ABSTRACT
The gut microbiome profile of COVID-19 patients was found to correlate with a viral load of SARS-CoV-2, COVID-19 severity, and dysfunctional immune responses, suggesting that gut microbiota may be involved in anti-infection. In order to investigate the role of gut microbiota in anti-infection against SARS-CoV-2, we established a high-throughput in vitro screening system for COVID-19 therapeutics by targeting the endoribonuclease (Nsp15). We also evaluated the activity inhibition of the target by substances of intestinal origin, using a mouse model in an attempt to explore the interactions between gut microbiota and SARS-CoV-2. The results unexpectedly revealed that antibiotic treatment induced the appearance of substances with Nsp15 activity inhibition in the intestine of mice. Comprehensive analysis based on functional profiling of the fecal metagenomes and endoribonuclease assay of antibiotic-enriched bacteria and metabolites demonstrated that the Nsp15 inhibitors were the primary bile acids that accumulated in the gut as a result of antibiotic-induced deficiency of bile acid metabolizing microbes. This study provides a new perspective on the development of COVID-19 therapeutics using primary bile acids.
ABSTRACT
Background: Education informatization is still in the early stage in China. The sudden outbreak of the COVID-19 pandemic led medical educators passively incorporating information technology for remote medical teaching, in which challenges and opportunities have co-existed.Objectives: The objectives of this study were to (1) explore the medical educators' perception and experience of online teaching in medical education before and after emergency remote teaching (ERT) experience during the COVID-19 pandemic; (2) illustrate the medical educators' satisfaction on the contribution of online teaching on medical teaching, and (3) reveal the main challenges medical educators met when they conduct the ERT during the COVID-19 epidemic, and to demonstrate whether the challenges are a different by age or gender including some other factors.Methods: A web-based questionnaire was disseminated to the faculty of medical education departments at higher institutions in China. The collected quantitative data of the questionnaire were analyzed by using the SPSS software package. Descriptive statistics were conducted on demographic data and the perception and experience of medical educators before and after the COVID-19 were shown as the frequencies and percentages, while the teachers' opinions on contribution of online teaching on medical education were analyzed by descriptive statistics with means and standard deviations. Multiple response analysis combined with crosstabulation chi-square test was applied, and a P-value <.05 was considered to be statistically significant to exams the relationship between age as well as gender and difficulties met in online teaching respectively.Results: A total of 26 medical educators (65.38%, n=17 female and 34.62%, n=9 male) were valid participants. Total 57.69% (n=15) of them had used web-based teaching before the COVID-19 pandemic, whereas 43.21% (n=11) had not. The agreement level on the teaching effect of online teaching was medium, with a mean value of 2.55 (range from 1-5). The first two difficulties medical teachers came across in online teaching were the web-based instructional design (27%), and the unfamiliarity with web-based teaching tools (25 %). No significant difference in the types of difficulties encountered by different ages (P=0.969) or gender (P = 0.873) in online teaching.Conclusions: The majority of medical educators are open-minded to incorporating online teaching into their teaching practice in the future. However, medical educators in China commonly faced shared difficulties when they adopted online teaching during the COVID-19 pandemic. Identify these challenges and proposing some relevant suggestions to promote a further increase in the active adoption of information technology in medical education.
Subject(s)
COVID-19ABSTRACT
Background: Both COVID-19 and influenza A contribute to increased mortality among the elderly and those with existing comorbidities. Changes in the underlying immune mechanisms determine patient prognosis. This study aimed to analyze the role of lymphocyte subsets in the immunopathogenesisof COVID-19 and severe influenza A, and examined the clinical significance of their alterations in the prognosis and recovery duration. Methods: : By retrospectively reviewing of patients in four groups (healthy controls, severe influenza A, non-severe COVID-19 and severe COVID-19) who were admitted to Ditan hospital between 2018 to 2020, we performed flow cytometric analysis and compared the absolute counts of leukocytes, lymphocytes, and lymphocyte subsets of the patients at different time points (weeks 1- 4). Results: : We reviewed the patients’ data of 94 healthy blood donors, 80 Non-severe-COVID-19, 19 Severe-COVID-19 and 37 severe influenza A. We found total lymphocytes (0.81 ×10 9 /L vs 1.74 ×10 9 /L, P = 0.001; 0.87 ×10 9 /L vs 1.74 ×10 9 /L, P < 0.0001, respectively) and lymphocyte subsets (T cells, CD4 + and CD8 + T cell subsets) of severe COVID-19 and severe influenza A patients to be significantly lower than those of healthy donors at early infection stages. Further, significant dynamic variations were observed at different time points (weeks 1–4). Conclusions: : Our study suggests the plausible role of lymphocyte subsets in disease progression, which in turn affects prognosis and recovery duration in patients with severe COVID-19 and influenza A.
Subject(s)
COVID-19 , Influenza, HumanABSTRACT
BackgroundBoth COVID-19 and influenza A contribute to increased mortality among the elderly and those with existing comorbidities. Changes in the underlying immune mechanisms determine patient prognosis. This study aimed to analyze the role of lymphocyte subsets in the immunopathogenesisof COVID-19 and severe influenza A, and examined the clinical significance of their alterations in the prognosis and recovery duration. MethodsBy retrospectively reviewing of patients in four groups (healthy controls, severe influenza A, non-severe COVID-19 and severe COVID-19) who were admitted to Ditan hospital between 2018 to 2020, we performed flow cytometric analysis and compared the absolute counts of leukocytes, lymphocytes, and lymphocyte subsets of the patients at different time points (weeks 1- 4). ResultsWe reviewed the patients data of 110 healthy blood donors, 80 Non-severe-COVID-19, 19 Severe-COVID-19 and 43 severe influenza A. We found total lymphocytes (0.93 x109/L, 0.84 x109/L vs 1.78 x109/L, P < 0.0001) and lymphocyte subsets (T cells, CD4+ and CD8+ T cell subsets) of both severe patients to be significantly lower than those of healthy donors at early infection stages. Further, significant dynamic variations were observed at different time points (weeks 1-4). ConclusionsOur study indicates lymphopenia to be associated with disease severity and suggests the plausible role of lymphocyte subsets in disease progression, which in turn affects prognosis and recovery duration in patients with severe COVID-19 and influenza A.