海洋来源硫酸多糖体外抗单纯疱疹病毒2型研究
Study on the anti-Herpes simplex virus type-2 in vitro of polysaccharide sulfate from marine sourse
闫涵 1杨佳依 1许中秋 1王世欣 2王伟1
作者信息
- 1. 中国海洋大学海洋药物教育部重点实验室,医药学院,山东青岛 266003
- 2. 中国海洋大学海洋药物教育部重点实验室,医药学院,山东青岛 266003;青岛海洋生物医药研究院,山东青岛 266071
- 折叠
摘要
目的 对海洋来源硫酸多糖(SPM)进行体外抗单纯疱疹病毒2型(HSV-2)活性研究.方法 利用细胞病变效应(CPE)抑制实验、Western blot实验和MTT法对其体外抗HSV-2活性和细胞毒性进行评价,通过Western blot实验对其具体作用方式以及吸附后具体作用时间进行探究.利用空斑减少、膜融合抑制和RT-PCR实验对其初步靶点进行探究.结果 SPM具有良好的体外抗HSV-2活性,其在Vero细胞中的半抑制浓度(IC50)为(16.1±1.8)μg/mL,选择性指数(SI)值大于62.1.具体作用方式及吸附后具体作用阶段探究结果表明,SPM可以与病毒直接相互作用,还可以影响病毒的吸附、内吞以及增殖,发挥抗HSV-2作用.结论 SPM具有良好的体外抗HSV-2活性,具有高效低毒的特点,与现有的抗单纯疱疹病毒药物作用机制不同,为疱疹病毒感染的预防和治疗提供了新的研究思路和药物研发方向.
Abstract
Objective To study the anti-Herpes simplex virus type-2 in vitro of polysaccharide sulfate from marine sourse.Methods CPE inhibition test,Western blot test and MTT assay were used to evaluate the anti-HSV-2 activity and cytotoxicity of SPM in vitro,respectively.In addition,the specific action mode and specific action time after adsorption were explored by Western blot test.Finally,plaque reduction,membrane fusion inhibition and RT-PCR experiments were used to explore its preliminary target.Results SPM has good anti-HSV-2 activity in vitro,the IC50 in Vero cells was(16.1±1.8)μg/mL and the SI value was greater than 62.1.In addition,the specific mode of action and the specific stage of action after adsorption showed that SPM could directly interact with the virus to inactivate the virus,and could also affect the adsorption,endocytosis and proliferation of the virus to play an anti-HSV-2 role.Conclusion SPM has good anti-HSV-2 activity in vitro,with the characteristics of high efficiency and low toxicity,which is different from the existing anti-Herpes simplex virus drugs,and provides new research ideas and drug research and development direction for the prevention and treatment of herpes virus infection.
关键词
抗单纯疱疹病毒/海洋多糖SPM/灭活病毒/病毒增殖Key words
anti-Herpes simplex virus/marine polysaccharide SPM/inactivated virus/virus proliferation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据