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1.
Preprint en Inglés | bioRxiv | ID: ppbiorxiv-293035

RESUMEN

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly become a global public health threat due to the lack of effective drugs or vaccines against SARS-CoV-2. The efficacy of several repurposed drugs has been evaluated in clinical trials. Among these drugs, a relatively new antiandrogen agent, enzalutamide, was proposed because it reduces the expression of transmembrane serine protease 2 (TMPRSS2), a key component mediating SARS-CoV-2-driven entry into host cells, in prostate cancer cells. However, definitive evidence for the therapeutic efficacy of enzalutamide in COVID-19 is lacking. Here, we evaluated the antiviral efficacy of enzalutamide in prostate cancer cells, lung cancer cells, human lung organoids and SARS-CoV-2-infected Ad-ACE2-transduced Tmprss2 knockout (Tmprss2-KO) and wild-type (WT) mice. TMPRSS2 knockout significantly inhibited SARS-CoV-2 infection in vivo. Enzalutamide effectively inhibited SARS-CoV-2 infection in human prostate cancer cells (LNCaP) but not in human lung cancer cells or patient-derived lung organoids. Although Tmprss2 knockout effectively blocked SARS-CoV-2 infection in ACE2-transduced mice, enzalutamide showed no antiviral activity due to the AR independence of TMPRSS2 expression in mouse and human lung epithelial cells. Moreover, we observed distinct AR binding patterns between prostate cells and lung cells and a lack of direct binding of AR to TMPRSS2 in human lung cells. Thus, our findings do not support the postulated protective role of enzalutamide in treating COVID-19.

2.
Artículo en Chino | WPRIM (Pacífico Occidental) | ID: wpr-555341

RESUMEN

Four macro SAS instructions of covariance analysis are worked out, and a statistical table of covariance analysis is produced with the operation of macro SAS in this paper.

3.
Artículo en Chino | WPRIM (Pacífico Occidental) | ID: wpr-679193

RESUMEN

The CHISS statistical software which has its own copyright protection in China is applied to the teaching in medical statistical. A questionnaire was carried out among 135 applicants after they had learnt the modern statistical method for 18 teaching hours and practiced on computers with CHISS for 6 teaching hours. Those applicants gave out the evaluations: CHISS has the character of convenient and visual demonstration. It can meet the needs of medical statistical teaching and doing research.

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