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新型冠状病毒肺炎的免疫发病机制和免疫遗传变异。

Immunopathogenesis and Immunogenetic Variants in COVID-19.

机构信息

Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand.

Center of Biomedical Informatics, Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.

出版信息

Curr Pharm Des. 2022;28(22):1780-1797. doi: 10.2174/1381612828666220519150821.

Abstract

Coronavirus disease 2019 (COVID-19) continues to spread globally despite the discovery of vaccines. Many people die due to COVID-19 as a result of catastrophic consequences, such as acute respiratory distress syndrome, pulmonary embolism, and disseminated intravascular coagulation caused by a cytokine storm. Immunopathology and immunogenetic research may assist in diagnosing, predicting, and treating severe COVID-19 and the cytokine storm associated with COVID-19. This paper reviews the immunopathogenesis and immunogenetic variants that play a role in COVID-19. Although various immune-related genetic variants have been investigated in relation to severe COVID-19, the NOD-like receptor protein 3 (NLRP3) and interleukin 18 (IL-18) have not been assessed for their potential significance in the clinical outcome. Here, we a) summarize the current understanding of the immunogenetic etiology and pathophysiology of COVID-19 and the associated cytokine storm; and b) construct and analyze protein-protein interaction (PPI) networks (using enrichment and annotation analysis) based on the NLRP3 and IL18 variants and all genes, which were established in severe COVID-19. Our PPI network and enrichment analyses predict a) useful drug targets to prevent the onset of severe COVID-19, including key antiviral pathways such as Toll-Like-Receptor cascades, NOD-like receptor signaling, RIG-induction of interferon (IFN) α/β, and interleukin (IL)-1, IL-6, IL-12, IL-18, and tumor necrosis factor signaling; and b) SARS-CoV-2 innate immune evasion and the participation of MYD88 and MAVS in the pathophysiology of severe COVID-19. The PPI network genetic variants may be used to predict more severe COVID-19 outcomes, thereby opening the door for targeted preventive treatments.

摘要

新型冠状病毒病 2019(COVID-19)尽管发现了疫苗,但仍在全球范围内传播。由于细胞因子风暴引起的急性呼吸窘迫综合征、肺栓塞和弥散性血管内凝血等灾难性后果,许多人死于 COVID-19。免疫病理学和免疫遗传学研究可能有助于诊断、预测和治疗严重 COVID-19 以及与 COVID-19 相关的细胞因子风暴。本文综述了在 COVID-19 中起作用的免疫发病机制和免疫遗传变异。尽管已经研究了与严重 COVID-19 相关的各种免疫相关遗传变异,但尚未评估 NOD 样受体蛋白 3(NLRP3)和白细胞介素 18(IL-18)在临床结局中的潜在意义。在这里,我们 a)总结了目前对 COVID-19 及其相关细胞因子风暴的免疫遗传病因和病理生理学的理解;b)根据 NLRP3 和 IL18 变体以及所有严重 COVID-19 中建立的基因构建和分析蛋白质-蛋白质相互作用(PPI)网络(使用富集和注释分析)。我们的 PPI 网络和富集分析预测了 a)预防严重 COVID-19 发作的有用药物靶点,包括关键的抗病毒途径,如 Toll-Like-Receptor 级联、NOD 样受体信号、RIG 诱导干扰素(IFN)α/β和白细胞介素(IL)-1、IL-6、IL-12、IL-18 和肿瘤坏死因子信号;b)SARS-CoV-2 先天免疫逃避以及 MYD88 和 MAVS 在严重 COVID-19 病理生理学中的参与。PPI 网络遗传变异可用于预测更严重的 COVID-19 结局,从而为靶向预防治疗开辟了大门。

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