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1.
Journal of Pharmaceutical Research ; 39(2):63-73, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-1478499

ABSTRACT

The treatment of 2019 novel coronavirus (COVID-19) pneumonia is imminent. What is worrying is that there is currently no clear drug on the market that can prevent or treat it. The antimalarial drug chloroquine has been used clinically for more than 70 years with high safety. Recent studies have shown that chloroquine can inhibit the activity of a variety of viruses, and is likely to become a potential drug for the treatment of COVID-19 pneumonia. Based on the PubMed database, here is a summary of the antiviral research of chloroquine in recent years and a discussion about the feasibility and strategy of using chloroquine against COVID-19, with an overview of the current development of new anti-COVID-19 drugs or the clinical treatment of COVID-19 pneumonia strategies that could provide useful help.

2.
Cell ; 184(10): 2618-2632.e17, 2021 05 13.
Article in English | MEDLINE | ID: covidwho-1157174

ABSTRACT

The ongoing pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently affecting millions of lives worldwide. Large retrospective studies indicate that an elevated level of inflammatory cytokines and pro-inflammatory factors are associated with both increased disease severity and mortality. Here, using multidimensional epigenetic, transcriptional, in vitro, and in vivo analyses, we report that topoisomerase 1 (TOP1) inhibition suppresses lethal inflammation induced by SARS-CoV-2. Therapeutic treatment with two doses of topotecan (TPT), an FDA-approved TOP1 inhibitor, suppresses infection-induced inflammation in hamsters. TPT treatment as late as 4 days post-infection reduces morbidity and rescues mortality in a transgenic mouse model. These results support the potential of TOP1 inhibition as an effective host-directed therapy against severe SARS-CoV-2 infection. TPT and its derivatives are inexpensive clinical-grade inhibitors available in most countries. Clinical trials are needed to evaluate the efficacy of repurposing TOP1 inhibitors for severe coronavirus disease 2019 (COVID-19) in humans.


Subject(s)
COVID-19 Drug Treatment , DNA Topoisomerases, Type I/metabolism , SARS-CoV-2/metabolism , Topoisomerase I Inhibitors/pharmacology , Topotecan/pharmacology , Animals , COVID-19/enzymology , COVID-19/pathology , Chlorocebus aethiops , Humans , Inflammation/drug therapy , Inflammation/enzymology , Inflammation/pathology , Inflammation/virology , Mesocricetus , Mice , Mice, Transgenic , THP-1 Cells , Vero Cells
3.
IEEE Trans Big Data ; 7(1): 81-92, 2021 Mar 01.
Article in English | MEDLINE | ID: covidwho-1138050

ABSTRACT

Country image has a profound influence on international relations and economic development. In the worldwide outbreak of COVID-19, countries and their people display different reactions, resulting in diverse perceived images among foreign public. Therefore, in this article, we take China as a specific and typical case and investigate its image with aspect-based sentiment analysis on a large-scale Twitter dataset. To our knowledge, this is the first study to explore country image in such a fine-grained way. To perform the analysis, we first build a manually-labeled Twitter dataset with aspect-level sentiment annotations. Afterward, we conduct the aspect-based sentiment analysis with BERT to explore the image of China. We discover an overall sentiment change from non-negative to negative in the general public, and explain it with the increasing mentions of negative ideology-related aspects and decreasing mentions of non-negative fact-based aspects. Further investigations into different groups of Twitter users, including U.S. Congress members, English media, and social bots, reveal different patterns in their attitudes toward China. This article provides a deeper understanding of the changing image of China in COVID-19 pandemic. Our research also demonstrates how aspect-based sentiment analysis can be applied in social science researches to deliver valuable insights.

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