Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 31
Filter
1.
Cell Reports ; : 110862, 2022.
Article in English | ScienceDirect | ID: covidwho-1821171

ABSTRACT

Summary The rapidly spreading Omicron variant is highly resistant to vaccines, convalescent sera and neutralizing antibodies (nAbs), highlighting the urgent need for potent therapeutic nAbs. Here, a panel of human nAbs from SARS-CoV-2 convalescent patients show diverse neutralization against Omicron, of which XMA01 and XMA04 maintain nanomolar affinities and excellent neutralization (IC50: ∼ 20 ng/ml). nAb XMA09 shows weak but unattenuated neutralization against all VOCs as well as SARS-CoV. Structural analysis reveals that the above three antibodies could synergistically bind to the RBDs of both wild-type and Omicron spikes and defines the critical determinants for nAb-mediated broad neutralizations. Three nAbs confer synergistic neutralization against Omicron, resulting from the inter-antibody interaction between XMA04 and XMA01(or XMA09). Furthermore, the XMA01/XMA04 cocktail provides synergistic protective against Beta and Omicron variants infection in hamsters. In summary, our results provide insights for the rational design of antibody cocktail therapeutics or universal vaccines against Omicron.

2.
Chinese Journal of School Health ; 43(1):38-40, 2022.
Article in Chinese | GIM | ID: covidwho-1761326

ABSTRACT

Objective: To explore the impact of public opinion on the attitude towards COVID-19 vaccination among parents of middle school students aged 12 to 17 years. Methods A total of 477 parents of middle school students were recruited online and offline. News reports and virtual online comments on the vaccination of children aged 12 to 17 were provided for them to read, after which all the parents reported their attitude towards COVID-19 vaccination for their child. Results Totally 73.55% of parents were willing to vaccinate their child. In addition, public opinion showed significant impacts on parental attitude towards COVID-19 vaccination (F=67.89, P < 0.01). After reading positive opinions (4.02..0.91), parental willingness to vaccinate was significantly higher than other comment conditions;Under the influence of negative opinions (2.56..0.88), parents' willingness to child vaccination was significantly lower than other opinion groups;There was no significant difference (P=0.77) between the neutral opinion group (3.71..0.79) and the control group (3.68..0.81). Conclusion The attitude towards child COVID-19 vaccination among parents of middle school students might be influenced by public opinions. Guidance on public opinion is key for child COVID-19 vaccination improvement.

4.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-329405

ABSTRACT

Antibody therapeutics for the treatment of COVID-19 has been highly successful while faces a challenge of the recent emergence of the Omicron variant which escapes the majority of existing SARS-CoV-2 neutralizing antibodies (nAbs). Here, we successfully generated a panel of SARS-CoV-2/SARS-CoV cross-neutralizing antibodies by sequential immunization of the two pseudoviruses. Of which, nAbs X01, X10 and X17 showed broadly neutralizing breadths against most variants of concern (VOCs) and X17 was further identified as a Class 5 nAb with undiminished neutralization against the Omicron variant. Cryo-EM structures of three-antibody in complex with the spike proteins of prototyped SARS-CoV-2, Delta, Omicron and SARS-CoV defined three non-overlapping conserved epitopes on the receptor-binding domain (RBD). The triple antibody cocktail exhibited enhanced resistance to viral escape and effective protection against the infection of Beta variant in hamsters. Our finding will aid the development of both antibody therapeutics and broad vaccines against SARS-CoV-2 and emerging variants.

5.
Computers & Industrial Engineering ; : 108043, 2022.
Article in English | ScienceDirect | ID: covidwho-1707224

ABSTRACT

The supply and demand shocks brought on by the Covid-19 crisis are forcing manufacturers everywhere to reassess or even reorganise their supply chains. This paper proposes a general framework that can achieve fast compositional modelling with stochastic performance evaluation process algebra (PEPA) for supply chain systems. The key feature of such a framework is the PEPA-based quantitative analysis approach which includes a new method for calculating response time based on compositional PEPA models. The framework aims to provide an efficient modelling prototype for supply chain systems while supporting accurate response time-based quantitative analysis. To our knowledge, this is the first work using process algebra-based compositional modelling to quantitatively analyse supply chain systems.

6.
EuropePMC;
Preprint in English | EuropePMC | ID: ppcovidwho-327136

ABSTRACT

The widespread SARS-CoV-2 in humans results in the continuous emergence of new variants. Recently emerged Omicron variant with multiple spike mutations sharply increases the risk of breakthrough infection or reinfection, highlighting the urgent need for new vaccines with broad-spectrum antigenic coverage. Using inter-lineage chimera and mutation patch strategies, we engineered a recombinant monomeric spike variant (STFK1628x), which showed high immunogenicity and mutually complementary antigenicity to its prototypic form (STFK). In hamsters, a bivalent vaccine comprised of STFK and STFK1628x elicited high titers of broad-spectrum antibodies to neutralize all 14 circulating SARS-CoV-2 variants, including Omicron;and fully protected vaccinees from intranasal SARS-CoV-2 challenges of either the ancestral strain or immune-evasive Beta variant. Strikingly, the vaccination of hamsters with the bivalent vaccine completely blocked the within-cage virus transmission to unvaccinated sentinels, for either the ancestral SARS-CoV-2 or Beta variant. Thus, our study provides new insights and antigen candidates for developing next-generation COVID-19 vaccines.

7.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324480

ABSTRACT

Background: Since December of 2019, novel coronavirus (SARS-CoV-2)-induced pneumonia (COVID-19) exploded in Wuhan, and rapidly spread throughout China. Patients with COVID-19 demonstrated quite different appearances and outcomes in clinical manifestations. We aimed to figure out whether risk factors of the cystatin C (CysC) and the CysC rangeability are influencing the prognosis of COVID-19 patients with or without type 2 diabetes mellitus (T2DM). Methods: : 675 T2DM patients and 602 non-T2DM patients were divided into low CysC group, high CysC group and low CysC rangeability group, high CysC rangeability group according to the serum CysC level and the change range of CysC. Demographic characteristics, clinical data and laboratory results of the four groups were collected and analyzed. Results: : Our data showed that COVID-19 patients with high CysC level and CysC rangeability had more organic damage and higher mortality rate compared to those with low level or low rangeability of CysC. Furthermore, patients with higher CysC level and CysC rangeability also demonstrated higher blood lymphocytes (lymph), C-reactive protein (CRP), alanine aminotransferase (ALT), aspartate aminotransferase (AST) which may greatly influence disease progression and poor prognosis of COVID-19. After adjusting for possible confounders, multivariate analysis revealed that CysC≤0.93mg/dl as a reference, CysC>0.93mg/dl were significantly associated with the risk of heart failure (OR=2.401, 95% CI: 1.118–5.156) and all-cause death (OR=2.734, 95% CI: 1.098-6.811);referring to CysC rangeability≤0, CysC rangeability>0 significantly associated with all-cause death (OR=4.029, 95% CI: 1.864-8.706). Further grouped by T2DM, these associations were stronger in T2DM than in non-T2DM. Conclusions: : It suggests that CysC level and CysC rangeability contribute to clinical manifestations and may influence the prognosis of COVID-19. The CysC is considered as a potential risk factor of the prognosis of COVID-19. Special medical care and appropriate intervention should be performed in COVID-19 patients with elevated CysC during hospitalization and later clinical follow-up, especially for those with T2DM.

8.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-317496

ABSTRACT

Background: More evidence in understanding the heterogeneity of COVID-19-associated acute respiratory distress syndrome (ARDS) and in improving strategy to increase the survival from the critical patients intubated is always needed. The study aimed to comprehensively explore the features of COVID-19-associated ARDS and the features and outcomes between the early and late intubation groups. Methods: : This retrospective cohort included 65 adult COVID-19 inpatients with ARDS at two hospitals in Hubei, China. The ARDS in these patients was diagnosed according to the Berlin criteria. We defined intubation within 7 days of ARDS diagnosis as ‘early’ intubation and that performed from the eighth day as ‘late’ intubation based on literatures. The outcomes were invasive mechanical ventilation and in-hospital death. The log-binomial regression models were used to explore the risk factors and the Kaplan-Meier statistic was used to estimate the risk of mortality. Results: : The median number of days from symptom onset to ARDS diagnosis was 11.0 (IQR, 8.0–13.0). Up to 84.1% COVID-19-related ARDS patients demonstrated multiple organ injuries. The mortality rates were 41.9% and 85.7% in moderate and severe ARDS. The early intubation and the late intubation had the differences in days from symptom onset/hospital admission/ARDS diagnosis to intubation (P = 0.023, P = 0.011, P < 0.001). Compared with the early-intubation group, the late-intubation group showed less severity at admission (median oxygenation index 159.0 95% CI 134.0-203.0 vs. 133.9 95% CI 98.3-183.2), but required more aggressive therapies (ICU 80% vs. 70%, CRRT 50% vs. 10%, prone-position 50% vs. 30%, and ECMO 50% vs. 10%) and had higher risk to die at hospital (RR, 3.18;95% CI 1.98-5.12). Conclusion: The ARDS caused by COVID-19 was not typical ARDS due to prolonged onset time, multiple organ injuries, and higher mortalities. The late-intubation group showed less severity at admission but higher risk of in-hospital death than the early-intubation group.

9.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-317495

ABSTRACT

Background: The reviews on the risk factors with ARDS and the worse outcomes concluded lacking robust data of risk factors to prevent COVID-19 and identified an urgent need for large sample and high-quality research in this area, as well as the features of the ARDS. Methods: : This retrospective cohort study included 333 COVID-19 inpatients at two hospitals in Hubei of China in 2020. The COVID-19-related ARDS was diagnosed according to the Berlin criteria. The outcomes were ARDS development and the intubation or in-hospital death. The cox proportional hazard ratio (HR) models were employed to determine the significant risk factors. Results: : The median number of days from symptom onset to ARDS diagnosis was 11.0 (IQR, 8.0–13.0). Up to 84.1% COVID-19-related ARDS patients demonstrated multiple organ injuries. The mortality rates were 41.9% and 85.7% in moderate and severe ARDS. The survival patients on invasive mechanical ventilation (IMV) had been intubated earlier since ARDS diagnosis than those who had not survived (5.5 median days, IQR 4.0-7.0 days versus 11.5 median days, IQR 6.0-14.0 days, P < 0.001). Males and all abnormal laboratory indices associated with the higher risk of ARDS (P<0.05) but were not linked with the risk of intubation or death (P>0.05). The sensitivity analyses found that lymphocyte count of < 1000 per mm3 at hospital admission were still significantly associated with developing ARDS when adjusting for age and male gender (HR, 4.10;95% CI, 2.40-7.10), and oxygenation index (OI) ratio < 150 were more likely to predict the intubation/death after age adjustment (HR, 2.50;95% CI, 1.17-5.30). Conclusion: The SARS-CoV-2-caused ARDS was not the typical ARDS according to Berlin criteria. The alive patients with IMV had been intubated earlier since ARDS diagnosis than those who had not survived. We identified male gender and abnormal laboratory indices associated with the ARDS but were not linked with the intubation/death. Sensitivity analysis concluded lymphocyte count of < 1000 per mm3 could predict ARDS while OI ratio less than 150 could predict intubation/death.

10.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-315306

ABSTRACT

The emergence of numerous variants of SARS-CoV-2, the causative agent of COVID-19, has presented new challenges to the global efforts to control the still ravaging COVID-19 pandemic. Here, we obtain two cross-neutralizing antibodies (7D6 and 6D6) that target Sarbecoviruses’ receptor binding domain (RBD) with sub-picomolar affinities and potently neutralize authentic SARS-CoV-2. Crystal structures show that both antibodies bind a cryptic site different from that recognized by existing antibodies and highly conserved across Sarbecovirus isolates. Binding of these two antibodies to the RBD clashes with the adjacent N-terminal domain and disrupts the viral spike. Significantly, both antibodies confer good mutation resistance to the currently circulating SARS-CoV-2 variants. Thus, our results have direct relevance to public health as options for passive antibody therapeutics and even active prophylactics, and can also inform the design of pan-sarbecovirus vaccines.

11.
Comput Intell Neurosci ; 2022: 4149477, 2022.
Article in English | MEDLINE | ID: covidwho-1638114

ABSTRACT

In order to control the spread of the COVID-19 virus, this study proposes an ARCN-SUTS (air railway composite network susceptible-untested-tested-susceptible) model based on the correlation characteristics of the air railway composite network in mainland China. Furthermore, this study also puts forward a broken-edge decision-making strategy for the purpose of making decision about the edge efficiently broken and avoiding the second outbreak of the virus spread to minimize the economic losses for railway and civil aviation companies. Finally, simulation results demonstrate that the proposed strategy can effectively control the spread of the virus with minimal economic losses.


Subject(s)
COVID-19 , China , Humans , SARS-CoV-2
12.
Brain ; 2021 Dec 16.
Article in English | MEDLINE | ID: covidwho-1594202

ABSTRACT

There is growing evidence that severe acute respiratory syndrome coronavirus 2 can affect the CNS. However, data on white matter and cognitive sequelae at the one-year follow-up are lacking. Therefore, we explored these characteristics in this study. We investigated 22 recovered coronavirus disease 2019 (COVID-19) patients and 21 matched healthy controls. Diffusion tensor imaging, diffusion kurtosis imaging and neurite orientation dispersion and density imaging were performed to identify white matter changes, and the subscales of the Wechsler Intelligence scale were used to assess cognitive function. Correlations between diffusion metrics, cognitive function, and other clinical characteristics were then examined. We also conducted subgroup analysis based on patient admission to the intensive care unit. The corona radiata, corpus callosum and superior longitudinal fasciculus had lower volume fraction of intracellular water in the recovered COVID-19 group than in the healthy control group. Patients who had been admitted to the intensive care unit had lower fractional anisotropy in the body of the corpus callosum than those who had not. Compared with the healthy controls, the recovered COVID-19 patients demonstrated no significant decline in cognitive function. White matter tended to present with fewer abnormalities for shorter hospital stays and longer follow-up times. Lower axonal density was detected in clinically recovered COVID-19 patients after one year. Patients who had been admitted to the intensive care unit had slightly more white matter abnormalities. No significant decline in cognitive function was found in recovered COVID-19 patients. The duration of hospital stay may be a predictor for white matter changes at the one-year follow-up.

13.
Neural Regen Res ; 17(7): 1576-1581, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1575953

ABSTRACT

Although some short-term follow-up studies have found that individuals recovering from coronavirus disease 2019 (COVID-19) exhibit anxiety, depression, and altered brain microstructure, their long-term physical problems, neuropsychiatric sequelae, and changes in brain function remain unknown. This observational cohort study collected 1-year follow-up data from 22 patients who had been hospitalized with COVID-19 (8 males and 11 females, aged 54.2 ± 8.7 years). Fatigue and myalgia were persistent symptoms at the 1-year follow-up. The resting state functional magnetic resonance imaging revealed that compared with 29 healthy controls (7 males and 18 females, aged 50.5 ± 11.6 years), COVID-19 survivors had greatly increased amplitude of low-frequency fluctuation (ALFF) values in the left precentral gyrus, middle frontal gyrus, inferior frontal gyrus of operculum, inferior frontal gyrus of triangle, insula, hippocampus, parahippocampal gyrus, fusiform gyrus, postcentral gyrus, inferior parietal angular gyrus, supramarginal gyrus, angular gyrus, thalamus, middle temporal gyrus, inferior temporal gyrus, caudate, and putamen. ALFF values in the left caudate of the COVID-19 survivors were positively correlated with their Athens Insomnia Scale scores, and those in the left precentral gyrus were positively correlated with neutrophil count during hospitalization. The long-term follow-up results suggest that the ALFF in brain regions related to mood and sleep regulation were altered in COVID-19 survivors. This can help us understand the neurobiological mechanisms of COVID-19-related neuropsychiatric sequelae. This study was approved by the Ethics Committee of the Second Xiangya Hospital of Central South University (approval No. 2020S004) on March 19, 2020.

14.
Sustainability ; 13(21):12059, 2021.
Article in English | ProQuest Central | ID: covidwho-1512619

ABSTRACT

In this study, based on the multi-source nature and humanities data of 270 Chinese cities from 2007 to2018, the spatio-temporal evolution characteristics of SO2 emissions are revealed by using Moran’s I, a hot spot analysis, kernel density, and standard deviation ellipse models. The spatial scale heterogeneity of influencing factors is explored by using the multiscale geographically weighted regression model to make the regression results more accurate and reliable. The results show that (1) SO2 emissions showed spatial clustering characteristics during the study period, decreased by 85.12% through pollution governance, and exhibited spatial heterogeneity of differentiation. (2) The spatial distribution direction of SO2 emissions’ standard deviation ellipse in cities was “northeast–southwest”. The gravity center of the SO2 emissions shifted to the northeast, from Zhumadian City to Zhoukou City in Henan Province. The results of hot spots showed a polarization trend of “clustering hot spots in the north and dispersing cold spots in the south”. (3) The MGWR model is more accurate than the OLS and classical GWR regressions. The different spatial bandwidths have a different effect on the identification of influencing factors. There were several main influencing factors on urban SO2 emissions: the regional innovation and entrepreneurship level, government intervention, and urban precipitation;important factors: population intensity, financial development, and foreign direct investment;secondary factors: industrial structure upgrading and road construction. Based on the above conclusions, this paper explores the spatial heterogeneity of urban SO2 emissions and their influencing factors, and provides empirical evidence and reference for the precise management of SO2 emission reduction in “one city, one policy”.

15.
Engineering (Beijing) ; 2021 Oct 23.
Article in English | MEDLINE | ID: covidwho-1474517

ABSTRACT

Current knowledge of the risk factors predicting the progression to severe coronavirus disease 2019 (COVID-19) among patients in community isolation who either are asymptomatic or only suffer from mild COVID-19 is very limited. Using a multivariable competing risk survival analysis, we herein identify several important predictors of progression to severe COVID-19-rather than to recovery-among patients in community isolation. A competing risk survival analysis was performed on time-to-event data from a cohort study of all COVID-19 patients (n = 1753) in the largest community isolation center in Wuhan, China, from opening to closing. The exposures were age, sex, respiratory symptoms, gastrointestinal symptoms, general symptoms, and computed tomography (CT) scan signs. The main outcomes were time to COVID-19 deterioration or recovery. The factors predicting progression to severe COVID-19 among the patients in community isolation were: male sex (hazard ratio (HR) = 1.29, 95% confidence interval (95%CI), 1.04-1.58, p = 0.018), young and old age, dyspnea (HR = 1.58, 95%CI, 1.24-2.01, p < 0.001), and CT signs of ground-glass opacity (HR = 1.39, 95%CI, 1.04-1.86, p = 0.024) and infiltrating shadows (HR= 1.84, 95%CI, 1.22-2.78, p = 0.004). The risk of progression was found to be lower among patients with nausea or vomiting (HR = 0.53, 95%CI, 0.30-0.96, p = 0.036) and headaches (HR = 0.54, 95%CI, 0.29-0.99, p = 0.046). Based on the results of this study, resource-poor settings, dyspnea, sex, and age can easily be used to identify mild COVID-19 patients who are at increased risk of progression. Looking for CT signs of ground-glass opacity and infiltrating shadows may be an affordable option to support triage decisions in resource-rich settings. Common and unspecific symptoms including headaches, nausea, and vomiting likely induced the selection for community isolation of COVID-19 patients who were relatively unlikely to deteriorate. Triage and prioritization outcomes could be boosted if strategies are incorporated to minimize the inefficient prioritization of harmless comorbidities.

16.
Front Endocrinol (Lausanne) ; 12: 727419, 2021.
Article in English | MEDLINE | ID: covidwho-1444039

ABSTRACT

Background: Blood parameters, such as neutrophil-to-lymphocyte ratio, have been identified as reliable inflammatory markers with diagnostic and predictive value for the coronavirus disease 2019 (COVID-19). However, novel hematological parameters derived from high-density lipoprotein-cholesterol (HDL-C) have rarely been studied as indicators for the risk of poor outcomes in patients with severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) infection. Here, we aimed to assess the prognostic value of these novel biomarkers in COVID-19 patients and the diabetes subgroup. Methods: We conducted a multicenter retrospective cohort study involving all hospitalized patients with COVID-19 from January to March 2020 in five hospitals in Wuhan, China. Demographics, clinical and laboratory findings, and outcomes were recorded. Neutrophil to HDL-C ratio (NHR), monocyte to HDL-C ratio (MHR), lymphocyte to HDL-C ratio (LHR), and platelet to HDL-C ratio (PHR) were investigated and compared in both the overall population and the subgroup with diabetes. The associations between blood parameters at admission with primary composite end-point events (including mechanical ventilation, admission to the intensive care unit, or death) were analyzed using Cox proportional hazards regression models. Receiver operating characteristic curves were used to compare the utility of different blood parameters. Results: Of 440 patients with COVID-19, 67 (15.2%) were critically ill. On admission, HDL-C concentration was decreased while NHR was high in patients with critical compared with non-critical COVID-19, and were independently associated with poor outcome as continuous variables in the overall population (HR: 0.213, 95% CI 0.090-0.507; HR: 1.066, 95% CI 1.030-1.103, respectively) after adjusting for confounding factors. Additionally, when HDL-C and NHR were examined as categorical variables, the HRs and 95% CIs for tertile 3 vs. tertile 1 were 0.280 (0.128-0.612) and 4.458 (1.817-10.938), respectively. Similar results were observed in the diabetes subgroup. ROC curves showed that the NHR had good performance in predicting worse outcomes. The cutoff point of the NHR was 5.50. However, the data in our present study could not confirm the possible predictive effect of LHR, MHR, and PHR on COVID-19 severity. Conclusion: Lower HDL-C concentrations and higher NHR at admission were observed in patients with critical COVID-19 than in those with noncritical COVID-19, and were significantly associated with a poor prognosis in COVID-19 patients as well as in the diabetes subgroup.


Subject(s)
COVID-19/blood , Cholesterol, HDL/blood , Diabetes Mellitus/blood , Aged , Biomarkers/blood , COVID-19/diagnosis , COVID-19/mortality , China , Diabetes Mellitus/diagnosis , Diabetes Mellitus/mortality , Female , Humans , Kaplan-Meier Estimate , Leukocytes/cytology , Male , Middle Aged , Prognosis , ROC Curve , Retrospective Studies , Severity of Illness Index
17.
Nat Commun ; 12(1): 5652, 2021 09 27.
Article in English | MEDLINE | ID: covidwho-1440473

ABSTRACT

The emergence of numerous variants of SARS-CoV-2, the causative agent of COVID-19, has presented new challenges to the global efforts to control the COVID-19 pandemic. Here, we obtain two cross-neutralizing antibodies (7D6 and 6D6) that target Sarbecoviruses' receptor-binding domain (RBD) with sub-picomolar affinities and potently neutralize authentic SARS-CoV-2. Crystal structures show that both antibodies bind a cryptic site different from that recognized by existing antibodies and highly conserved across Sarbecovirus isolates. Binding of these two antibodies to the RBD clashes with the adjacent N-terminal domain and disrupts the viral spike. Both antibodies confer good resistance to mutations in the currently circulating SARS-CoV-2 variants. Thus, our results have direct relevance to public health as options for passive antibody therapeutics and even active prophylactics. They can also inform the design of pan-sarbecovirus vaccines.


Subject(s)
Antibodies, Viral/immunology , Broadly Neutralizing Antibodies/immunology , COVID-19/therapy , Immunization, Passive/methods , SARS-CoV-2/immunology , Animals , Antibodies, Monoclonal/administration & dosage , Antibodies, Monoclonal/immunology , Antibodies, Monoclonal/isolation & purification , Antibodies, Monoclonal/metabolism , Antibodies, Viral/administration & dosage , Antibodies, Viral/isolation & purification , Antibodies, Viral/metabolism , Binding Sites/genetics , Binding Sites/immunology , Broadly Neutralizing Antibodies/administration & dosage , Broadly Neutralizing Antibodies/isolation & purification , Broadly Neutralizing Antibodies/metabolism , CHO Cells , COVID-19/epidemiology , COVID-19/immunology , COVID-19/virology , Chlorocebus aethiops , Cricetulus , Epitopes/immunology , HEK293 Cells , Humans , Mice , Middle East Respiratory Syndrome Coronavirus/genetics , Middle East Respiratory Syndrome Coronavirus/immunology , Neutralization Tests , Pandemics/prevention & control , Protein Multimerization , Receptors, Virus/metabolism , SARS-CoV-2/genetics , Sf9 Cells , Spike Glycoprotein, Coronavirus/genetics , Spike Glycoprotein, Coronavirus/immunology , Spike Glycoprotein, Coronavirus/metabolism , Vero Cells
18.
Chinese Medical Journal ; 134(2):241-242, 2021.
Article in English | CAB Abstracts | ID: covidwho-1408666

ABSTRACT

This article aimed to study the clinical characteristics of these patients admitted to Jianghan Fangcang shelter hospital, the largest Fangcang shelter hospital in Wuhan, China. It is worth highlighting that six patients had anosmia without nasal congestion as the initial symptom. At the time of discharge from the Fangcang shelter hospital, the findings on chest CT were alleviated in 95.5% (1241/1300) of the patients. However, only one patient had chest CT findings suggestive of disease progression. Symptomatic patients have higher CRP level and lower lymphocytes counts than asymptomatic patients, which might suggest that higher CRP level and lower lymphocytes counts were related to the severity of symptoms. However, CT characteristics were not statistically different between symptomatic and asymptomatic patients, which might indicate that CT characteristics were not associated with the severity of symptoms in non-critical patients. In conclusion, patients with fever and anosmia but without nasal congestion are more likely to be suffering from COVID-19. Higher CRP level and lower lymphocytes counts might relate to the severity of symptoms, while CT abnormalities were not associated with the severity of symptoms in non-critical patients.

19.
Front Endocrinol (Lausanne) ; 12: 642452, 2021.
Article in English | MEDLINE | ID: covidwho-1302108

ABSTRACT

Background: We investigated if the concentration and "rangeability" of cystatin C (CysC) influenced the prognosis of coronavirus disease 2019 (COVID-19) in patients suffering from, or not suffering from, type 2 diabetes mellitus (T2DM). Methods: A total of 675 T2DM patients and 572 non-T2DM patients were divided into "low" and "high" CysC groups and low and high CysC-rangeability groups according to serum CysC level and range of change of CysC level, respectively. Demographic characteristics, clinical data, and laboratory results of the four groups were analyzed. Results: COVID-19 patients with a high level and rangeability of CysC had more organ damage and a higher risk of death compared with those with a low level or low rangeability of CysC. Patients with a higher level and rangeability of CysC had more blood lymphocytes and higher levels of C-reactive protein, alanine aminotransferase, and aspartate aminotransferase. After adjustment for possible confounders, multivariate analysis revealed that CysC >0.93 mg/dL was significantly associated with the risk of heart failure (OR = 2.231, 95% CI: 1.125-5.312) and all-cause death (2.694, 1.161-6.252). CysC rangeability >0 was significantly associated with all-cause death (OR = 4.217, 95% CI: 1.953-9.106). These associations were stronger in patients suffering from T2DM than in those not suffering from T2DM. Conclusions: The level and rangeability of CysC may influence the prognosis of COVID-19. Special care and appropriate intervention should be undertaken in COVID-19 patients with an increased CysC level during hospitalization and follow-up, especially for those with T2DM.


Subject(s)
Biomarkers/blood , COVID-19/diagnosis , COVID-19/mortality , Cystatin C/blood , Diabetes Mellitus, Type 2/physiopathology , SARS-CoV-2/isolation & purification , Aged , COVID-19/blood , COVID-19/virology , Case-Control Studies , Female , Humans , Male , Middle Aged , Prognosis , Retrospective Studies , Risk Factors
20.
Renewable & Sustainable Energy Reviews ; 148:N.PAG-N.PAG, 2021.
Article in English | Academic Search Complete | ID: covidwho-1297224

ABSTRACT

The Chinese government has set an ambitious goal of achieving carbon neutrality by 2060. Realizing negative greenhouse gas (GHG) emissions will require technologies like anaerobic digestion to recover biomethane from organic biomass. As the world's main grain-producing country, China has abundant crop residues, >85% of which were utilized as fertilizer, fodder, industrial material, biofuel, and base material in 2019. However, the potential contribution of crop residues to energy and reduced GHG emissions following anaerobic digestion have been scarcely evaluated. Based on crop yield and the field residue index, the annual quantity of crop residues in China from 2000 to 2019 was estimated. The annual crop residue yield increased between 2003 and 2014, and then remained constant at ~970 × 106 t/a, with an estimated 495 × 106 t/a being available for biomethane production. This corresponded to a potential biomethane yield of 82.25 × 109 m3/a, which could have met 29.2% of the annual natural gas consumption and 2.25% of the annual energy consumption in China in 2018 and 2019, respectively. Furthermore, the estimated potential GHG emission reduction was 197 × 106 t/a (CO 2 equivalent), representing ~2% of China's GHG emissions in 2019. Nevertheless, to reach the expected goal, some crucial technical and equipment-oriented research and development should be promoted to adapt to the characteristics of China's crop residues and regional environment. Moreover, governmental support policies on subsidies would be required for the development of the biomethane industry, which should prioritize northern regions with relatively high quantities of crop residues. • Energy and GHG emission reduction potential of straw biogas in China was assessed. • Biomethane yield of 82.25 × 109 m3/a could be produced from available residues. • GHG emission reduction potential from residues could be 197 × 106 t CO 2 eq/a. • The utilization mode of straw may need to be restructured for carbon neutrality. • Recommendations were proposed to help overcome barriers in straw biogas industry. [ABSTRACT FROM AUTHOR] Copyright of Renewable & Sustainable Energy Reviews is the property of Pergamon Press - An Imprint of Elsevier Science 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.)

SELECTION OF CITATIONS
SEARCH DETAIL