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SARS-CoV-2 continues to evolve, while the decline in clinical sequencing efforts hampers public health sectors to prepare for the menace of ongoing variant emergence and future COVID-19 surges.1 Wastewater-based epidemiology (WBE) has been proposed to provide complementary insights on the variants being transmitted in communities.2 However, limited research has been dedicated to the use sequencing methods for tracking disease prevalence and variant dynamics in wastewater, particularly on a large scale. Here, we employed a tiling amplicon sequencing to track the dynamics of variant of concern (VOC) in wastewater collected from Queensland, Australia from 2020 to 2022. RNA concentrations in wastewater measured by ATOPlex showed a stronger correlation and greater consistency with the number of daily new cases than a PCR-based method. The VOC dynamics observed in wastewater were largely in line with clinical reports. These findings support that WBE and sensitive sequencing methods can serve as a long-term approach for disease surveillance, thus aiding in disease outbreak prevention, control, and management.
Subject(s)
COVID-19ABSTRACT
Variations in DNA methylation patterns in human tissues have been linked to various environmental exposures and infections. Here, we identified the DNA methylation signatures associated with multiple exposures in nine major immune cell types derived from peripheral blood mononuclear cells (PBMCs) at single-cell resolution. We performed methylome sequencing on 111,180 immune cells obtained from 112 individuals who were exposed to different viruses, bacteria, or chemicals. Our analysis revealed 790,662 differentially methylated regions (DMRs) associated with these exposures, which are mostly individual CpG sites. Additionally, we integrated methylation and ATAC-seq data from same samples and found strong correlations between the two modalities. However, the epigenomic remodeling in these two modalities are complementary. Finally, we identified the minimum set of DMRs that can predict exposures. Overall, our study provides the first comprehensive dataset of single immune cell methylation profiles, along with unique methylation biomarkers for various biological and chemical exposures.
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Towards the end of 2019, a novel coronavirus pneumonia (coronavirus disease 19, COVID-19) caused by SARS-CoV-2 infection emerged in Wuhan. The SARS-CoV-2 virus quickly spread across the globe, seriously affecting public health and economic development of countries worldwide. Currently, antiviral drugs developed for COVID-19 lack strong clinical trial support and the high mutation rate of the virus causes difficulties in vaccine development, thus a complex and delayed large scale role out of an efficacious vaccine. Traditional Chinese medicine (TCM) has been used for treating various conditions for thousands of years and has a unique systems theory. It can be individualized into specific therapeutic regimens according to the patients' physical condition, clinical symptoms, and other distinguishing factors. In addition, TCM often has different effects at different disease stages, thus contributing to disease prevention, treatment, and rehabilitation. Existing evidence shows that TCM has efficacy in the treatment of COVID-19. The active ingredients of TCM have various pharmacological properties, including antiviral, anti-inflammatory, and immunomodulatory activity, with clinical trials showing that these prescriptions reduce symptoms of COVID-19, promote viral clearance, and ultimately improve survival in infected patients. This article discusses the advantages and mechanisms of TCM in the treatment of COVID-19, hoping to provide a reference platform in the fight against the disease. [ FROM AUTHOR] Copyright of Traditional Medicine Research is the property of TMR Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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We propose a generalization of the synthetic control method to a multiple-outcome framework, which improves the reliability of treatment effect estimation. This is done by supplementing the conventional pre-treatment time dimension with the extra dimension of related outcomes in computing the synthetic control weights. Our generalization can be particularly useful for studies evaluating the effect of a treatment on multiple outcome variables. To illustrate our method, we estimate the effects of non-pharmaceutical interventions (NPIs) on various outcomes in Sweden in the first 3 quarters of 2020. Our results suggest that if Sweden had implemented stricter NPIs like the other European countries by March, then there would have been about 70% fewer cumulative COVID-19 infection cases and deaths by July, and 20% fewer deaths from all causes in early May, whereas the impacts of the NPIs were relatively mild on the labor market and economic outcomes.
Subject(s)
COVID-19 , DeathABSTRACT
Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants of concern (VOCs). This platform, which was referred to as CALIBURN-v2, could complete the diagnosis on extracted RNA samples within 25 min in a closed-lid reaction mode and had 100-fold increase in detection sensitivity in comparison with previous platforms. Most importantly, by integrating a portable device and smartphone user interface, CALIBURN-v2 allowed for cloud server-based data collection and management, thus transforming the point-of-care testing (POCT) platform to internet of medical things (IoMT) applications. It was found that IoMT-enabled CALIBURN-v2 could achieve 95.56% (172 out of 180) sensitivity for SARS-CoV-2 wild type and 94.38% (84 out of 89) overall sensitivity for SARS-CoV-2 variants including Delta and Omicron strains. Therefore, our study provides a feasible approach for IoMT-enabled CRISPR diagnostics for the detection of SARS-CoV-2 VOCs.
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We propose and test the incentive view—that the margin call pressure and ownership-control discrepancy associated with insider share pledging increase investors’ perceived risk, and thus also the cost of equity capital, in an emerging market. Using a controlling shareholder share pledging sample for Chinese listed firms, we find that firms with share pledging have a cost of equity capital that is 23.7 basis points higher than firms without share pledging. Further, share pledging increases the cost of equity capital through the information risks and agency conflicts channels. Cross-sectional analyses show that share pledging has a stronger effect on the cost of equity capital in non-state-owned enterprises, firms without monitoring of multiple large shareholders, firms with controlling shareholders assuming the position of chairperson, and firms with a weak institutional environment. In addition, using the global financial crisis and the outbreak of the coronavirus (COVID-19) as quasi-natural experiments, we disentangle the potential confounding effect of firm fundamentals and show that share pledging is positively associated with the cost of equity capital. Overall, the results are consistent with our incentive view that share pledging increases the cost of equity capital in an emerging market.
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Infectious bronchitis virus (IBV) poses massive economic losses in the global poultry industry. Here, we firstly report the construction and immunogenicity comparison of virus-like particles (VLPs) carrying the S, M and E proteins (SME-VLPs); VLPs carrying the S and M proteins (SM-VLPs); and VLPs carrying the M and E proteins (ME-VLPs) from the dominant serotype representative strain GX-YL5 in China. The neutralizing antibody response induced by the SME-VLPs was similar to that induced by the inactivated oil vaccine (OEV) of GX-YL5, and higher than those induced by the SM-VLPs, ME-VLPs and commercial live vaccine H120. More importantly, the SME-VLPs elicited higher percentages of CD4+ and CD8+ T lymphocytes than the SM-VLPs, ME-VLPs and OEV of GX-YL5. Compared with the OEV of GX-YL5, higher levels of IL-4 and IFN-γ were also induced by the SME-VLPs. Moreover, the mucosal immune response (sIgA) induced by the SME-VLPs in the tear and oral swabs was comparable to that induced by the H120 vaccine and higher than that induced by the OEV of GX-YL5. In the challenge experiment, the SME-VLPs resulted in significantly lower viral RNA levels in the trachea and higher protection scores than the OEV of GX-YL5 and H120 vaccines, and induced comparable viral RNA levels in the kidneys, and tear and oral swabs to the OEV of GX-YL5. In summary, among the three VLPs, the SME-VLPs carrying the S, M and E proteins of IBV could stimulate the strongest humoral, cellular and mucosal immune responses and provide effective protection, indicating that it would be an attractive vaccine candidate for IB.
ABSTRACT
BACKGROUND: The outbreak of a novel coronavirus (2019-nCoV)-infected pneumonia is currently ongoing all over the world. The treatment scheme is generally isolation treatment and symptomatic support treatment. While the majority of patients recover from this disease through methods above, COVID-19 Infection severely affect the physical and mental health of rehabilitation patients, as well as their living quality. Thus, meditative movement is needed to improve outcome of COVID-19 patients in recovery period. METHODS: We will conduct systematic searches to identify all relevant studies without any language limitation from the following electronic databases from inception to October 2020: Medline, Ovid, PubMed, Embase, Cochrane Library, Google Scholar, China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals Database (VIP), Chinese Biomedical Database, Chinese Biomedical Literature Service System and Wan fang Database. At the same time, we will search the following Clinical trial registries to identify records of on-going or completed but not yet published trials, including WHO International Clinical Trials Registry Platform (ICTRP), Trials Register of Promoting Health Interventions (TRoPHI) and Chinese Clinical Trial Registry (ChiCTR). No limits will be placed on language. The article will study the effect of meditative movement on the quality of life of convalescent patients. The main outcome will be the effect of meditative movement on the quality of life of patients in recovery period. The secondary results will select accompanying symptoms (including myalgia, cough, sputum, runny nose, pharyngalgia, anhelation, chest distress, nausea, vomiting, anorexia, diarrhea), disappearance rate, negative COVID-19 results rate on 2 consecutive occasions (not on the same day), the quality of life improved, CT image improvement, average hospitalization time, occurrence rate of common type to severe form, clinical cure rate, and mortality. Data collection and management 3 authors will independently carry out data from eligible studies in a pretested and standardized Microsoft Excel sheet, with reciprocal validation of data extraction results. Data analysis and quantitative data synthesis will be performed using RevMan software (V.5.3). RESULTS: The findings of the study will provide new and relatively high-quality evidence in meditative movement treatment for COVID-19. CONCLUSION: The conclusion of systematic review will provide evidence to judge whether meditative movement is an effective intervention for patient with COVID-19 in recovery period. PROSPERO REGISTRATION NUMBER: CRD42020210256.
Subject(s)
Betacoronavirus , Coronavirus Infections/rehabilitation , Exercise Movement Techniques/methods , Meditation/methods , Pneumonia, Viral/rehabilitation , Quality of Life , COVID-19 , Coronavirus Infections/psychology , Female , Humans , Male , Meta-Analysis as Topic , Pandemics , Pneumonia, Viral/psychology , Research Design , SARS-CoV-2 , Systematic Reviews as Topic , Treatment OutcomeABSTRACT
OBJECTIVE: To select potential molecules that can target viral spike proteins, which may potentially interrupt the interaction between the human angiotension-converting enzyme 2 (ACE2) receptor and viral spike protein by virtual screening. METHODS: The three-dimensional (3D)-coordinate file of the receptor-binding domain (RBD)-ACE2 complex for searching a suitable docking pocket was firstly downloaded and prepared. Secondly, approximately 15,000 molecular candidates were prepared, including US Food and Drug Administration (FDA)-approved drugs from DrugBank and natural compounds from Traditional Chinese Medicine Systems Pharmacology (TCMSP), for the docking process. Then, virtual screening was performed and the binding energy in Autodock Vina was calculated. Finally, the top 20 molecules with high binding energy and their Chinese medicine (CM) herb sources were listed in this paper. RESULTS: It was found that digitoxin, a cardiac glycoside in DrugBank and bisindigotin in TCMSP had the highest docking scores. Interestingly, two of the CM herbs containing the natural compounds that had relatively high binding scores, Forsythiae fructus and Isatidis radix, are components of Lianhua Qingwen (), a CM formula reportedly exerting activity against severe acute respiratory syndrome (SARS)-Cov-2. Moreover, raltegravir, an HIV integrase inhibitor, was found to have a relatively high binding score. CONCLUSIONS: A class of compounds, which are from FDA-approved drugs and CM natural compounds, that had high binding energy with RBD of the viral spike protein. Our work provides potential candidates for other researchers to identify inhibitors to prevent SARS-CoV-2 infection, and highlights the importance of CM and integrative application of CM and Western medicine on treating COVID-19.