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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

机译:基于BiFC技术的Beclin1-Bcl2复合物解离和丁香酚抗甲型流感病毒活性的机制筛选自噬抑制剂

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摘要

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.
机译:自噬涉及许多人类疾病,例如癌症,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,我们使用双分子荧光互补(BiFC)技术开发了新型自噬抑制剂和抗IAV药物,建立了基于抑制Beclin1-Bcl2异二聚体(自噬的重要负调节剂)解离的药物筛选模型。从86个中药实例中,我们发现蒲桃(Syzygium aromaum L.)的活性最好。然后,我们测定了丁香香精的主要活性化合物丁子香酚的抗自噬和抗IAV活性,并探讨了其作用机理。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。丁香酚还改善了氧化应激并抑制了自噬基因的表达。我们推测潜在的机制可能是丁子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,并最终破坏IAV复制。这些结果可能反过来表明我们筛选模型设计的合理性。总之,我们已经建立了开发新型自噬抑制剂的药物筛选模型,并发现丁子香酚是自噬和IAV感染的有希望的抑制剂。

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