Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 87
Filter
1.
EMBO Journal ; : e111737, 2022.
Article in English | MEDLINE | ID: covidwho-2164323

ABSTRACT

Bat-origin RshSTT182 and RshSTT200 coronaviruses (CoV) from Rhinolophus shameli in Southeast Asia (Cambodia) share 92.6% whole-genome identity with SARS-CoV-2 and show identical receptor binding domains (RBDs). In this study, we determined the structure of the RshSTT182/200 receptor binding domain (RBD) in complex with human angiotensin-converting enzyme 2 (hACE2) and identified the key residues that influence receptor binding. Binding of the RshSTT182/200 RBD to ACE2 orthologs from 39 animal species, including 18 bat species, was used to evaluate its host range. The RshSTT182/200 RBD broadly recognized 21 out of 39 ACE2 orthologs, although its binding affinities for the orthologs were weaker than those of the RBD of SARS-CoV-2. Furthermore, RshSTT182 pseudovirus could utilize human, fox and Rhinolophus affinis ACE2 receptors for cell entry. Moreover, we found that SARS-CoV-2 induces cross-neutralizing antibodies against RshSTT182 pseudovirus. Taken together, the findings indicate that RshSTT182/200 can potentially infect susceptible animals, but requires further evolution to obtain strong interspecies transmission abilities like SARS-CoV-2.

2.
BMC Nephrology ; 23(1):400, 2022.
Article in English | MEDLINE | ID: covidwho-2162317

ABSTRACT

BACKGROUND: Thrombotic thrombocytopenic purpura (TTP) is a rare and life-threatening thrombotic microangiopathy characterized by microangiopathic hemolytic anemia, severe thrombocytopenia, and organ ischemia. It is related to severe deficiency in ADAMTS13, which is usually acquired via ADAMTS13 autoantibodies or inherited via mutations of the ADAMTS13 gene. The etiology of acquired TTP including HIV infection, pregnancy, autoimmune disease, organ transplantation, drugs, malignancy and so on. Here, we firstly reported a patient diagnosed as acquired TTP after pegylated interferon therapy for hepatitis B and COVID-19 vaccination.

3.
Health Communication ; : 1-11, 2022.
Article in English | MEDLINE | ID: covidwho-2160631

ABSTRACT

As information consumption plays a critical role in addressing vaccine hesitancy in the hybrid media environment, it becomes crucial to understand how individuals' use of a combination of channels and sources affects their vaccine hesitancy. Based on information repertoire approaches emphasizing the multiplicity of channels and sources, we investigated different patterns of information repertoire related to the COVID-19 pandemic and how these patterns affected vaccine hesitancy through different informational mechanisms. Our results based on a U.S. sample suggest that while a richer information repertoire related to increased confidence in vaccines through increased information verification, this richness also corresponded with deepened vaccine hesitancy through heightened cognitive elaboration and perceived information inconsistency. Our findings support the utility of repertoire approaches for better understanding health information acquisition in the complex media ecology.

4.
Journal of Medical Virology ; 15:15, 2022.
Article in English | MEDLINE | ID: covidwho-2157856

ABSTRACT

An outbreak of COVID-19 was reported in Yongchuan district of Chongqing, China in March 2022, while the source was unknown. We aimed to investigate the origin and transmission route of the virus in the outbreak. We conducted field investigations for all cases and collected their epidemiological and clinical data. We performed gene sequencing and phylogenetic analysis for the cases, and draw the epidemic curve and the case relationship chart to analyze interactions and possible transmission mode of the outbreak. A total of 11 cases of COVID-19, including 5 patients and 6 asymptomatic cases were laboratory-confirmed in the outbreak. The branch of the virus was Omicron BA.2 which was introduced into Yongchuan district by a traveler in early March. Patient F and asymptomatic case G had never contact with other positive infected individuals, but close contact with their pet dog that sniffed the discarded cigarette butts and stepped on the sputum of patient B. Laboratory test results showed that the dog hair and kennel were positive for SARS-CoV-2, and the ten isolates were highly homologous to an epidemic strain in a province of China. The investigation suggested that the contaminated dog by SARS-CoV-2 can act as a passive mechanical carrier of the virus and might transmit the virus to humans through close contact. Our findings suggest that during the COVID-19 pandemic, increasing hygiene measures and hand washing after close contact with pets is essential to minimize the risk of community spread of the virus. This article is protected by copyright. All rights reserved.

5.
IOP Conference Series. Earth and Environmental Science ; 1101(7):072010, 2022.
Article in English | ProQuest Central | ID: covidwho-2151794

ABSTRACT

The technical and management issues that existed in traditional healthcare institutions, such as relatively lagging technologies, untimely information, have received increasing attention. In recent decades, the reconstruction or transformation of smart healthcare system has emerged as a new research trend. Especially with the outbreak of the COVID-19 epidemic, the smart healthcare system realizes the timely allocation of medical resources and sharing of information. Therefore, this paper aims to develop an indicator framework for assessing the hospital’s readiness in transforming towards smart healthcare. First, based on the literature review, an indicator framework of readiness of smart healthcare transformation is developed for smart healthcare transformation, which includes three hierarchies of “ smart facility management (smart FM)”, “medical system (MS)” and “organizational management (OM)”. Secondly, an online questionnaire survey is conducted to test the validity of the indicator framework. Based on factor analysis, the indicator framework is proved to be effective as a whole, and all the 26 indicators are significant. Finally, the readiness of case hospital “A” in the smart healthcare transformation is examined by fuzzy synthetic evaluation method. The findings of this paper provide an assessment tool for medical institutions to self-evaluate their status in the information construction process.

6.
Frontiers in Ecology and Evolution ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2141750

ABSTRACT

The 2020 COVID-19 lockdown provides an opportunity to assess how the anthropause affected the behavior of birds. Black-headed gulls (Larus ridibundus) wintering at Dianchi Lake (Yunnan Province, southwestern China) prefer to forage on easily accessible human-provided food at various sites along the lake. Following the closure of the lake because of the pandemic, synthetic food was provided at a single location. We expected that the home range size and distribution of gulls would change in response to these changes in food provisioning. A total of 91 gulls were tagged with satellite transmitters in November 2018 and March 2019, and their movements were tracked during the winter months. We analyzed their home range size and spatial distribution in four periods, SCP2019, SOP2019, SCP2020, and SOP2020 (Scenic Opening/Closing Period in 2019/2020), and the difference between SOP2019 and SCP2019 was used as the control group. The eutrophication level in the wintering periods "Nov. 2018-Apr. 2019" and "Oct. 2019-Apr. 2020" was determined using the Normalized Difference Vegetation Index (NDVI), and the coverage ratio of algal blooms and NDVI were used as indicators of the amount of naturally available food. The home range sizes of gulls were reduced in SCP2020 compared with SOP2019, SCP2019, and SOP2020. The gulls were most abundant in the 600-900 m buffer zone and least abundant in the 0-300 m buffer zone in SCP2019;they were most abundant in the 0-300 m buffer zone and least abundant in the 900-2000 m buffer zone in SCP2020. These patterns were consistent with variation in the NDVI and the coverage ratio of algal blooms among buffer zones. Changes in wintering behaviors in SCP2020 relative to other periods suggested that gulls modified their behavior following anthropause-related changes in the distribution and provisioning of food. Our findings provide insights into the role of behavioral plasticity in mediating adaptation to changes in human activities in birds.

7.
Frontiers in Psychology ; 12, 2022.
Article in English | Web of Science | ID: covidwho-2121938

ABSTRACT

Objective: This paper studies the mediating and interactive effects of social capital on psychological capital and the feeling of happiness from the impact of COVID-19. Since its emergence, the COVID-19 pandemic has taken a toll on people's mental health and affected their hopes for the future. Lifestyle and economic conditions have also been affected and have subsequently impacted people's sense of confidence in life. This could increase the likelihood of many people developing mental health issues, such as anxiety or depression. Therefore, it is vital to study the influence of psychological capital and social capital on people's subjective psychology and happiness experiences. Materials and Methods: Using an ordered probit model, this paper studied the independent influence and interaction between psychological capital and social capital on people's happiness. The ordered probit model was chosen because subjective wellbeing (SWB) is an ordered variable. We further used structural equation modeling (SEM) to study the mediating effects of social capital on psychological capital and happiness. Results: The regression results showed that both psychological capital and social capital were significantly positively correlated with happiness when controlling for other factors. In addition, psychological and social capital significantly interacted, in which the psychological capital promotes the effect of social capital on happiness. Moreover, the effect of psychological capital on happiness was greater than that of social capital, demonstrating that happiness is more greatly influenced by subjective psychological experience. The interaction coefficient of psychological and social capital was also significant, showing that the two have mutually reinforcing effects on happiness. Finally, health, income class, real estate, stranger trust, age, and urban household registration had significant positive effects on happiness, while the view of money, being female, education had a negative relationship with happiness. The SEM results showed that the mediating effect of psychological capital on happiness was partly transmitted through social capital: the total effect of psychological capital on happiness was highly significant (p < 0.0001), as was the total effect of social capital on happiness (p < 0.0001);however, the coefficient for psychological capital was greater than that for social capital. Through heterogeneity analysis, we found that the relationship between psychological capital, social capital, and happiness was significantly positive in each sub-sample group. There was also a significant interaction between psychological and social capital for men, women, urban and rural residents, and higher education background sample groups. However, the interaction was not significant in the sample group without higher education. In addition, the relationship between the happiness of rural residents and their educational background and gender was not significant. Conclusion: We found that psychological and social capital have significant positive relationships and effects on happiness. Psychological capital demonstrated both direct and indirect influences on happiness, and further strengthens the influence of social capital on happiness. These results support a scheme to emphasize psychological support during the COVID-19 pandemic period to enhance the mental health of citizens.

8.
Journal of Medical Devices-Transactions of the Asme ; 16(4), 2022.
Article in English | Web of Science | ID: covidwho-2121314

ABSTRACT

Aerosols generated during endoscopic sinus procedures present a concern to the health and safety of healthcare personnel, especially with the presence of coronavirus disease (COVID-19). The purpose of this study is to describe the design and testing of a nasal cover to restrict aerosolized pathogens. The nasal cover was designed to sit overtop the nose with conformal slits for insertion of endoscopic instrumentation. Polydimethylsiloxane (PDMS) was chosen as the nasal mask material and its composition, thickness, and slit geometry were selected using a Taguchi experimental design and survey with clinical collaborators at Penn State Milton S. Hershey Medical Center. The nasal cover was designed using principles of origami engineering to be manufactured flat and then folded into its operating state. Form and functionality were evaluated by surgeons, fellows, and residents in the aforementioned survey. Aerosol containment was evaluated by measuring smoke, representative of surgical aerosols, with an optical particle counter. A 25:1 composition PDMS with 3 mm thickness and vertical slit geometry was chosen for the nasal cover design. Survey results demonstrated that the origami cover sat well on the nose and did not significantly impact the surgical conditions with single instrumentation. On average, this nasal cover was found to restrict more than 93% of 0.3 mu m aerosols, and more than 99% of all aerosols larger than 0.5 mu m in size. The use of a patient worn nasal cover has the potential to drastically reduce the risk to hospital personnel during endonasal surgeries by reducing aerosol generation and potential pathogen spread.

9.
Chemical Engineering Transactions ; 94:259-264, 2022.
Article in English | Scopus | ID: covidwho-2099086

ABSTRACT

The existing COVID-19 pandemic has driven personal protective equipment use and consumption surge, leading to plastic pollution as most waste goes to landfills. Biodegradable polypropylene (PP) gowns claimed to have similar production costs as standard PP film ones might be more environmentally friendly due to the degradability after landfilling. The illustration of their sustainable end-of-life waste disposal options is lacking and requires a systematic comparison of their environmental impacts. A holistic life cycle assessment approach based on full-spectrum environmental indicators identifies the environmentally sustainable waste disposal options. Results illustrate the environmental benefits of landfill gas capture and utilization incorporated to landfilling biodegradable gown wastes by reducing 48.81 % land-use, 9.35 % greenhouse gas emissions from fossil sources, and 5.67 % from land-use greenhouse gas emissions, respectively. Despite these environmental advantages, industrial composting embodies lower environmental emissions than sanitary landfills for treating biodegradable gowns. Fossil-based gowns treated by landfills can have lower environmental impacts than composting biodegradable gowns in full-spectrum environmental indicators. The standard gown landfilling is identified as the environmentally sustainable disposal option. Copyright © 2022, AIDIC Servizi S.r.l.

10.
Thyroid ; 32(Supplement 1):A47-A48, 2022.
Article in English | EMBASE | ID: covidwho-2097289

ABSTRACT

OBJECTIVE: Angiotensin-converting enzyme 2 (ACE2) and neuropilin 1 (NRP1) were essential molecules mediating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The effects of typical cytokines in autoimmune thyroid diseases (AITDs), such as IFN-gamma, TNF-alpha, IL-4 on the expression of SARSCoV-2 infection-mediating molecules remained unclear. Hydrogen sulfide (H2S) had the effects of anti-virus in literatures. The purpose of our study was to explore whether IFN-gamma, TNF-alpha or IL-4 regulated ACE2 and NRP1 levels and whether H2S exerted protective roles in thyroid on SARS-CoV-2 infection by regulating these molecules. METHOD(S): Thyroid sections from the patients with HT (n = 18), GD (n = 18) and normal thyroid tissues (n = 18) were collected. Immunohistochemistry was used to detect the expression of ACE2 and NRP1. Human primary thyrocytes were stimulated with different concentrations of IFN-gamma, TNF-alpha and IL-4, respectively. Thyrocytes were further cultured with IFN-gamma, TNF-alpha or NaHS + IFN-gamma / TNF-alpha in vitro. ACE2 and NRP1 expression levels were examined by realtime PCR and Western blot. RESULT(S): Both ACE2 and NRP1 were expressed on human thyrocytes. ACE2 expressions in thyroid tissues were higher in HT group than normal thyroid group (P < 0.001) and staining scores for ACE2 had no relationship with serum levels of thyroid autoantibodies. NRP1 expressions in HT and GD thyroid tissues were higher than those in normal thyroid tissues (P < 0.0001) and the staining scores for NRP1 were positively correlated with serum levels of TgAb (r = 0.4627, P = 0.0024) and TPOAb (r = 0.3633, P = 0.0181). The mRNA levels of ACE2 and NRP1 were upregulated in a concentration-dependent manner for IFN-gamma and TNF-alpha in human primary thyrocytes (P < 0.05). IL-4 rarely had effects on ACE2 or NRP1 mRNA levels. After pre-treating with NaHS, we found that ACE2 and NRP1 protein expressions were downregulated compared to IFN-gamma or TNF-alpha treatment (P < 0.01). CONCLUSION(S): ACE2 and NRP1 expressions were more abundant in thyroid tissues from AITDs than normal thyroid tissues. ACE2 and NRP1 expressions were upregulated by IFN-gamma and TNF-alpha. H2S might exert a protective role against SARS-CoV-2 infection by downregulating ACE2 and NRP1 levels.

11.
Ieee Access ; 10:107010-107021, 2022.
Article in English | Web of Science | ID: covidwho-2083045

ABSTRACT

A continuous increase in privacy attacks has caused the research and application of differential privacy (DP) to gradually increase. We can improve the efficiency of the DP model by Optimizing its parameters significantly. Inspired by the performance of various optimization methods for differential privacy, this paper proposes an improved RDP-AdaBound optimization method with bias correction, which is called "AdaBias", to increase the performance of Renyi differential privacy (RDP). The bias correction is used to realize the learning rate and speed up the convergence by upper and lower bound functions. We evaluate our method on the three datasets by training two different privacy model. We further compare three traditional optimization algorithms, namely, RDP-SGD, RDP-Adagrad, and RDP-Adam. And we use AdaBias to verify the performance of privacy protection on the COVID-19 dataset. Experimental results show that the new variant better implements learning rate adjustment to accommodate updates of noisy gradients. As a result, it can achieve higher accuracy and lower losses with a lower privacy budget, thereby better protecting data privacy.

12.
International Journal of Contemporary Hospitality Management ; 2022.
Article in English | Scopus | ID: covidwho-2078057

ABSTRACT

Purpose: With the rapid development of sharing economy, travelers are facing choices between conventional hotels and the peer-to-peer sharing accommodation in urban tourism. The purpose of this study is to examine how travelers form their preferences in such choice situations and whether/how their preference formation mode would change with the COVID-19 pandemic. Design/methodology/approach: A relative preference model was constructed and estimated for both domestic and outbound tourists, based on two waves of survey data collected before and after the COVID-19. The results of this study were compared to derive the evolution of preference formation patterns. Findings: A set of 15 key value attributes and personal traits was identified, together with their differential effects with the pandemic. Their divergent effects between domestic and outbound trips were also delineated. Based on these findings, the competitive edges and advantageous market profiles were depicted for both hotel and sharing accommodation sectors. Originality/value: This study contributes to the knowledge of tourists’ preference between accommodation types and adds empirical evidences to the impact of the pandemic on tourist behavior patterns. Both hotel and sharing accommodation practitioners can benefit from the findings to enhance their competitiveness. © 2022, Emerald Publishing Limited.

13.
Journal of Geographical Sciences ; 31(7):1059-1081, 2021.
Article in English | Scopus | ID: covidwho-2075517

ABSTRACT

Coronavirus disease 2019 (COVID-19) is continuing to spread globally and still poses a great threat to human health. Since its outbreak, it has had catastrophic effects on human society. A visual method of analyzing COVID-19 case information using spatio-temporal objects with multi-granularity is proposed based on the officially provided case information. This analysis reveals the spread of the epidemic, from the perspective of spatio-temporal objects, to provide references for related research and the formulation of epidemic prevention and control measures. The case information is ed, descripted, represented, and analyzed in the form of spatio-temporal objects through the construction of spatio-temporal case objects, multi-level visual expressions, and spatial correlation analysis. The rationality of the method is verified through visualization scenarios of case information statistics for China, Henan cases, and cases related to Shulan. The results show that the proposed method is helpful in the research and judgment of the development trend of the epidemic, the discovery of the transmission law, and the spatial traceability of the cases. It has a good portability and good expansion performance, so it can be used for the visual analysis of case information for other regions and can help users quickly discover the potential knowledge this information contains. © 2021, Science in China Press.

14.
Biocybernetics and Biomedical Engineering ; 42(3):1051-1065, 2022.
Article in English | Web of Science | ID: covidwho-2068719

ABSTRACT

Overcrowding in emergency department (ED) causes lengthy waiting times, reduces ade-quate emergency care and increases rate of mortality. Accurate prediction of daily ED visits and allocating resources in advance is one of the solutions to ED overcrowding problem. In this paper, a deep stacked architecture is being proposed and applied to the daily ED visits prediction problem with deep components such as Long Short Term Memory (LSTM), Gated Recurrent Units (GRU) and simple Recurrent Neural Network (RNN). The proposed architec-ture achieves very high mean accuracy level (94.28-94.59%) in daily ED visits predictions. We have also compared the performance of this architecture with non-stacked deep mod-els and traditional prediction models. The results indicate that deep stacked models out-perform (4-7%) the traditional prediction models and other non-stacked deep learning models (1-2%) in our prediction tasks. The application of deep neural network in ED visits prediction is novel as this is one of the first studies to apply a deep stacked architecture in this field. Importantly, our models have achieved better prediction accuracy (in one case comparable) than the state-of-the-art in the literature.(c) 2022 Published by Elsevier B.V. on behalf of Nalecz Institute of Biocybernetics and Bio-medical Engineering of the Polish Academy of Sciences.

15.
Chinese Journal of Evidence-Based Medicine ; 20(3):365-368, 2020.
Article in Chinese | EMBASE | ID: covidwho-2067157

ABSTRACT

After the occurrence of public health emergencies, as the most direct front position, how to carry out medical treatment orderly, effectively, rapidly and safely in a short time has become the focus and difficulty of epidemic control. After the outbreak of 2019 novel coronavirus pneumonia (2019-nCoV), West China Hospital of Sichuan University, as a large-scale general hospital under the supervision of the CPC central committee, put people's life safety and health first, and attach great importance to the prevention and control of the epidemic. This paper introduces the ten measures taken by West China Hospital of Sichuan University to fight against the 2019-nCoV pneumonia, in order to provide reference for other hospitals. Copyright © 2020 West China University of Medical Science. All rights reserved.

16.
Proceedings of the 2022 International Conference on Management of Data (Sigmod '22) ; : 2405-2408, 2022.
Article in English | Web of Science | ID: covidwho-2042881

ABSTRACT

The prevalence of misinformation, both online and offline, has prompted a great demand of fact verification. Table-based fact verification aims to check whether a textual claim is supported or refuted based on relational tables. However, most of the existing approaches are in a closed-domain setting, which may not be realistic in practice. To address this problem, in this paper, we introduce OPENTFV, a user-friendly system that supports open domain table-based fact verification. Given a claim input by an end-user, OPENTFV retrieves the relevant tables, and provides a verification result for each table with an intuitive interpretation in natural language. We have implemented OPENTFV and demonstrated OPENTFV in two representative scenarios, COVID-19 claims fact verification based on academic tables and general fact verification on Wiki-tables.

17.
7th International Conference on Distance Education and Learning, ICDEL 2022 ; : 170-176, 2022.
Article in English | Scopus | ID: covidwho-2020438

ABSTRACT

In the last two decades, especially during the COVID-19 pandemic in the past two years, online teaching has been widely implemented in many countries. Learners' online learning experience is one of the important indicators to evaluate the effect of online learning. To understand the influencing factors of learners' online learning experience, this study investigated six students from a university in northern China through in-depth interviews. It is found that the students' online learning experience is affected by five factors: learning environment and technology, course contents and resources, learner's personality, teacher's ability, and teaching processes and methods. The findings of this study could provide a reference framework for online educators to improve online teaching. © 2022 ACM.

18.
International Journal of Contemporary Hospitality Management ; : 21, 2022.
Article in English | Web of Science | ID: covidwho-1985275

ABSTRACT

Purpose In light of the threat posed by the COVID-19 pandemic, Chinese authorities have called for the adoption of the individual dining style (IDS) as a preventive measure for the pandemic and a new norm for civilized code of conduct. Accordingly, this study aims to investigate the factors influencing the Chinese people's intention to adopt the IDS. Design/methodology/approach The authors applied the capability, opportunity and motivation model of behavior (COM-B) and identified potential predictors influencing the intention to adopt the IDS through a review of the literature. Data were collected through an online survey, and structural equation modeling was applied to test the hypotheses. Findings The results indicated that the most influential predictors were subjective norm, social norm, perceived benefit and past behavior, while the other predictors (including breaking habits, communal dining culture, perceived behavioral control, perceived health risk and social risk) had insignificant effects on the intention to adopt IDS. Practical implications First, educational public health messages should communicate the benefits of IDS. Second, persuasive public communication should focus on how people are implementing the target behavior rather than drawing attention to a minority who are disregarding it. Moreover, given the highly significant effects of subjective norm, public health campaigns should emphasize that adoption of the desired behavior expresses care for significant others. Originality/value The findings advance understanding of an underexplored topic, namely, how deeply ingrained ways of dining may be transformed in the current context. Applying the COM-B, the authors tested multiple variables to explain the intention to adopt IDS. The results suggest that some social influences (subjective norm and social norm) and reflective cognitive processes (perceived benefit) had the greatest impacts on behavior intentions. Moreover, the results indicate that threat of COVID-19 may not prompt people to change their dining styles. However, the benefits of IDS to prevent the spread of infectious diseases could lead to its wider adoption.

19.
Applied Economics ; : 18, 2022.
Article in English | Web of Science | ID: covidwho-1978074

ABSTRACT

Land finance is one of the economic phenomena in the process of urbanization in China. Studying the impact of urbanization on land finance may help us to better formulate urbanization policies, especially for developing countries. We use the microdata of urban land transactions in China from 2005 to 2016 and adopt a differences-in-differences method based on the county-to-district policy to investigate the impact of urbanization on land finance. We find that the urbanization reform has significantly increased the local government's reliance on land finance. We also find that the policy has a larger impact on land finance for undeveloped cities. Land finance provides a critical source of funds for the urbanization led by local governments, but with the further promotion of urbanization, the reliance on land finance by local governments will show a gradual downward trend. The mechanism test finds that urbanization promotes land finance dependence by increasing the transfer revenue and areas of existing construction land and infrastructure construction investment. The study of the impact of China's urbanization on land finance can serve as a reference for other developing countries' urbanization, and can further provide practical guidance for the promotion of China's new-type urbanization.

20.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS ; : 6064-6073, 2022.
Article in English | Web of Science | ID: covidwho-1967576

ABSTRACT

: Multiple-site mutated SARS-CoV-2 Delta and Omicron variants may trigger immune escape against existing monoclonal antibodies. Here, molecular dynamics simulations combined with the interaction entropy method reveal the escape mechanism of Delta/Omicron variants to Bamlanivimab/Etesevimab. The result shows the significantly reduced binding affinity of the Omicron variant for both antibodies, due to the introduction of positively charged residues that greatly weaken their electrostatic interactions. Meanwhile, significant structural deflection induces fewer atomic contacts and an unstable binding mode. As for the Delta variant, the reduced binding affinity for Bamlanivimab is owing to the alienation of the receptor-binding domain to the main part of this antibody, and the binding mode of the Delta variant to Etesevimab is similar to that of the wild type, suggesting that Etesevimab could still be effective against the Delta variant. We hope this work will provide timely theoretical insights into developing antibodies to prevalent and possible future variants of SARS-CoV-2.

SELECTION OF CITATIONS
SEARCH DETAIL