Daily-Dose/archive-covid-19/03 October, 2021.html

215 lines
55 KiB
HTML
Raw Normal View History

2021-10-03 13:47:39 +01:00
<!DOCTYPE html>
<html lang="" xml:lang="" xmlns="http://www.w3.org/1999/xhtml"><head>
<meta charset="utf-8"/>
<meta content="pandoc" name="generator"/>
<meta content="width=device-width, initial-scale=1.0, user-scalable=yes" name="viewport"/>
<title>03 October, 2021</title>
<style type="text/css">
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
span.underline{text-decoration: underline;}
div.column{display: inline-block; vertical-align: top; width: 50%;}
</style>
<title>Covid-19 Sentry</title><meta content="width=device-width, initial-scale=1.0" name="viewport"/><link href="styles/simple.css" rel="stylesheet"/><link href="../styles/simple.css" rel="stylesheet"/><link href="https://unpkg.com/aos@2.3.1/dist/aos.css" rel="stylesheet"/><script src="https://unpkg.com/aos@2.3.1/dist/aos.js"></script></head>
<body>
<h1 data-aos="fade-down" id="covid-19-sentry">Covid-19 Sentry</h1>
<h1 data-aos="fade-right" data-aos-anchor-placement="top-bottom" id="contents">Contents</h1>
<ul>
<li><a href="#from-preprints">From Preprints</a></li>
<li><a href="#from-clinical-trials">From Clinical Trials</a></li>
<li><a href="#from-pubmed">From PubMed</a></li>
<li><a href="#from-patent-search">From Patent Search</a></li>
</ul>
<h1 data-aos="fade-right" id="from-preprints">From Preprints</h1>
<ul>
<li><strong>GOING OUT NORMALLY DURING COVID-19 PANDEMIC: INSIGHTS ABOUT THE LACK OF ADHESION TO SOCIAL DISTANCING</strong> -
<div>
The populations adhesion to measures to ensure social distancing represents a great management challenge. Evidence has shown that social distancing is effective. However, it is challenging to separate government measures from social distancing driven by personal initiatives. Theory: It is possible that the output of protective behaviors, such as adherence to protective measures and staying in social isolation, is influenced by individual characteristics, such as personality traits or symptoms of mental distress of anxiogenic nature. We hypothesized that individuals with more expressive symptoms of fear or anxiety would have a more protective behavioral tendency in terms of risk exposure, leaving less home during the pandemic. In contrast, individuals with greater emotional stability, as they feel more secure and with a lower perception of risk, could go out more often. Material and Methods: A total of 2709 individuals from all regions of Brazil participated in the study (mean age = 42 years; 2134 women). Correlation analysis was performed to investigate the relationships between personality traits according to the big five model and Psychopathological Symptoms (BSI). Then investigate how people that go out usually differ from people that stay at home, in both symptoms and personality traits. Finally, to investigate the predictors for going out usually, we use multiple regression analysis, using gender, marital status, level of education, and personality traits. Results: During the second wave of COVID-19 in Brazil, individuals with higher emotional stability tended to leave home more than those with more expressive levels of anxiogenic dysregulation. These results reinforce the role of both personality traits and psychopathological symptoms in prophylactic behavior during COVID-19 pandemics.
</div>
<div class="article-link article- html-link">
🖺 Full Text HTML: <a href="https://psyarxiv.com/v2gd9/" target="_blank">GOING OUT NORMALLY DURING COVID-19 PANDEMIC: INSIGHTS ABOUT THE LACK OF ADHESION TO SOCIAL DISTANCING</a>
</div></li>
<li><strong>COVID-19 in twins: What can we learn from them</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.29.21263145v1" target="_blank">COVID-19 in twins: What can we learn from them</a>
</div></li>
<li><strong>COVID-19 mortality in Italy varies by patient age, sex and pandemic wave</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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, &gt;415 thousand hospitalized for coronavirus disease-19 (COVID-19) and &gt;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 &gt;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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.01.21264359v1" target="_blank">COVID-19 mortality in Italy varies by patient age, sex and pandemic wave</a>
</div></li>
<li><strong>Preterm outcomes following COVID-19 lockdowns, Melbourne, Australia</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.29.21264295v2" target="_blank">Preterm outcomes following COVID-19 lockdowns, Melbourne, Australia</a>
</div></li>
<li><strong>Telemedicine and molecular Sars-CoV-2 early detection to face the COVID-19 pandemic</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.29.21264314v2" target="_blank">Telemedicine and molecular Sars-CoV-2 early detection to face the COVID-19 pandemic</a>
</div></li>
<li><strong>Covid-19 Associated Hepatitis in children (CAH-C) during the second wave of SARS-CoV-2 infections in Central India: Is it a complication or transient phenomenon.</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
Objectives: While pediatric population has largely remained free of severe COVID-19, in some cases SARS-CoV-2 infection has been associated with complications like Multiple Inflammatory Syndrome in children (MIS-C). We mention another unique presentation subsequent to asymptomatic infection of SARS-CoV-2, a transient form of hepatitis designated as COVID-19 Associated Hepatitis in Children (CAH-C). The clinical presentations, temporal association and viral parameters of the cases of CAH-C contrasting to MIS-C hepatitis are presented here. Design: As a retrospective and follow-up observational study we reviewed all pediatric patients presenting to our hospital with acute hepatitis. Increased number of such cases of hepatitis during the second wave of SARS CoV-2 infections, where children or adolescents developing sudden onset acute hepatitis with temporal relation to SARS-CoV-2 infection and without prior liver disease or familiar etiology of acute hepatitis are described. Results: Among 47 pediatric patients presented with hepatitis, 37 patients had features of CAH-C, they had symptoms of hepatitis only, with majority having unelevated inflammatory markers and uneventful recovery following supportive treatment. Whereas remaining 10 MIS-C hepatitis had protracted illness, multiple system involvement, required admission to critical care, and had mortality of 30% (3/10). Conclusion: With the emergence of newer variants of concern (VOC) including the Delta variant which has now spread to more than 60 countries and was responsible for the massive wave of COVID-19 across India, with changing presentations, CAH-C might be one of them. Such new entities need to be identified and differentiated from other emerging syndromes in children for a timely and appropriate intervention.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.07.23.21260716v6" target="_blank">Covid-19 Associated Hepatitis in children (CAH-C) during the second wave of SARS-CoV-2 infections in Central India: Is it a complication or transient phenomenon.</a>
</div></li>
<li><strong>Naming Human Diseases: Ethical Principles of Curating Exclusive Substitute for Inopportune Nosology</strong> -
<div>
Background: In the medical sphere, understanding naming conventions strengthen the integrity of naming human diseases remains nominal rather than substantial yet. Since the current nosology-based standard for human diseases could not offer a one-size-fits-all corrective mechanism, many idiomatic but flawed names frequently appear in scientific literature and news outlets at the cost of sociocultural impacts. Objective: We attempt to examine the ethical oversights of current naming practices and propose heuristic rationales and approaches to determine a pithy name instead of an inopportune nosology. Methods: First, we examined the compiled global online news volumes and emotional tones on some inopportune nosology like German measles, Middle Eastern Respiratory Syndrome, Spanish flu, Hong Kong flu, and Huntingtons disease in the wake of COVID-19. Second, we prototypically scrutinize the lexical dynamics and pathological differentials of German measles and common synonyms by leveraging the capacity of the Google Books Ngram Corpus. Third, we demonstrated the empirical approaches to curate an exclusive substitute for an anachronistic nosology German measles based on deep learning models and post-hoc explanations. Results: The infodemiological study shows that the public informed the offensive names with extremely negative tones in textual and visual narratives. The findings of the historiographical study indicate that many synonyms of German measles did not survive, while German measles became an anachronistic usage, and rubella has taken the dominant place since 1994. The PubMedBERT model could identify rubella as a potential substitution for German measles with the highest semantic similarity. The results of the semantic drift experiments further indicate that rubella tends to survive during the ebb and flow of semantic drift. Conclusions: Our findings indicate that the nosological evolution of anachronistic names could result in sociocultural impacts without a corrective mechanism. To mitigate such impacts, we introduce some ethical principles for formulating an improved naming scheme. Based on deep learning models and post-hoc explanations, our illustrated experiments could provide hallmark references to the remedial mechanism of naming practices and pertinent credit allocations.
</div>
<div class="article- link article-html-link">
🖺 Full Text HTML: <a href="https://www.biorxiv.org/content/10.1101/2021.05.01.442270v3" target="_blank">Naming Human Diseases: Ethical Principles of Curating Exclusive Substitute for Inopportune Nosology</a>
</div></li>
<li><strong>Estimates of pandemic excess mortality in India based on civil registration data</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.30.21264376v1" target="_blank">Estimates of pandemic excess mortality in India based on civil registration data</a>
</div></li>
<li><strong>Modelling of COVID-19 pandemic vis-a-vis some socioeconomic factors</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.30.21264356v1" target="_blank">Modelling of COVID-19 pandemic vis-a-vis some socioeconomic factors</a>
</div></li>
<li><strong>Longitudinal SARS-CoV-2 testing is punctuated by intermittent positivity and variable rates of cycle-threshold decline</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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 &lt;= 28 (range 1-28, median 16) days and &gt;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 &lt; 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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.01.21264373v1" target="_blank">Longitudinal SARS-CoV-2 testing is punctuated by intermittent positivity and variable rates of cycle-threshold decline</a>
</div></li>
<li><strong>Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infection rates</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article- html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.01.21263052v1" target="_blank">Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infection rates</a>
</div></li>
<li><strong>SARS-CoV-2 infections elicit higher levels of original antigenic sin antibodies compared to SARS-CoV-2 mRNA vaccinations</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.30.21264363v1" target="_blank">SARS-CoV-2 infections elicit higher levels of original antigenic sin antibodies compared to SARS-CoV-2 mRNA vaccinations</a>
</div></li>
<li><strong>Predicting the unpredictable: how dynamic COVID-19 policies and restrictions challenge model forecasts</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.30.21264273v1" target="_blank">Predicting the unpredictable: how dynamic COVID-19 policies and restrictions challenge model forecasts</a>
</div></li>
<li><strong>A HOME-TREATMENT ALGORITHM BASED ON ANTI-INFLAMMATORY DRUGS TO PREVENT HOSPITALIZATION OF PATIENTS WITH EARLY COVID-19: A MATCHED-COHORT STUDY (COVER 2)</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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&lt;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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.29.21264298v1" target="_blank">A HOME-TREATMENT ALGORITHM BASED ON ANTI-INFLAMMATORY DRUGS TO PREVENT HOSPITALIZATION OF PATIENTS WITH EARLY COVID-19: A MATCHED-COHORT STUDY (COVER 2)</a>
</div></li>
<li><strong>Telemedicine and molecular Sars-CoV-2 early detection to face the COVID-19 pandemic</strong> -
<div>
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
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.
</p>
</div>
<div class="article-link article-html-link">
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.09.29.21264314v1" target="_blank">Telemedicine and molecular Sars-CoV-2 early detection to face the COVID-19 pandemic</a>
</div></li>
</ul>
<h1 data-aos="fade-right" id="from-clinical-trials">From Clinical Trials</h1>
<ul>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Prophylaxis of COVID-19 Disease With Ivermectin in COVID-19 Contact Persons [German: Prophylaxe Der COVID-19-Erkrankung Mit Ivermectin Bei COVID-19 Kontaktpersonen]</strong> - <b>Condition</b>:   Covid19<br/><b>Interventions</b>:   Drug: Ivermectin;   Drug: Placebo<br/><b>Sponsors</b>:  <br/>
Infectopharm Arzneimittel GmbH;   GKM Gesellschaft für Therapieforschung mbH<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>A Study of AZD1222, a Vaccine for the Prevention of COVID-19 in Immunocompromised Adults</strong> - <b>Condition</b>:   COVID-19, SARS-CoV-2<br/><b>Intervention</b>:   Biological: AZD1222<br/><b>Sponsor</b>:  <br/>
AstraZeneca<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>“Efesovir” (FS-1) for COVID-19, Phase 2</strong> - <b>Condition</b>:   Covid19<br/><b>Intervention</b>:   Drug: Efesovir<br/><b>Sponsor</b>:   Scientific Center for Anti-infectious Drugs, Kazakhstan<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>SARS-CoV-2 Infection in COVID-19 Vaccinated Patients</strong> - <b>Condition</b>:   COVID-19<br/><b>Intervention</b>:   Diagnostic Test: COVID-19 vaccinated people<br/><b>Sponsor</b>:   Hospices Civils de Lyon<br/><b>Recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>The Development of a COVID19 Oral Vaccine Consisting of Bacillus Subtilis Spores</strong> - <b>Condition</b>:   COVID-19 Pneumonia<br/><b>Intervention</b>:   Biological: Bacillus subtilis<br/><b>Sponsor</b>:   DreamTec Research Limited<br/><b>Recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Test to Stay in School: COVID-19 Testing Following Exposure in School Communities</strong> - <b>Condition</b>:   Covid19<br/><b>Intervention</b>:   Other: COVID-19 Testing<br/><b>Sponsor</b>:  <br/>
Duke University<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>FLuticasone in cOvid Treatment (FLOT)</strong> - <b>Condition</b>:   Covid19<br/><b>Intervention</b>:   Drug: Fluticasone Propionate<br/><b>Sponsor</b>:  <br/>
University of Medicine and Pharmacy at Ho Chi Minh City<br/><b>Recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Efficacy and Safety of Baricitinib in Patients With Moderate and Severe COVID-19</strong> - <b>Condition</b>:   Covid19<br/><b>Interventions</b>:   Drug: Baricitinib;   Drug: Placebo<br/><b>Sponsor</b>:  <br/>
Incepta Pharmaceuticals Ltd<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Randomized Trial of COVID-19 Booster Vaccinations (Cobovax Study)</strong> - <b>Condition</b>:   COVID-19 Vaccination<br/><b>Interventions</b>:   Biological: BNT162b2;   Biological: CoronaVac<br/><b>Sponsor</b>:   The University of Hong Kong<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>RCT on the Efficacy of Dexamethasone Versus Methyl Prednisolone in Covid-19 Infected Patients With High Oxygen Flow</strong> - <b>Condition</b>:   COVID-19 Pandemic<br/><b>Interventions</b>:   Drug: Dexamethasone;   Drug: Methylprednisolone<br/><b>Sponsor</b>:   Cairo University<br/><b>Recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Third Dose Vaccination With AstraZeneca or Pfizer COVID-19 Vaccine Among Adults Received Sinovac COVID-19 Vaccine</strong> - <b>Conditions</b>:   COVID-19 Infection;   COVID-19 VACCINE<br/><b>Interventions</b>:   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<br/><b>Sponsors</b>:   Mahidol University;   Clinixir Co., Ltd.;   Program Management Unit-C (PMU-C), governed by Ministry of Higher Education, Science, Research and Innovation (MHESI)<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Third Dose of mRNA Vaccination to Boost COVID-19 Immunity</strong> - <b>Condition</b>:   COVID 19 Vaccine<br/><b>Intervention</b>:   Biological: BNT162b2<br/><b>Sponsor</b>:  <br/>
The University of Hong Kong<br/><b>Recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Safety, Tolerability and Efficacy of Uproleselan (GMI-1271) in Patients With COVID-19 Pneumonia</strong> - <b>Condition</b>:   COVID-19 Pneumonia<br/><b>Intervention</b>:   Drug: Uproleselan<br/><b>Sponsors</b>:  <br/>
Lena Napolitano, MD;   GlycoMimetics Incorporated<br/><b>Not yet recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>EFFECTIVENESS, SAFETY AND IMMUNOGENICITY OF THE HALF DOSE OF THE VACCINE ChadOx1 nCoV-19 (AZD1222) for COVID-19</strong> - <b>Condition</b>:   SARS-CoV-2<br/><b>Interventions</b>:   Biological: Half dose of ChAdOx1 nCoV-19 (AZD1222);   Biological: Standard dose of ChAdOx1 nCoV-19 (AZD1222)<br/><b>Sponsors</b>:   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<br/><b>Recruiting</b></p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Booster Immunization Study of Recombinant SARS-CoV-2 Fusion Protein Vaccine (V-01)</strong> - <b>Condition</b>:   COVID19<br/><b>Intervention</b>:   Biological: Recombinant SARS-CoV-2 Fusion Protein Vaccine<br/><b>Sponsors</b>:   Livzon Pharmaceutical Group Inc.;   Guangdong Center for Disease Prevention and Control;   Simoon Record Pharma Information Consulting Co., Ltd.<br/><b>Active, not recruiting</b></p></li>
</ul>
<h1 data-aos="fade-right" id="from-pubmed">From PubMed</h1>
<ul>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples</strong> - In response to the SARS-CoV-2 pandemic many vaccines have been developed and evaluated in human clinical trials. The humoral immune response magnitude, composition and efficacy of neutralizing SARS-CoV-2 are essential endpoints for these trials. Robust assays that are reproducibly precise, linear, and specific for SARS-CoV-2 antigens would be beneficial for the vaccine pipeline. In this work we describe the methodologies and clinical qualification of three SARS-CoV-2 endpoint assays. We…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Broad-Spectrum Antiviral Peptides and Polymers</strong> - As the human cost of the pandemic caused by the SARS-CoV-2 is still being witnessed worldwide, the development of broad- spectrum antiviral agents against emerging and re-emerging viruses is seen as a necessity to hamper the spread of infections. Various targets during the viral life-cycle can be considered to inhibit viral infection, from viral attachment to viral fusion or replication. Macromolecules represent a particularly attractive class of therapeutics due to their multivalency and…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>The associations between air pollutant exposure and neutralizing antibody titers of an inactivated SARS-CoV-2 vaccine</strong> - Air pollution is a critical risk factor for the prevalence of COVID-19. However, few studies have focused on whether air pollution affects the efficacy of the SARS-CoV-2 vaccine. To better guide the knowledge surrounding this vaccination, we conducted a cross-section study to identify the relationships between air pollutant exposure and plasma neutralizing antibody (NAb) titers of an inactivated SARS-CoV-2 vaccine (Vero cell, CoronaVac, SINOVΛC, China). We recruited 239 healthcare workers aged…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Randomized trial drug controlled compendious transcriptome analysis supporting broad and phase specific therapeutic potential of multiple candidates in COVID-19</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>The proximal proteome of 17 SARS-CoV-2 proteins links to disrupted antiviral signaling and host translation</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Shining More Light on RAS Inhibition during the COVID-19 Pandemic</strong> - No abstract</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Evaluation of the diagnostic accuracy of COVID-19 antigen tests: A systematic review and meta-analysis</strong> - 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.</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>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</strong> - 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.</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Targeting the coronavirus nucleocapsid protein through GSK-3 inhibition</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>COVID-19 and Adult-onset Stills Disease as part of Hyperferritinemic Syndromes</strong> - 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 Stills 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Mucus targeting as a plausible approach to improve lung function in COVID-19 patients</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Repurposing fusion inhibitor peptide against SARS-CoV-2</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Repurposing the antibacterial drugs for inhibition of SARS-CoV2-PLpro using molecular docking, MD simulation and binding energy calculation</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Identification of potent inhibitors against transmembrane serine protease 2 for developing therapeutics against SARS-CoV-2</strong> - 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…</p></li>
<li data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Chronic circadian phase advance in male mice induces depressive-like responses and suppresses neuroimmune activation</strong> - 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…</p></li>
</ul>
<h1 data-aos="fade-right" id="from-patent-search">From Patent Search</h1>
<ul>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>스몰 RNA 검출 방법</strong> - 본 발명은 스몰(small) RNA의 분석 및 검출 방법에 관한 것이다. 특히, 본 발명은 짧은 염기서열의 RNA까지 분석이 가능하면서도 높은 민감도 및 정확도로 정량적 검출까지 가능하여 감염증, 암 등 여러 질환의 진단 용도로도 널리 활용될 수 있다. - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=KR336674313">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>MACHINE LEARNING TECHNIQUE TO ANALYSE THE CONDITION OF COVID-19 PATIENTS BASED ON THEIR SATURATION LEVELS</strong> - - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=AU335054861">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>单克隆抗体32C7及其制备方法和用途</strong> - 本发明公开了单克隆抗体32C7及其制备方法和用途。本发明通过制备针对于新冠病毒RBD结构域的中和抗体32C7在体外通过表面等离子共振检测抗体32C7可以有效地与新冠病毒的S蛋白的RBD结构域结合通过转基因小鼠感染模型验证了抗体32C7的中和能力测定了中和抗体32C7对于新冠感染后的肺部病毒滴度和相关炎症因子的抑制效果结果显示该中和抗体能够明显的抑制病毒在体内的复制并降低炎症因子的产生和肺部炎症浸润。单克隆中和抗体32C7抑制新冠病毒的进入宿主细胞达到新冠病毒中和抗体的治疗作用可有效用于治疗或者预防新冠病毒感染引起的呼吸系统损伤。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN336730149">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>单克隆抗体35B5及其制备方法和用途</strong> - 本发明公开了单克隆抗体35B5及其制备方法和用途。本发明通过制备针对于新冠病毒RBD结构域的中和抗体35B5在体外通过表面等离子共振检测抗体35B5可以有效地与新冠病毒的S蛋白的RBD结构域结合通过转基因小鼠感染模型验证了抗体35B5的中和能力测定了中和抗体35B5对于新冠感染后的肺部病毒滴度和相关炎症因子的抑制效果结果显示该中和抗体能够明显的抑制病毒在体内的复制并降低炎症因子的产生和肺部炎症浸润。单克隆中和抗体35B5抑制新冠病毒的进入宿主细胞达到新冠病毒中和抗体的治疗作用可有效用于治疗或者预防新冠病毒感染引起的呼吸系统损伤。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN336730150">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>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</strong> - 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. - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=IN334865051">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>治疗或预防新冠病毒的靶点</strong> - 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3241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。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN336197499">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Anti-Sars-Cov-2 Neutralizing Antibodies</strong> - - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=AU333857732">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>Expression Vector for Anti-Sars-Cov-2 Neutralizing Antibodies</strong> - - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=AU333857737">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>DEVELOPMENT OF CNN SCHEME FOR COVID-19 DISEASE DETECTION USING CHEST RADIOGRAPH</strong> - - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=AU333857177">link</a></p></li>
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>一种S1F-AXL复合物、试剂盒和检测该复合物的方法及应用</strong> - 本发明公开了一种S1FAXL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S1FAXL复合物的试剂盒通过测量标记的信号特征检测S1FAXL复合物的结合亲和力还可以用于检测来自怀疑感染了SARSCoV2(Covid19)的受试者的生物样品中的病毒。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN336197006">link</a></p></li>
</ul>
<script>AOS.init();</script></body></html>