Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 20 de 110
Filter
1.
Environmental Pollution ; : 119308, 2022.
Article in English | ScienceDirect | ID: covidwho-1796874

ABSTRACT

Numerous epidemiological studies have shown a close relationship between outdoor air pollution and increased risks for cancer, infection, and cardiopulmonary diseases. However, very few studies have investigated the potential health effects of coexposure to airborne particulate matter (PM) and bioaerosols through the transmission of infectious agents, particularly under the current circumstances of the coronavirus disease 2019 pandemic. In this study, we aimed to identify urinary metabolite biomarkers that might serve as clinically predictive or diagnostic standards for relevant diseases in a real-time manner. We performed an unbiased gas/liquid chromatography–mass spectroscopy (GC/LC-MS) approach to detect urinary metabolites in 92 samples from young healthy individuals collected at three different time points after exposure to clean air, polluted ambient, or purified air, as well as two additional time points after air repollution or repurification. Subsequently, we compared the metabolomic profiles between the two time points using an integrated analysis, along with Kyoto Encyclopedia of Genes and Genomes-enriched pathway and time-series analysis. We identified 33 and 155 differential metabolites (DMs) associated with PM and bioaerosol exposure using GC/LC–MS and follow-up analyses, respectively. Our findings suggest that 16-dehydroprogesterone and 4-hydroxyphenylethanol in urine samples may serve as potential biomarkers to predict or diagnose PM- or bioaerosol-related diseases, respectively. The results indicated apparent differences between PM- and bioaerosol-associated DMs at five different time points and revealed dynamic alterations in the urinary metabolic profiles of young healthy humans with cyclic exposure to clean and polluted air environments. Our findings will help in investigating the detrimental health effects of short-term coexposure to airborne PM and bioaerosols in a real-time manner and improve clinically predictive or diagnostic strategies for preventing air pollution-related diseases.

2.
Journal of the World Aquaculture Society ; n/a(n/a), 2022.
Article in English | Wiley | ID: covidwho-1794608

ABSTRACT

We carried out a preliminary investigation to study the impact of COVID-19 on aquaculture in China and identify the strategies and measures that have been taken by the Chinese Government. The investigation involved questionnaire surveys designed for all stakeholders along the industrial chain, including grow-out farmers, seed producers, fish processors, fish traders, and feed companies engaged in the catfish sector in Hubei Province and the tilapia sector in Guangdong Province during the strict period of control and after these control measures were lifted. We also attempted to summarize the government interventions and measures taken by different stakeholders along the value chain to minimize the damage caused by COVID-19 and support the recovery of different sectors in the aquaculture industry. We found that due to delayed harvesting, fish stocks were held-up in ponds and normal farming was interrupted. Farmers and traders were more severely impacted by the pandemic than other sectors. Furthermore, a series of strategies and measures are recommended to cope with the pandemic and other similar risks in the future. We expect that this study will provide good evidence for international societies to support the aquaculture industry in minimizing the impact of the pandemic and the rapid recovery of the industry in the post-pandemic period.

3.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-330164

ABSTRACT

Objectives: Since the outbreak of coronavirus disease 2019 (COVID-19), it has caused serious casualties worldwide. In recent months, the virus has mutated into an increasingly infectious form (Delta variant) and spread rapidly. Methods In the current study, we analyzed the clinical, epidemiological and viral genetic characteristics of the first four imported Delta cases in Anhui Province, China. Results The four imported Delta cases developed chest inflammation, tissue damage and recovered after admission, the serum high-sensitivity C-reactive protein (hs-CRP) and CRP levels showed a first increasing and then decreasing trend. The changes of hs-CRP /CRP and serum neutralizing antibodies (Nab) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) levels were associated with the regression of chest lesions. The combination of genetic sequencing and epidemiological analysis suggested that the SARS-CoV-2 delta variant infection of these four patients may originate from Russia. Conclusions Our study found the certain correlations of serum hs-CRP/CRP and Nab levels with the occurrence, development and outcome of COVID-19 delta variant, suggesting that monitoring hs-CRP/CRP and Nab levels of COVID-19 delta variant patients at hospital admission may be useful for understanding the severity of patients’ current conditions.

4.
Evol Psychol Sci ; : 1-10, 2021 Nov 09.
Article in English | MEDLINE | ID: covidwho-1739471

ABSTRACT

The COVID-19 pandemic caught the world by surprise and raised many questions. One of the questions is whether infectious diseases indeed drive fast life history (LH) as the extent research suggests. This paper challenges this assumption and raises a different perspective. We argue that infectious diseases enact either slower or faster LH strategies and the related disease control behavior depending on disease severity. We tested and supported the theorization based on a sample of 662 adult residents drawn from all 32 provinces and administrative regions of mainland China. The findings help to broaden LH perspectives and to better understand unusual social phenomena arising from the COVID-19 pandemic.

5.
Disease Surveillance ; 36(10):981-984, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1726088

ABSTRACT

Objective: To assess the risk of public health emergencies, both the indigenous ones and the imported ones, which might occur in the mainland of China in October 2021.

6.
Chin Med J (Engl) ; 133(11): 1261-1267, 2020 Jun 05.
Article in English | MEDLINE | ID: covidwho-1722623

ABSTRACT

BACKGROUND: The 2019 novel coronavirus has caused the outbreak of the acute respiratory disease in Wuhan, Hubei Province of China since December 2019. This study was performed to analyze the clinical characteristics of patients who succumbed to and who recovered from 2019 novel coronavirus disease (COVID-19). METHODS: Clinical data were collected from two tertiary hospitals in Wuhan. A retrospective investigation was conducted to analyze the clinical characteristics of fatal cases of COVID-19 (death group) and we compare them with recovered patients (recovered group). Continuous variables were analyzed using the Mann-Whitney U test. Categorical variables were analyzed by χ test or Fisher exact test as appropriate. RESULTS: Our study enrolled 109 COVID-19 patients who died during hospitalization and 116 recovered patients. The median age of the death group was older than the recovered group (69 [62, 74] vs. 40 [33, 57] years, Z = 9.738, P < 0.001). More patients in the death group had underlying diseases (72.5% vs. 41.4%, χ = 22.105, P < 0.001). Patients in the death group had a significantly longer time of illness onset to hospitalization (10.0 [6.5, 12.0] vs. 7.0 [5.0, 10.0] days, Z = 3.216, P = 0.001). On admission, the proportions of patients with symptoms of dyspnea (70.6% vs. 19.0%, χ = 60.905, P < 0.001) and expectoration (32.1% vs. 12.1%, χ = 13.250, P < 0.001) were significantly higher in the death group. The blood oxygen saturation was significantly lower in the death group (85 [77, 91]% vs. 97 [95, 98]%, Z = 10.625, P < 0.001). The white blood cell (WBC) in death group was significantly higher on admission (7.23 [4.87, 11.17] vs. 4.52 [3.62, 5.88] ×10/L, Z = 7.618, P < 0.001). Patients in the death group exhibited significantly lower lymphocyte count (0.63 [0.40, 0.79] vs. 1.00 [0.72, 1.27] ×10/L, Z = 8.037, P < 0.001) and lymphocyte percentage (7.10 [4.45, 12.73]% vs. 23.50 [15.27, 31.25]%, Z = 10.315, P < 0.001) on admission, and the lymphocyte percentage continued to decrease during hospitalization (7.10 [4.45, 12.73]% vs. 2.91 [1.79, 6.13]%, Z = 5.242, P < 0.001). Alanine transaminase (22.00 [15.00, 34.00] vs. 18.70 [13.00, 30.38] U/L, Z = 2.592, P = 0.010), aspartate transaminase (34.00 [27.00, 47.00] vs. 22.00 [17.65, 31.75] U/L, Z = 7.308, P < 0.001), and creatinine levels (89.00 [72.00, 133.50] vs. 65.00 [54.60, 78.75] µmol/L, Z = 6.478, P < 0.001) were significantly higher in the death group than those in the recovered group. C-reactive protein (CRP) levels were also significantly higher in the death group on admission (109.25 [35.00, 170.28] vs. 3.22 [1.04, 21.80] mg/L, Z = 10.206, P < 0.001) and showed no significant improvement after treatment (109.25 [35.00, 170.28] vs. 81.60 [27.23, 179.08] mg/L, Z = 1.219, P = 0.233). The patients in the death group had more complications such as acute respiratory distress syndrome (ARDS) (89.9% vs. 8.6%, χ = 148.105, P < 0.001), acute cardiac injury (59.6% vs. 0.9%, χ = 93.222, P < 0.001), acute kidney injury (18.3% vs. 0%, χ = 23.257, P < 0.001), shock (11.9% vs. 0%, χ = 14.618, P < 0.001), and disseminated intravascular coagulation (DIC) (6.4% vs. 0%, χ = 7.655, P = 0.006). CONCLUSIONS: Compared to the recovered group, more patients in the death group exhibited characteristics of advanced age, pre-existing comorbidities, dyspnea, oxygen saturation decrease, increased WBC count, decreased lymphocytes, and elevated CRP levels. More patients in the death group had complications such as ARDS, acute cardiac injury, acute kidney injury, shock, and DIC.


Subject(s)
Betacoronavirus , Coronavirus Infections/complications , Pneumonia, Viral/complications , Adult , Aged , Aged, 80 and over , C-Reactive Protein/analysis , COVID-19 , Coronavirus Infections/mortality , Female , Humans , Male , Middle Aged , Oxygen/blood , Pandemics , Pneumonia, Viral/mortality , Retrospective Studies , SARS-CoV-2
7.
N Engl J Med ; 386(9): 837-846, 2022 03 03.
Article in English | MEDLINE | ID: covidwho-1721750

ABSTRACT

BACKGROUND: Respiratory syncytial virus (RSV) is a major cause of lower respiratory tract infection and hospitalization in infants. Nirsevimab is a monoclonal antibody to the RSV fusion protein that has an extended half-life. The efficacy and safety of nirsevimab in healthy late-preterm and term infants are uncertain. METHODS: We randomly assigned, in a 2:1 ratio, infants who had been born at a gestational age of at least 35 weeks to receive a single intramuscular injection of nirsevimab or placebo before the start of an RSV season. The primary efficacy end point was medically attended RSV-associated lower respiratory tract infection through 150 days after the injection. The secondary efficacy end point was hospitalization for RSV-associated lower respiratory tract infection through 150 days after the injection. RESULTS: A total of 1490 infants underwent randomization: 994 were assigned to the nirsevimab group and 496 to the placebo group. Medically attended RSV-associated lower respiratory tract infection occurred in 12 infants (1.2%) in the nirsevimab group and in 25 infants (5.0%) in the placebo group; these findings correspond to an efficacy of 74.5% (95% confidence interval [CI], 49.6 to 87.1; P<0.001) for nirsevimab. Hospitalization for RSV-associated lower respiratory tract infection occurred in 6 infants (0.6%) in the nirsevimab group and in 8 infants (1.6%) in the placebo group (efficacy, 62.1%; 95% CI, -8.6 to 86.8; P = 0.07). Among infants with data available to day 361, antidrug antibodies after baseline were detected in 58 of 951 (6.1%) in the nirsevimab group and in 5 of 473 (1.1%) in the placebo group. Serious adverse events were reported in 67 of 987 infants (6.8%) who received nirsevimab and in 36 of 491 infants (7.3%) who received placebo. CONCLUSIONS: A single injection of nirsevimab administered before the RSV season protected healthy late-preterm and term infants from medically attended RSV-associated lower respiratory tract infection. (Funded by MedImmune/AstraZeneca and Sanofi; MELODY ClinicalTrials.gov number, NCT03979313.).


Subject(s)
Antibodies, Monoclonal, Humanized/therapeutic use , Antiviral Agents/therapeutic use , Infant, Premature, Diseases/prevention & control , Infant, Premature , Respiratory Syncytial Virus Infections/prevention & control , Antibodies, Monoclonal, Humanized/administration & dosage , Antibodies, Monoclonal, Humanized/adverse effects , Antiviral Agents/administration & dosage , Antiviral Agents/adverse effects , Drug Administration Schedule , Female , Humans , Infant , Infant, Newborn , Injections, Intramuscular , Kaplan-Meier Estimate , Male
9.
Front Med (Lausanne) ; 9: 829273, 2022.
Article in English | MEDLINE | ID: covidwho-1715010

ABSTRACT

Detection of serum-specific SARS-CoV-2 antibody has become a complementary means for the identification of coronavirus disease 2019 (COVID-19). As we already know, the neutralizing antibody titers in patients with COVID-19 decrease during the course of time after convalescence, whereas the duration of antibody responses in the convalescent patients has not been defined clearly. In the current study, we collected 148 serum samples from 37 confirmed COVID-19 cases with different disease severities. The neutralizing antibodies (Nabs), IgM and IgG against COVID-19 were determined by CLIA Microparticle and microneutralization assay, respectively. The time duration of serum titers of SARS-CoV-2 antibodies were recorded. Our results indicate that IgG (94.44%) and Nabs (89.19%) can be detected at low levels within 190-266 days of disease onset. The findings can advance knowledge regarding the antibody detection results for COVID-19 patients and provide a method for evaluating the immune response after vaccination.

10.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324820

ABSTRACT

Background: COVID-19 is a newly emerging disease caused by a novel coronavirus (SARS-CoV-2), which spread globally in early 2020. Asymptomatic carriers of the virus contribute to the propagation of this disease, and the existence of asymptomatic infection has caused widespread fear and concern in the control of this pandemic. Methods: : In this study, we investigated the origin and transmission route of SARS-CoV-2 in Anhui’s two clusters, analyzed the role and infectiousness of asymptomatic patients in disease transmission, and characterized the complete spike gene sequences in the Anhui strains. Results: : We conducted an epidemiological investigation of two clusters caused by asymptomatic infections sequenced the spike gene of viruses isolated from 12 patients. All cases of the two clusters we investigated had clear contact histories, both from Wuhan, Hubei province. The viruses isolated from two outbreaks in Anhui were found to show a genetically close link to the virus from Wuhan. In addition, new single nucleotide variations were discovered in the spike gene. Conclusions: : Both clusters may have resulted from close contact and droplet-spreading and asymptomatic infections were identified as the initial cause. We also analyzed the infectiousness of asymptomatic cases and the challenges to the current epidemic to provided information for the development of control strategies.

11.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324819

ABSTRACT

The recent outbreak of the novel coronavirus (COVID-19) has infected millions of citizens worldwide and claimed many lives. This paper examines its impact on the Chinese e-commerce market by analyzing behavioral changes seen from a large online shopping platform. We first conduct a time series analysis to identify product categories that faced the most extensive disruptions. The time-lagged analysis shows that behavioral patterns seen in shopping actions are highly responsive to epidemic development. Based on these findings, we present a consumer demand prediction method by encompassing the epidemic statistics and behavioral features for COVID-19 related products. Experiment results demonstrate that our predictions outperform existing baselines and further extend to the long-term and province-level forecasts. We discuss how our market analysis and prediction can help better prepare for future pandemics by gaining an extra time to launch preventive steps.

12.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324269

ABSTRACT

Objective: To investigate the effectiveness of adjunctive corticosteroid therapy in patients with severe COVID-19. Methods: : We conducted a retrospective analysis of the difference in several outcomes between patients with severe COVID-19 who received corticosteroid therapy (the corticosteroid group) and patients with severe COVID-19 who did not receive corticosteroid therapy (the non-corticosteroid group). Results: : Seventy-five patients were included in this study. Of these, 47 patients were in the corticosteroid group and 28 patients were in the non-corticosteroid group. There were no differences between the two groups in the total length of hospital stay (LOS), the length of ICU stay, high-flow oxygen days, non-invasive ventilator days, invasive ventilation days, and mortality rate. Total lesion volume ratio, consolidation volume ratio and GGO volume ratio in the corticosteroid group decreased significantly on day 14, while those in the non-corticosteroid group did not show a significant decrease. Conclusions: : Our results show that adjunctive corticosteroid use did not significantly improve clinical outcomes in severe COVID-19 patients, but might promote the absorption of pulmonary lesions. Larger multicenter randomized controlled studies may be needed to confirm this.

13.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324242

ABSTRACT

The COVID-19 pandemic caused by SARS-CoV-2 poses a devastating threat to human society in terms of health, economy and lifestyle. Establishing accurate and real-time models to predict and assess the impact of the epidemic on the economy is instructive. We have designed a new model to quantitatively assess the impact of the COVID-19 on the economy of China’s mainland. The nominal GDP in the Q1 of 2020 that we predicted for China’s mainland with the Baidu Mi-gration Data is RMB 20,785.7 billion, which is less by 3.59% than that in 2019. The estimated val-ue is confirmed roughly by the official report released in April 17, 2020 (RMB 20,650 billion, 6.8% year-on-year declined). Strict control measures during the epidemic have greatly reduced Chi-na's economic activity and had a serious impact on the country's economy. Orderly promotion of population mobility plays a decisive role in economic recovery.

14.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322992

ABSTRACT

Background: The epidemic of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has spread worldwide, but the factors that may affect the SARS-CoV-2 viral shedding time in coronavirus disease 2019 (COVID-19) patients were rarely reported. Methods We retrospectively recruited 40 confirmed common COVID-19 patients and classified them into two groups according to the SARS-CoV-2 viral shedding time (group A (less than 10 days) and group B (10 days or more)). The demographic, laboratory parameters and chest computed tomography (CT) features on admission and the 3 rd day after treatment were analyzed respectively. Results Fourteen patients were in group A and 26 patients in group B, the median SARS-CoV-2 viral shedding time of the two groups was 7 and 16 days respectively. Compared to the group A, the comorbidity, epidemiological risk history, serum glucose and CD4/8 on admission were significantly higher in the group B (P<0.05). On the 3 rd day after treatment, the group B got significantly higher IL-6, IL-2R, TNF-α and CD4/8, and lower platelet and CD8 + T lymphocyte counts than group A (P<0.05). Logistic regression analyses revealed that the higher epidemiological risk history, serum glucose and CD4/8 on admission were significantly associated with a longer SARS-CoV-2 viral shedding time (OR=7.5, 11.41, 9.21 respectively, P<0.05), as well as the higher TNF-α and lower CD8 + T lymphocytes on the 3 rd day after treatment (OR=2.36, 0.98 respectively, P<0.05). Conclusions Our study provides the evidence that the prolonged SARS-CoV-2 viral shedding time might be correlated with the patients’ epidemiological risk history, as well as the serum glucose and CD4/8 on admission, TNF-α and CD8 + T lymphocytes on the 3 rd day after treatment. Our result may help clinicians to distinguish the patients with a prolonged viral shedding time at the early stage.

15.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322527

ABSTRACT

As the kinetics of novel coronavirus pneumonia (COVID-19) outbreak still going all over the world and we can't predict when it'll make that turnaround and start coming down, seeking ways to prevent and control this disease is particularly important. Here we describe the role of traditional Chinese medicine in preventing COVID-19. In this clinical observation study, we selected 65 people who came back from Hubei province as subjects and launched a mass drug administration with them. We collected the data of the days from Hubei, non-symptoms rate, temperature before and after administration of these people. We treated them by isolating for 14 days and taking Deng's Herbal Tea Granula once a day for seven days. Then we assessed the possible efficacy of Deng's Herbal Tea Granula on COVID-19. Enrolled people had an average age of 27 years old (3–66 years old), among which 34 (53.97%) were females, with a median temperature of 36.4℃ (36.1–36.8℃). The median of the days from Hubei was 16 days (10–27 days). None of them presents any abnormal clinical manifestation. Isolation is the most effective way to defend and control COVID-19, but accompanied by the treatment of Deng's Herbal Tea Granula may increase the power of prevention. Not only this plant solid beverage which made of Chinese medicine can keep the temperature of all the suspected people at a healthy and stable level, but also is suitable for a large group of ages.

16.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-315184

ABSTRACT

Background: Numerous epidemiological studies showed close relationships of outdoor air pollution with increased risk of cancer, infection, and cardiopulmonary diseases. However, a very limited number of studies investigate the potential biomarkers of the co-exposures of particle matters (PM) and bioaerosols, especially under current circumstances of the Coronavirus disease 2019 (COVID-19) pandemic. In the present study, we aimed to identify metabolic candidate biomarkers that are associated with co-exposure to PM and bioaerosols.Methods: We performed an unbiased gas/liquid chromatography-mass spectroscopy (GC/LC-MS) approach to detect urinary metabolites of 92 samples from young healthy individuals collected at three different time points with exposure to clean, polluted ambient, and purified air , followed by a cycling test after air re-pollution and re-purification with two additional time points. Subsequently, we compared metabolomic profiles in between two-time points via an integrated analysis, plus KEGG enriched pathway and time series analysis.Findings: We identified 33 and 155 differential metabolites (DMs) associated with PM and bioaerosol exposure, respectively. The results from KEGG data and time series analysis indicated significantly enriched pathways and dynamic alterations of metabolomic profiles, respectively. 16-Dehydroprogesterone and 4-Hydroxyphenylethanol in urine might be used as biomarkers for diagnosis of PM- or bioaerosol-relevant diseases.Interpretation: The present studies revealed dynamic alterations in urinary metabolites of young healthy humans with the cycling of the clean and polluted air environment. Our findings help to investigate detrimental health effects of airborne PM and bioaerosols in a real-time manner and improve clinically diagnostic tools for PM- and bioaerosol-related diseases.Funding Information: This work was financially supported by the National Natural Science Foundation of China [NSFC Grant no. 81673958, 82074262, and 81828010];CAMS Innovation Fund for Medical Sciences [CIFMS 2016-I2M-3-013];The Drug Innovation Major Project of China [2018ZX09711001-007-002].Declaration of Interests: The authors declare no conflicts of interest in this work.Ethics Approval Statement: Our study was approved by the Ethical Committee of Guang'anmen Hospital. All recruited subjects provided written informed consent.

17.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-309739

ABSTRACT

We propose two kinds of compartment models to study the transmission dynamics of COVID-19 virus and to explore the potential impact of the interventions, to disentangle how transmission is affected in different age group. Starting with an SEAIQR model by combining the effect from exposure, asymptomatic and quarantine, then extending the model to an two groups with ages below and above 65 years old, and classify the infectious individuals according to their severity, we focus our analysis on each model with and without vital dynamics. In the models with vital dynamics, we study the dynamical properties including the global stability of the disease free equilibrium and the existence of endemic equilibrium, with respect to the basic reproduction number. Whereas in the models without vital dynamics, we address the final epidemic size rigorously, which is one of the common but difficult questions regarding an epidemic. Finally, using the data of COVID-19 confirmed cases in Canada and Newfoundland & Labrador province, we can parameterize the models to estimate the basic reproduction number and the final epidemic size of disease transmission.

18.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-307709

ABSTRACT

Background: Nucleic acid amplification is the main method used to detect infections of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the false-negative rate of nucleic acid tests cannot be ignored. Methods: : Herein, we demonstrated genomic variations at the target sequences for the tests and the geographical distribution of the variations across countries by analyzing the whole-genome sequencing data of SARS-CoV-2 strains from the 2019 Novel Coronavirus Resource (2019nCoVR) database. Results: : Among the 21 pairs of primer sequences in regions ORF1ab, S, E, and N, the total length of primer and probe target sequences was 938bp, with 131(13.97%) variant loci in 2415 (38.96%) isolates. Primer targets in the N region contained the most variations that were distributed among the most isolates, and the E region contained the least. Single nucleotide polymorphisms were the most frequent variation, with C to T transitions being detected in the most variant loci. G to A transitions and G to C transversions were the most common and had the highest isolate density. Genomic variations at the three mutation sites N: 28881, N: 28882, and N: 28883 were the most commonly detected, including in 608 SARS-CoV-2 strains from 33 countries, especially in the United Kingdom, Portugal, and Belgium. Conclusions: : Our work comprehensively analyzed genomic variations on the target sequences of the nucleic acid amplification tests, offering evidence to optimize primer and probe target sequence selection, thereby improving the performance of the SARS-CoV-2 diagnostic test.

19.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-313355

ABSTRACT

The phase III BNT162b2 mRNA COVID-19 vaccine trial is based on a Bayesian design and analysis, and the main evidence of vaccine efficacy is presented in Bayesian statistics. Confusion and mistakes are produced in the presentation of the Bayesian results. Some key statistics, such as Bayesian credible intervals, are mislabeled and stated as confidence intervals. Posterior probabilities of the vaccine efficacy are not reported as the main results. We illustrate the main differences in the reporting of Bayesian analysis results for a clinical trial and provide four recommendations. We argue that statistical evidence from a Bayesian trial, when presented properly, is easier to interpret and directly addresses the main clinical questions, thereby better supporting regulatory decision making. We also recommend using abbreviation "BI" to represent Bayesian credible intervals as a differentiation to "CI" which stands for confidence interval.

20.
J Pharm Biomed Anal ; 211: 114632, 2022 Mar 20.
Article in English | MEDLINE | ID: covidwho-1665218

ABSTRACT

The incidence of depression has increased significantly during the COVID-19 pandemic. This disease is closely associated with serotonin 1A (5-HT1A) receptor and often treated by complex prescription containing Curcuma wenyujin Y. H. Chen et C. Ling. Therefore, we hypothesized that this herb contains bioactive compounds specially binding to the receptor. However, the rapid discovery of new ligands of 5-HT1A receptor is still challenging due to the lack of efficient screening methods. To address this problem, we developed and characterized a novel approach for the rapid screening of ligands by using immobilized 5-HT1A receptor as the chromatographic stationary phase. Briefly, haloalkane dehalogenase was fused at the C-terminal of 5-HT1A receptor, and the modified 5-HT1A receptor was immobilized on amino-microspheres by the reaction between haloalkane dehalogenase and 6-chlorohexanoic acid linker. Scanning electron microscope and X-ray photo-electron were used to characterize the morphology and element of the immobilized receptor. The binding of three specific ligands to 5-HT1A receptor was investigated by two different methods. Moreover, we examined the feasibility of 5-HT1A receptor colume in high throughput screening of new ligands from complex systems as exemplified by Curcuma wenyujin Y. H. Chen et C. Ling. Gweicurculactone, 2-hydroxy-1-(3,4-dihydroxybenzene)-7-(4'-hydroxybezene)-heptane and curcuminol F were identified as the ligands of 5-HT1A receptor with the binding energies of -7.06 kcal/mol, -7.77 kcal/mol and -5.26 kcal/mol, respectively. Collectively, these results indicated that the immobilized 5-HT1A receptor was capable of screening bioactive compound from complex system, providing an effective methodology for high throughput screening.


Subject(s)
Drugs, Chinese Herbal , Curcuma/chemistry , Drugs, Chinese Herbal/chemistry , High-Throughput Screening Assays , Ligands , Receptor, Serotonin, 5-HT1A
SELECTION OF CITATIONS
SEARCH DETAIL