201 lines
54 KiB
HTML
201 lines
54 KiB
HTML
<!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>10 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>The COVID States Project #18: Fake news on Twitter</strong> -
|
||
<div>
|
||
Social media acts as a conduit for fake news websites, where we define fake news as information that mirrors legitimate news in form, but “lacks the news media’s editorial norms and processes for ensuring the accuracy and credibility of information.”4 During the 2016 election, for example, many researchers and journalists alike failed to track the weaponization of misinformation on social media, leaving them to retroactively discover which demographics had been most active in sharing fake news after the election had taken place. It is important to understand in real time which parts of the population are sharing fake news on Twitter. The COVID-19 pandemic has been a once-in-a-generation disruption for Americans. According to the CDC, by October 2020, there were over 8 million cases of COVID-19 and over 200,000 deaths.5 The consequences for Americans have been wide-ranging, from coping with staggering numbers of illnesses and deaths, to restrictions on freedom of movement, to mass unemployment and economic crisis. There has been a great deal of confusion and misinformation surrounding COVID-19 − a so-called Infodemic6 − with much of it occurring online. The BBC documented the direct costs of COVID-19 misinformation, which include alcohol and cleaning product poisonings, assault, property damage and heightened racism.7 In our panel, between January 1st and September 30th, 2020, the vast majority of shared URLs from COVID-19 tweets are either from known, reputable domains (60%), or domains with unknown quality (38.9%). URLs from domains that publish fake news only comprise 1.1% of the URLs from COVID-19 tweets. However, this is likely an underestimate because if we include web domains rated as “orange” in our fake news classification system, the percentage of shared fake news URLs increases to 1.8%.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://osf.io/vzb9t/" target="_blank">The COVID States Project #18: Fake news on Twitter</a>
|
||
</div></li>
|
||
<li><strong>Has Asia Lost It?: Dynamic Past, Turbulent Future</strong> -
|
||
<div>
|
||
Ours arrived under mysterious circumstances in Wuhan, China sometime in the last quarter of 2019. In the memorable words of New York Governor Andrew Cuomo, the Covid-19 virus then “got on a plane” and became a super-spreading global pandemic in a matter of months. The human toll is devastating — over 80 million infected and over 1.7 million deaths as I write this. Over a century ago and during World War I no less, the world witnessed the devastating “Spanish flu” pandemic, which according to the U.S. Centres for Disease Control and Prevention infected 500 million people and killed over 50 million, with an estimated 20 million in Asia alone, although precise numbers are hard to come by. Pandemics are named pandemics because their human toll is on a global scale and devastating.
|
||
</div>
|
||
<div class="article-link article- html-link">
|
||
🖺 Full Text HTML: <a href="https://osf.io/4bnaw/" target="_blank">Has Asia Lost It?: Dynamic Past, Turbulent Future</a>
|
||
</div></li>
|
||
<li><strong>COVID-19 Vaccine Effectiveness by Product and Timing in New York State</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
Background: US population-based data on COVID-19 vaccine effectiveness (VE) for the 3 currently FDA- authorized products is limited. Whether declines in VE are due to waning immunity, the Delta variant, or other causes, is debated. Methods: We conducted a prospective study of 8,834,604 New York adults, comparing vaccine cohorts defined by product, age, and month of full-vaccination to age-specific unvaccinated cohorts, by linking statewide testing, hospital, and vaccine registry databases. VE was estimated from May 1, 2021 for incident laboratory-confirmed COVID-19 cases (weekly life-table hazard rates through September 3) and hospitalizations (monthly incidence rates through August 31). Results: 155,092 COVID-19 cases and 14,862 hospitalizations occurred. Estimated VE for cases declined contemporaneously across age, products, and time-cohorts, from high levels beginning May 1 (1.8% Delta variant prevalence), to a nadir around July 10 (85.3% Delta), with limited changes thereafter (>95% Delta). Decreases were greatest for Pfizer-BioNTech (-24.6%, -19.1%, -14.1% for 18-49, 50-64 years, and ≥65 years, respectively), and similar for Moderna (-18.0%, -11.6%, -9.0%, respectively) and Janssen (-19.2%, -10.8, -10.9%, respectively). VE for hospitalization for adults 18-64 years was >86% across cohorts, without time trend. Among persons ≥65 years, VE declined from May to August for Pfizer- BioNTech (95.0% to 89.2%) and Moderna (97.2% to 94.1%). VE was lower for Janssen, without trend, ranging 85.5%-82.8%. Conclusions: Declines in VE for cases may have been primarily driven by factors other than waning. VE for hospitalizations remained high, with modest declines limited to Pfizer-BioNTech and Moderna recipients ≥65 years, supporting targeted booster dosing recommendations.
|
||
</p>
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.08.21264595v1" target="_blank">COVID-19 Vaccine Effectiveness by Product and Timing in New York State</a>
|
||
</div></li>
|
||
<li><strong>Plant Formulation ATRICOV 452 in Improving the Level of COVID-19 Specific Inflammatory Markers in Patients</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
Due to the huge demand for health care facilities, there is a need for safe therapeutic intervention which can reduce the need for extensive health care support. In that regard, the current study was aimed at performing Phase 1 clinical trial to determine the safety of plant formulation in 24 healthy volunteers and Phase 2 trials in 100 COVID-19 patients to determine the tolerability and impact on the level of COVID 19 specific inflammatory markers. The outcomes of the Phase 1study have suggested the safe usage of plant formulation in humans and encouraged to conduct Phase 2 clinical trial. In the Phase 2 trial, the plant formulation was evaluated in 100 COVID-19 patients along with the standard of care. In Phase 1 single dose of 500 mg plant formulation capsule was used as an intervention, while 1gm thrice a day of plant formulation for 14 days was the testing dose for Phase 2. During the Phase 1 trial, no adverse event was observed and all organ systems were normal in function. During the Phase 2 trial, 100 patients underwent randomization, 50 were assigned to receive plant formulation, and 50 to receive placebo. Three patients in the placebo and two patients in the plant formulation group had dropped out from the study. Hence, the primary analysis population included 95 patients (48 allocated to plant formulation and 47 to placebo). The COVID 19 specific inflammatory markers improved faster and became normal in the plant formulation treatment group. In conclusion, the plant formulation (ATRICOV 452) has been found to be safe in phases 1 and 2.
|
||
</p>
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.07.21264491v1" target="_blank">Plant Formulation ATRICOV 452 in Improving the Level of COVID-19 Specific Inflammatory Markers in Patients</a>
|
||
</div></li>
|
||
<li><strong>COVIDNearTerm: A Simple Method to Forecast COVID-19 Hospitalizations</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
COVID-19 has caused tremendous death and suffering since it first emerged in 2019. In response, models were developed to help predict the course of various disease metrics, and these models have been relied upon to help guide public health policy. Here we present a method called COVIDNearTerm to ``forecast99 hospitalizations in the short term, two to four weeks from the time of prediction. COVIDNearTerm is based on an autoregressive model and utilizes a parametric bootstrap approach to make predictions. We evaluated COVIDNearTerm on San Francisco Bay Area hospitalizations and compared it to models from the California COVID Assessment Tool (CalCAT). We found that that COVIDNearTerm predictions were more accurate than the CalCAT ensemble predictions for all comparisons and any CalCAT component for a majority of comparisons. For instance, at the county level our 14-day hospitalization median absolute percentage errors ranged from 16% to 36%. For those same comparisons the CalCAT ensemble errors were between 30% and 59%. COVIDNearTerm is also easier to use than some other methods. It requires only previous hospitalization data and there is an open source R package that implements the algorithm.
|
||
</p>
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.08.21264785v1" target="_blank">COVIDNearTerm: A Simple Method to Forecast COVID-19 Hospitalizations</a>
|
||
</div></li>
|
||
<li><strong>Gut Bacterial Dysbiosis and Instability is Associated with the Onset of Complications and Mortality in COVID-19</strong> -
|
||
<div>
|
||
Objective: There is a growing debate about the involvement of the gut microbiome in COVID-19, although it is not conclusively understood whether the microbiome has an impact on COVID-19, or vice versa, especially as analysis of amplicon data in hospitalized patients requires sophisticated cohort recruitment and integration of clinical parameters. Here, we analyzed fecal and saliva samples from SARS-CoV-2 infected and post COVID-19 patients and controls considering multiple influencing factors during hospitalization. Design: 16S rRNA gene sequencing was performed on fecal and saliva samples from 108 COVID-19 and 22 post COVID-19 patients, 20 pneumonia controls and 26 asymptomatic controls. Patients were recruited over the first and second corona wave in Germany and detailed clinical parameters were considered. Serial samples per individual allowed intra-individual analysis. Results: We found the gut and oral microbiota to be altered depending on number and type of COVID-19-associated complications and disease severity. The occurrence of individual complications was correlated with low-risk (e.g., Faecalibacterium prausznitzii) and high-risk bacteria (e.g., Parabacteroides). We demonstrated that a stable gut bacterial composition was associated with a favorable disease progression. Based on gut microbial profiles, we identified a model to estimate mortality in COVID-19. Conclusion: Gut microbiota are associated with the occurrence of complications in COVID-19 and may thereby influencing disease severity. A stable gut microbial composition may contribute to a favorable disease progression and using bacterial signatures to estimate mortality could contribute to diagnostic approaches. Importantly, we highlight challenges in the analysis of microbial data in the context of hospitalization.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.biorxiv.org/content/10.1101/2021.10.08.463613v1" target="_blank">Gut Bacterial Dysbiosis and Instability is Associated with the Onset of Complications and Mortality in COVID-19</a>
|
||
</div></li>
|
||
<li><strong>SARS-CoV-2 infection induces inflammatory bone loss in golden Syrian hamsters</strong> -
|
||
<div>
|
||
Extrapulmonary complications of different organ systems have been increasingly recognized in patients with severe or chronic Coronavirus Disease 2019 (COVID-19). However, limited information on the skeletal complications of COVID-19 is known, even though inflammatory diseases of the respiratory tract have been known to perturb bone metabolism and cause pathological bone loss. In this study, we characterized the effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on bone metabolism in an established golden Syrian hamster model for COVID-19. SARS-CoV-2 causes significant multifocal loss of bone trabeculae in the long bones and lumbar vertebrae of all infected hamsters. The bone loss progressively worsens from the acute phase to the post-recovery phase. Mechanistically, the bone loss was associated with SARS-CoV-2-induced cytokine dysregulation which upregulates osteoclastic differentiation of monocyte-macrophage lineage. The pro-inflammatory cytokines further trigger a second wave of cytokine storm in the skeletal tissues to augment their pro-osteoclastogenesis effect. Our findings in this established hamster model suggest that pathological bone loss may be a neglected complication which warrants more extensive investigations during the long-term follow-up of COVID-19 patients. The benefits of potential prophylactic and therapeutic interventions against pathological bone loss should be further evaluated.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.biorxiv.org/content/10.1101/2021.10.08.463665v1" target="_blank">SARS-CoV-2 infection induces inflammatory bone loss in golden Syrian hamsters</a>
|
||
</div></li>
|
||
<li><strong>Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
With a dataset of testing and case counts from over 1,400 institutions of higher education (IHEs) in the United States, we analyze the number of infections and deaths from SARS-CoV-2 in the counties surrounding these IHEs during the Fall 2020 semester (August to December, 2020). We used a matching procedure designed to create groups of counties that are aligned along age, race, income, population, and urban/rural categories—socio-demographic variables that have been shown to be correlated with COVID-19 outcomes. We find that counties with IHEs that remained primarily online experienced fewer cases and deaths during the Fall 2020 semester; whereas before and after the semester, these two groups had almost identical COVID-19 incidence. Additionally, we see fewer deaths in counties with IHEs that reported conducting any on-campus testing compared to those that reported none. We complement the statistical analysis with a case study of IHEs in Massachusetts—a rich data state in our dataset—which further highlights the importance of IHE- affiliated testing for the broader community. The results in this work suggest that campus testing can itself be thought of as a mitigation policy and that allocating additional resources to IHEs to support efforts to regularly test students and staff would be beneficial to mitigating the spread of COVID-19 in the general population.
|
||
</p>
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.07.21264419v1" target="_blank">Higher education responses to COVID-19 in the United States: Evidence for the impacts of university policy</a>
|
||
</div></li>
|
||
<li><strong>Estimate of the rate of unreported COVID-19 cases during the first outbreak in Rio de Janeiro</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
In this work we fit an epidemiological model SEIAQR (Susceptible - Exposed - Infectious - Asymptomatic - Quarantined - Removed) to the data of the first COVID-19 outbreak in Rio de Janeiro, Brazil. Particular emphasis is given to the unreported rate, that is, the proportion of infected individuals that is not detected by the health system. The evaluation of the parameters of the model is based on a combination of error-weighted least squares method and appropriate B-splines. The structural and practical identifiability is analyzed to support the feasibility and robustness of the parameters9 estimation. We use the bootstrap method to quantify the uncertainty of the estimates. For the outbreak of March-July 2020 in Rio de Janeiro, we estimate about 90% of unreported cases, with a 95% confidence interval (85%, 93%).
|
||
</p>
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.08.21264741v1" target="_blank">Estimate of the rate of unreported COVID-19 cases during the first outbreak in Rio de Janeiro</a>
|
||
</div></li>
|
||
<li><strong>Longitudinal changes in home confinement and mental health implications: A 17-month follow-up study in England during the COVID-19 pandemic</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
Background: The COVID-19 pandemic has brought about significant behavioural changes, one of which is increased time spent at home. Although official lockdowns were typically short-term and allowed people to leave their homes for exercise and essential activities, some individuals did not leave their home for prolonged periods due to a range of factors including clinical vulnerability. This study aimed to explore longitudinal patterns of such 9home confinement9 across different stages of the COVID-19 pandemic in the UK, and its associated predictors and mental health outcomes. Methods: Data were from the UCL COVID -19 Social Study. The analytical sample consisted of 25,390 adults in England who were followed up for 17 months from March 2020 to July 2021. Data were analysed using growth mixture models. Results: Our analyses identified three classes of growth trajectories, including one class showing a high level of persistent home confinement (24.8%), one changing class with clear alignment with national containment policy/advice (32.0%), and one class with a persistently low level of confinement (43.1%). A range of factors were found to be associated the class membership of home confinement trajectories, such as age, gender, income, employment status, social relationships and health. The class with a high level of confinement had the highest number of depressive and anxiety symptoms at the end of the follow-up independent of potential confounders. Conclusions: There was substantial heterogeneity in longitudinal patterns of home confinement during the COVID-19 pandemic. However, a striking proportion of our sample maintained a high level of home confinement over the course of 17 months, even during periods when containment measures were eased or removed and when infection rates were low. They also had the worst mental health outcomes. This group warrants special attention in addressing the mental health impact of the COVID-19 pandemic.
|
||
</p>
|
||
</div>
|
||
<div class="article-link article- html-link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.08.21264749v1" target="_blank">Longitudinal changes in home confinement and mental health implications: A 17-month follow-up study in England during the COVID-19 pandemic</a>
|
||
</div></li>
|
||
<li><strong>Nine-month presence of SARS-CoV-2 in saliva: a case report</strong> -
|
||
<div>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">
|
||
SARS-CoV-2 is a novel coronavirus that mainly affects the upper airways. Approximately one third of all detected cases is asymptomatic. We report an asymptomatic individual who tested positive for SARS-CoV-2 over a period of nine months. Of this individual, whole mouth saliva was tested by a novel fluorescence in situ hybridization-based assay which detects only the 9active9 form of the virus. During the observation period of nine months, there was a possible co-infection with a second SARS-CoV-2 variant accompanied by none or very low antibody production until the possible co- infection. We suspect that the SARS-CoV-2 infection in this individual is limited to the salivary glands and does not spread (much) throughout the systemic compartment(s) of the body.
|
||
</p>
|
||
</div>
|
||
<div class="article-link article-html- link">
|
||
🖺 Full Text HTML: <a href="https://www.medrxiv.org/content/10.1101/2021.10.08.21262462v1" target="_blank">Nine- month presence of SARS-CoV-2 in saliva: a case report</a>
|
||
</div></li>
|
||
<li><strong>The role of the church in the context of Covid-19. Adaptation and religious practices</strong> -
|
||
<div>
|
||
From time immemorial, the plagues and pandemics have been a challenge to the church. The covid-19 is such a challange to the church. The cure is not in sight, hence the talk of adaptation and healing in the context of a pandemic such as covid-19. These interventions will include the role of the church. This is because the church is one of the important social pillars that has huge influence on people at any given time. It is because of this understanding that this paper will discuss the role of the church in such a context. A practical ecclesiological method will be employed because of its disciplinary nature so as to consider the empirical issues related to the pandemic, the historical perspective in studing the church’s role in the response against pandemics, the hermeneutical perspective into such a role of the church, and then strategise on how best the church can contribute to nurture, healing and adaptation. Though this paper treats the pandemic of covid-19 globally, it however has a special interest to the Zimbabwean situation.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://psyarxiv.com/y3hp7/" target="_blank">The role of the church in the context of Covid-19. Adaptation and religious practices</a>
|
||
</div></li>
|
||
<li><strong>Exploring the Association between Compliance with Measures to Prevent the Spread of COVID-19 and Big Five Traits with Bayesian Generalized Linear Model</strong> -
|
||
<div>
|
||
Research has examined the association between people’s compliance with measures to prevent the spread of COVID-19 and personality traits. However, previous studies were conducted with relatively small-size datasets and employed frequentist analysis that does not allow data-driven model exploration. To address the limitations, a large-scale international dataset, COVIDiSTRESS Global Survey dataset, was explored with Bayesian generalized linear model that enables identification of the best regression model. The best regression models predicting participants’ compliance with Big Five traits were explored. The findings demonstrated first, all Big Five traits, except extroversion, were positively associated with compliance with general measures and distancing. Second, neuroticism, extroversion, and agreeableness were positively associated with the perceived cost of complying with the measures while conscientiousness showed negative association. The findings and the implications of the present study were discussed.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://psyarxiv.com/sf93m/" target="_blank">Exploring the Association between Compliance with Measures to Prevent the Spread of COVID-19 and Big Five Traits with Bayesian Generalized Linear Model</a>
|
||
</div></li>
|
||
<li><strong>Vulnerability, self-uncertainty, and collective narcissism mediate the relationship between ostracism and conspiracy beliefs: Α representative sample study during the first wave of the pandemic</strong> -
|
||
<div>
|
||
A correlational study (N=895) examined the association between ostracism and endorsement of COVID-19 conspiracy theories, the mediating role of sense of vulnerability, self-uncertainty and collective narcissism and the moderating role of conspiracy mentality. We found that ostracism positively predicted endorsement of COVID-19 conspiracy theories and this association was mediated by sense of vulnerability, self-uncertainty and collective narcissism. Conspiracy mentality moderated the relationship between ostracism with the sense of vulnerability, but not the self-uncertainty nor of the collective narcissism. Our study expands on the still very few and scarce research on ostracism and conspiracy theories, by confirming their relationship in the context of the pandemic, as well as exploring further interrelationships, responding to the recent calls for investigating the mediating role of both individual and group- level variables. Theoretical and societal implications are discussed. Results offer a novel insight in the relationship between ostracism and conspiracy theories focused on COVID-19, advancing our current knowledge and developing their relationship even further.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://psyarxiv.com/q4hkn/" target="_blank">Vulnerability, self-uncertainty, and collective narcissism mediate the relationship between ostracism and conspiracy beliefs: Α representative sample study during the first wave of the pandemic</a>
|
||
</div></li>
|
||
<li><strong>ASSOCIATION BETWEEN EMOTIONAL STABILITY AND SUICIDALITY IN A BRAZILIAN SAMPLE OF THE GENERAL POPULATION DURING THE COVID-19 PANDEMIC AND THE MODERATION ROLE OF FINANCIAL HARDSHIP</strong> -
|
||
<div>
|
||
Introduction: Emotional stability is considered to be a protective factor for suicidal behavior. Nonetheless, suicidality is the result of a complex interaction of protective and risk factors, a key one being financial difficulties. Objective: We aimed to investigate the association between emotional stability and suicidality in Brazilian individuals during the COVID-19 pandemic and the moderation role of financial hardship. Method: A total of 2140 participants, 79.4% women, answered an online survey from November 2020 to January 2021, containing questions about suicidality as well as concerning economic hardship. The personality data was assessed with the TIPI. We used Pearson chi-square to compare categorical variables and Student t-test to compare continuous variables. Finally, we conducted multiple regression and moderation analysis using SPSS PROCESS v3.5 Macro model 1. Results: The participants who reported not having presented a wish to die, suicide intent, or suicide attempt in the previous month showed a significantly higher level of emotional stability. There was a significant interaction with financial hardship (p=0,006) for suicide attempt as the outcome, with significant association between emotional stability and suicide attempts only in the absence of financial hardship. Conclusion: The presence of financial hardship may suppress the protective role of emotional stability in suicidal behavior.
|
||
</div>
|
||
<div class="article-link article-html-link">
|
||
🖺 Full Text HTML: <a href="https://psyarxiv.com/c5ayf/" target="_blank">ASSOCIATION BETWEEN EMOTIONAL STABILITY AND SUICIDALITY IN A BRAZILIAN SAMPLE OF THE GENERAL POPULATION DURING THE COVID-19 PANDEMIC AND THE MODERATION ROLE OF FINANCIAL HARDSHIP</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>Evaluating Safety, Tolerability, and Potential Efficacy of Intranasal AD17002 in Adults With Mild COVID-19</strong> - <b>Condition</b>: Covid19<br/><b>Interventions</b>: Biological: AD17002; Biological: Placebo (Formulation buffer)<br/><b>Sponsor</b>: Advagene Biopharma Co. 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>Lymphatic Osteopathic Manipulative Medicine to Enhance Coronavirus (COVID-19) Vaccination Efficacy</strong> - <b>Condition</b>: COVID-19<br/><b>Interventions</b>: Other: Lymphatic OMM; Other: Light Touch<br/><b>Sponsor</b>: Rowan 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>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>Phase I/II of the Safety and Immunogenicity of SARS-CoV-2 Protein Subunit Recombinant Vaccine in Healthy Populations</strong> - <b>Condition</b>: Covid19<br/><b>Interventions</b>: Biological: SARS-CoV-2 Protein Subunit Recombinant Vaccine; Biological: SARS-CoV-2 Inactivated Vaccine<br/><b>Sponsors</b>: PT Bio Farma; Fakultas Kedokteran Universitas Indonesia; National Institute of Health Research and Development, Ministry of Health Republic of Indonesia<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 Ph 2 Trial With an Oral Tableted COVID-19 Vaccine</strong> - <b>Condition</b>: COVID-19<br/><b>Interventions</b>: Drug: VXA-CoV2-1.1-S; Other: Placebo Tablets<br/><b>Sponsor</b>: Vaxart<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>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 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>Clinical Trial on Sequential Immunization of Recombinant COVID-19 Vaccine (CHO Cells,NVSI-06-08) and Inactivated COVID-19 Vaccine (Vero Cells) in Population Aged 18 Years and Above</strong> - <b>Conditions</b>: COVID-19 Pneumonia; Coronavirus Infections<br/><b>Interventions</b>: Biological: Recombinant COVID-19 Vaccine (CHO cell，NVSI-06-08); Biological: COVID-19 vaccine (Vero cells); Biological: 3 doses Recombinant COVID-19 Vaccine (CHO cell，NVSI-06-08)<br/><b>Sponsors</b>: National Vaccine and Serum Institute, China; China National Biotec Group Company Limited; Lanzhou Institute of Biological Products Co., 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>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>
|
||
</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>A fluorescence-based, gain-of-signal, live cell system to evaluate SARS-CoV-2 main protease inhibition</strong> - The likelihood of continued circulation of COVID-19 and its variants, and novel coronaviruses due to future zoonotic transmissions, combined with the current paucity of coronavirus antivirals, emphasize the need for improved screening in developing effective antivirals for the treatment of infection by SARS-CoV-2 (CoV2) and other coronaviruses. Here we report the development of a live-cell based assay for evaluating the intracellular function of the critical, highly- conserved CoV2 target, the…</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 multifaceted biology of PCSK9</strong> - This article reviews the discovery of PCSK9, its structure-function characteristics, and its presently known and proposed novel biological functions. The major critical function of PCSK9 deduced from human and mouse studies, as well as cellular and structural analyses, is its role in increasing the levels of circulating LDL-cholesterol (LDLc), via its ability to enhance the sorting and escort of the cell surface LDL receptor (LDLR) to lysosomes. This implicates the binding of the catalytic…</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>Upregulated miR-200c is associated with downregulation of the functional receptor for severe acute respiratory syndrome coronavirus 2 ACE2 in individuals with obesity</strong> - Obesity is a risk factor for coronavirus disease 2019 (COVID-19) infection, with studies demonstrating the prevalence of individuals with obesity admitted with COVID-19 ranging between 30 and 60%. We determined whether early changes in microRNAs (miRNAs) are associated with dysregulation of angiotensin-converting enzyme 2 (ACE2), the specific functional receptor for severe acute respiratory syndrome coronavirus 2. ACE2 is a membrane-bound enzyme that catalyzes the conversion of angiotensin II to…</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 inhibition using a mucoadhesive, amphiphilic chitosan that may serve as an anti-viral nasal spray</strong> - There are currently no cures for coronavirus infections, making the prevention of infections the only course open at the present time. The COVID-19 pandemic has been difficult to prevent, as the infection is spread by respiratory droplets and thus effective, scalable and safe preventive interventions are urgently needed. We hypothesise that preventing viral entry into mammalian nasal epithelial cells may be one way to limit the spread of COVID-19. Here we show that…</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>Early IgG / IgA response in hospitalized COVID-19 patients is associated with a less severe disease</strong> - We determined the kinetics of anti-SARS-CoV-2 antibody response in fifteen hospitalized COVID-19 patients. Patients were divided into mild/moderate (mild, n = 1; moderate, n = 4) or severe (n = 10) and virus-specific anti-Nucleocapsid IgM, anti-Spike IgG and anti-Spike IgA were measured in serial serum samples collected 0 to 15 days after hospital admission. Surrogate neutralization assays were performed by testing inhibition of ACE-2 binding to Spike. In 3 patients (2 severe and 1 moderate…</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>Role of miR-2392 in driving SARS-CoV-2 infection</strong> - MicroRNAs (miRNAs) are small non-coding RNAs involved in post-transcriptional gene regulation that have a major impact on many diseases and provide an exciting avenue toward antiviral therapeutics. From patient transcriptomic data, we determined that a circulating miRNA, miR-2392, is directly involved with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) machinery during host infection. Specifically, we show that miR-2392 is key in driving downstream suppression of mitochondrial gene…</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 N-terminal domain of SARS-CoV-2 nsp1 plays key roles in suppression of cellular gene expression and preservation of viral gene expression</strong> - Nonstructural protein 1 (nsp1) is a coronavirus (CoV) virulence factor that restricts cellular gene expression by inhibiting translation through blocking the mRNA entry channel of the 40S ribosomal subunit and by promoting mRNA degradation. We perform a detailed structure-guided mutational analysis of severe acute respiratory syndrome (SARS)-CoV-2 nsp1, revealing insights into how it coordinates these activities against host but not viral mRNA. We find that residues in the N-terminal and central…</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 Repurposed ACE2 Inhibitors: SARS-CoV-2 Entry Blockers of Covid-19</strong> - The highly infectious disease COVID-19 is induced by SARS-coronavirus 2 (SARS-CoV-2), which has spread rapidly around the globe and was announced as a pandemic by the World Health Organization (WHO) in March 2020. SARS-CoV-2 binds to the host cell’s angiotensin converting enzyme 2 (ACE2) receptor through the viral surface spike glycoprotein (S-protein). ACE2 is expressed in the oral mucosa and can therefore constitute an essential route for entry of SARS-CoV-2 into hosts through the tongue 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>Conflicting impacts of tocilizumab and colchicine in COVID-19-associated coagulop</strong> - Severely affected COVID-19 patients may develop a delayed onset “cytokine storm”, which includes an increase in interleukin-6 (IL-6). This may be followed by a pro-thrombotic state and increased D-dimer. It has been anticipated that tocilizumab (TCZ), an anti-IL-6 receptor, would mitigate inflammation and coagulation in COVID-19 patients. However, clinical trials with TCZ recorded an increase in D-dimer. In contrast to TCZ, colchicine reduced D-dimer COVID-19 patients. To understand how the two…</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>Viral polymerase binding and broad-spectrum antiviral activity of molnupiravir against human seasonal coronaviruses</strong> - Endemic seasonal coronaviruses cause morbidity and mortality in a subset of patients, but no specific treatment is available. Molnupiravir is a promising pipeline antiviral drug for treating SARS-CoV-2 infection potentially by targeting RNA-dependent RNA polymerase (RdRp). This study aims to evaluate the potential of repurposing molnupiravir for treating seasonal human coronavirus (HCoV) infections. Molecular docking revealed that the active form of molnupiravir, β-D-N⁴-hydroxycytidine (NHC),…</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>Dissolving microneedle patches loaded with amphotericin B microparticles for localised and sustained intradermal delivery: Potential for enhanced treatment of cutaneous fungal infections</strong> - Fungal infections affect millions of people globally and are often unreceptive to conventional topical or oral preparations because of low drug bioavailability at the infection site, lack of sustained therapeutic effect, and the development of drug resistance. Amphotericin B (AmB) is one of the most potent antifungal agents. It is increasingly important since fungal co-infections associated with COVID-19 are frequently reported. AmB is only administered via injections (IV) and restricted to…</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>Inhibition of SARS-CoV-2 polymerase by nucleotide analogs from a single-molecule perspective</strong> - The absence of ‘shovel-ready’ anti-coronavirus drugs during vaccine development has exceedingly worsened the SARS-CoV-2 pandemic. Furthermore, new vaccine-resistant variants and coronavirus outbreaks may occur in the near future, and we must be ready to face this possibility. However, efficient antiviral drugs are still lacking to this day, due to our poor understanding of the mode of incorporation and mechanism of action of nucleotides analogs that target the coronavirus polymerase to impair…</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>Inhaled [D-Ala(2)]-Dynorphin 1-6 Prevents Hyperacetylation and Release of High Mobility Group Box 1 in a Mouse Model of Acute Lung Injury</strong> - COVID-19 is a respiratory infection caused by the SARS-CoV-2 virus that can rapidly escalate to life-threatening pneumonia and acute respiratory distress syndrome (ARDS). Recently, extracellular high mobility group box 1 (HMGB1) has been identified as an essential component of cytokine storms that occur with COVID-19; HMGB1 levels correlate significantly with disease severity. Thus, the modulation of HMGB1 release may be vital for treating COVID-19. HMGB1 is a ubiquitous nuclear DNA-binding…</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 the global need for knowledge on nurses’ health</strong> - CONCLUSIONS: These issues are reflected in the limited capacity of many national public health information systems to collect, monitor and report on the health of the largest group of health workers. Political will, accountability and public data transparency at different levels are essential to adequately protect nurses at work.</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>Highly efficient SARS-CoV-2 infection of human cardiomyocytes: spike protein-mediated cell fusion and its inhibition</strong> - Severe cardiovascular complications can occur in coronavirus disease of 2019 (COVID-19) patients. Cardiac damage is attributed mostly to the aberrant host response to acute respiratory infection. However, direct infection of cardiac tissue by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) also occurs. We examined here the cardiac tropism of SARS-CoV-2 in spontaneously beating human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). These cardiomyocytes express the…</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>健康智能检测方法、装置、电子设备及可读存储介质</strong> - 本申请公开了一种健康智能检测方法、装置、电子设备及可读存储介质，其方法包括获取音频信号，并对所述音频信号进行预处理，得到检测信号；将所述检测信号转化为矩阵数字矩阵；将得到的矩阵数字矩阵作为检测样本，输入健康智能检测模型中，以获取检测结果；其中，所述健康智能检测模型是采用迁移学习和卷积神经网络对训练样本进行训练得到的。本申请由于卷积神经网络各组件或部分组件基于迁移学习进行了重新训练，显著提升了对人们健康检测的准确度；且本申请中的健康智能检测模型为分类模型，计算量小，可将其部署于人们的移动终端中，使用方便，极大程度上提升了用户的使用感受。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN337672106">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。 - <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>一种抗病毒化合物及其制备方法</strong> - 本发明公开了一种抗病毒的化合物及其制备方法。该化合物的结构式如式I所示，式(Ⅰ)中，R1选自：单取代或多取代的H、F、甲基、三氟甲基；R2选自：H、直链或取代烷烃(C1‑C6)；R3选自：单取代或多取代的H、Cl、Br、F。本发明中所述化合物经过实验证实，不仅对于H1N1甲型流感病毒具有较好的抑制作用，并且对于冠状病毒也具有较好的抑制作用，没有观察到对于人正常细胞的毒性，且能够在抗病毒的同时抑制炎症反应的程度。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN338518292">link</a></p></li>
|
||
<li><p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom"><strong>以痘苗病毒为载体的新冠疫苗</strong> - 本申请涉及一种基于经过基因工程改造的痘苗病毒为载体的新型冠状病毒南非突变株疫苗。所述疫苗以A46R缺陷的痘苗病毒为载体携带新冠病毒南非突变株S基因核酸序列，所述痘苗病毒载体还可以携带IL‑21，该疫苗在免疫小鼠后可以产生针对新冠病毒南非突变株的抗体。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN337671415">link</a></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>氧化钛负载银单原子的材料在病毒消杀中的应用</strong> - 本发明属于生物医药领域，尤其涉及一种负载银单原子的材料在病毒消杀中的应用，所述氧化钛负载银单原子材料具有以下的结构：银单原子以单分散的形式，稳定地锚定于氧化钛的表面和/或骨架中，键合方式为Ti‑O‑Ag；银单原子的嵌合使Ag单原子和氧化钛的电子结构带隙范围为2.9‑3.2</p></li>
|
||
</ul>
|
||
<p data-aos="fade-left" data-aos-anchor-placement="bottom-bottom">eV；氧化钛负载银单原子材料具有较银纳米颗粒更加优异的催化活性，具有过氧化物酶活性，利用羟基自由基可高效破坏核酸和蛋白质的原理来实现广谱消杀病毒，银单原子的嵌合使Ag单原子和氧化钛的电子结构带隙变小，对可见光的敏感性更强，可将光照射下的光催化诱导光动力杀伤病毒。 - <a href="https://patentscope.wipo.int/search/en/detail.jsf?docId=CN337671299">link</a></p>
|
||
|
||
|
||
<script>AOS.init();</script></body></html> |