Chen Guangmin, Gong Weidong, Luo Juan, Yue Ziyong

机构信息

Heilongjiang Province Key Laboratory of Research on Anesthesiology and Critical Care Medicine, Harbin, China.

The Key Laboratory of Myocardial Ischemia Organization, Chinese Ministry of Education, Harbin, China.

出版信息

Front Pharmacol. 2022 Aug 11;13:940261. doi: 10.3389/fphar.2022.940261. eCollection 2022.

Abstract

Ferroptosis has a vital role in sepsis, but the mechanism is not known. Understanding the mechanism of ferroptosis during sepsis will aid in developing improved therapeutic strategies. We used the Gene Expression Omnibus database and FerrDb database to obtain ferroptosis-related differentially expressed genes (DEGs) between sepsis patients and healthy volunteers (HVs). Analyses of PPI networks, functional enrichment, as well as use of the MCODE algorithm were used to identify key ferroptosis-related DEGs. Expression of key ferroptosis-related DEGs was verified using: GSE57065 and GSE65682 datasets; rats in which ferroptosis was induced with erastin; sepsis-induced acute lung injury (siALI) rats. The effects of acupoint catgut embedding (ACE) on ferroptosis and expression of key ferroptosis-related DEGs in the lungs of siALI rats were also observed. A Cox proportional hazard model was used to verify the effect of key ferroptosis-related DEGs on the survival of sepsis patients. Cytoscape was used to construct ceRNA networks and gene-transcription factor networks. Between sepsis patients and HVs, we identified 33 ferroptosis-related DEGs. According to analyses of PPI networks and the MCODE algorithm, we obtained four modules, of which the most significant module contained nine ferroptosis-related DEGs. Functional-enrichment analyses showed that four of the nine DEGs were enriched in the MAPK signaling pathway: , , , and . We verified expression of these four genes in GSE57065 and GSE65682 datasets and ferroptosis rats. In addition, expression of these four genes and that of the oxidative-stress indicators GSSG and MDA was upregulated, and glutathione peroxidase-4 (GPX4) expression was downregulated, in siALI rats, but ACE reversed these changes. The Cox proportional hazard model showed that survival of sepsis patients in the high-risk group was shorter than that in the low-risk group. We found that the XIST-hsa-let-7b-5p-TGFBR1/DUSP1 ceRNA network and transcription factor E2F1 may be important regulators of these four DEGs. Our results suggest that , , , and may be key regulatory targets of ferroptosis in sepsis, and that ACE pretreatment may be antioxidant treatment for sepsis and alleviate ferroptosis. These findings provide a basis for further ferroptosis-related study in sepsis and provide new targets for its treatment.

摘要

铁死亡在脓毒症中起关键作用,但其机制尚不清楚。了解脓毒症期间铁死亡的机制将有助于制定更好的治疗策略。我们使用基因表达综合数据库和FerrDb数据库,获取脓毒症患者与健康志愿者(HV)之间铁死亡相关的差异表达基因(DEG)。通过蛋白质-蛋白质相互作用(PPI)网络分析、功能富集分析以及使用MCODE算法来识别关键的铁死亡相关DEG。使用GSE57065和GSE65682数据集、用erastin诱导铁死亡的大鼠以及脓毒症诱导的急性肺损伤(siALI)大鼠验证关键铁死亡相关DEG的表达。还观察了穴位埋线(ACE)对siALI大鼠肺中铁死亡及关键铁死亡相关DEG表达的影响。使用Cox比例风险模型验证关键铁死亡相关DEG对脓毒症患者生存的影响。使用Cytoscape构建ceRNA网络和基因-转录因子网络。在脓毒症患者和HV之间,我们鉴定出33个铁死亡相关DEG。根据PPI网络分析和MCODE算法,我们获得了四个模块,其中最显著的模块包含九个铁死亡相关DEG。功能富集分析表明,九个DEG中的四个在丝裂原活化蛋白激酶(MAPK)信号通路中富集: 、 、 、和 。我们在GSE57065和GSE65682数据集以及铁死亡大鼠中验证了这四个基因的表达。此外,在siALI大鼠中,这四个基因以及氧化应激指标谷胱甘肽二硫化物(GSSG)和丙二醛(MDA)的表达上调,而谷胱甘肽过氧化物酶4(GPX4)的表达下调,但ACE可逆转这些变化。Cox比例风险模型显示,高危组脓毒症患者的生存期短于低危组。我们发现XIST-hsa-let-7b-5p-TGFBR1/DUSP1 ceRNA网络和转录因子E2F1可能是这四个DEG的重要调节因子。我们的结果表明, 、 、 、和 可能是脓毒症中铁死亡的关键调控靶点,且ACE预处理可能是脓毒症的抗氧化治疗并减轻铁死亡。这些发现为脓毒症中进一步的铁死亡相关研究提供了基础,并为其治疗提供了新的靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef73/9524243/a0d123db840c/fphar-13-940261-g001.jpg

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