Linking sporadic hospital clusters during a community surge of the severe acute respiratory coronavirus virus 2 (SARS-CoV-2) B.1.617.2 delta variant: The utility of whole-genome sequencing.

Sporadic clusters of healthcare-associated coronavirus disease 2019 (COVID-19) occurred despite intense rostered routine surveillance and a highly vaccinated healthcare worker (HCW) population, during a community surge of the severe acute respiratory coronavirus virus 2 (SARS-CoV-2) B.1.617.2 δ (delta) variant. Genomic analysis facilitated timely cluster detection and uncovered additional linkages via HCWs moving between clinical areas and among HCWs sharing a common lunch area, enabling early intervention.

Evaluation of In Vitro and In Vivo Antiviral Activities of Vitamin D for SARS-CoV-2 and Variants.

The COVID-19 pandemic has brought about unprecedented medical and healthcare challenges worldwide. With the continual emergence and spread of new COVID-19 variants, four drug compound libraries were interrogated for their antiviral activities against SARS-CoV-2. Here, we show that the drug screen has resulted in 121 promising anti-SARS-CoV-2 compounds, of which seven were further shortlisted for hit validation: citicoline, pravastatin sodium, tenofovir alafenamide, imatinib mesylate, calcitriol, dexlansoprazole, and prochlorperazine dimaleate. In particular, the active form of vitamin D, calcitriol, exhibits strong potency against SARS-CoV-2 on cell-based assays and is shown to work by modulating the vitamin D receptor pathway to increase antimicrobial peptide cathelicidin expression. However, the weight, survival rate, physiological conditions, histological scoring, and virus titre between SARS-CoV-2 infected K18-hACE2 mice pre-treated or post-treated with calcitriol were negligible, indicating that the differential effects of calcitriol may be due to differences in vitamin D metabolism in mice and warrants future investigation using other animal models.

Exploration of Factors Influencing Nurses' Preparedness and Response to the COVID-19 Outbreak.

Introduction and Objective: Nurses as the core of the health care workforce affect an organization's preparedness and response. This study explores the factors and unique determinants influencing nurses' preparedness and response to the coronavirus disease 2019 (COVID-19) outbreak in Singapore. Methods: This qualitative phenomenological study utilized purposive sampling and in-depth interviews with 10 registered nurses and two enrolled nurses who had worked or were still working in an infectious disease (ID) hospital during the COVID-19 outbreak at the point of recruitment. The data were collected from September 2020 to December 2020. Results: (1) Before the outbreak: Factors such as knowledge, skills, and experiences that enhanced nurses' adaptability and response through training and exposure prior to the outbreak influenced preparedness. In addition, the importance of nurses' knowing their purpose and the role of their institute during the outbreak also influenced preparedness. (2) The COVID-19 phase: Factors such as the novelty of the disease, communication, load and demand, and coping mechanisms affected participants' working response to the outbreak. (3) Learning and looking forth: Lessons learnt to enhance preparedness and response to future outbreaks, and positive sentiments as part of the nation's effort to combat the disease. Conclusion: Ground nurses should be actively involved in outbreak planning to gain a better view of their responsibilities and unpredictable events that may occur. A transparent and bidirectional communication among management and nurses is crucial amidst rapid changes in an outbreak to strike a balance between the needs of nurses and leadership and to enhance nurses' resilience throughout this challenging journey.

The relationship between perceived organizational support and insomnia in Chinese nurses: The Serial multiple mediation analysis.

Background: Nurses are in high-pressure, high-load, and high-risk environment for a long time, and their insomnia cannot be ignored. Insomnia not only has a negative impact on the physical and mental health of nurses, but also on the efficiency and quality of nursing work. Objective: The purpose of this study was to investigate the multiple mediating effect of psychological capital, effort-reward ratio, and overcommitment in the relationship between perceived organizational support and insomnia among Chinese nurses. Methods: A cross-sectional study has been carried out in a tertiary grade A hospital in Shandong Province, China from March 2021 to May 2021. The demographic questionnaire, Perceived Organization Support Questionnaire, Psychological Capital Questionnaire, Chinese version Effort-Reward Imbalance, Questionnaire and Athens Insomnia Scale were used for data collection. SPSS PROCESS 3.4 macro program developed by Hayes was used to test the serial multiple mediation. Descriptive analysis, independent-samples t-test, one-way analysis of variance, Pearson's correlation analyses, ordinary least-squares regression, and the bootstrap method were used for data analysis. Results: 658 valid questionnaires were collected (81.2%). Nurses' perceived organizational support was positively correlated with psychological capital (r = 0.455, p < 0.001), and was significantly negatively correlated with effort-reward ratio (r = -0.318, p < 0.001), overcommitment (r = -0.328, p < 0.001), and insomnia (r = -0.358, p < 0.001); Psychological capital was negatively correlated with effort-reward ratio (r = -0.275, p < 0.001), overcommitment (r = -0.339, p < 0.001), and insomnia (r = -0.402, p < 0.001), respectively; effort-reward ratio and overcommitment were significantly positively correlated with insomnia (r = 0.379, p < 0.001; r = 0.466, p < 0.001), respectively. In the model of perceived organizational support-psychological capital-effort-reward ratio-insomnia, the overall mediating effect was -0.080 (95%CI: -0.109 ~ -0.058), and the mediating effect of psychological capital was -0.050, accounting for 34.30% of the total effect; the mediating effect of effort-reward ratio was -0.024, accounting for 16.49% of the total effect; the chain mediating effect of psychological capital and effort-reward ratio was -0.007, accounting for 4.49% of the total effect. In the model of perceived organizational support-psychological capital-overcommitment-insomnia, the overall mediating effect was -0.085 (95%CI: -0.109 ~ -0.064), and the mediating effect of psychological capital was -0.042, accounting for 28.64% of the total effect; the mediating effect of overcommitment was -0.029, accounting for 19.81% of the total effect; the chain mediating effect of psychological capital and overcommitment was -0.015, accounting for 10.14% of the total effect. Conclusion: Perceived organizational support had direct negative influence on insomnia. Psychological capital and effort-reward ratio/overcommitment acted as chained mediating factor could partially relieve insomnia symptoms related to perceived organizational support. It is suggested to improve the level of organizational support and psychological capital of nurses, and reduce the effort-reward imbalance and overcommitment of nurses, so as to effectively decline and deal with nurses' insomnia.

Precautions against COVID-19 reduce respiratory virus infections among children in Southwest China.

Acute respiratory tract infections pose a serious threat to the health of children worldwide, with viral infections representing a major etiology of this type of disease. Protective measures such as mask-wearing, social distancing, and hand hygiene can be effective in curbing the spread of severe acute respiratory syndrome coronavirus 2. These precautions may also have an impact on the spread of other respiratory viruses. In this study, we retrospectively compared the respiratory virus infections of children in Southwest China before and after the outbreak of COVID-19. Nasopharyngeal swabs were collected from 1578 patients under 14 years old with acute respiratory tract infection symptoms before and after COVID-19 pandemic. Nine common respiratory viruses including human bocavirus, human rhinoviruses, human coronaviruses, human adenoviruses, human metapneumovirus, respiratory syncytial virus, influenza A virus, influenza B virus, and parainfluenza virus were measured by advanced fragment analysis. The respiratory virus infection rates among children of all ages and genders in Southwest China under the precautions against COVID-19 pandemic were significantly lower than that of the same period before the pandemic. Our findings indicate that public health measures implemented during the COVID-19 pandemic, including strict mask-wearing, social distancing, and hand hygiene, may be effective in preventing the transmission of other respiratory viruses in children, thereby controlling the spread of infections.

Precautions against COVID-19 reduce respiratory virus infections among children in Southwest China

Acute respiratory tract infections pose a serious threat to the health of children worldwide, with viral infections representing a major etiology of this type of disease. Protective measures such as mask-wearing, social distancing, and hand hygiene can be effective in curbing the spread of severe acute respiratory syndrome coronavirus 2. These precautions may also have an impact on the spread of other respiratory viruses. In this study, we retrospectively compared the respiratory virus infections of children in Southwest China before and after the outbreak of COVID-19. Nasopharyngeal swabs were collected from 1578 patients under 14 years old with acute respiratory tract infection symptoms before and after COVID-19 pandemic. Nine common respiratory viruses including human bocavirus, human rhinoviruses, human coronaviruses, human adenoviruses, human metapneumovirus, respiratory syncytial virus, influenza A virus, influenza B virus, and parainfluenza virus were measured by advanced fragment analysis. The respiratory virus infection rates among children of all ages and genders in Southwest China under the precautions against COVID-19 pandemic were significantly lower than that of the same period before the pandemic. Our findings indicate that public health measures implemented during the COVID-19 pandemic, including strict mask-wearing, social distancing, and hand hygiene, may be effective in preventing the transmission of other respiratory viruses in children, thereby controlling the spread of infections.

Trafficked Malayan pangolins contain viral pathogens of humans.

Pangolins are the most trafficked wild animal in the world according to the World Wildlife Fund. The discovery of SARS-CoV-2-related coronaviruses in Malayan pangolins has piqued interest in the viromes of these wild, scaly-skinned mammals. We sequenced the viromes of 161 pangolins that were smuggled into China and assembled 28 vertebrate-associated viruses, 21 of which have not been previously reported in vertebrates. We named 16 members of Hunnivirus, Pestivirus and Copiparvovirus pangolin-associated viruses. We report that the L-protein has been lost from all hunniviruses identified in pangolins. Sequences of four human-associated viruses were detected in pangolin viromes, including respiratory syncytial virus, Orthopneumovirus, Rotavirus A and Mammalian orthoreovirus. The genomic sequences of five mammal-associated and three tick-associated viruses were also present. Notably, a coronavirus related to HKU4-CoV, which was originally found in bats, was identified. The presence of these viruses in smuggled pangolins identifies these mammals as a potential source of emergent pathogenic viruses.

Hope During the COVID-19 Epidemic Decreased Anxiety and Depression Symptoms Mediated by Perceived Stress: Coping Style Differences Among Patients with COVID-19.

OBJECTIVE: This study aimed to investigate whether perceived stress mediated the relationship between hope and anxiety/depression symptoms among patients with COVID-19 during the epidemic. In addition, the potential moderating effect of coping styles was examined. METHODS: From February 26 to March 10, 2020, patients with COVID-19 were asked to complete a questionnaire online, which included demographic characteristics, as well as the SCL-90-Anxiety, SCL-90-Depression, Chinese Perceived Stress Scale (CPSS), Herth Hope Index (HHI), and Trait Coping Style Questionnaire (TCSQ). Hierarchical linear regression was performed to explore independent factors of anxiety/depression. A multi-group structural equation modeling with the collected data from patients in the Negative Coping style (NC) group and Positive Coping style (PC) group was used to test the hypothesized mechanism. RESULTS: In total, 382 valid questionnaires of patients were obtained, including 96 from NC patients and 286 from PC patients. In the hierarchical linear regression, hope and perceived stress were independent risk factors for both anxiety and depression in the total sample and PC group. However, hope was not independently related to anxiety/depression in the NC group. As hypothesized, the hope of patients had significant and negative indirect effects on both anxiety and depression that were mediated by perceived stress, However, the direct effect from stress on anxiety and depression was stronger for NC patients than for PC patients. Besides, hope had significant direct effects on anxiety/depression in PC patients, but not in NC patients. CONCLUSION: During the COVID-19 epidemic, perceived stress could mediate the relationship between hope and anxiety/depression symptoms among COVID-19 patients, with coping style moderating this cultivation process.

Absolute quantification of SARS-CoV-2 with Clarity Plus™ digital PCR.

In recent years, the usage of digital polymerase chain reaction (dPCR) for various clinical applications has increased exponentially. In this study, a dPCR assay optimized on the Clarity Plus™ dPCR system was evaluated for the absolute quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of the global coronavirus disease 2019 (COVID-19) outbreak. The assay demonstrated good inter- and intra- assay precision, accuracy, as well as excellent linearity across a range of over 6 orders of magnitude for target gene quantification. In addition, a comparison of the assay on both dPCR and qPCR platforms revealed that dPCR exhibited a slightly higher sensitivity compared to its qPCR counterpart when quantifying SARS-CoV-2 at a lower concentration. Overall, the results showed that the dPCR assay is a reliable and effective approach for the absolute quantification of SARS-CoV-2 and can be a valuable molecular tool in clinical applications such as detecting low viral loads in patients as well as in wastewater surveillance of COVID-19.

Environmental governance effects of local environmental protection expenditure in China.

China's economy is experiencing a rapid revival in the post Covid-19 era, while energy consumption is surging and environmental pressure is prominent. Environmental protection expenditure is an important means for local governments to improve environmental quality; it plays a crucial role in guiding market investment, providing environmental treatment funds and energy conservation and utilization. Based on a sample of 286 prefecture-level cities in China from 2007 to 2017, this study analyzes environmental governance effects of local environmental protection expenditure while considering the time duration, regional differences, and spatial spillover characteristics of industrial pollution emissions. The results reveal that local environmental protection expenditure could help reduce industrial pollution emissions in Chinese cities; however, the governance effects were heterogeneous in different clustering city groups. In addition, the effects of environmental protection expenditure at the neighborhood level varied greatly; the results showed that the stronger the spillover of pollutants, the more significant was the trans-regional governance effect of local environmental protection expenditure. Therefore, local governments should promote a cooperative mode of "joint prevention and control and cross-regional governance" when treating pollutants with strong spillover potential.

Cytopathic Effect (CPE )-Based Drug Screening Assay for SARS-CoV-2.

Identification of an effective antiviral for the treatment of COVID-19 is considered one of the holy grails in the bid to end the pandemic. However, the novelty of SARS-CoV-2, along with the little knowledge available about its infection characteristics at the beginning of this pandemic, challenges the scientific world on how one may be able to promptly identify promising drug candidates from a myriad of compound libraries. Here, we describe a cytopathic effect (CPE)-based drug screening assay for SARS-CoV-2 which allows for rapid assessment of drug compound libraries through pre- or posttreatment drug screening procedures and evaluation using a light microscope. By comparing the virus-induced CPE of the drug-treated cells against the vehicle and drug controls, potent drug candidates can be quickly identified for further downstream studies.

Prevention and control of COVID-19 by primary health care facilities in China: a field-survey-based qualitative study in three typical cities.

BACKGROUND: During the coronavirus disease 2019 (COVID-19) containment, primary health care (PHC) facilities inChina played an important role in providing both healthcare and public care services to community populations. The tasks of COVID-19 containment facilitated by PHC facilities were different among different regions and during different periods of COVID-19 pandemic. We sought to investigate the gaps on task participation, explore existing problems and provide corresponding solutions. METHODS: Semi-structured face-to-face interviews with COVID-19 prevention and control management teams of PHC facilities were conducted. Purposive stratified sampling was used and 32 team members of 22 PHC facilities were selected from Wuhan (as high-risk city), Shanghai (as medium-risk city) and Zunyi (as low-risk city). Framework analysis was employed to analyze the transcribed recordings. RESULTS: The main tasks of PHC facilities during the early period of the pandemic included assisting in contact tracing and epidemiological investigation, screening of populations at high-risk at travel centers/internals, house-by-house, or pre-examination/triage within PHC facilities; at-home/ centralized quarantine management; the work of fever sentinel clinics. Further analyses revealed the existing problems and suggestions for improvement or resolutions. Regular medical supply reserves were recommended because of the medical supply shortage during the pre-outbreak period. Temporarily converted quarantine wards and centralized quarantine centers could be used to deal with pressures on patients' treatment and management of the febrile patients. Only after strict evaluation of nucleic acid testing (NAT) results and housing conditions, decision on quarantine at-home or centralized quarantine centers could be made. Settings of fever sentinel clinics at PHC facilities allowed fever patients with no COVID-19 infection risks for treatment without being transferred to fever clinics of the designed secondary hospitals. Psychological intervention was sometimes in need and really helped in addressing individuals' mental pressures. CONCLUSIONS: During the COVID-19 containment, PHC facilities in China were responsible for different tasks and several problems were encountered in the working process. Accordingly, specific and feasible suggestions were put forward for different problems. Our findings are highly beneficial for healthcare teams and governments in handling similar situations.

A protein vaccine with Alum/c-GAMP/poly(I:C) rapidly boosts robust immunity against SARS-CoV-2 and variants of concern.

Adjuvants are important components in vaccines to increase the immunogenicity of proteins and induce optimal immunity. In this study, we designed a novel ternary adjuvant system Alum + c-GAMP + poly(I:C) with STING agonist 3,3'-c-GAMP (c-GAMP) and TLR3 agonist poly(I:C) co-adsorbed on the conventional adjuvant aluminum gel (Alum), and further constructed an S1 protein vaccine. Two doses of vaccination with the ternary adjuvant vaccine were sufficient to induce a balanced Th1/Th2 immune response and robust humoral and cellular immunity. Additionally, the ternary adjuvant group had effective neutralizing activity against live virus SARS-CoV-2 and pseudovirus of all variants of concern (alpha, beta, gamma, delta and omicron). These results indicate that the ternary adjuvants have a significant synergistic effect and can rapidly trigger potent immune responses; the combination of the ternary adjuvant system with S1 protein is a promising COVID-19 vaccine candidate.

Forecasting the Potential Number of Influenza-like Illness Cases by Fusing Internet Public Opinion

As influenza viruses mutate rapidly, a prediction model for potential outbreaks of influenza-like illnesses helps detect the spread of the illnesses in real time. In order to create a better prediction model, in this study, in addition to using the traditional hydrological and atmospheric data, features, such as popular search keywords on Google Trends, public holiday information, population density, air quality indices, and the numbers of COVID-19 confirmed cases, were also used to train the model in this research. Furthermore, Random Forest and XGBoost were combined and used in the proposed prediction model to increase the prediction accuracy. The training data used in this research were the historical data taken from 2016 to 2021. In our experiments, different combinations of features were tested. The results show that features, such as popular search keywords on Google Trends, the numbers of COVID-19 confirmed cases, and air quality indices can improve the outcome of the prediction model. The evaluation results showed that the error rate between the predicted results and the actual number of influenza-like cases form Week 15 to Week 18 fell to less than 5%. The outbreak of COVID-19 in Taiwan began in Week 19 and resulted in a sharp rise in the number of clinic or hospital visits by patients of influenza-like illnesses. After that, from Week 21 to Week 26, the error rate between the predicted and actual numbers of influenza-like cases in the later period dropped down to 13%. It can be confirmed from the actual experimental results in this research that the use of the ensemble learning prediction model proposed in this research can accurately predict the trend of influenza-like cases.

Cellular and molecular atlas of the placenta from a COVID-19 pregnant woman infected at midgestation highlights the defective impacts on foetal health.

OBJECTIVES: The impacts of the current COVID-19 pandemic on maternal and foetal health are enormous and of serious concern. However, the influence of SARS-CoV-2 infection at early-to-mid gestation on maternal and foetal health remains unclear. MATERIALS AND METHODS: Here, we report the follow-up study of a pregnant woman of her whole infective course of SARS-CoV-2, from asymptomatic infection at gestational week 20 to mild and then severe illness state, and finally cured at Week 24. Following caesarean section due to incomplete uterine rupture at Week 28, histological examinations on the placenta and foetal tissues as well as single-cell RNA sequencing (scRNA-seq) for the placenta were performed. RESULTS: Compared with the gestational age-matched control placentas, the placenta from this COVID-19 case exhibited more syncytial knots and lowered expression of syncytiotrophoblast-related genes. The scRNA-seq analysis demonstrated impaired trophoblast differentiation, activation of antiviral and inflammatory CD8 T cells, as well as the tight association of increased inflammatory responses in the placenta with complement over-activation in macrophages. In addition, levels of several inflammatory factors increased in the placenta and foetal blood. CONCLUSION: These findings illustrate a systematic cellular and molecular signature of placental insufficiency and immune activation at the maternal-foetal interface that may be attributed to SARS-CoV-2 infection at the midgestation stage, which highly suggests the extensive care for maternal and foetal outcomes in pregnant women suffering from COVID-19.

RBD conjugate vaccine with a built-in TLR1/2 agonist is highly immunogenic against SARS-CoV-2 and variants of concern.

The coronavirus 2019 (COVID-19) pandemic is causing serious impacts in the world, and safe and effective vaccines and medicines are the best methods to combat the disease. The receptor-binding domain (RBD) of the SARS-CoV-2 spike protein plays a key role in interacting with the angiotensin-converting enzyme 2 (ACE2) receptor, and is regarded as an important target of vaccines. Herein, we constructed the adjuvant-protein conjugate Pam3CSK4-RBD as a vaccine candidate, in which the N-terminal of the RBD was site-selectively oxidized by transamination and conjugated with the TLR1/2 agonist Pam3CSK4. This demonstrated that the conjugation of Pam3CSK4 significantly enhanced the anti-RBD antibody response and cellular response. In addition, sera from the Pam3CSK4-RBD immunized group efficiently inhibited the binding of the RBD to ACE2 and protected cells from SARS-CoV-2 and four variants of concern (alpha, beta, gamma and delta), indicating that this adjuvant strategy could be one of the effective means for protein vaccine development.

SARS-CoV-2 N Gene G29195T Point Mutation May Affect Diagnostic Reverse Transcription-PCR Detection.

Rapid onsite whole-genome sequencing of two suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) N gene diagnostic escape samples revealed a previously unreported N gene point mutation at genome position 29195. Because the G29195T mutation occurs within a region probed by a commonly referenced U.S. CDC N gene reverse transcription (RT)-PCR assay, we hypothesize that the G29195T mutation rendered the N gene target of a proprietary commercial assay undetectable. The putative diagnostic escape G29195T mutation demonstrates the need for nearly real-time surveillance, as emergence of a novel SARS-CoV-2 variant with the potential to escape diagnostic tests continues to be a threat. IMPORTANCE Accurate diagnostic detection of SARS-CoV-2 currently depends on the large-scale deployment of RT-PCR assays. SARS-CoV-2 RT-PCR assays target predetermined regions in the viral genomes by complementary binding of primers and probes to nucleic acid sequences in the clinical samples. Potential diagnostic escapes, such as those of clinical samples harboring the G29195T mutation, may result in false-negative SARS-CoV-2 RT-PCR results. The rapid detection and sharing of potential diagnostic escapes are essential for diagnostic laboratories and manufacturers around the world, to optimize their assays as SARS-CoV-2 continues to evolve.

CalmBelt: Rapid SARS-CoV-2 Genome Characterization for Outbreak Tracking.

Background: The ongoing COVID-19 pandemic is a global health crisis caused by the spread of SARS-CoV-2. Establishing links between known cases is crucial for the containment of COVID-19. In the healthcare setting, the ability to rapidly identify potential healthcare-associated COVID-19 clusters is critical for healthcare worker and patient safety. Increasing sequencing technology accessibility has allowed routine clinical diagnostic laboratories to sequence SARS-CoV-2 in clinical samples. However, these laboratories often lack specialized informatics skills required for sequence analysis. Therefore, an on-site, intuitive sequence analysis tool that enables clinical laboratory users to analyze multiple genomes and derive clinically relevant information within an actionable timeframe is needed. Results: We propose CalmBelt, an integrated framework for on-site whole genome characterization and outbreak tracking. Nanopore sequencing technology enables on-site sequencing and construction of draft genomes for multiple SARS-CoV-2 samples within 12 h. CalmBelt's interactive interface allows users to analyse multiple SARS-CoV-2 genomes by utilizing whole genome information, collection date, and additional information such as predefined potential clusters from epidemiological investigations. CalmBelt also integrates established SARS-CoV-2 nomenclature assignments, GISAID clades and PANGO lineages, allowing users to visualize relatedness between samples together with the nomenclatures. We demonstrated multiple use cases including investigation of potential hospital transmission, mining transmission patterns in a large outbreak, and monitoring possible diagnostic-escape. Conclusions: This paper presents an on-site rapid framework for SARS-CoV-2 whole genome characterization. CalmBelt interactive web application allows non-technical users, such as routine clinical laboratory users in hospitals to determine SARS-CoV-2 variants of concern, as well as investigate the presence of potential transmission clusters. The framework is designed to be compatible with routine usage in clinical laboratories as it only requires readily available sample data, and generates information that impacts immediate infection control mitigations.

Analysis on application law of dampness-removing traditional Chinese medicines in treatment of coronavirus disease 2019.

OBJECTIVE: Coronavirus Disease 2019 (COVID-19) has been diagnosed as an epidemic disease characterized by cold and dampness pathogens in TCM clinic. Due to many Chinese medicines with different functions were used in the treatment of COVID-19, it is very important to find the law of application of damp-removing traditional Chinese medicine with high frequency application, with view to providing a reference for the use and research of Chinese medicine to further control the pandemic. METHODS: The publicly released diagnosis and treatment programs issued by the National Health Commission and Health Commission of provinces, autonomous regions and municipalities, and Chinese herbs prescription information in these were collected, a database was established, and Excel and Graphpad 8.0 software were used to analyze the frequency of use of various Chinese medicines, the frequency and property characters including five flavors (bitter, pungent, sweet, sour, and salty) and four natures (warm, hot, cool, and cold) and channel tropisms of Chinese medicine for removing dampness. RESULTS: A total of 137 prescriptions of Chinese medicine for treating COVID-19 were collected, including 178 TCMs showing functions of resolving phlegm, relieving cough and asthma, resolving dampness, clearing damp and inducing dieresis, clearing heat, tonifying deficiency, and relieving exterior syndrome, in which the TCMs with the first four functions that we called the dampness-removing TCMs, accounted for 35.78%. Also a number of TCMs in the rest functions showed removing-dampness. The first four functions were divided into subfunctions including aromatic resolving dampness, clearing heat and drying dampness, drying dampness and tonifying spleen qi, drying dampness and removing phlegm, inducing diuresis and relieving swelling, inducing diuresis and relieving exterior syndrome. Among them, the most frequently used TCMs was Ephedrae Herba, followed by Citri Reticulatae Pericarpium, Pogostemonis Herba, Pinelliae Rhizoma, Poria, Scutellariae Radix, and Atractylodis Rhizoma. The property character analysis in the dampness-removing TCMs showed that bitter and pungent were largely present and sour and astringent were absent, warm and hot were dominant; And the lung, spleen, stomach, large intestine, bladder were main channel tropisms. CONCLUSION: Dampness-removing TCMs are the first important type of traditional Chinese medicine to be considered in the treatment of COVID-19 in Chinese medicine. The application of dampness-removing TCMs in the treatment of COVID-19 needs to be combined with its application law. This study may provide meaningful and useful information on further research to investigate the effective compounds from the dampness-removing Chinese medicine with high frequency application, and also provide a reference for the clinical treatment of COVID-19 accurately against dampness evil with dampness-removing traditional Chinese medicines.

Sex-Specific Microglial Activation and SARS-CoV-2 Receptor Expression Induced by Chronic Unpredictable Stress.

The coronavirus disease 2019 (COVID-19) pandemic has generated a lot of stress and anxiety among not only infected patients but also the general population across the globe, which disturbs cerebral immune homeostasis and potentially exacerbates the SARS-CoV-2 virus-induced neuroinflammation, especially among people susceptible to neuropsychiatric disorders. Here, we used a chronic unpredictable mild stress (CUMS) mouse model to study its effects on glia-mediated neuroinflammation and expression of SARS-CoV2 viral receptors. We observed that female mice showed depressive-like behavior after CUMS, whereas male mice showed enhanced anxiety and social withdrawal. Interestingly, CUMS led to increased amounts of total and MHCII+ microglia in the hippocampi of female mice but not male mice. mRNA levels of SARS-CoV-2 viral receptors angiotensin-converting enzyme 2 (Ace2) and basigin (Bsg) were also upregulated in the prefrontal cortices of stressed female mice but not male mice. Similarly, sex-specific changes in SARS-CoV-2 viral receptors FURIN and neuropilin-1 (NRP1) were also observed in monocytes of human caregivers enduring chronic stress. Our findings provided evidence on detrimental effects of chronic stress on the brain and behavior and implied potential sex-dependent susceptibility to SARS-CoV-2 infection after chronic stress.