An Effective Platform for SARS-CoV-2 Prevention by Combining Neutralization and RNAi Technology

At present, the coronavirus disease 2019 (COVID-19) pandemic is a global health crisis. Scientists all over the globe are urgently looking forward to an effective solution to prevent the spread of the epidemic and avoid more casualties at an early date. In this study, we establish an effective platform for the prevention of SARS-CoV-2 by combining the neutralization strategy and RNAi technology. To protect normal cells from infection, the customized cells are constructed to stably express viral antigenic receptor ACE2 on the cell membrane. These modified cells are used as bait for inducing the viral entry. The transcription and replication activities of viral genome are intercepted subsequently by the intracellular shRNAs, which are complementary to the viral gene fragments. A pseudotyped virus reconstructed from the HIV lentivirus is utilized as a virus model, by which we validate the feasibility and effectiveness of our strategy in vitro. Our work establishes an initial model and lays the foundation for future prevention and treatment of various RNA viruses. [ABSTRACT FROM AUTHOR] Copyright of Chinese Journal of Polymer Science (Springer Science & Business Media B.V.) is the property of Springer Nature 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 abstract 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 abstract. (Copyright applies to all Abstracts.)

Synthesis of deuterated S-217622 (Ensitrelvir) with antiviral activity against coronaviruses including SARS-CoV-2.

S-217622 (Ensitrelvir) is a reversible severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 3-chymotrypsin-like protease (3CLpro) inhibitor which obtained emergency regulatory approval in Japan for the treatment of SARS-CoV-2 infection on Nov 22, 2022. Herein, analogs of S-271622 with deuterium-for-hydrogen replacement were synthesized for comparison of the antiviral activities and pharmacokinetic (PK) profiles. Compared to the parent compound, C11-d2-S-217622 compound YY-278 retained in vitro activity against 3CLpro and SARS-CoV-2. X-ray crystal structural studies showed similar interactions of SARS-CoV-2 3CLpro with YY-278 and S-271622. The PK profiling revealed the relatively favorable bioavailability and plasma exposure of YY-278. In addition, YY-278, as well as S-217622, displayed broadly anti-coronaviral activities against 6 other coronaviruses that infect humans and animals. These results laid the foundation for further research on the therapeutic potential of YY-278 against COVID-19 and other coronaviral diseases.

The support dilemma of stroke inpatients and family caregivers under COVID-19 prevention and control: a qualitative study in China.

China has implemented a strict isolation system in hospitals since the COVID-19 pandemic, that adversely affected the psychology of inpatients and their caregivers. Face-to-face, semi-structured interviews with 22 stroke inpatients from two municipal hospitals were conducted to explore the psychological, emotional and related support needs of stroke inpatients and their family caregivers under this environment. Results which showed that external support for stroke inpatients and their family caregivers was insufficient highlight the necessity for developing specific nursing interventions that meet the psychological and emotional needs of inpatients and the caregivers.

Effectiveness of a Brief Mindfulness-Based Intervention of "STOP touching your face" During the COVID-19 Pandemic: a Randomized Controlled Trial.

Objectives: Avoiding touching the eyes, nose, and mouth (T-zone) is a strategy to reduce the spread of COVID-19. This study evaluated the effectiveness of a brief mindfulness-based intervention (MBI) named "STOP (Stop, Take a Breath, Observe, Proceed) touching your face" for reducing face-touching behavior. Methods: In this online-based, two-arm, wait-list, randomized controlled trial, eligible participants were randomly assigned to the intervention (n = 545) or control group (n = 545). The results of 60-min self-monitoring of face-touching behavior were reported before and after the intervention. Reduction of the percentage of T-zone touching was the primary outcome, and reduction of face-touching frequency was a key secondary outcome. Outcomes were analyzed on an intention-to-treat (ITT) basis with a complete case analysis (CCA). Results: ITT analysis revealed that the percentage of T-zone touching was significantly reduced by 8.1% in the intervention group (from 81.1 to 73.0%, RR = 0.901, OR = 0.631, RD = - 0.081, p = 0.002), and insignificantly reduced by 0.6% in the control group (from 80.0 to 79.4%, p = 0.821). Fewer participants performed T-zone touching in the intervention group than in the control group (73.0% vs. 79.4%, RR = 0.919, OR = 0.700, RD = - 0.064, p = 0.015) after the intervention, and there was a greater reduction of T-zone touching frequency in the intervention group than in the control group [mean ± SD: 1.7 ± 5.13 vs. 0.7 ± 3.98, mean difference (95% CI): 1.03 (0.48 to 1.58), p < 0.001, Cohen's d = - 0.218]. The above results were further confirmed by CCA. Conclusions: This brief mindfulness-based intervention was potentially effective at reducing the spread of COVID-19 and could be further investigated as an intervention for preventing other infectious diseases spread by hand-to-face touching. Trial Registration: ClinicalTrials.gov NCT04330352. Supplementary Information: The online version contains supplementary material available at 10.1007/s12671-022-02019-x.

Benchmarking emergency department prediction models with machine learning and public electronic health records.

The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical resources and the strain on hospital infrastructure caused by the pandemic. As a result of the widespread use of electronic health records (EHRs), we now have access to a vast amount of clinical data, which allows us to develop prediction models and decision support systems to address these challenges. To date, there is no widely accepted clinical prediction benchmark related to the ED based on large-scale public EHRs. An open-source benchmark data platform would streamline research workflows by eliminating cumbersome data preprocessing, and facilitate comparisons among different studies and methodologies. Based on the Medical Information Mart for Intensive Care IV Emergency Department (MIMIC-IV-ED) database, we created a benchmark dataset and proposed three clinical prediction benchmarks. This study provides future researchers with insights, suggestions, and protocols for managing data and developing predictive tools for emergency care.

Value acquisition, value co-creation: The impact of perceived organic grocerant value on customer engagement behavior through brand trust.

Affected by COVID-19, there is a growing trend toward healthy lifestyles and organic food consumption. The literature on organic foods focuses on the factors that influence buying behavior. A thriving organic business requires both sustained consumption and consumer contributions beyond the purchase-customer engagement behavior. The purpose of this study is to examine the factors that may drive member customers to engage with organic grocerants. This study surveyed 280 Chinese member customers of an organic grocerant to explore how to drive customer engagement behavior. Based on value co-creation theory and the customer engagement literature, this study proposed a "value acquisition-value co-creation" framework to explore the relationship between perceived value, brand trust, and customer engagement behavior. The results show that emotional and social value can directly and effectively motivate customer engagement behavior in organic grocerants. However, consumers' perceived quality value and price value will not directly affect customer engagement behavior but instead indirectly affect it through brand trust. Furthermore, improving the perceived value of emotion, quality and price can strengthen brand trust in organic grocerants. The study confirms that brand trust is critical to organic grocerant and customer engagement. Our findings provide a new perspective for understanding the relationship between the value customers receive from organic food consumption and value co-creation through customer engagement behavior.

An Effective Platform for SARS-CoV-2 Prevention by Combining Neutralization and RNAi Technology

At present, the coronavirus disease 2019 (COVID-19) pandemic is a global health crisis. Scientists all over the globe are urgently looking forward to an effective solution to prevent the spread of the epidemic and avoid more casualties at an early date. In this study, we establish an effective platform for the prevention of SARS-CoV-2 by combining the neutralization strategy and RNAi technology. To protect normal cells from infection, the customized cells are constructed to stably express viral antigenic receptor ACE2 on the cell membrane. These modified cells are used as bait for inducing the viral entry. The transcription and replication activities of viral genome are intercepted subsequently by the intracellular shRNAs, which are complementary to the viral gene fragments. A pseudotyped virus reconstructed from the HIV lentivirus is utilized as a virus model, by which we validate the feasibility and effectiveness of our strategy in vitro. Our work establishes an initial model and lays the foundation for future prevention and treatment of various RNA viruses. [ FROM AUTHOR] Copyright of Chinese Journal of Polymer Science (Springer Science & Business Media B.V.) is the property of Springer Nature 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.)

Corporate payout, cash holdings, and the COVID-19 crisis: Evidence from the G-7 countries.

This paper examines the impact of the COVID-19 pandemic on the adjustments of dividends and share repurchases of publicly listed firms in the G-7 countries. Firms in the United Kingdom, Germany, France, and Italy experienced a widespread cut in dividends, while firms in the United States and Canada cut cash payout more via share repurchases, with Japanese firms in between. Corporate cash holdings helped mitigate the negative impact of COVID on payout adjustments, but the impact was less significant for European firms.

Chinese Youths' Physical Activity and Flourishing During COVID-19: The Mediating Role of Meaning in Life and Self-Efficacy.

Physical activity has wide-ranging consequences for people's physical, mental, and social health. Although the beneficial effects of physical activity on well-being were widely studied, how it promotes well-being remained unclear. The present study utilized the measure of physical activity rating scale (PARS-3), flourishing scale (FS), Chinese- meaning in life questionnaire (C-MLQ), and general self-efficacy scale (GSES) to examine the connection between physical activity and flourishing and the multiple mediation effects of meaning and self-efficacy with 827 Chinese undergraduates. The results indicated that (a) physical activity positively predicted flourishing; (b) meaning in life and self-efficacy played mediating roles in physical activity and flourishing, separately and jointly. Our findings revealed the mechanism of physical activity fostering flourishing, thereby providing an empirical basis for promoting health and flourishing, especially during COVID-19.

Implementation of emergency general practitioner management of patients during the complete lockdown consequent to the COVID-19 Omicron outbreak in Shanghai.

The outbreak of the Omicron strain of COVID-19 led to the most restrictive lockdowns ever implemented in Shanghai.

Emerging mRNA technologies: delivery strategies and biomedical applications.

The great success achieved by the two highly-effective messenger RNA (mRNA) vaccines during the COVID-19 pandemic highlights the great potential of mRNA technology. Through the evolution of mRNA technology, chemistry has played an important role from mRNA modification to the synthesis of mRNA delivery platforms, which allows various applications of mRNA to be achieved both in vitro and in vivo. In this tutorial review, we provide a summary and discussion on the significant progress of emerging mRNA technologies, as well as the underlying chemical designs and principles. Various nanoparticle (NP)-based delivery strategies including protein-mRNA complex, lipid-based carriers, polymer-based carriers, and hybrid carriers for the efficient delivery of mRNA molecules are presented. Furthermore, typical mRNA delivery platforms for various biomedical applications (e.g., functional protein expression, vaccines, cancer immunotherapy, and genome editing) are highlighted. Finally, our insights into the challenges and future development towards clinical translation of these mRNA technologies are provided.

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic.

Ultrasound imaging of the lung has played an important role in managing patients with COVID-19-associated pneumonia and acute respiratory distress syndrome (ARDS). During the COVID-19 pandemic, lung ultrasound (LUS) or point-of-care ultrasound (POCUS) has been a popular diagnostic tool due to its unique imaging capability and logistical advantages over chest X-ray and CT. Pneumonia/ARDS is associated with the sonographic appearances of pleural line irregularities and B-line artefacts, which are caused by interstitial thickening and inflammation, and increase in number with severity. Artificial intelligence (AI), particularly machine learning, is increasingly used as a critical tool that assists clinicians in LUS image reading and COVID-19 decision making. We conducted a systematic review from academic databases (PubMed and Google Scholar) and preprints on arXiv or TechRxiv of the state-of-the-art machine learning technologies for LUS images in COVID-19 diagnosis. Openly accessible LUS datasets are listed. Various machine learning architectures have been employed to evaluate LUS and showed high performance. This paper will summarize the current development of AI for COVID-19 management and the outlook for emerging trends of combining AI-based LUS with robotics, telehealth, and other techniques.

SCANNER: a web platform for annotation, visualization and sharing of single cell RNA-seq data.

In recent years, efficient scRNA-seq methods have been developed, enabling the transcriptome profiling of single cells massively in parallel. Meanwhile, its high dimensionality and complexity bring challenges to the data analysis and require extensive collaborations between biologists and bioinformaticians and/or biostatisticians. The communication between these two units demands a platform for easy data sharing and exploration. Here we developed Single-Cell Transcriptomics Annotated Viewer (SCANNER), as a public web resource for the scientific community, for sharing and analyzing scRNA-seq data in a collaborative manner. It is easy-to-use without requiring special software or extensive coding skills. Moreover, it equipped a real-time database for secure data management and enables an efficient investigation of the activation of gene sets on a single-cell basis. Currently, SCANNER hosts a database of 19 types of cancers and COVID-19, as well as healthy samples from lungs of smokers and non-smokers, human brain cells and peripheral blood mononuclear cells (PBMC). The database will be frequently updated with datasets from new studies. Using SCANNER, we identified a larger proportion of cancer-associated fibroblasts cells and more active fibroblast growth-related genes in melanoma tissues in female patients compared to male patients. Moreover, we found ACE2 is mainly expressed in lung pneumocytes, secretory cells and ciliated cells and differentially expressed in lungs of smokers and never smokers.

Target-Based Virtual Screening and LC/MS-Guided Isolation Procedure for Identifying Phloroglucinol-Terpenoid Inhibitors of SARS-CoV-2.

The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to more than 5 million deaths worldwide to date. Due to the limited therapeutic options so far available, target-based virtual screening with LC/MS support was applied to identify the novel and high-content compounds 1-4 with inhibitory effects on SARS-CoV-2 in Vero E6 cells from the plant Dryopteris wallichiana. These compounds were also evaluated against SARS-CoV-2 in Calu-3 cells and showed unambiguous inhibitory activity. The inhibition assay of targets showed that compounds 3 and 4 mainly inhibited SARS-CoV-2 3CLpro, with effective Kd values. Through docking and molecular dynamics modeling, the binding site is described, providing a comprehensive understanding of 3CLpro and interactions for 3, including hydrogen bonds, hydrophobic bonds, and the spatial occupation of the B ring. Compounds 3 and 4 represent new, potential lead compounds for the development of anti-SARS-CoV-2 drugs. This study has led to the development of a target-based virtual screening method for exploring the potency of natural products and for identifying natural bioactive compounds for possible COVID-19 treatment.

Study on the application exploration of blockchain in traceability of imported aquatic products in Zhanjian

In recent years, the import of aquatic products at Zhanjiang port has continued to increase, which has effectively promoted the development of the local economy. However, unqualified imported aquatic products have occurred from time to time, and it has always been an important duty of the customs to control the safety of imported food. Especially with the continuous outbreak of novel coronavirus pneumonia epidemic situation since 2020, it is particularly important to ensure the quality and safety of imported aquatic products, especially the traceability of the products. This article focused on analyzing the characteristics and functions of blockchain technology, combining with the problems of traceability of imported aquatic products in Zhanjiang, combined blockchain technology with three-dimensional customs supervision, explored the establishment of customs blockchain supervision model, and analyzed and studied the feasibility of the application of blockchain in the traceability of imported aquatic products in Zhanjiang. The traceability supervision system including production enterprises, importers and exporters, third-party institutions, logistics, warehousing, banking, insurance and other stakeholders was constructed. Finally, relevant application exploration schemes were put forward, and it was expected to provide some reference for improving the quality of imported products and perfecting the construction of imported food safety traceability management system.

Running an Internet Hospital in China: Perspective Based on a Case Study.

Internet hospitals, as a new forum for doctors to conduct diagnosis and treatment activities based on the internet, are emerging in China and have become integral to the development of the medical field in conjunction with increasing reforms and policies in China's medical and health system. Here, we take the Internet Hospital of the First Affiliated Hospital, Zhejiang University (FAHZU Internet Hospital) as an example to discuss the operations and functional positioning of developing internet hospital medical services in relation to physical hospitals. This viewpoint considers the platform operation, management, and network security of FAHZU Internet Hospital, and summarizes the advantages and limitations in the operation to provide a reference for other areas with interest in developing internet hospitals.

Primary Breast Diffuse Large B-Cell Lymphoma in a 42-Year-Old Female: A Case Report and Review of Literature.

Primary breast diffuse large B-cell lymphoma (PB-DLBCL) is a rare localized extranodal lymphoma. It is mainly diagnosed by pathological examination due to the lack of specific clinical and imaging manifestations. Whole-body positron emission tomography-computed tomography (PET-CT) is widely used in determining clinical staging and guiding clinical treatment. As part of comprehensive treatment, targeted therapy with rituximab, intrathecal methotrexate injection and consolidation radiotherapy remain controversial in treating PB-DLBCL, but the comprehensive treatment based on full-course of chemotherapy is still widely used as the first-line treatment. Comprehensive treatment often leads to a sharp decline in the immunity of elderly patients with malignancy. In this situation, surgery may be a good chance to improve their life quality without serious complications. We present a rare case of PB-DLBCL during the coronavirus disease 2019 (COVID-19) pandemic. The patient underwent chest CT scan to screen COVID-19 and a mass of left breast was accidentally found. Because of the city lockdown policy in Wuhan, she did not seek medical help until noticing that the mass was gradually enlarged. Both ultrasonography and mammography indicated that the lesion was breast cancer. However, ultrasound-guided core needle biopsy revealed diffuse large B-cell lymphoma of breast and PET-CT scan showed that the lesion was a primary hypermetabolic tumor of left breast. The patient subsequently received comprehensive treatment based on six cycles of rituximab-cyclophosphamide, hydroxydaunomycin, oncovin, prednisone (R-CHOP) chemotherapy.