Exploring the Potential Mechanism of Action of Ursolic Acid against Gastric Cancer and COVID-19 using Network Pharmacology and Bioinformatics Analysis.

BACKGROUND: Patients with gastric cancer (GC) are more likely to be infected with 2019 coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and the prognosis is worse. It is urgent to find effective treatment methods. OBJECTIVE: This study aimed to explore the potential targets and mechanism of ursolic acid (UA) on GC and COVID-19 by network pharmacology and bioinformatics analysis. METHODS: The online public database and weighted co-expression gene network analysis (WGCNA) were used to screen the clinical related targets of GC. COVID-19-related targets were retrieved from online public databases. Then, a clinicopathological analysis was performed on GC and COVID-19 intersection genes. Following that, the related targets of UA and the intersection targets of UA and GC/COVID-19 were screened. Gene Ontology (GO) and Kyoto Encyclopedia of Gene and Genome Analysis (KEGG) pathway enrichment analyses were performed on the intersection targets. Core targets were screened using a constructed protein-protein interaction network. Finally, molecular docking and molecular dynamics simulation (MDS) of UA and core targets were performed to verify the accuracy of the prediction results. RESULTS: A total of 347 GC/COVID-19-related genes were obtained. The clinical features of GC/COVID-19 patients were revealed using clinicopathological analysis. Three potential biomarkers (TRIM25, CD59, MAPK14) associated with the clinical prognosis of GC/COVID-19 were identified. A total of 32 intersection targets of UA and GC/COVID-19 were obtained. The intersection targets were primarily enriched in FoxO, PI3K/Akt, and ErbB signaling pathways. HSP90AA1, CTNNB1, MTOR, SIRT1, MAPK1, MAPK14, PARP1, MAP2K1, HSPA8, EZH2, PTPN11, and CDK2 were identified as core targets. Molecular docking revealed that UA strongly binds to its core targets. The MDS results revealed that UA stabilizes the protein-ligand complexes of PARP1, MAPK14, and ACE2. CONCLUSION: This study found that in patients with gastric cancer and COVID-19, UA may bind to ACE2, regulate core targets such as PARP1 and MAPK14, and the PI3K/Akt signaling pathway, and participate in antiinflammatory, anti-oxidation, anti-virus, and immune regulation to exert therapeutic effects.

Establishing an integrated prevention and control system to ensure zero nosocomial infections – an analysis of the logistics support in controlling nosocomial infections during the hospital's fight against the COVID-19 epidemic Aufbau eines integrierten Präventions- und Kontrollsystems zur Gewährleistung der Null-Strategie zur Prävention nosokomialer Infektionen – eine Analyse der logistischen Unterstützung zur Prävention nosokomialer Infektionen während des Kampfes des Krankenhauses gegen die COVID-19-Epidemie

Aim: To analyze the role of the logistics support services in nosocomial infection control during emergency periods, with a focus on job responsibilities including the organization of vehicle parking, supply of hospital meals, washing of medical bedding and clothing, disposal and management of medical sewage and waste, elevator services, disinfection of air conditioning systems, disinfection and cleaning of ambulances, management of hospital buildings, storage of sterilization supplies, reception and delivery of oxygen cylinders and protection of staff health as examples. Methods: The adjustment and optimization of the emergency support system and working mode as part of hospitals' response to major public emergencies were summarized, and the vital supporting role of the logistics support services in nosocomial infection control was analyzed. Results: The logistics support services played a crucial role in ensuring the high-performance operations of the hospitals and control of nosocomial infections, resulting in the excellent outcome of "zero infection” among hospital staff. Conclusion: Establishing a safe, flexible and efficient system for the logistics support services is important in ensuring an effective response by hospitals to health emergencies.

Clinical and CT Manifestations of 56 COVID-19 Patients

Objective: To analyze the clinical manifestations and lung CT findings of patients infected with the 2019 coronavirus disease (COVID-19). Methods: The clinical manifestations and lung CT image data of 56 confirmed COVID-19 patients were retrospectively analyzed. These data were collected in the Fourth People’s Hospital of Huai’an from January 23-February 13, 2020. All 56 patients were confirmed cases with positive nucleic acid test. Results: The main clinical manifestations of 56 patients were fever, cough, sputum, and some patients were accompanied by headache, sore throat, nasal congestion and runny nose, fatigue, muscle aches and other symptoms. 42 patients had the symptoms of moderate or low fever, with an average body temperature of 38.0 ±0.7 °C, and 41 patients had the symptoms of dry cough. Of 56 patients with chest CT examination, 50 cases showed ground glass opacity (GGO) in the lungs, 38 cases showed varying degrees of consolidation in the GGO, 49 cases showed the vascular enhancement sign (VES) in the lung lesions, 28 cases showed the pavement stone sign, and 17 cases had the lungs of fiber stripes. Only 1 of the 56 patients had a little pleural effusion, and there was no mediastinal lymphadenopathy. The frequency of ground glass opacity and vascular enhancement sign was the highest, however, there were no significant differences among the three groups in the early stage, progression stage and recovery stage. In the early stage, the occurrence rate of pavement stone signs and air bronchi signs were significantly lower than that of the progression stage and recovery stage. The occurrence rate of fiber stripes was the highest in the recovery period, which was obviously higher than that in the first and second stages. Conclusion: Combined with epidemiological history and clinical symptoms, chest CT abnormalities and routine blood examination can be used as an important reference before nucleic acid detection so as to screen the risky population, which is helpful for early clinical treatment.

Deep Fractional Max Pooling Neural Network for COVID-19 Recognition.

Aim: Coronavirus disease 2019 (COVID-19) is a form of disease triggered by a new strain of coronavirus. This paper proposes a novel model termed "deep fractional max pooling neural network (DFMPNN)" to diagnose COVID-19 more efficiently. Methods: This 12-layer DFMPNN replaces max pooling (MP) and average pooling (AP) in ordinary neural networks with the help of a novel pooling method called "fractional max-pooling" (FMP). In addition, multiple-way data augmentation (DA) is employed to reduce overfitting. Model averaging (MA) is used to reduce randomness. Results: We ran our algorithm on a four-category dataset that contained COVID-19, community-acquired pneumonia, secondary pulmonary tuberculosis (SPT), and healthy control (HC). The 10 runs on the test set show that the micro-averaged F1 (MAF) score of our DFMPNN is 95.88%. Discussions: This proposed DFMPNN is superior to 10 state-of-the-art models. Besides, FMP outperforms traditional MP, AP, and L2-norm pooling (L2P).

Risk Factors of Psychological Responses of Chinese University Students During the COVID-19 Outbreak: Cross-sectional Web-Based Survey Study.

BACKGROUND: COVID-19 is a highly contagious and highly pathogenic disease caused by a novel coronavirus, SARS-CoV-2, and it has become a pandemic. As a vulnerable population, university students are at high risk during the epidemic, as they have high mobility and often overlook the severity of the disease because they receive incomplete information about the epidemic. In addition to the risk of death from infection, the epidemic has placed substantial psychological pressure on the public. In this respect, university students are more prone to psychological problems induced by the epidemic compared to the general population because for most students, university life is their first time outside the structure of the family, and their mental development is still immature. Internal and external expectations and academic stress lead to excessive pressure on students, and unhealthy lifestyles also deteriorate their mental health. The outbreak of COVID-19 was a significant social event, and it could potentially have a great impact on the life and the mental health of university students. Therefore, it is of importance to investigate university students' mental health status during the outbreak of COVID-19. OBJECTIVE: The principal objective of this study was to investigate the influencing factors of the psychological responses of Chinese university students during the COVID-19 outbreak. METHODS: This study used data from a survey conducted in China between February 21 and 24, 2020, and the data set contains demographic information and psychological measures including the Self-Rating Anxiety Scale, the Self-Rating Depression Scale, and the compulsive behaviors portion of the Yale-Brown Obsessive-Compulsive Scale. A total of 2284 questionnaires were returned, and 2270 of them were valid and were used for analysis. The Mann-Whitney U test for two independent samples and binary logistic regression models were used for statistical analysis. RESULTS: Our study surveyed 563 medical students and 1707 nonmedical students. Among them, 251/2270 students (11.06%) had mental health issues. The results showed that contact history of similar infectious disease (odds ratio [OR] 3.363, P=.02), past medical history (OR 3.282, P<.001), and compulsive behaviors (OR 3.525, P<.001) contributed to the risk of mental health issues. Older students (OR 0.928, P=.02), regular daily life during the epidemic outbreak (OR 0.410, P<.001), exercise during the epidemic outbreak (OR 0.456, P<.001), and concern related to COVID-19 (OR 0.638, P=.002) were protective factors for mental health issues. CONCLUSIONS: According to the study results, mental health issues have seriously affected university students, and our results are beneficial for identifying groups of university students who are at risk for possible mental health issues so that universities and families can prevent or intervene in the development of potential mental health issues at the early stage of their development.

Two cases of corona virus disease 2019 (COVID-19) treated with the combination of acupuncture and medication in bedridden patients2.

The paper reports the experiences in treatment of two cases of corona virus disease 2019 (COVID-19) with the combination of acupuncture and medication in bedridden patients confirmed in C7 Inpatient Ward, Wuhan Leishenshan Hospital, China. The combined treatment of acupuncture with the oral administration of "Shanghai leishen No.1 formula" was given every day. The prescription was modified weekly according the symptoms of the patients. Besides, the antivirus, anti-infectious and symptomatic treatment of western medicine was combined. Both of the two cases were improved and discharged. It is anticipated that the treatment experiences in these two cases may provide the instruction and enlightenment for the prevention and treatment of COVID-19.

Diagnosis and treatment of novel coronavirus pneumonia based on the theory of traditional Chinese medicine.

Since the outbreak of novel coronavirus pneumonia (coronavirus disease 2019, COVID-19), it has rapidly spread to 187 countries, causing serious harm to the health of people and a huge social burden. However, currently, drugs specifically approved for clinical use are not available, except for vaccines against COVID-19 that are being evaluated. Traditional Chinese medicine (TCM) is capable of performing syndrome differentiation and treatment according to the clinical manifestations of patients, and has a better ability of epidemic prevention and control. The authors comprehensively analyzed the etiology and pathogenesis of COVID-19 based on the theory of TCM, and discussed its syndrome differentiation, treatment and prevention measures so as to provide strategies and reference for the prevention and treatment with TCM.