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Int J Disaster Risk Reduct ; 74: 102928, 2022 May.
Article in English | MEDLINE | ID: covidwho-1763752


Introduction: The 2019 coronavirus disease (COVID-19) pandemic has burdened and threatened the psychological health of people around the world, especially those of front-line medical staff. This study aimed to explore the mental-health status and its associated factors amongst the medical workforce of Xinjiang province under the normalisation of the COVID-19 epidemic prevention and control. Methods: A total of 408 medical staff were recruited from February 20 to March 10, 2021. Symptom Checklist 90 (SCL-90) scale, Social support Scale, and Simplified Coping-Style Questionnaire were applied to assess their mental-health status and stress-coping tendency. Descriptive analyses, welch's T-test, chi-square test, and binary logistic regression were used to analyse the data. Results: The prevalence of mental-health problems was 20.25% (80/395) amongst the surveyed medical staff, and their total symptom mean score (1.31 ± 0.40) was lower than that of the general population (1.44 ± 0.43). Logistic regression analysis revealed that nurse, individual with poor health condition, those who lived with their elderly parents at home, those receiving less social support, and those with a negative stress-coping style were more likely to show psychological problems. Conclusion: More attention should be paid to the mental state of the medical workforce during the COVID-19 pandemic. The government and professional institutes should facilitate social supportive activities and essential counselling services to help strengthen the psychological resilience of medical staff. Additionally, it is necessary for health administration committee and hospitals to make COVID-19 prevention practice guides and risk communication principles for improving the mental health of the front-line medical staff.

Engineering (Beijing) ; 2021 Jun 26.
Article in English | MEDLINE | ID: covidwho-1284079


Many microorganisms have mechanisms that protect cells against attack from viruses. The fermentation components of Streptomyces sp. 1647 exhibit potent anti-influenza A virus (IAV) activity. This strain was isolated from soil in southern China in the 1970s, but the chemical nature of its antiviral substance(s) has remained unknown until now. We used an integrated multi-omics strategy to identify the antiviral agents from this streptomycete. The antibiotics and Secondary Metabolite Analysis Shell (antiSMASH) analysis of its genome sequence revealed 38 biosynthetic gene clusters (BGCs) for secondary metabolites, and the target BGCs possibly responsible for the production of antiviral components were narrowed down to three BGCs by bioactivity-guided comparative transcriptomics analysis. Through bioinformatics analysis and genetic manipulation of the regulators and a biosynthetic gene, cluster 36 was identified as the BGC responsible for the biosynthesis of the antiviral compounds. Bioactivity-based molecular networking analysis of mass spectrometric data from different recombinant strains illustrated that the antiviral compounds were a class of structural analogues. Finally, 18 pseudo-tetrapeptides with an internal ureido linkage, omicsynins A1-A6, B1-B6, and C1-C6, were identified and/or isolated from fermentation broth. Among them, 11 compounds (omicsynins A1, A2, A6, B1-B3, B5, B6, C1, C2, and C6) are new compounds. Omicsynins B1-B4 exhibited potent antiviral activity against IAV with the 50% inhibitory concentration (IC50) of approximately 1 µmol∙L-1 and a selectivity index (SI) ranging from 100 to 300. Omicsynins B1-B4 also showed significant antiviral activity against human coronavirus HCoV-229E. By integrating multi-omics data, we discovered a number of novel antiviral pseudo-tetrapeptides produced by Streptomyces sp. 1647, indicating that the secondary metabolites of microorganisms are a valuable source of novel antivirals.