[特邀报告]Cold atmospheric plasma as a promising tool for regular COVID-19 epidemic control

Cold atmospheric plasma as a promising tool for regular COVID-19 epidemic control
编号:3 访问权限:仅限参会人 更新:2022-07-23 13:08:05 浏览:507次 特邀报告

报告开始:2022年07月24日 14:25 (Asia/Shanghai)

报告时间:20min

所在会议:[S3] 分会场3 » [S3-2] 精准医学与转化医学信息学

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摘要
Rational: The mutating SARS-CoV-2 potentially impairs the efficacy of current vaccines or antibody-based treatments. Broad-spectrum and rapid anti-virus methods feasible for regular epidemic prevention against COVID-19 or alike are urgently called for.  
Methods: Driven by computational predictions, we proposed the potential role of cold atmospheric plasma (CAP) in COVID-19 control, and used SARS-CoV-2 virus and self-bioengineered pseudoviruses that carry ACE2-binding spike protein domains to validate this hypothesis.  
Results: We found that CAP could effectively inhibit the entry of virus into cells. Direct CAP or CAP-activated medium (PAM) triggered rapid internalization and nuclear translocation of the virus receptor, ACE2, which began to return after 5 hours and was fully recovered by 12 hours. This was seen in vitro with both VERO-E6 cells and human mammary epithelial MCF10A cells, and in vivo. Hydroxyl radical (·OH) and species derived from its interactions with other species were found to be the most effective CAP components for triggering ACE2 nucleus translocation. The ERα/STAT3(Tyr705) and EGFR(Tyr1068/1086)/STAT3(Tyr705) axes were found to interact and collectively mediate the effects on ACE2 localization and expression.  
Conclusions: Our data support the use of PAM in helping control SARS-CoV-2 if developed into products for nose/mouth spray; an approach extendable to other viruses utilizing ACE2 for host entry.
关键字
cold atmospheric plasma;ACE2;COVID-19;regular epidemic control;computational prediction
报告人
戴晓峰
教授 江南大学

戴晓峰,江南大学教授。计算系统生物学博士、计量经济学博士,生物信息学硕士、分子生物学硕士。目前致力于低温常压等离子体精准与转化医学交叉研究。回国后以第一和/或通讯作者身份发表SCI论文83篇,影响因子之和554.764(总影响因子之和569.166),影响因子10以上SCI论文13篇(单篇最高31.281),ESI高被引3篇(单篇最高引用481次),均入选学术领域最优秀的1%之列,51篇中科院JCR分区一区、二区文章。主持国家自然科学基金面上项目2项,重大专项子课题任务1项,其他省部级和横向项目十余项。入选江苏省创双团队和江苏省六大人才高峰人才项目。以第一完成人身份授权国家发明专利4项、实用新型专利2项、外观设计专利3项、软件著作权10项。获得2018年中国商业联合会科学技术进步奖一等奖(排1)等。目前是中国系统生物学学会功能基因组学与系统生物学分会理事、江苏省生物医学工程学会生物信息学专业委员会理事、中国抗癌协会肿瘤标志物专业委员会委员、中国生物工程学会计算生物学与生物信息学专业委员会委员、中国人工智能协会会员、中国抗癌协会会员、中国化学学会会员、中国生物工程学会会员、江苏省生物化学与分子生物学会会员、无锡市工程师协会会员。

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