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基于 BiFC 技术检测自噬抑制剂的药物筛选及丁香酚抗流感 A 病毒活性的作用机制。

Drug screening for autophagy inhibitors based on the dissociation of Beclin1-Bcl2 complex using BiFC technique and mechanism of eugenol on anti-influenza A virus activity.

机构信息

Department of Microbiology and Immunology, Shantou University Medical College, Shantou, Guangdong, People's Republic of China.

出版信息

PLoS One. 2013 Apr 16;8(4):e61026. doi: 10.1371/journal.pone.0061026. Print 2013.

Abstract

Autophagy is involved in many human diseases, such as cancer, cardiovascular disease and virus infection, including human immunodeficiency virus (HIV), hepatitis C virus (HCV), influenza A virus (IAV) and coxsackievirus B3/B4 (CVB3/B4), so a drug screening model targeting autophagy may be very useful for the therapy of these diseases. In our study, we established a drug screening model based on the inhibition of the dissociation of Beclin1-Bcl2 heterodimer, an important negative regulator of autophagy, using bimolecular fluorescence complementation (BiFC) technique for developing novel autophagy inhibitors and anti-IAV agents. From 86 examples of traditional Chinese medicines, we found Syzygium aromaticum L. had the best activity. We then determined the anti-autophagy and anti-IAV activity of eugenol, the major active compound of Syzygium aromaticum L., and explored its mechanism of action. Eugenol could inhibit autophagy and IAV replication, inhibited the activation of ERK, p38MAPK and IKK/NF-κB signal pathways and antagonized the effects of the activators of these pathways. Eugenol also ameliorated the oxidative stress and inhibited the expressions of autophagic genes. We speculated that the mechanism underlying might be that eugenol inhibited the oxidative stress and the activation of ERK1/2, p38MAPK and IKK/NF-κB pathways, subsequently inhibited the dissociation of Beclin1-Bcl2 heterodimer and autophagy, and finally impaired IAV replication. These results might conversely display the reasonableness of the design of our screening model. In conclusion, we have established a drug screening model for developing novel autophagy inhibitor, and find eugenol as a promising inhibitor for autophagy and IAV infection.

摘要

自噬参与多种人类疾病,如癌症、心血管疾病和病毒感染,包括人类免疫缺陷病毒(HIV)、丙型肝炎病毒(HCV)、甲型流感病毒(IAV)和柯萨奇病毒 B3/B4(CVB3/B4),因此,针对自噬的药物筛选模型对于这些疾病的治疗可能非常有用。在我们的研究中,我们建立了一种基于抑制自噬的重要负调控因子 Beclin1-Bcl2 异二聚体解离的药物筛选模型,使用双分子荧光互补(BiFC)技术开发新型自噬抑制剂和抗 IAV 药物。从 86 种中药中,我们发现丁香有最好的活性。然后,我们确定了丁香中的主要活性化合物丁香酚的抗自噬和抗 IAV 活性,并探讨了其作用机制。丁香酚可以抑制自噬和 IAV 复制,抑制 ERK、p38MAPK 和 IKK/NF-κB 信号通路的激活,并拮抗这些通路的激活剂的作用。丁香酚还可以改善氧化应激并抑制自噬基因的表达。我们推测,其机制可能是丁香酚抑制氧化应激和 ERK1/2、p38MAPK 和 IKK/NF-κB 通路的激活,随后抑制 Beclin1-Bcl2 异二聚体的解离和自噬,最终损害 IAV 的复制。这些结果可能反过来显示了我们筛选模型设计的合理性。总之,我们已经建立了一种用于开发新型自噬抑制剂的药物筛选模型,并发现丁香酚是一种有前途的自噬和 IAV 感染抑制剂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fad0/3628889/9a6366881046/pone.0061026.g001.jpg

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