Investigations on the concordance in monozygotic (MZ) as compared to dizygotic (DZ) twins may reveal if there is a genetic component increasing the susceptibility or resistance against an infectious disease. Here, we compared the concordance rates of SARS-CoV-2 infection in MZ versus DZ young twins who shared the same bedrooms and were equally exposed to the virus. The concordance rate was higher in the MZ group supporting a complex multifactorial inheritance responsible for SARS-Cov-2 infection.
Background SARS-CoV-2 has caused a worldwide epidemic of enormous proportions, which resulted in different mortality rates in different countries for unknown reasons. Aim We aimed to evaluate which independent parameters are associated with risk of mortality from COVID-19 in a series that includes all Italian cases, ie, more than 4 million individuals infected with the SARS-CoV-2 coronavirus. Methods We analyzed factors associated with mortality using data from the Italian national database of SARS-CoV-2-positive cases, including more than 4 million cases, >415 thousand hospitalized for coronavirus disease-19 (COVID-19) and >127 thousand deceased. For patients for whom age, sex and date of infection detection were available, we determined the impact of these variables on mortality 30 days after the date of diagnosis or hospitalization. Results Multivariable Cox analysis showed that each of the analyzed variables independently affected COVID-19 mortality. Specifically, in the overall series, age was the main risk factor for mortality, with HR >100 in the age groups older than 65 years compared with a reference group of 15-44 years. Male sex presented an excess risk of death (HR = 2.1; 95% CI, 2.0-2.1). Patients infected in the first pandemic wave (before 30 June 2020) had a greater risk of death than those infected later (HR = 2.7; 95% CI, 2.7-2.8). Conclusions In a series of all confirmed SARS-CoV-2-infected cases in an entire European nation, elderly age was by far the most significant risk factor for COVID-19 mortality, confirming that protecting the elderly should be a priority in pandemic management. Male sex and being infected during the first wave were additional risk factors associated with COVID-19 mortality.
Background Community lockdowns during the coronavirus disease 2019 (COVID-19) pandemic may influence preterm birth rates, but mechanisms are unclear. Methods We compared neonatal outcomes of preterm infants born to mothers exposed to community lockdowns in 2020 (exposed group) to those born in 2019 (control group). Main outcome studied was composite of significant neonatal morbidity or death. Results Median gestational age was 35+4 weeks (295 infants, exposed group) vs. 35+0 weeks (347 infants, control group) (p = 0.108). The main outcome occurred in 36/295 (12.2%) infants in exposed group vs. 46/347 (13.3%) in control group (p = 0.69). Continuous positive airway pressure (CPAP) use, jaundice requiring phototherapy, hypoglycaemia requiring treatment, early neonatal white cell and neutrophil counts were significantly reduced in the exposed group. Conclusions COVID-19 community lockdowns did not alter composite neonatal outcomes in preterm infants, but reduced rates of some common outcomes as well as early neonatal inflammatory markers.
Background: The COVID-19 pandemic has had large impacts on population health. These impacts are less well understood in low-and middle-income countries, where mortality surveillance before the pandemic was patchy. Although limited all-cause mortality data are available in India, interpreting this data remains a challenge. Objective: We use existing data on all-cause mortality from civil registration systems of twelve Indian states comprising around 60% of the national population to understand the scale and timing of excess deaths in India during the COVID-19 pandemic. Methods: We characterize the available data, discuss the various reasons why these data are incomplete, and estimate the extent of coverage in the data. Comparing the pandemic period to 2019, we estimate excess mortality in twelve Indian states, and extrapolate our estimates to the rest of India. We explore sensitivity of the estimates to various assumptions, and present optimistic and pessimistic scenarios along with our central estimates. Results: For the 12 states with available all-cause mortality data, we document an increase of 28% in deaths during April 2020-May 2021 relative to expectations from 2019. This level of increase in mortality, if it applies nationally, would imply 2.8-2.9 million excess deaths. More limited data from June 2021 increases national estimates of excess deaths during April 2020-June 2021 to 3.8 million. With more optimistic or pessimistic assumptions, excess deaths during this period could credibly lie between 2.8 million and 5.2 million. We find that the scale of estimated excess deaths is broadly consistent with expectations based on seroprevalence data and international data on COVID-19 fatality rates. Moreover, there is a strong association between the timing of excess deaths, and of recorded COVID-19 deaths. Contribution: We show that the surveillance of pandemic mortality in India has been extremely poor, with around 8-10 times as many excess deaths as officially recorded COVID-19 deaths. Our findings highlight the utility of all-cause mortality data, as well as the significant challenges in interpreting such data from LMICs. These data reveal that India is among the countries most severely impacted by the pandemic. It is likely that in absolute terms India has seen the highest number of pandemic excess deaths of any country in the world.
The impacts of COVID-19 outbreak on socio-economic status of countries across the globe cannot be overemphasized as we examine the role it played in various countries. A lot of people were out of jobs, many households were careful of their spending and a greater social fracture of the population in fourteen different countries has emerged. We considered periods of infection spread during the first and second wave in Organization for Economic Co-operation and Development (OECD) countries and countries in Africa, that is developed and developing countries alongside their social- economic data. We established a mathematical and statistical relationship between Theil and Gini index, then we studied the relationship between the data from epidemiology and socio-economic determinants using several machine learning and deep learning methods. High correlations were observed between some of the socio-economic and epidemiologic parameters and we predicted three of the socio-economic variables in order to validate our results. These result shows a sharp difference between the first and second wave of the pandemic confirming the real dynamics of the spread of the outbreak in several countries and ways by which it was mitigated.
The COVID-19 pandemic is complicated by cases of vaccine-breakthrough, re-infection, and widespread transmission of variants of concern (VOC). Consequently, the need to interpret longitudinal positive SARS-CoV-2 (SCV-2) tests is crucial in guiding clinical decisions regarding infection control precautions and treatment. Although quantitative tests are not routinely used diagnostically, standard diagnostic RT-PCR tests yield Ct values that are inversely correlated with RNA quantity. In this study, we performed a retrospective review of 72,217 SCV-2 PCR positive tests and identified 264 patients with longitudinal positivity prior to vaccination and VOC circulation. Patients with longitudinal positivity fell into two categories: short-term (207, 78%) or prolonged (57, 22%) positivity, defined as <= 28 (range 1-28, median 16) days and >28 (range 29- 152, median 41) days, respectively. In general, Ct values declined over time in both groups; however, 11 short-term positive patients had greater amounts of RNA detected at their terminal test compared to the first positive, and 5 patients had RNA detected at Ct < 35 at least 40 days after initial infection. Oscillating positive and negative results occurred in both groups, although oscillation was seen three times more frequently in prolonged-positive patients. Patients with prolonged positivity had diverse clinical characteristics but were often critically ill and were discharged to high-level care or deceased (22%). Overall, this study demonstrates that caution must be emphasized when interpreting Ct values as a proxy for infectivity, predictor of severity, or a guide for patient care decisions in the absence of additional clinical context.
Mathematical models have been widely used during the ongoing SARS-CoV-2 pandemic for data interpretation, forecasting, and policy making. However, most models are based on officially reported case numbers, which depend on test availability and test strategies. The time dependence of these factors renders interpretation difficult and might even result in estimation biases. Here, we present a computational modelling framework that allows for the integration of reported case numbers with seroprevalence estimates obtained from representative population cohorts. To account for the time dependence of infection and testing rates, we embed flexible splines in an epidemiological model. The parameters of these splines are estimated, along with the other parameters, from the available data using a Bayesian approach. The application of this approach to the official case numbers reported for Munich (Germany) and the seroprevalence reported by the prospective COVID-19 Cohort Munich (KoCo19) provides first estimates for the time dependence of the under- reporting factor. Furthermore, we estimate how the effectiveness of non-pharmaceutical interventions and of the testing strategy evolves over time. Overall, our results show that the integration of temporally highly resolved and representative data is beneficial for accurate epidemiological analyses.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNA vaccines elicit higher levels of antibodies compared to natural SARS-CoV-2 infections in most individuals; however, the specificities of antibodies elicited by vaccination versus infection remain incompletely understood. Here, we characterized the magnitude and specificity of SARS-CoV-2 spike-reactive antibodies from 10 acutely infected health care workers and 23 participants who received mRNA- based SARS-CoV-2 vaccines. We found that infection and primary mRNA vaccination elicited S1 and S2-reactive antibodies, while secondary vaccination boosted mostly S1 antibodies. Using magnetic bead-based absorption assays, we found that SARS-CoV-2 infections elicited a large proportion of original antigenic sin-like antibodies that bound efficiently to common seasonal human coronaviruses but poorly to SARS-CoV-2. In converse, vaccination only modestly boosted antibodies reactive to common seasonal human coronaviruses and these antibodies bound efficiently to SARS-CoV-2. Our data indicate that SARS-CoV-2 mRNA vaccinations elicit fundamentally different antibody responses compared to SARS-CoV-2 infections.
Introduction To retrospectively assess the accuracy of a mathematical modelling study that projected the rate of COVID-19 diagnoses for 72 locations worldwide in 2021, and to identify predictors of model accuracy. Methods Between June and August 2020, an agent-based model was used to project rates of COVID-19 infection incidence and cases diagnosed as positive from 15 September to 31 October 2020 for 72 geographic settings. Five scenarios were modelled: a baseline scenario where no future changes were made to existing restrictions, and four scenarios representing small or moderate changes in restrictions at two intervals. Post hoc, upper and lower bounds for number of diagnosed Covid-19 cases were compared with actual data collected during the prediction window. A regression analysis with 17 covariates was performed to determine correlates of accurate projections. Results The actual data fell within the lower and upper bounds in 27 settings and out of bounds in 45 settings. The only statistically significant predictor of actual data within the predicted bounds was correct assumptions about future policy changes (OR = 15.04; 95%CI 2.20-208.70; p=0.016). Conclusions For this study, the accuracy of COVID-19 model projections was dependent on whether assumptions about future policies are correct. Frequent changes in restrictions implemented by governments, which the modelling team was not always able to predict, in part explains why the majority of model projections were inaccurate compared with actual outcomes and supports revision of projections when policies are changed as well as the importance of policy experts collaborating on modelling projects.
Background and Aim: While considerable success has been achieved in the management of patients hospitalized with severe coronavirus disease 2019 (COVID-19), far less progress has been made with early outpatient treatment. We assessed whether the implementation of a home treatment algorithm, designed based upon on a pathophysiologic and pharmacologic rationale, during the initial, mild phase of COVID-19, could effectively reduce hospital admissions. Methods: This fully academic, matched-cohort study evaluated outcomes in 108 consecutive consenting patients with mild COVID-19 managed at home by their family doctors from January 2021 to May 2021, according to the proposed treatment algorithm and in 108 age-, sex-, and comorbidities-matched patients who were given other therapeutic schedules (ClinicalTrials.gov: NCT04854824). The primary outcome was COVID-19-related hospitalization. Analyses were by intention- to-treat. Results: One (0.9%) patient in the recommended cohort and 12 (11.1%) in the control cohort were admitted to hospital (P=0.0136). The proposed algorithm reduced, by 85%, the cumulative length of hospital stays (from 141 to 19 days) and related costs (from Euro 60.316 to Euro 9.058). Only 9.8 patients needed to be treated with the recommended algorithm to prevent one hospitalization event. The rate of resolution of major symptoms was numerically, but not significantly, higher in the recommended compared to the control cohort (97.2% versus 93.5%, respectively; P=0.322). Other symptoms lingered in a lower proportion of patients in the recommended than in the control cohort (20.4% versus 63.9%, respectively; P<0.001), and for a shorter period. Conclusion: The adoption of the proposed outpatient treatment algorithm during the early, mild phase of COVID-19 reduced the incidence of subsequent hospitalization and related costs.
The COVID-19 pandemic brought a series of challenges to the academic community. Social distancing measures imposed the interruption of face-to-face activities besides the implementation of remote work and online classes. For safe and gradual return, the monitoring of individuals, quick detection of infection, contact tracing, and isolation of those infected became essential. In this sense, we developed strategies to face the pandemic at the Federal University of Lavras (UFLA) - Brazil. A Telemedicine Program (TeleCovid) and the assemblage of a laboratory for SARS-CoV-2 molecular diagnosis (LabCovid) were essential measures for monitoring, preventing, and controlling outbreaks at the university. TeleCovid works with a team of students who guide and answer questions regarding COVID-19 and, when necessary, make the referral for online consultation with medical professionals. In the suspicion of SARS-CoV-2 infection, the doctor refers the patient for testing at LabCovid. LabCovid performs the sample collection using nasal swabs, followed by processing samples by the RT-qPCR method. We have placed all positive patients in isolation and tested their contacts. This approach meant that positive cases were identified early, thus avoiding outbreaks in different environments in face-to-face activities.
The COVID-19 pandemic, like past natural disasters, was associated with significant disruptions in medications for opioid use disorder services and increased opioid overdose and mortality. We examined the association between community vulnerability to disasters and pandemics and geographic access to each of the three medications for opioid use disorder within the continental US and if this association was impacted by urban, suburban, or rural classification. We found communities with greater vulnerability did not have greater geographic access to medications for opioid use disorder and the mismatch between vulnerability and medication access was greatest in suburban communities. Rural communities had poor geographic access to all three medications regardless of vulnerability. Future disaster preparedness planning should include anticipation of access to medications for opioid use disorder and better match the location of services to communities with greater vulnerability to prevent inequities in opioid overdose deaths.
Background Data on outcomes for people with gout and COVID-19 are extremely few. Our primary objective was to assess whether gout is a risk factor for diagnosis of COVID-19 and death related to COVID-19. The secondary objectives were to test for sex- and drug-specific differences in risk. Methods We used data from the UK Biobank that included 15,560 people with gout. Multivariable-adjusted logistic regression was employed in the following analyses using a case- control study design: Analysis A, to test for association between gout and COVID-19 diagnosis (n=459,837); Analysis B, to test for association between gout and death related to COVID-19 in a case-control cohort of people who died or survived with COVID-19 (n=16,336); Analysis C, to test for association between gout and death related to COVID-19 in the entire UK Biobank cohort (n=459,837); Analysis D, to stratify by prescription of urate-lowering therapy (ULT) and colchicine on the risk of death related to COVID-19 in a subset of the UK Biobank cohort with medication data (n=341,398). Findings Gout was associated with diagnosis of COVID-19 in analysis A (OR=1.2 [1.1 ; 1.3]) but not with risk of death in the COVID-19-diagnosed group in analysis B. In analysis C gout associated with risk of death related to COVID-19 in the unadjusted model (OR=3.9 [3.3 ; 4.7]), in Model 1 adjusted for demographic factors (OR=1.8 [1.5 ; 2.1]) and in the fully adjusted Model 2 (OR=1.3 [1.1 ; 1.6]). In Analysis C risk was higher in women than men in Model 1 adjusted for demographic factors (OR=3.5 [2.4 ; 5.0] and OR=1.5 [1.2 ; 1.8], respectively) with the difference maintained after additional adjustment for eight metabolic co-morbidities (ORMen=1.2 [0.9 ; 1.5], ORWomen=1.9 [1.3 ; 2.9]). There were no statistically significant differences in risk of death related to COVID-19 according to prescription of ULT or colchicine. Interpretation Gout is a risk factor for death related to COVID-19 using the UK Biobank cohort with an increased risk in women with gout that was also driven by risk factors outside metabolic co-morbidities of gout.
Background: The current coronavirus (COVID-19) pandemic has had large impacts on society, including people practicing social distancing. This behavioral response has increased loneliness. Loneliness not only increases the risk of psychiatric disorders, but also affects occupational mental health. To avoid the negative effects of isolation, it is important to have social contact with other people, especially family members. Employment and economic instability caused by COVID-19 may have also affected family relationships. It is important to understand the association between family relationships and loneliness in workers under the pandemic. Methods: We collected usable data from 27,036 Japanese workers who completed an online survey during the COVID-19 pandemic. Participants were asked how long they spend with members of their family during mealtimes or at home, and if they experienced loneliness; the latter was assessed by a single question. Other questions included whether participants lived with their spouse, or with someone in need of care. To estimate the odds ratios (ORs) of time with family associated with loneliness we used a multilevel logistic model nested in the prefecture of residence, with adjustments for age, sex, marital status, presence of a cohabitant requiring care, equivalent income, educational level, frequency of remote work, availability of someone for casual chat, smoking, drinking, time for leisure interests, and cumulative rates of COVID-19 in the prefecture. Results: Ten percent (2,750) of the 27,036 participants reported loneliness. The survey showed a significant negative correlation between time spent with family and loneliness (p<0.001): participants who spent more time with family were less likely to feel loneliness. In addition, not living with a spouse and living with someone in need of care were associated with loneliness (not living with a spouse: p<0.001; living with someone in need of care: p<0.001). Conclusion: Loneliness under COVID-19 pandemic conditions was negatively associated with time spent with family members, with the converse result found for participants cohabiting with someone in need of care. These associations suggest the potential value of changes to working practices and interventions to combat loneliness.
Background: Real-world studies have found high vaccine effectiveness (VE) of mRNA-based COVID-19 vaccines, but reduced VE against the Delta variant and waning protection have been reported, with few studies examining mRNA-1273 variant-specific VE. Methods: We conducted a test-negative case-control study at Kaiser Permanente Southern California. Whole genome sequencing was conducted for SARS-CoV-2 positive specimens collected from 3/1/2021 to 7/27/2021. Test- positive cases were matched 1:5 to test-negative controls on age, sex, race/ethnicity, and specimen collection date. Outcomes included SARS-CoV-2 infection and hospitalization. Exposures were 2 doses or 1 dose of mRNA-1273 ≥14 days prior to specimen collection versus no COVID-19 vaccination. Conditional logistic regression was used to compare odds of vaccination among cases versus controls, adjusting for confounders. VE was calculated as (1-odds ratio)x100%. Results: The study included 8,153 cases and their matched controls. Two-dose VE (95% confidence interval) was 86.7% (84.3-88.7%) against Delta infection, 98.4% (96.9-99.1%) against Alpha, 90.4% (73.9-96.5%) against Mu, 96-98% against other identified variants, and 79.9% (76.9-82.5%) against unidentified variants. VE against Delta declined from 94.1% (90.5-96.3%) 14-60 days after vaccination to 80.0% (70.2-86.6%) 151-180 days after vaccination. Waning was less pronounced for non-Delta variants. VE against Delta was lower among individuals aged ≥65 years (75.2% [59.6-84.8%]) than those aged 18-64 years (87.9% [85.5-89.9%]). VE against Delta hospitalization was 97.6% (92.8-99.2%). One-dose VE was 77.0% (60.7-86.5%) against Delta infection. Conclusions: Two doses of mRNA-1273 were highly effective against all SARS- CoV-2 variants. However, VE against Delta moderately declined with increasing time since vaccination.
Prophylaxis of COVID-19 Disease With Ivermectin in COVID-19 Contact Persons [German: Prophylaxe Der COVID-19-Erkrankung Mit Ivermectin Bei COVID-19 Kontaktpersonen] - Condition: Covid19
Interventions: Drug: Ivermectin; Drug: Placebo
Sponsors:
Infectopharm Arzneimittel GmbH; GKM Gesellschaft für Therapieforschung mbH
Not yet recruiting
A Study of AZD1222, a Vaccine for the Prevention of COVID-19 in Immunocompromised Adults - Condition: COVID-19, SARS-CoV-2
Intervention: Biological: AZD1222
Sponsor:
AstraZeneca
Not yet recruiting
“Efesovir” (FS-1) for COVID-19, Phase 2 - Condition: Covid19
Intervention: Drug: Efesovir
Sponsor: Scientific Center for Anti-infectious Drugs, Kazakhstan
Not yet recruiting
SARS-CoV-2 Infection in COVID-19 Vaccinated Patients - Condition: COVID-19
Intervention: Diagnostic Test: COVID-19 vaccinated people
Sponsor: Hospices Civils de Lyon
Recruiting
The Development of a COVID19 Oral Vaccine Consisting of Bacillus Subtilis Spores - Condition: COVID-19 Pneumonia
Intervention: Biological: Bacillus subtilis
Sponsor: DreamTec Research Limited
Recruiting
Test to Stay in School: COVID-19 Testing Following Exposure in School Communities - Condition: Covid19
Intervention: Other: COVID-19 Testing
Sponsor:
Duke University
Not yet recruiting
FLuticasone in cOvid Treatment (FLOT) - Condition: Covid19
Intervention: Drug: Fluticasone Propionate
Sponsor:
University of Medicine and Pharmacy at Ho Chi Minh City
Recruiting
Efficacy and Safety of Baricitinib in Patients With Moderate and Severe COVID-19 - Condition: Covid19
Interventions: Drug: Baricitinib; Drug: Placebo
Sponsor:
Incepta Pharmaceuticals Ltd
Not yet recruiting
Randomized Trial of COVID-19 Booster Vaccinations (Cobovax Study) - Condition: COVID-19 Vaccination
Interventions: Biological: BNT162b2; Biological: CoronaVac
Sponsor: The University of Hong Kong
Not yet recruiting
RCT on the Efficacy of Dexamethasone Versus Methyl Prednisolone in Covid-19 Infected Patients With High Oxygen Flow - Condition: COVID-19 Pandemic
Interventions: Drug: Dexamethasone; Drug: Methylprednisolone
Sponsor: Cairo University
Recruiting
Third Dose Vaccination With AstraZeneca or Pfizer COVID-19 Vaccine Among Adults Received Sinovac COVID-19 Vaccine - Conditions: COVID-19 Infection; COVID-19 VACCINE
Interventions: Biological: AstraZeneca ChAdOx1 AZD1222 vaccine (AZ) full dose; Biological: Pfizer/BioNTech BNT162b2 vaccine (PF) full dose; Biological: AstraZeneca ChAdOx1 AZD1222 vaccine (AZ) half dose; Biological: Pfizer/BioNTech BNT162b2 vaccine (PF) half dose
Sponsors: Mahidol University; Clinixir Co., Ltd.; Program Management Unit-C (PMU-C), governed by Ministry of Higher Education, Science, Research and Innovation (MHESI)
Not yet recruiting
Third Dose of mRNA Vaccination to Boost COVID-19 Immunity - Condition: COVID 19 Vaccine
Intervention: Biological: BNT162b2
Sponsor:
The University of Hong Kong
Recruiting
Safety, Tolerability and Efficacy of Uproleselan (GMI-1271) in Patients With COVID-19 Pneumonia - Condition: COVID-19 Pneumonia
Intervention: Drug: Uproleselan
Sponsors:
Lena Napolitano, MD; GlycoMimetics Incorporated
Not yet recruiting
EFFECTIVENESS, SAFETY AND IMMUNOGENICITY OF THE HALF DOSE OF THE VACCINE ChadOx1 nCoV-19 (AZD1222) for COVID-19 - Condition: SARS-CoV-2
Interventions: Biological: Half dose of ChAdOx1 nCoV-19 (AZD1222); Biological: Standard dose of ChAdOx1 nCoV-19 (AZD1222)
Sponsors: Federal University of Espirito Santo; Instituto René Rachou/Fiocruz; Escola Nacional de Saúde Pública Sérgio Arouca/Fiocruz; Programa de Computação Científica/Fiocruz; Escola Superior de Ciências da Santa Casa de Misericórdia de Vitória
Recruiting
Booster Immunization Study of Recombinant SARS-CoV-2 Fusion Protein Vaccine (V-01) - Condition: COVID19
Intervention: Biological: Recombinant SARS-CoV-2 Fusion Protein Vaccine
Sponsors: Livzon Pharmaceutical Group Inc.; Guangdong Center for Disease Prevention and Control; Simoon Record Pharma Information Consulting Co., Ltd.
Active, not recruiting
Randomized trial drug controlled compendious transcriptome analysis supporting broad and phase specific therapeutic potential of multiple candidates in COVID-19 - Effective therapies for coronavirus disease 2019 (COVID-19) are urgently needed. Maladaptive hyperinflammation and excessive cytokine release underlie the disease severity, with antiinflammatory and cytokine inhibiting agents expected to exert therapeutic effects. A major present challenge is identification of appropriate phase of the illness for a given intervention to yield optimum outcomes. Considering its established disease biomarker and drug discovery potential, a compendious analysis of…
The proximal proteome of 17 SARS-CoV-2 proteins links to disrupted antiviral signaling and host translation - Viral proteins localize within subcellular compartments to subvert host machinery and promote pathogenesis. To study SARS-CoV-2 biology, we generated an atlas of 2422 human proteins vicinal to 17 SARS-CoV-2 viral proteins using proximity proteomics. This identified viral proteins at specific intracellular locations, such as association of accessary proteins with intracellular membranes, and projected SARS-CoV-2 impacts on innate immune signaling, ER-Golgi transport, and protein translation. It…
Shining More Light on RAS Inhibition during the COVID-19 Pandemic - No abstract
Evaluation of the diagnostic accuracy of COVID-19 antigen tests: A systematic review and meta-analysis - CONCLUSION: Antigen tests have moderate sensitivity and high specificity for the detection of SARS-CoV-2. Antigen tests might have a higher sensitivity in detecting SARS-CoV-2 within 7 days after symptom onset. Based on our findings, antigen testing might be an effective method for identifying contagious individuals to block SARS-CoV-2 transmission.
The safety, tolerability and mortality reduction efficacy of remdesivir; based on randomized clinical trials, observational and case studies reported safety outcomes: an updated systematic review and meta-analysis - INTRODUCTION: Remdesivir, an experimental antiviral drug has shown to inhibit severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), both in vitro and in vivo. The present systematic review and meta-analysis were performed to quantify the safety and tolerability of remdesivir, based on safety outcome findings from randomized controlled trials, observational studies and case reports of remdesivir in coronavirus disease 2019 (COVID-19) patients.
Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition - The coronaviruses responsible for severe acute respiratory syndrome (SARS-CoV), COVID-19 (SARS-CoV-2), Middle East respiratory syndrome-CoV, and other coronavirus infections express a nucleocapsid protein (N) that is essential for viral replication, transcription, and virion assembly. Phosphorylation of N from SARS-CoV by glycogen synthase kinase 3 (GSK-3) is required for its function and inhibition of GSK-3 with lithium impairs N phosphorylation, viral transcription, and replication. Here we…
COVID-19 and Adult-onset Still’s Disease as part of Hyperferritinemic Syndromes - The coronavirus disease (COVID-19) is known to cause hyperferritinemia and hemophagocytic lymphohistiocytosis (HLH). Including this laboratory parameter, clinical symptoms similar to COVID-19 have been observed in adult-onset Still’s disease (AOSD), catastrophic antiphospholipid syndrome (CAPS), macrophage activation syndrome (MAS), and septic shock, which has led to the proposal of a concept called ‘hyperferritinemic syndromes.’ Additionally, high levels of some clinical markers in both…
Mucus targeting as a plausible approach to improve lung function in COVID-19 patients - COVID-19 (SARS-CoV-2) has emerged as one of the worst pandemics that have tormented the globe due to its highly contagious nature. Even if the disease manifests fever-like symptoms mostly, the disease may progress to the pulmonary- hyper inflammatory phase, with severe pneumonia, hypoxia and subsequent multiple organ infection. This subsequently creates a huge burden to the health care systems across the globe for an immediate arrangement of ventilator facilities, oxygen supply and advanced…
Repurposing fusion inhibitor peptide against SARS-CoV-2 - Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is continuously evolving. Although several vaccines were approved, this pandemic is still a major threat to public life. Till date, no established therapies are available against SARS-CoV-2. Peptide inhibitors hold great promise for this viral pathogen due to their efficacy, safety, and specificity. In this study, seventeen antiviral peptides which were known to inhibit SARS-CoV-1 are collected and computationally screened against…
Repurposing the antibacterial drugs for inhibition of SARS-CoV2-PLpro using molecular docking, MD simulation and binding energy calculation - Papain-like protease (nsp-3; non-structural protein) of novel corona virus is an ideal target for developing drugs as it plays multiple important functions for viral growth and replication. For instance, role of nsp-3 has been recognized in cleavage of viral polyprotein; furthermore, in infected host it weakens the immune system via downregulating the production of type I interferon. This downregulation is promoted by removal of ubiquitin-like interferon-stimulated gene 15 protein (ISG15) from…
Identification of potent inhibitors against transmembrane serine protease 2 for developing therapeutics against SARS-CoV-2 - In viral binding and entry, the Spike(S) protein of SARS-CoV-2 uses transmembrane serine protease 2 (TMPRSS2) for priming to cleavage themselves. In this study, we have screened ‘drug-like’ 7476 ligands and found that over thirty ligands can effectively inhibit the TMPRSS-2 better than the control ligand. Finally, the three best drug agents L1, L2, and L6 were selected according to their average binding affinities and fitting score. These ligands interact with Asp435, Cys437, Ser436, Trp461, and…
Chronic circadian phase advance in male mice induces depressive-like responses and suppresses neuroimmune activation - Altered working and sleeping schedules during the COVID-19 pandemic likely impact our circadian systems. At the molecular level, clock genes form feedback inhibition loops that control 24-hr oscillations throughout the body. Importantly, core clock genes also regulate microglia, the brain resident immune cell, suggesting circadian regulation of neuroimmune function. To assess whether circadian disruption induces neuroimmune and associated behavioral changes, we mimicked chronic jetlag with a…
Inhibitors of anti-apoptotic Bcl-2 family proteins exhibit potent and broad-spectrum anti-mammarenavirus activity via cell cycle arrest at G0/G1 phase - Targeting host factors is a promising strategy to develop broad-spectrum antiviral drugs. Drugs targeting anti-apoptotic Bcl-2 family proteins that were originally developed as tumor suppressors have been reported to inhibit multiplication of different types of viruses. However, the mechanisms whereby Bcl-2 inhibitors exert their antiviral activity remain poorly understood. In this study, we have investigated the mechanisms by which obatoclax (OLX) and ABT-737 Bcl-2 inhibitors exhibited a potent…
Porcine deltacoronavirus enters porcine IPI-2I intestinal epithelial cells via macropinocytosis and clathrin- mediated endocytosis dependent on pH and dynamin - Porcine deltacoronavirus (PDCoV), an emerging enteropathogenic coronavirus, causes serious diarrhoea in suckling piglets and has the potential for cross-species transmission. Although extensive studies have been reported on the biology and pathogenesis of PDCoV, the mechanisms by which PDCoV enters cells are not well characterized. In this study, we investigated how PDCoV enters IPI-2I cells, a line of porcine intestinal epithelial cells derived from pig ileum. Immunofluorescence assays, siRNA…
Inhibitory Effects and Surface Plasmon Resonance-Based Binding Affinities of Dietary Hydrolyzable Tannins and Their Gut Microbial Metabolites on SARS-CoV-2 Main Protease - Severe acute respiratory syndrome coronavirus (SARS-CoV-2) main protease (Mpro) inhibitors are considered as potential treatments for coronavirus disease 2019, and dietary polyphenols show promise in SARS-CoV-2 Mpro inhibition based on in silico studies. In the present study, we utilize a combination of biochemical-, surface plasmon resonance-, and docking- based assays to evaluate the inhibition and binding affinities of a series of tannins and their gut microbial metabolites on SARS-CoV-2 Mpro….
MACHINE LEARNING TECHNIQUE TO ANALYSE THE CONDITION OF COVID-19 PATIENTS BASED ON THEIR SATURATION LEVELS - - link
A HERB BASED COMPOSITION ANTI VIRAL MEDICINE FOR TREATMENT OF SARS COV 2 AND A METHOD FOR TREATING A PERSON INFECTED BY THE SARS COV 2 VIRUS - A Herbal composition, viz., PONNU MARUNTHU essentially comprising of ALLUIUM CEPA extract. [concentrated to 30%] 75%, SAPINDUS MUKOROSSI - extract [Optimised] 10%, CITRUS X LIMON - extract in its natural form 05 TRACYSPERMUM AMMI (L) – extract 07%,ROSA HYBRIDA - extract 03%, PONNU MARUNTHU solution 50 ml, or as a capsulated PONNU MARUNTHU can be given to SARS cov2 positive Patients, three times a day that is ½ an hour before food; continued for 3 days to 5 days and further taking it for 2 days if need be there; It will completely cure a person. When the SARS cov2 test shows negative this medicine can be discontinued. This indigenous medicine and method for treating a person inflicted with SARS COV 2 viral infection is quite effective in achieving of much needed remedy for the patients and saving precious lives from the pangs of death and ensuring better health of people. - link
治疗或预防新冠病毒的靶点 - 本发明提供一种蛋白片段，是如下至少一种：A1)氨基酸酸序列如SEQ ID NO.1所示；A2）氨基酸序列如SEQ ID NO.1第12位‑34位所示；A3）将A1)的蛋白片段的第18、19、28和29位中的任意一个或几个氨基酸残基经过一个或几个氨基酸残基的取代、缺失、添加得到的与A1)所示的蛋白片段具有90％以上的同一性的蛋白片段；A4）氨基酸酸序列如SEQ ID NO.2所示；A5）氨基酸序列如SEQ ID NO.2第32‑41位所示；A6）将A4)的蛋白片段的第35和36位中的任意1个或2个氨基酸残基经过一个或几个氨基酸残基的取代、缺失、添加得到的与A4)所示的蛋白片段具有90％以上的同一性的蛋白片段。 - link
Anti-Sars-Cov-2 Neutralizing Antibodies - - link
Expression Vector for Anti-Sars-Cov-2 Neutralizing Antibodies - - link
DEVELOPMENT OF CNN SCHEME FOR COVID-19 DISEASE DETECTION USING CHEST RADIOGRAPH - - link
一种S1F-AXL复合物、试剂盒和检测该复合物的方法及应用 - 本发明公开了一种S1F‑AXL复合物、试剂盒和检测该复合物的方法及应用。所述试剂盒包含S1F多肽和AXL多肽，以S1F多肽、AXL多肽中的一种作为包被底物；所述S1F多肽和所述AXL多肽中至少一种为具有缀合标签的糖基化多肽，还包括具有微孔的微量滴定板、标记底物标记的抗标签特异性抗体、HRP偶联的二抗、洗涤缓冲液、标记底物反应液、反应终止液。所述检测S1F‑AXL复合物的试剂盒，通过测量标记的信号特征，检测S1F‑AXL复合物的结合亲和力，还可以用于检测来自怀疑感染了SARS‑CoV‑2(Covid‑19)的受试者的生物样品中的病毒。 - link
一种检测新型冠状病毒的引物探针组合及其应用 - 本发明提供了一种检测新型冠状病毒的引物探针组合及其应用，所述检测新型冠状病毒的引物探针组合包括特异性扩增并检测2019‑nCoV的ORF1ab基因、核壳蛋白N基因和刺突蛋白S基因N501Y突变位点的特异性引物对和探针。本发明还提供了一种检测新型冠状病毒的试剂盒及其以非疾病诊断和/或治疗为目的的使用方法。本发明所述检测新型冠状病毒的引物探针组合具有良好的特异性与灵敏度，配合优化后的检测体系，可以对待测样本进行快速准确的检测，并可以对整个实验流程进行监控，降低假阳性以及假阴性检测结果的出现概率，具有重要的意义。 - link
SARS-COV-2 BINDING PROTEINS - - link
COVID-19胸部CT图像识别方法、装置及电子设备 - 本申请涉及一种COVID‑19胸部CT图像识别方法、装置及电子设备。所述方法获取COVID‑19的胸部CT图像，并针对胸部CT图像的特点，构建新冠肺炎CT识别网络，对该网络进行训练得到COVID‑19胸部CT图像识别模型，并利用该模型对待测CT图像进行分类。采用空洞卷积、深度卷积以及点卷积算子，减少冗余参数；采用并行结构连接方式，实现多尺度特征融合、降低模型复杂度；采用下采样方式，使用最大模糊池化以减少锯齿效应，保持信号的平移不变性；采用通道混洗操作，减少参数量与计算量，提高分类准确率，引入坐标注意力机制，使空间坐标信息与通道信息被关注，抑制不重要的信息，以解决资源匹配问题。 - link