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Pedunculoside promotes oral ulcer healing in mice by upregulating STAT3 and Smad3
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作者 Lei Xiao Yan Gao +3 位作者 Lingling He xinyue luo Yang Xu Xiaobo Zeng 《Journal of dermatologic science and cosmetic technology》 2024年第2期9-16,共8页
Background:Pedunculoside(PE)is a pentacyclic triterpenoid saponin found in the dried barks of the Ilex rotunda Thunb.In traditional Chinese medicine,the juice extracted from various Ilex species is commonly used for t... Background:Pedunculoside(PE)is a pentacyclic triterpenoid saponin found in the dried barks of the Ilex rotunda Thunb.In traditional Chinese medicine,the juice extracted from various Ilex species is commonly used for treating inflammatory diseases.Objective:This study aims to investigate the potential of PE in promoting the healing of oral ulcers in mice and to explore its possible mechanism.Materials and Methods:A mouse model of oral ulcer was established to evaluate the healing promotion effects of PE,and an in-vitro inflammatory cell model was established by using primary fibroblasts isolated from mouse oral mucosal tissue.Gene transcription and protein expression related to cell proliferation,migration,and collagen synthesis were measured.Results:PE showed the highest cure rate of 85.7%for oral ulcers in mice within 7-days treatment.It significantly promoted cell proliferation and collagen secretion in fibroblast in-vitro model.PE also upregulated the gene transcription of Smad3,Col1a1 and Col3a1.Furthermore,PE antagonized the inhibitory effect of WP1066 on STAT3activation,but did not affect cell migration.Conclusion:This study demonstrates that PE has potential therapeutic effects in promoting oral ulcer healing in mice.The improvement was achieved by the increasing collagen synthesis through the upregulation of STAT3 and Smad3 in mucosa fibroblasts.These results provide a preliminary pharmacological work for developing PE as a potential treatment agent for oral ulcers. 展开更多
关键词 Pedunculoside Oral Ulcer Collagen synthesis STAT3 SMAD3
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基于一类时滞动力学系统对新型冠状病毒肺炎疫情的建模和预测 被引量:96
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作者 严阅 陈瑜 +4 位作者 刘可伋 罗心悦 许伯熹 江渝 程晋 《中国科学:数学》 CSCD 北大核心 2020年第3期385-392,共8页
2019年12月,新型冠状病毒肺炎(novel coronavirus pneumonia,NCP)疫情从武汉开始暴发,几天内迅速传播到全国乃至海外.科学有效地掌控疫情发展对疫情防控至关重要.本文基于全国各级卫生健康委员会每日公布的累计确诊数和治愈数,提出一类... 2019年12月,新型冠状病毒肺炎(novel coronavirus pneumonia,NCP)疫情从武汉开始暴发,几天内迅速传播到全国乃至海外.科学有效地掌控疫情发展对疫情防控至关重要.本文基于全国各级卫生健康委员会每日公布的累计确诊数和治愈数,提出一类基于时滞动力学系统的传染病动力学模型.在模型中引入时滞过程,用来描述病毒潜伏期和治疗周期.通过公布的疫情数据,首先准确反演模型的参数;其次有效地模拟目前疫情的发展,并预测疫情未来的趋势;最后分析各级政府防控措施手段的有效程度,并发现在现有的高效防控措施下,疫情将在近期好转. 展开更多
关键词 新型冠状病毒肺炎 时滞动力学模型 参数反演 疫情预测
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Multi-chain Fudan-CCDC model for COVID-19—a revisit to Singapore's case 被引量:1
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作者 Hanshuang Pan Nian Shao +5 位作者 Yue Yan xinyue luo Shufen Wang Ling Ye Jin Cheng Wenbin Chen 《Quantitative Biology》 CAS CSCD 2020年第4期325-335,共11页
Background:COVID-19 has been impacting on the whole world critically and constantly since late December 2019.Rapidly increasing infections has raised intense worldwide attention.How to model the evolution of COVID-19 ... Background:COVID-19 has been impacting on the whole world critically and constantly since late December 2019.Rapidly increasing infections has raised intense worldwide attention.How to model the evolution of COVID-19 effectively and efficiently is of great significance for prevention and control.Methods:We propose the multi-chain Fudan-CCDC model based on the original single-chain model in[Shao et al.2020]to describe the evolution of COVID-19 in Singapore.Multi-chains can be considered as the superposition of several single chains with different characteristics.We identify the parameters of models by minimizing the penalty function.Results:The numerical simulation results exhibit the multi-chain model performs well on data fitting.Though unsteady the increments are,they could still fall within the range of±30%fluctuation from simulation results.Conclusion:The multi-chain Fudan-CCDC model provides an effective way to early detect the appearance of imported infectors and super spreaders and forecast a second outbreak.It can also explain the data from those countries where the single-chain model shows deviation from the data. 展开更多
关键词 COVID-19 SINGAPORE multi-chain Fudan-CCDC model
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