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The coronavirus disease of 2019 (COVID-19), a global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can result in severe health complications. In addition to physical preventative measures, pharmaceutical intervention is also crucial. Numerous natural products from medicinal fungi have shown promise as potential antiviral drugs and may serve as a source of effective components with antiviral activity against SARS-CoV-2 and other coronaviruses. In this study, we developed a workflow that integrates viral infection inhibition assays at both cellular and molecular levels, as well as molecular separation and characterization, to screen and identify natural products with antiviral activity. Using this workflow, we screened 167 extracts extracted from 36 medicinal fungi using optimized extraction methods. We assessed the antiviral effects of these extracts by measuring their ability to inhibit SARS-CoV-2 infection and receptor binding domain - human angiotensin-converting enzyme 2 (RBD-hACE2) binding in vitro. Following charge- and size-based characterization of the active compounds through filtration and chromatographic fractionation, mass spectrometry characterization of the fractionated compounds revealed that the active components are polysaccharides and determined their monosaccharide residue composition. Our findings provide new insights into the antiviral potential of natural products and their screening strategies and may contribute to the development of effective antiviral therapeutics against COVID-19 and other diseases.

We analyzed variations in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome during a flight-related cluster outbreak of coronavirus disease 2019 (COVID-19) in Shenzhen, China, to explore the characteristics of SARS-CoV-2 transmission and intra-host single nucleotide variations (iSNVs) in a confined space. Thirty-three patients with COVID-19 were sampled, and 14 were resampled 3–31 days later. All 47 nasopharyngeal swabs were deep-sequenced. iSNVs and similarities in the consensus genome sequence were analyzed. Three SARS-CoV-2 variants of concern, Delta (n = 31), Beta (n = 1), and C.1.2 (n = 1), were detected among the 33 patients. The viral genome sequences from 30 Delta-positive patients had similar SNVs; 14 of these patients provided two successive samples. Overall, the 47 sequenced genomes contained 164 iSNVs. Of the 14 paired (successive) samples, the second samples (T2) contained more iSNVs (median: 3; 95% confidence interval [95% CI]: 2.77–10.22) than did the first samples (T1; median: 2; 95% CI: 1.63–3.74; Wilcoxon test, P = 0.021). 38 iSNVs were detected in T1 samples, and only seven were also detectable in T2 samples. Notably, T2 samples from two of the 14 paired samples had additional mutations than the T1 samples. The iSNVs of the SARS-CoV-2 genome exhibited rapid dynamic changes during a flight-related cluster outbreak event. Intra-host diversity increased gradually with time, and new site mutations occurred in vivo without a population transmission bottleneck. Therefore, we could not determine the generational relationship from the mutation site changes alone.

Upper respiratory tract samples are the most commonly used samples for coronavirus disease 2019 (COVID-19) diagnosis. The samples collected from the nasopharynx are preferred for viral nucleic acids detection. Commercial nasopharyngeal swabs (NPSs) are the major factor that influences the sampling quality. We here evaluated the acceptability and efficiency of NPSs from five manufacturers by examining the concentration of glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) retrieved from the swabs using the RT-PCR method. Significant different concentrations of GAPDH were detected, ranged from 4.36 × 108 copies/mL to 6.98 × 1010 copies/mL among the five swabs (p

Severe pneumonia in patients infected with the 2009 pandemic H1N1 (pH1N1) virus was partially attributed to excessive immune response. Anti-virus treatment for these patients was insufficient. Here we reported the therapy effect of sirolimus, an immunosuppressor, combined with oseltamivir and corticosteroid for a puerpera with severe pneumonia caused by pH1N1 virus. This patient has infected with the pH1N1 virus in late pregnancy, and antiviral therapy was not implemented timely. She developed severe pneumonia and ARDS rapidly and need receive a cesarean section on the 39th week after pregnancy. After giving birth to a healthy baby, she received a combination of oseltamivir, sirolimus and corticosteroid, and improved in the following days. Moreover, the cytokines in serum and viral loads in BALF decreased significantly. She recovered without infectious symptoms and was discharged. Sirolimus combined with oseltamivir and corticosteroid is likely responsible for lowering the viral loads, reducing the patient's cytokine level, and further improving her clinical outcomes. It provides evidence that adjuvant treatment was beneficial to patients with severe pneumonia induced by the pH1N1 virus.

Many factors have been identified as having the ability to affect the sensitivity of rapid antigen detection (RAD) tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to identify the impact of sample processing on the sensitivity of the RAD tests. We explored the effect of different inactivation methods, viral transport media (VTM) solutions, and sample preservation on the sensitivity of four RAD kits based on two SARS-CoV-2 strains. Compared with non-inactivation, heat inactivation significantly impacted the sensitivity of most RAD kits; however, β-propiolactone inactivation only had a minor effect. Some of the VTM solutions (VTM2, MANTACC) had a significant influence on the sensitivity of the RAD kits, especially for low viral-loads samples. The detection value of RAD kits was slightly decreased, while most of them were still in the detection range with the extension of preservation time and the increase of freeze–thaw cycles. Our results showed that selecting the appropriate inactivation methods and VTM solutions is necessary during reagent development, performance evaluation, and clinical application.

The outbreak of coronavirus disease 2019 (COVID-19) in Wuhan, China, was caused by a novel coronavirus (CoV), named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The rapid detection of viral nucleic acids is critical for the early identification of infected cases. We have developed two TaqMan real-time reverse transcription-PCR assays to detect SARS-CoV-2. The designed primers target the nucleocapsid (N) and open reading frame (ORF) 1b gene regions, where the probes discriminate SARS-CoV-2 from other human and animal CoVs. The sensitivities are one genomic copy per reaction for the N gene assay and ten copies for the ORF 1b gene assay. The overall linear detection ranges are 1–106 and 10–106 copies per reaction for the N gene assay and the ORF 1b gene assay, respectively. Surveillance of 23 suspected COVID-19 patients demonstrated that SARS-CoV-2 could be detected from 100% (23/23) and 62.5% (16/23) of clinical specimens by the N gene assay and the ORF 1b gene assay, respectively. All of the samples not detected by the ORF 1b gene assay were throat swabs, indicating a lower viral load in the upper respiratory tract and the relatively lower sensitivity of the ORF 1b gene assay. The assays developed in the present study offer alternative diagnostic tests for COVID-19.

The surveillance and prevention of pathogenic microbiological contamination are the most important tasks of biosafety management in the lab. There is an urgent need to establish an effective and unbiased method to evaluate and monitor such contamination. This study aims to investigate the utility of next generation sequencing (NGS) method to detect possible contamination in the microbiology laboratory. Environmental samples were taken at multiple sites at the lab including the inner site of centrifuge rotor, the bench used for molecular biological tests, the benches of biosafety cabinets used for viral culture, clinical sample pre-treatment and nucleic acids extraction, by scrubbing the sites using sterile flocked swabs. The extracted total nucleic acids were used to construct the libraries for deep sequencing according to the protocol of Ion Torrent platform. At least 1G raw data was obtained for each sample. The reads of viruses and bacteria accounted for 0.01 ± 0.02%, and 77.76 ± 12.53% of total reads respectively. The viral sequences were likely to be derived from gene amplification products, the nucleic acids contaminated in fetal bovine serum. Reads from environmental microorganisms were also identified. Our results suggested that NGS method was capable of monitoring the nucleic acids contaminations from different sources in the lab, demonstrating its promising utility in monitoring and assessing the risk of potential laboratory contamination. The risk of contamination from reagents, remnant DNA and environment should be considered in data analysis and results interpretation.