Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 63
Filter
Add filters

Year range
1.
Hum Vaccin Immunother ; : 1-15, 2022 Jan 04.
Article in English | MEDLINE | ID: covidwho-1608704

ABSTRACT

The factors that lead to coronavirus disease 2019 (COVID-19) vaccine hesitancy among health-care workers (HCWs) are unclear. We aimed to identify the factors that influence HCWs' hesitancy, especially the influence of their social network. Using an online platform, we surveyed HCWs in Chongqing, China, in January 2021 to understand the factors that influence the COVID-19 vaccine hesitancy among HCWs. Proportional allocation stratified sampling method was used to recruit respondents. Multivariable logistic regression and social network analysis (SNA) were used to analyze the influence factors. A total of 5247 HCWs were included and 23.3% of them were vaccine-hesitant. Participants were more hesitant if they had chronic diseases (OR = 1.411, 95% CI: 1.146-1.738), worked in tertiary hospitals (OR = 1.546, 95% CI: 1.231-1.942), and reported a history of vaccine hesitancy (OR = 1.637, 95% CI: 1.395-1.920) and refusal toward other vaccines (OR = 2.433, 95% CI: 2.067-2.863). The participants with a social network to communicate COVID-19 immunization were less hesitant (OR = 0.850, 95% CI: 0.728-0.993). Several influential members with social networks were found in SNA. Most of these influential members in the networks were department leaders who were willing to get COVID-19 vaccines (P < .05). Hesitant subgroups among Chinese HCWs were linked to the lack of a social network to communicate COVID-19 immunization. Our findings may lead to tailored interventions to enhance COVID-19 vaccine uptake among HCWs by targeting key members in social network.

2.
Front Public Health ; 9: 745925, 2021.
Article in English | MEDLINE | ID: covidwho-1581122

ABSTRACT

The COVID-19 pandemic has disrupted much of day-to-day life in the US and around the world. Smokers have a higher risk of adverse outcomes due to COVID-19. This study investigated the impact of COVID-19 on risky behaviors and health changes in lower income African-American smokers eligible for Low dose computed tomography (LDCT) screening, who may be more adversely impacted by the COVID-19 pandemic. A total of 22 African-American daily smokers who were eligible for LDCT screening participated in this study. The mean age of participants was 61.2 years old (SD = 4.7), 77.3% of the smokers were female, all participants had an income below $20,000, and 63.6% were on Medicaid. Descriptive statistics were used to provide summary information on demographics, COVID-19, and health status. Results showed that participants increased cigarette smoking, spent more time on screens, increased sugary drink consumption, consumed more vegetables and fruits, and engaged in more gardening activities during the COVID-19 pandemic. However, participants also decreased physical activity time and slept less during the pandemic. In general, more than one-third of participants gained more body weight and reported increased stress and anxiety. Our results suggest that African-American smokers who qualify for LDCT screening should be encouraged to consider strategies not only for smoking cessation, but also risky behavior control and management.


Subject(s)
COVID-19 , Lung Neoplasms , African Americans , Early Detection of Cancer , Female , Humans , Lung Neoplasms/epidemiology , Middle Aged , Pandemics , SARS-CoV-2 , Smokers , United States/epidemiology
3.
Nat Commun ; 12(1): 7083, 2021 12 06.
Article in English | MEDLINE | ID: covidwho-1555251

ABSTRACT

The availability of viral entry factors is a prerequisite for the cross-species transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Large-scale single-cell screening of animal cells could reveal the expression patterns of viral entry genes in different hosts. However, such exploration for SARS-CoV-2 remains limited. Here, we perform single-nucleus RNA sequencing for 11 non-model species, including pets (cat, dog, hamster, and lizard), livestock (goat and rabbit), poultry (duck and pigeon), and wildlife (pangolin, tiger, and deer), and investigated the co-expression of ACE2 and TMPRSS2. Furthermore, cross-species analysis of the lung cell atlas of the studied mammals, reptiles, and birds reveals core developmental programs, critical connectomes, and conserved regulatory circuits among these evolutionarily distant species. Overall, our work provides a compendium of gene expression profiles for non-model animals, which could be employed to identify potential SARS-CoV-2 target cells and putative zoonotic reservoirs.

4.
Preprint in English | EuropePMC | ID: ppcovidwho-295348

ABSTRACT

Background: COVID-19 continues to spread globally, this study is the first to explore the impact of COVID-19 on the treatment and prognosis of rural and urban acute myocardial infarction (AMI) in developing country. Methods: A total of 128 patients with AMI in our hospital during the COVID-19 pandemic (January 25, 2020-March 24, 2020) were enrolled. As a control group, a total of 197 patients diagnosed with AMI from November 25, 2019 to January 24, 2020 were selected. A total of 1 year of follow-up was performed. In addition to basic clinical data, this study focused on the treatment time, Killip class and hospital stay, the event of interest was defined as MACE (all-cause death, reinfarction, new congestive heart failure). Results: Compared with Before COVID-19 group, the proportion of killip class≥2 was significantly higher in During COVID-19 group in AMI Total. In Rural AMI, hospital stay and the proportion of killip class≥2 were increased in During COVID-19 group. In STEMI Total and Rural STEMI, the treatment time in During COVID-19 group was longer than that in Before COVID-19 group, while only S to D Total and D to B were extended in Urban STEMI. The proportion of Invasive treatment time within 24 hours in NSTEMI patients was obviously lowered in During COVID-19 group. In AMI Total and Rural AMI, MACE and all-cause mortality were increased in During COVID-19 group compared with Before COVID-19 group. Through Kaplan-Meier analysis, it was found that the survival and the occurrences of MACE in AMI Total and Rural AMI were significantly higher in During COVID-19 group. Conclusion: COVID-19 pandemic can lead to delayed treatment and worse prognosis in AMI patients, and rural areas seem to be more worrying.

5.
Preprint in English | EuropePMC | ID: ppcovidwho-294373

ABSTRACT

Background: Although there are extensive data on admission co-variates and outcomes of persons with coronavirus infectious disease-2019 (COVID-19) at diverse geographic sites there are few if any subject-level comparisons between sites in regions and countries. We aim to comparatively investigate differences in hospital admission co-variates and outcomes of hospitalized people with COVID-19 between Wuhan City, China and the New York City region, USA. Methods We retrospectively collected clinical data on 1859 Hospitalized subjects with COVID-19 in Wuhan City, China 20 January to 4 April, 2020. Data on those 5700 hospitalized subjects with COVID-19 in the New York City region, USA 1 March to 4 April, 2020 was drawn from a published article by Richardson et al . Hospital admission co-variates (epidemiological, demographic and laboratory co-variates) and outcomes (rate of intensive care unit(ICU) admission, invasive mechanical ventilation(IMV), major organ failure and death and length of hospital stay) were compared between the two cohorts. Results Wuhan subjects were younger, more likely female, less likely to have co-morbidities and fever, more likely to have a blood lymphocyte concentration > 1×10E+9/L and less likely to have abnormal liver and cardiac function tests compared with the New York subjects. There were outcomes data on all Wuhan subjects and 2,634 New York subjects. Wuhan subjects had higher blood nadir median lymphocyte concentrations and longer hospitalizations, were less likely to receive IMV, ICU hospitalization and kidney replacement therapy. Amongst subjects not receiving IMV those in Wuhan were less likely to die compared with New York subjects. In contrast, risk of death was similar in subjects receiving IMV at both sites. Conclusions We found different hospital admission co-variates and outcomes between hospitalized persons with COVID-19 between Wuhan City and the New York region, which should be useful developing a comprehensive global understanding of the SARS-CoV-2 pandemic and COVID-19.

6.
New Waves ; 24(2):73-91, 2021.
Article in English | ProQuest Central | ID: covidwho-1535375

ABSTRACT

The recent coronavirus pandemic, combined with Trump's anti-China rhetoric, made the international students and scholars of Chinese origin the easy racist target. A qualitative case study with 34 undergraduate Chinese international students (CIS) and 10 of their chosen faculty members, the study examined CISs studying abroad experiences in a U.S. university before, during and after the pandemic. Guided by the frameworks of neo-racism and model minority stereotype, this study showed that before the pandemic, there was implicit racism directed toward CIS in the academia while explicit racist attack was evident during and after the outbreak of the pandemic. Practical applications were discussed focusing on how the U.S. higher educational institutes could create a more inclusive environment for the CIS and the other international students.

7.
Zhongguo Huanjing Kexue = China Environmental Science ; 41(8):3927, 2021.
Article in English | ProQuest Central | ID: covidwho-1498172

ABSTRACT

Based on the meteorological forecast data from the National Meteorological Bureau, this study developed an AERMOD-based pollution forecasting model for iron and steel plants, simulated air quality impacts of a typical iron and steel plant located in Hebei Province during the controlled period(from February to March in 2020) and the uncontrolled period(from April to October in 2020) of the COVID-19 epidemic, and validated the model with real monitoring air quality data. In case of adverse wind direction, the results showed that the average contribution of SO2, NOx and PM10 from the plant to three state-controlled monitoring stations were 20.19~33.81%, 17.49~23.46% and 2.02~2.69% respectively during the controlled period, and 13.43~21.01%, 11.09~20.92% and 1.20~2.22% during the uncontrolled period. The correlation coefficients between the forecast values of SO2, NOx and PM10 emission of the plant and the real monitoring values of the three state-controlled monitoring stations were higher in the controlled period(the highest values are 0.43,0.48 and 0.29, respectively, at individual monitoring station) compared with the uncontrolled period(the highest values are 0.42,0.39 and 0.07, respectively) due to the less interference from other anthropogenic emission sources during the controlled period.

8.
Genomics and Applied Biology ; 40(1):470-473, 2021.
Article in Chinese | GIM | ID: covidwho-1498003

ABSTRACT

Novel coronavirus pneumonia (COVID-19) grows with each passing day worldwide, and the number of infections is increasing. SARS-CoV-2, the virus that causes COVID-19, belongs to coronavirus, which is the same as severe acute respiratory syndrome coronavirus (SARS-CoV) in 2003. In this study, we analyzed and discussed the differences between coronaviruses of COVID-19 and SARS, as well as the intermediate hosts of the two coronaviruses, in order to provide a reference for the prevention and control of viral diseases from the perspective of wild animals, and also for the transmission of coronavirus.

9.
Atmospheric Chemistry and Physics ; 21(20):15431-15445, 2021.
Article in English | ProQuest Central | ID: covidwho-1471136

ABSTRACT

Due to the coronavirus disease 2019 (COVID-19) pandemic, human activities and industrial productions were strictly restricted during January–March 2020 in China. Despite the fact that anthropogenic aerosol emissions largely decreased, haze events still occurred. Characterization of aerosol transport pathways and attribution of aerosol sources from specific regions are beneficial to air quality and pandemic control strategies. This study establishes source–receptor relationships in various regions covering all of China during the COVID-19 outbreak based on the Community Atmosphere Model version 5 with Explicit Aerosol Source Tagging (CAM5-EAST). Our analysis shows that PM2.5 burden over the North China Plain between 30 January and 19 February is mostly contributed by local emissions (40 %–66 %). For other regions in China, PM2.5 burden is largely contributed from nonlocal sources. During the most polluted days of the COVID-19 outbreak, local emissions within the North China Plain and eastern China contributed 66 % and 87 % to the increase in surface PM2.5 concentrations, respectively. This is associated with the anomalous mid-tropospheric high pressure at the location of the climatological East Asia trough and the consequently weakened winds in the lower troposphere, leading to the local aerosol accumulation. The emissions outside China, especially those from South Asia and Southeast Asia, contribute over 50 % to the increase in PM2.5 concentration in southwestern China through transboundary transport during the most polluted day. As the reduction in emissions in the near future is desirable, aerosols from long-range transport and unfavorable meteorological conditions are increasingly important to regional air quality and need to be taken into account in clean-air plans.

10.
Front Med (Lausanne) ; 8: 705943, 2021.
Article in English | MEDLINE | ID: covidwho-1468348

ABSTRACT

Purpose: To estimate whether the city-specific lockdown in Shanghai induced by the COVID-19 pandemic affected preterm birth rates among uninfected pregnant women in different trimesters. Methods: The population-based retrospective cohort study was conducted in the International Peace Maternity and Child Health Hospital (IPMCH) in Shanghai, China. Pregnant women without COVID-19 received perinatal healthcare during lockdown (from January 24, 2020 to March 24, 2020) and non-lockdown (from January 24, 2019 to March 24, 2019) period and giving birth to a live infant at IPMCH were enrolled. 1:1 propensity score matching and Inverse probability of treatment weighting were used to evaluate preterm birth (<37 weeks), very preterm birth (<34 weeks), preterm birth with premature rupture of membranes (PROM-PTB), spontaneous preterm birth with intact membranes (S-PTB), and medically induced preterm birth (MI-PTB) between two groups. Results: 8,270 pregnant women were in the lockdown group, and 9,815 were in the non-lockdown group. Pregnant women in second trimester during lockdown had a higher risk of PTB than those during the non-lockdown period [OR: 1.43 (CI 1.01-2.02), ARD: 1.7% (CI 0.04-3.4%), p = 0.045]. Furthermore, pregnant women in third trimester during lockdown had a higher risk of PROM-PTB than those during the non-lockdown period [OR: 1.64 (CI 1.09-2.47), ARD: 0.9% (CI 0.2-1.6%), p = 0.02]; no group differences were found related to rates of VPTB, S-PTB or MI-PTB. Conclusion: In this cohort study in China, we found that there was an increased risk in preterm birth for non-infected women in COVID-19 lockdown who were in their second trimester.

12.
Bone Res ; 8: 8, 2020.
Article in English | MEDLINE | ID: covidwho-1452500

ABSTRACT

The most severe sequelae after rehabilitation from SARS are femoral head necrosis and pulmonary fibrosis. We performed a 15-year follow-up on the lung and bone conditions of SARS patients. We evaluated the recovery from lung damage and femoral head necrosis in an observational cohort study of SARS patients using pulmonary CT scans, hip joint MRI examinations, pulmonary function tests and hip joint function questionnaires. Eighty medical staff contracted SARS in 2003. Two patients died of SARS, and 78 were enrolled in this study from August 2003 to March 2018. Seventy-one patients completed the 15-year follow-up. The percentage of pulmonary lesions on CT scans diminished from 2003 (9.40 ± 7.83)% to 2004 (3.20 ± 4.78)% (P < 0.001) and remained stable thereafter until 2018 (4.60 ± 6.37)%. Between 2006 and 2018, the proportion of patients with interstitial changes who had improved pulmonary function was lower than that of patients without lesions, as demonstrated by the one-second ratio (FEV1/FVC%, t = 2.21, P = 0.04) and mid-flow of maximum expiration (FEF25%-75%, t = 2.76, P = 0.01). The volume of femoral head necrosis decreased significantly from 2003 (38.83 ± 21.01)% to 2005 (30.38 ± 20.23)% (P = 0.000 2), then declined slowly from 2005 to 2013 (28.99 ± 20.59)% and plateaued until 2018 (25.52 ± 15.51)%. Pulmonary interstitial damage and functional decline caused by SARS mostly recovered, with a greater extent of recovery within 2 years after rehabilitation. Femoral head necrosis induced by large doses of steroid pulse therapy in SARS patients was not progressive and was partially reversible.

13.
Cell Discov ; 7(1): 89, 2021 Sep 28.
Article in English | MEDLINE | ID: covidwho-1440469

ABSTRACT

SARS-CoV-2 outbreak has been declared by World Health Organization as a worldwide pandemic. However, there are many unknowns about the antigen-specific T-cell-mediated immune responses to SARS-CoV-2 infection. Here, we present both single-cell TCR-seq and RNA-seq to analyze the dynamics of TCR repertoire and immune metabolic functions of blood T cells collected from recently discharged COVID-19 patients. We found that while the diversity of TCR repertoire was increased in discharged patients, it returned to basal level ~1 week after becoming virus-free. The dynamics of T cell repertoire correlated with a profound shift of gene signatures from antiviral response to metabolism adaptation. We also demonstrated that the top expanded T cell clones (~10% of total T cells) display the key anti-viral features in CD8+ T cells, confirming a critical role of antigen-specific T cells in fighting against SARS-CoV-2. Our work provides a basis for further analysis of adaptive immunity in COVID-19 patients, and also has implications in developing a T-cell-based vaccine for SARS-CoV-2.

14.
Int J Med Sci ; 18(4): 1082-1095, 2021.
Article in English | MEDLINE | ID: covidwho-1436331

ABSTRACT

Background: As the spreading of the COVID-19 around the global, we investigated the characteristics and changes of symptoms in COVID-19 patients. Methods: This was an ambispective observational cohort study, and 133 confirmed COVID-19 patients were included and all symptoms over the course were analyzed qualitatively. The symptoms, their changes over the course in the cohort and in the different clinical types, etc. were illustrated. Differences in different periods and severities were analyzed through Chi square test, association with severity was analyzed through LASSO binomial logistic regression analysis. Inter-correlation and classification of symptoms were completed. Major symptoms were screened and their changes were illustrated. Results: A total of 43 symptoms with frequencies as 6067 in this cohort. Differences of symptoms in different stages and clinical types were significant. Expectoration, shortness of breath, dyspnea, diarrhea, poor appetite were positively but vomiting, waist discomfort, pharyngeal discomfort, acid reflux were negatively correlated with the combined-severe and critical type; dyspnea was correlated with the critical type. The 17 major symptoms were identified. The average daily frequency of symptoms per case was decreased continuously before the transition into the severe type and increased immediately one day before the transition and then decreased. It was decreased continuously before the transition date of the critical type and increased from the transition into the critical type to the next day and decreased thereafter. Dyspnea (P<0.001), shortness of breath (P<0.01) and chest distress (P<0.05) were correlated with death and their corresponding coefficient was 0.393, 0.258, 0.214, respectively. Conclusion: The symptoms of COVID-19 patients mainly related to upper respiratory tract infection, cardiopulmonary function, and digestive system. The mild type and the early stage in other types mainly related to upper respiratory tract infection. The cardiopulmonary function and digestive system associated symptoms were found in all other types and stages. Dyspnea was correlated with critical type, and dyspnea, shortness of breath and chest distress were correlated with death. Respiratory dysfunction (or incompleteness) associated symptoms were the characteristic symptoms. The changes of symptoms did not synchronously with the changes of severity before the transition into the severe or critical type.


Subject(s)
COVID-19/epidemiology , Adolescent , Adult , Aged , Aged, 80 and over , China/epidemiology , Cohort Studies , Female , Humans , Male , Middle Aged , SARS-CoV-2 , Severity of Illness Index , Young Adult
15.
J Infect Dis ; 224(6): 956-966, 2021 09 17.
Article in English | MEDLINE | ID: covidwho-1429243

ABSTRACT

BACKGROUND: Coronavirus disease 2019 (COVID-19) continues to be a major public health challenge globally. The identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived T-cell epitopes is of critical importance for peptide vaccines or diagnostic tools of COVID-19. METHODS: In this study, several SARS-CoV-2-derived human leukocyte antigen (HLA)-I binding peptides were predicted by NetMHCpan-4.1 and selected by Popcover to achieve pancoverage of the Chinese population. The top 5 ranked peptides derived from each protein of SARS-CoV-2 were then evaluated using peripheral blood mononuclear cells from unexposed individuals (negative for SARS-CoV-2 immunoglobulin G). RESULTS: Seven epitopes derived from 4 SARS-CoV-2 proteins were identified. It is interesting to note that most (5 of 7) of the SARS-CoV-2-derived peptides with predicted affinities for HLA-I molecules were identified as HLA-II-restricted epitopes and induced CD4+ T cell-dependent responses. These results complete missing pieces of pre-existing SARS-CoV-2-specific T cells and suggest that pre-existing T cells targeting all SARS-CoV-2-encoded proteins can be discovered in unexposed populations. CONCLUSIONS: In summary, in the current study, we present an alternative and effective strategy for the identification of T-cell epitopes of SARS-CoV-2 in healthy subjects, which may indicate an important role in the development of peptide vaccines for COVID-19.


Subject(s)
COVID-19 Vaccines/immunology , COVID-19/immunology , COVID-19/prevention & control , Epitopes, T-Lymphocyte/immunology , Vaccines, Subunit/immunology , CD4-Positive T-Lymphocytes/immunology , CD8-Positive T-Lymphocytes/immunology , Cell Line , Humans , Leukocytes, Mononuclear/immunology , SARS-CoV-2
16.
Front Cardiovasc Med ; 8: 710946, 2021.
Article in English | MEDLINE | ID: covidwho-1399130

ABSTRACT

Objectives: To evaluate the impact of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) on the inflammatory response and viral clearance in coronavirus disease 2019 (COVID-19) patients. Methods: We included 229 patients with confirmed COVID-19 in a multicenter, retrospective cohort study. Propensity score matching at a ratio of 1:3 was introduced to eliminate potential confounders. Patients were assigned to the ACEI/ARB group (n = 38) or control group (n = 114) according to whether they were current users of medication. Results: Compared to the control group, patients in the ACEI/ARB group had lower levels of plasma IL-1ß [(6.20 ± 0.38) vs. (9.30 ± 0.31) pg/ml, P = 0.020], IL-6 [(31.86 ± 4.07) vs. (48.47 ± 3.11) pg/ml, P = 0.041], IL-8 [(34.66 ± 1.90) vs. (47.93 ± 1.21) pg/ml, P = 0.027], and TNF-α [(6.11 ± 0.88) vs. (12.73 ± 0.26) pg/ml, P < 0.01]. Current users of ACEIs/ARBs seemed to have a higher rate of vasoconstrictive agents (20 vs. 6%, P < 0.01) than the control group. Decreased lymphocyte counts [(0.76 ± 0.31) vs. (1.01 ± 0.45)*109/L, P = 0.027] and elevated plasma levels of IL-10 [(9.91 ± 0.42) vs. (5.26 ± 0.21) pg/ml, P = 0.012] were also important discoveries in the ACEI/ARB group. Patients in the ACEI/ARB group had a prolonged duration of viral shedding [(24 ± 5) vs. (18 ± 5) days, P = 0.034] and increased length of hospitalization [(24 ± 11) vs. (15 ± 7) days, P < 0.01]. These trends were similar in patients with hypertension. Conclusions: Our findings did not provide evidence for a significant association between ACEI/ARB treatment and COVID-19 mortality. ACEIs/ARBs might decrease proinflammatory cytokines, but antiviral treatment should be enforced, and hemodynamics should be monitored closely. Since the limited influence on the ACEI/ARB treatment, they should not be withdrawn if there was no formal contraindication.

18.
BMC Health Serv Res ; 21(1): 875, 2021 Aug 26.
Article in English | MEDLINE | ID: covidwho-1371965

ABSTRACT

BACKGROUND: Warfarin treatment requires frequent monitoring of INR (international normalized ratio) to adjust dosage in a therapeutic range. In China, patients living in small towns usually go to tertiary hospitals to get warfarin monitoring and dosing, resulting in low frequencies of follow-ups and high incidence of complications. Influenced by the COVID-19 pandemic, patients on warfarin have further reduced their visits to healthcare institutions. While patient self-testing (PST) via using a point-of-care testing device for INR measuring at home has been widely used in developed countries and demonstrated improved clinical outcomes compared to usual care in clinics, it is rarely applied in developing countries, including China. This proposed study will develop and assess the "Safe Multidisciplinary App-assisted Remote patient-self-Testing (SMART) model" for warfarin home management in China during the COVID-19 pandemic. METHODS: This is a multi-center randomized controlled trial. We will carry out the study in three county hospitals, three small tertiary hospitals and three large tertiary hospitals with anticoagulation clinics in Hunan province of China. Eligible patients will be randomly assigned to the SMART model group (n = 360) or the control group (usual care clinic group, n = 360; anticoagulation clinic group, n = 120). Patients in the SMART model group do PST at home once every two to 4 weeks. Controls receive usual care in the clinics. All the patients will be followed up through outpatient clinics, phone call or online interviews at the 3rd, 6th, 9th and 12th month. The percentage of time in therapeutic range (TTR), incidence of warfarin associated major bleeding and thromboembolic events and costs will be compared between the SMART model group and control groups. DISCUSSION: Patients in the SMART model group would show improved TTR, lower incidence of complications and better quality of life compared to the control groups. Our design, implementation and usage of the SMART model will provide experience and evidence in developing a novel model for chronic disease management to solve the problem of healthcare service maldistribution, an issue particularly obvious in developing countries during the COVID-19 pandemic. TRIAL REGISTRATION: ChiCTR, ChiCTR 2000038984 . Registered 11 October, 2020.


Subject(s)
COVID-19 , Mobile Applications , Anticoagulants/adverse effects , Humans , International Normalized Ratio , Multicenter Studies as Topic , Pandemics/prevention & control , Quality of Life , Randomized Controlled Trials as Topic , SARS-CoV-2 , Self-Testing , Warfarin/adverse effects
19.
Cell Discov ; 7(1): 53, 2021 Jul 20.
Article in English | MEDLINE | ID: covidwho-1319024

ABSTRACT

Coronavirus disease 2019 (COVID-19), a pandemic disease caused by the newly emerging severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused more than 3.8 million deaths to date. Neutralizing antibodies are effective therapeutic measures. However, many naturally occurring mutations at the receptor-binding domain (RBD) have emerged, and some of them can evade existing neutralizing antibodies. Here, we utilized RenMab, a novel mouse carrying the entire human antibody variable region, for neutralizing antibody discovery. We obtained several potent RBD-blocking antibodies and categorized them into four distinct groups by epitope mapping. We determined the involved residues of the epitope of three representative antibodies by cryo-electron microscopy (Cryo-EM) studies. Moreover, we performed neutralizing experiments with 50 variant strains with single or combined mutations and found that the mixing of three epitope-distinct antibodies almost eliminated the mutant escape. Our study provides a sound basis for the rational design of fully human antibody cocktails against SARS-CoV-2 and pre-emergent coronaviral threats.

20.
Biomed Res Int ; 2021: 9939134, 2021.
Article in English | MEDLINE | ID: covidwho-1301740

ABSTRACT

COVID-19, a severe respiratory disease caused by a new type of coronavirus SARS-CoV-2, has been spreading all over the world. Patients infected with SARS-CoV-2 may have no pathogenic symptoms, i.e., presymptomatic patients and asymptomatic patients. Both patients could further spread the virus to other susceptible people, thereby making the control of COVID-19 difficult. The two major challenges for COVID-19 diagnosis at present are as follows: (1) patients could share similar symptoms with other respiratory infections, and (2) patients may not have any symptoms but could still spread the virus. Therefore, new biomarkers at different omics levels are required for the large-scale screening and diagnosis of COVID-19. Although some initial analyses could identify a group of candidate gene biomarkers for COVID-19, the previous work still could not identify biomarkers capable for clinical use in COVID-19, which requires disease-specific diagnosis compared with other multiple infectious diseases. As an extension of the previous study, optimized machine learning models were applied in the present study to identify some specific qualitative host biomarkers associated with COVID-19 infection on the basis of a publicly released transcriptomic dataset, which included healthy controls and patients with bacterial infection, influenza, COVID-19, and other kinds of coronavirus. This dataset was first analysed by Boruta, Max-Relevance and Min-Redundancy feature selection methods one by one, resulting in a feature list. This list was fed into the incremental feature selection method, incorporating one of the classification algorithms to extract essential biomarkers and build efficient classifiers and classification rules. The capacity of these findings to distinguish COVID-19 with other similar respiratory infectious diseases at the transcriptomic level was also validated, which may improve the efficacy and accuracy of COVID-19 diagnosis.


Subject(s)
COVID-19 Testing/methods , COVID-19/diagnosis , COVID-19/genetics , Biomarkers/analysis , COVID-19/blood , Databases, Genetic , Gene Expression Profiling/methods , Humans , Influenza, Human , Machine Learning , Mass Screening/methods , Models, Theoretical , Respiratory Tract Infections/blood , Respiratory Tract Infections/diagnosis , SARS-CoV-2/genetics , SARS-CoV-2/pathogenicity , Transcriptome/genetics
SELECTION OF CITATIONS
SEARCH DETAIL
...