A global sentiment in early 2022 is that the COVID-19 virus could become endemic just like common cold flu viruses soon. The most optimistic view is that, with minimal precautions, such as vaccination, boosters and optional masking, life for most people will proceed as normal soon. However, as warned by A. Katzourakis of Oxford University recently, we must set aside lazy optimism, and must be realistic about the likely levels of death, disability and sickness that will be brought on by a 9COVID-199 endemic. Moreover, the world must also consider that continual circulation of the virus could give rise to new variants such as the new BA.2 variant (a subvariant of Omicron) continues to spread across the US and parts of Europe. Data from the CDC is already showing that BA.2 has been tripling in prevalence every two weeks. Hence, globally, we must use available and proven weapons to continue to fight the COVID-19 viruses, i.e., effective vaccines, antiviral medications, diagnostic tests and stop an airborne virus transmission through social distancing, and mask wearing. For this work, we have demonstrated a smart mask with an optimally-coupled ultra-thin flexible soundwave sensors for tracking, classifying, and recognizing different respiratory activities, including breathing, speaking, and two-/tri-phase coughing; the mask9s functionality can also be augmented in the future to monitor other human physiological signals. Although researchers have integrated sensors into masks to detect respiratory activities in the past, they only based on measuring temperature and air flow during coughing, i.e., counting only the number of coughs. However, coughing is a process consisting of several phases, including an explosion of the air with glottal opening producing some noise-like waveform, a decrease of airflow to decrease sound amplitude, and a voiced stage which is the interruption of the air flow due to the closure of glottal and periodical vibration of partly glottis, which is not always present. Therefore, sensors used for cough detection should not be only sensitive to subtle air pressure but also the high-frequency vibrations, i.e., a pressure sensor that needs to be responsive to a wide input amplitude and bandwidth range, in order to detect air flows between hundreds of hertz from breath, and acoustic signals from voice that could reach ~ 8000 Hz. Respiratory activities data from thirty-one (31) human subjects were collected. Machine learning methods such as Support Vector Machines and Convolutional Neural Networks were used to classify the collected sensor data from the smart mask, which show an overall macro-recall of about 93.88% for the three respiratory sounds among all 31 subjects. For individual subjects, the 31 human subjects have the average macro-recall of 95.23% (ranging from 90% to 100%) for these 3 respiratory activities. Our work bridges the technological gap between ultra-lightweight but high-frequency response sensor material fabrication, signal transduction and conditioning, and applying machining learning algorithms to demonstrate a reliable wearable device for potential applications in continual healthy monitoring of subjects with cough symptoms during the eventual COVID-19 endemic. The monitoring and analysis of cough sound should be highly beneficial for human health management. These health monitoring data could then be shared with doctors via cloud storage and transmission technique to help disease diagnosis more effectively. Also, communication barriers caused by wearing masks can be alleviated by combining with the speech recognition techniques. In general, this research helps to advance the wearable device technology for tracking respiratory activities, similar to an Apple Watch or a Fitbit smartwatch in tracking physical and physiological activities.
Background Vaccines can be less immunogenic in people living with HIV (PLWH), but for SARS-CoV-2 vaccinations this is unknown. Methods and Findings A prospective cohort study to examine the immunogenicity of BNT162b2, mRNA-1273, ChAdOx1-S and Ad26.COV2.S vaccines in adult PLWH, without prior COVID-19, compared to HIV-negative controls. The primary endpoint was the anti-spike SARS-CoV-2 IgG response after mRNA vaccination. Secondary endpoints included the serological response after vector vaccination, anti-SARS-CoV-2 T-cell response and reactogenicity. Between February- September 2021, 1154 PLWH (median age 53 [IQR 44-60], 86% male) and 440 controls (median age 43 [IQR 33-53], 29% male) were included. 884 PLWH received BNT162b2, 100 mRNA-1273, 150 ChAdOx1-S, and 20 Ad26.COV2.S. 99% were on antiretroviral therapy, 98% virally suppressed, and the median CD4+T-cell count was 710 cells/µL [IQR 520-913]. 247 controls received mRNA-1273, 94 BNT162b2, 26 ChAdOx1-S and 73 Ad26.COV2.S. After mRNA vaccination, geometric mean concentration was 1418 BAU/mL in PLWH (95%CI 1322-1523), and after adjustment for age, sex, and vaccine type, HIV-status remained associated with a decreased response (0.607, 95%CI 0.508-0.725). In PLWH vaccinated with mRNA-based vaccines, higher antibody responses were predicted by CD4+T-cell counts 250-500 cells/µL (2.845, 95%CI 1.876-4.314) or >500 cells/µL (2.936, 95%CI 1.961-4.394), whilst a viral load >50 copies/mL was associated with a reduced response (0.454, 95%CI 0.286-0.720). Increased IFN-γ, CD4+, and CD8+T-cell responses were observed after stimulation with SARS- CoV-2 spike peptides in ELISpot and activation induced marker assays, comparable to controls. Reactogenicity was generally mild without vaccine-related SAE. Conclusion After vaccination with BNT162b2 or mRNA-1273, anti-spike SARS- CoV-2 antibody levels were reduced in PLWH. To reach and maintain the same serological responses and vaccine efficacy as HIV-negative controls, additional vaccinations are probably required.
Aims The Danish authorities implemented a differential rollout of the COVID-19 vaccines where individuals at high risk of COVID-19 were prioritized. We describe the temporal uptake of COVID-19 vaccines and changing characteristics of vaccine recipients in Denmark. Methods Using the Danish national health care registries, we identified all Danish residents ≥5 years of age who received at least one dose of a COVID-19 vaccine from December 27th, 2020, to January 29th, 2022. We charted the daily number of newly vaccinated individuals and the cumulative vaccine coverage over time, stratified by vaccine type, age groups, and vaccination priority groups. In addition, we described characteristics of vaccine recipients during 2-months-intervals and in vaccination priority groups. Results By January 29th, 2022, 86%, 84% and 63% of Danish residents ≥5 years had received a first, second, and third dose, respectively, of a COVID-19 vaccine, most commonly the BNT162b2 vaccine (84% of vaccinated individuals). Vaccine uptake ranged from 48% in 5-11-year-olds up to 98% in 65-74-year-olds. Individuals vaccinated before June 2021 were older (median age 61-70 years vs. 10-35 years in later periods) and had more comorbidities such as hypertension (22-28% vs. 0.77-2.8% in later periods), chronic lung disease (9.4-15% vs. 3.7-4.6% in later periods), and diabetes (9.3-12% vs. 0.91-2.4% in later periods). Conclusions The uptake of the COVID-19 vaccines is high in Denmark. We document substantial changes over time in characteristics of vaccine recipients which should be considered when designing and interpreting studies on the effectiveness and safety of COVID-19 vaccines.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continuously evolved since its introduction to the human population in 2019. Natural selection selects variants with higher effective reproduction numbers, increasing the overall transmissibility of the circulating viruses. In order to establish effective control measures for a new variant, it is crucial to know its transmissibility and replacement time course in early phases of the variant replacement. In this paper, we conduct retrospective prediction tests of the variant replacement from Alpha to Delta in England. Our method firstly estimated the relative reproduction number, the ratio of the reproduction number of a variant to that of another, from partial observations up to a given time point. Secondly, the replacement time course after the time point was predicted based on the estimates of relative reproduction number. Thirdly, the estimated relative reproduction number and the predicted time course were evaluated by being compared to those estimated using the entire observations. We found that it is possible to estimate the relative reproduction number of Delta with respect to Alpha when the frequency of Delta was more than or equal to 0.25. Using these relative reproduction numbers, predictions targeting on 1st June 2021, the date when the frequency of Delta reached 0.90, had maximum absolute prediction errors of 0.015 for frequencies of Delta and 0.067 for the average relative reproduction number of circulating viruses with respect to Alpha. These results suggest that our method allows us to predict the time course of variant replacement in future from partial datasets observed in early phases of variant replacement.
To curb the initial spread of SARS-CoV-2, many countries relied on nation-wide implementation of non- pharmaceutical interventions, at a high socio-economic cost. Using the first COVID-19 wave in the Netherlands as a case in point, we address how subnational implementations might have achieved similar levels of epidemiological control with fewer societal consequences; e.g., parts of the country could have stayed open for longer. To this end, we develop a high-resolution analysis framework reflecting a demographically stratified population with a spatially explicit, dynamic, individual contact pattern-based epidemiology, exploiting mobility trends extracted from mobile phone signals and Google mobility. The framework is exportable to other countries and settings, and may be used to develop policies on subnational approach as a better strategic choice for controlling future epidemics.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is known to present with pulmonary and extra- pulmonary organ complications. In comparison with the 2009 pandemic (pH1N1), SARS-CoV-2 infection is likely to lead to more severe disease, with multi-organ effects, including cardiovascular disease. SARS-CoV-2 has been associated with acute and long-term cardiovascular disease, but the molecular changes govern this remain unknown. In this study, we investigated the landscape of cardiac tissues collected at rapid autopsy from SARS-CoV-2, pH1N1, and control patients using targeted spatial transcriptomics approaches. Although SARS-CoV-2 was not detected in cardiac tissue, host transcriptomics showed upregulation of genes associated with DNA damage and repair, heat shock, and M1-like macrophage infiltration in the cardiac tissues of COVID-19 patients. The DNA damage present in the SARS-CoV-2 patient samples, were further confirmed by gamma-H2Ax immunohistochemistry. In comparison, pH1N1 showed upregulation of Interferon-stimulated genes (ISGs), in particular interferon and complement pathways, when compared with COVID-19 patients. These data demonstrate the emergence of distinct transcriptomic profiles in cardiac tissues of SARS-CoV-2 and pH1N1 influenza infection supporting the need for a greater understanding of the effects on extra-pulmonary organs, including the cardiovascular system of COVID-19 patients, to delineate the immunopathobiology of SARS-CoV-2 infection, and long term impact on health.
SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and for modelling the dynamics of outbreaks. Understanding biases within case based data sources used in epidemiological analyses are important as they can detract from the value of these rich datasets. This raises questions of how variations in surveillance can affect the estimation of epidemiological parameters such as the case growth rates. We use standardised line list data of COVID-19 from Argentina, Brazil, Mexico and Colombia to estimate delay distributions of symptom-onset- to-confirmation, -hospitalisation and -death as well as hospitalisation-to-death at high spatial resolutions and throughout time. Using these estimates, we model the biases introduced by the delay from symptom-onset-to-confirmation on national and state level case growth rates (rt) using an adaptation of the Richardson-Lucy deconvolution algorithm. We find significant heterogeneities in the estimation of delay distributions through time and space with delay difference of up to 19 days between epochs at the state level. Further, we find that by changing the spatial scale, estimates of case growth rate can vary by up to 0.13 d-1. Lastly, we find that states with a high variance and/or mean delay in symptom-onset-to-diagnosis also have the largest difference between the rt estimated from raw and deconvolved case counts at the state level. We highlight the importance of high-resolution case based data in understanding biases in disease reporting and how these biases can be avoided by adjusting case numbers based on empirical delay distributions. Code and openly accessible data to reproduce analyses presented here are available.
In December 2020, the FDA granted emergency approval to Pfizer-BioNTech (BNT162b2) and Moderna (mRNA-1273) COVID-19 vaccines. There have been recent media reports of myocarditis after receiving COVID-19 vaccines, particularly the messenger RNA (mRNA) vaccines, causing public concern. This review summarizes information from published case series and case reports, with a strong emphasis on reporting patient and disease characteristics, investigation, and clinical outcome, to provide a comprehensive picture of the condition. Forty studies, including 147 cases, participated in this systematic review. The median age was 28.9 years; 93.9% were male and 6.1% were female. 72.1% of patients received the Pfizer-BioNTech (BNT162b2) vaccine, 24.5% of patients received the Moderna COVID-19 Vaccine (mRNA-1273), and the rest of the 3.3% received other types of vaccines. Furthermore, most myocarditis cases (87.1%) occurred after the second vaccine dose, after a median time interval of 3.3 days. The most frequently reported symptoms were chest pain, myalgia/body aches and fever. Troponin levels were consistently elevated in 98.6%. The admission ECG was abnormal in 88.5% of cases, and the left LVEF was lower than 50% in 26.5% of cases. The vast majority of patients (93.2%) resolved symptoms and recovered, and only 3 patients died. These findings may help public health policy to consider myocarditis in the context of the benefits of COVID-19 vaccination as well as to assess the cardiac condition before the choice of vaccine, which is offered to male adults. In addition, it must be carefully weighed against the very substantial benefit of vaccination.
Background The use of fractional dose regimens of COVID-19 vaccines has the potential to accelerate vaccination rates in low-income countries. Dose-finding studies of the mRNA vaccine BNT162b2 (Pfizer-BioNTech) have suggested that a fractional dose induces comparable antibody responses to the full, licensed dose in people below 55 years old. Here, we report the safety and immunogenicity of a fractional dose regimen of the BNT162b2 vaccine. Methods REDU-VAC is a participant-blinded, randomised, phase 4, multicentre, non-inferiority study investigating safety, reactogenicity and immunogenicity of BNT162b2. Adults aged between 18 and 55 years, without uncontrolled co-morbidities, either previously infected or infection naive, were eligible and recruited at five sites across Belgium. Participants were randomly assigned to receive 20ug/20ug (fractional dose) or 30ug/30ug (full dose) of BNT162b2, administered intra-muscularly at a three-week interval. The primary endpoint was the geometric mean ratio (GMR) of serum SARS-CoV-2 anti-RBD IgG titres at 28 days post second dose between the reduced and the full dose regimens. The reduced dose was considered non-inferior to the full dose if the lower limit of the two-sided 95% CI of the GMR was greater than 0.67. The primary analysis was done on the per-protocol population, including infection naive participants only. Findings Between April 19 and April 23, 2021, 145 participants were enrolled in the study and randomized, of whom 141 were vaccinated and reached the primary endpoint. Participants were mostly female (69.5%), of European origin (95%), with a mean age of 40.4 years (SD 7.9). At 28 days post second dose, the geometric mean titre (GMT) of SARS-CoV-2 anti-RBD IgG of the reduced dose regimen (1,705 BAU/mL) was not non-inferior to the full dose regimen (2,387 BAU/mL), with a GMR of 0.714 (two-sided 95% CI 0.540-0.944). No serious adverse events occurred. Conclusions While non-inferiority of the reduced dose regimen was not demonstrated, the SARS-CoV-2 anti-RBD IgG titre was only moderately lower than that of the full dose regimen and, importantly, still markedly higher than the reported antibody response to the licensed adenoviral vector vaccines. These data suggest that reduced doses of the BNT162b2 mRNA vaccine may offer additional benefit as compared to the vaccines currently in use in most low and middle-income countries, warranting larger immunogenicity and effectiveness trials. The trial is registered at ClinicalTrials.gov (NCT04852861).
A Clinical Trial on Sequential Immunization of Recombinant COVID-19 Vaccine (CHO Cell, NVSI-06-09) and Inactivated COVID-19 Vaccine (Vero Cell) - Condition: COVID-19
Interventions: Biological: Recombinant COVID-19 Vaccine (CHO cell，NVSI-06-09); Biological: Inactivated COVID-19 vaccine (Vero cells)
Sponsors:
National Vaccine and Serum Institute, China; China National Biotec Group Company Limited; Lanzhou Institute of Biological Products Co., Ltd; Beijing Insitute of Biological Products Co., Ltd
Not yet recruiting
Aerobic Exercise in People With Post-COVID-19 - Condition: COVID-19
Interventions: Other: Conventional rehabilitation; Other: Aerobic exercise
Sponsor: Istituti Clinici Scientifici Maugeri SpA
Recruiting
Acupressure and Qigong in Chronic Fatigue Post COVID-19. - Condition: COVID-19
Interventions: Other: self- applied acupressure plus Qigong course plus advice literature; Behavioral: advice literature with naturopathy
Sponsors:
Charite University, Berlin, Germany; Karl and Veronica Carstens Foundation
Not yet recruiting
COVID-19 Treatment Cascade Optimization Study - Condition: COVID-19
Interventions: Behavioral: Navigation Services; Behavioral: Brief Counseling; Behavioral: Critical Dialogue; Behavioral: Referral and Digital Brochure
Sponsors: University of Illinois at Urbana-Champaign; National Institute of Allergy and Infectious Diseases (NIAID); Comprehensive Behavioral Health Center; North Jersey Community Research Initiative; University of Michigan
Not yet recruiting
Phase 1/2 Study to Evaluate the Efficacy and Safety of Inhaled IBIO123 in Participants With Mild to Moderate COVID-19 Illness - Condition: COVID-19
Interventions: Biological: IBIO123; Other: Placebo
Sponsor: Immune Biosolutions Inc
Recruiting
Compass Course: COVID-19 - Condition: COVID-19
Intervention: Behavioral: Compass Course
Sponsor:
Allina Health System
Recruiting
Improving COVID-19 Vaccine Uptake Among Black and Latino Youth - Condition: COVID-19
Interventions: Behavioral: Culturally-Tailored COVID-19 Vaccine Uptake Intervention; Behavioral: Standard Care
Sponsors: Nemours Children’s Health System; National Institute of General Medical Sciences (NIGMS); University of Delaware; ChristianaCare
Recruiting
Phase 1&2 Study to Evaluate the Safety & Efficacy of Inhaled IBIO123 in Severe COVID-19 Illness - Condition: COVID-19
Interventions: Biological: IBIO123; Other: Placebo
Sponsor: Immune Biosolutions Inc
Recruiting
Clinical Evaluation of Rapid Antibody Test for Covid-19 - Condition: COVID-19
Intervention: Diagnostic Test: Livzon Rapid Antibody Test for COVID-19
Sponsors: University of Southampton; West Hertfordshire Hospitals NHS Trust
Completed
ApTOLL for the Treatment of COVID-19 - Condition: COVID-19
Interventions: Drug: ApTOLL; Other: Saline
Sponsors:
Macarena Hernández Jiménez; Centro para el Desarrollo Tecnológico Industrial
Recruiting
Platform Trial to Compare Homologous Boost of Authorized COVID-19 Vaccines and Heterologous Boost With UB-612 Vaccine - Condition: COVID-19 Vaccines
Interventions: Biological: UB-612; Biological: BNT162b2 vaccine; Biological: ChAdOx1-S vaccine; Biological: Sinopharm BIBP
Sponsors: Vaxxinity, Inc.; Syneos Health
Recruiting
A Study to Evaluate the Efficacy and Safety of Ivermectin in COVID-19 Prevention - Condition: COVID-19
Interventions: Drug: Ivermectin Tablets; Drug: Matching placebo tablets
Sponsor: MedinCell S.A
Recruiting
Nitrate-based Nutritional Formula for Oxygen Saturation and Patient-reported Outcomes in Covid-19 - Condition: COVID-19
Interventions: Dietary Supplement: NITRATE; Dietary Supplement: PLACEBO
Sponsor: University of Novi Sad, Faculty of Sport and Physical Education
Completed
COVID-19 Variant Immunologic Landscape Trial (COVAIL Trial) - Condition: COVID-19
Interventions: Biological: mRNA-1273; Biological: mRNA-1273.351; Other: Sodium Chloride, 0.9%
Sponsor: National Institute of Allergy and Infectious Diseases (NIAID)
Not yet recruiting
Tele-Rehabilitation in Individuals With Covid-19 - Condition: Individuals With Covid-19
Intervention: Other: Exercise
Sponsor:
Hacettepe University
Completed
A COVID-19 vaccine candidate composed of the SARS-CoV-2 RBD dimer and Neisseria meningitidis outer membrane vesicles - SARS-CoV-2 infection is mediated by the interaction of the spike glycoprotein trimer via its receptor-binding domain (RBD) with the host’s cellular receptor. Vaccines seek to block this interaction by eliciting neutralizing antibodies, most of which are directed toward the RBD. Many protein subunit vaccines require powerful adjuvants to generate a potent antibody response. Here, we report on the use of a SARS-CoV-2 dimeric recombinant RBD combined with Neisseria meningitidis outer membrane…
Targeting the Interaction Between Spike Protein and Nucleocapsid Protein for Suppression and Detection of Human Coronavirus OC43 - Human coronavirus OC43 (HCoV-OC43) is the coronavirus most associated with “common colds”, infections of the upper respiratory tract. Previously, we reported that direct interactions of nucleocapsid (N) protein and C-terminal domain of Spike protein (Spike CD) are essential for replication of SARS-CoV-2 and MERS-CoV. Thus, we developed a novel ELISA- based strategy targeting these specific interactions to detect SARS-CoV-2 and MERS-CoV. Here, we investigated whether the same principles apply to…
Computational Repurposing of Drugs and Natural Products Against SARS-CoV-2 Main Protease (M(pro)) as Potential COVID-19 Therapies - We urgently need to identify drugs to treat patients suffering from COVID-19 infection. Drugs rarely act at single molecular targets. Off-target effects are responsible for undesirable side effects and beneficial synergy between targets for specific illnesses. They have provided blockbuster drugs, e.g., Viagra for erectile dysfunction and Minoxidil for male pattern baldness. Existing drugs, those in clinical trials, and approved natural products constitute a rich resource of therapeutic agents…
Can pulmonary RNA delivery improve our pandemic preparedness? - The coronavirus pandemic has changed our perception of RNA medicines, and RNA vaccines have revolutionized our pandemic preparedness. But are we indeed prepared for the next variant or the next emerging virus? How can we prepare? And what does the role of inhaled antiviral RNA play in this regard? When the pandemic started, I rerouted much of the ongoing inhaled RNA delivery research in my group towards the inhibition and treatment of respiratory viral infections. Two years later, I have taken…
Molnupiravir; molecular and functional descriptors of mitochondrial safety - Molnupiravir is an orally active nucleoside analog antiviral drug that recently was approved by the U.S. FDA for emergency treatment of adult patients infected with the SARS-CoV-2 (COVID-19) virus and at risk for severe progression. The active form of the drug, N-hydroxycytidine (NHC) triphosphate competes for incorporation by RNA-dependent RNA- polymerase (RdRp) into the replicating viral genome resulting in mutations and arrest of the replicating virus. Historically, some nucleoside analog…
Vaccine based on folded RBD-PreS fusion protein with potential to induce sterilizing immunity to SARS-CoV-2 variants - CONCLUSION: The PreS-RBD vaccine has the potential to serve as a combination vaccine for inducing sterilizing immunity against SARS-CoV-2 and HBV by stopping viral replication through the inhibition of cellular virus entry.
Target Specific Inhibition of Protein Tyrosine Kinase in Conjunction With Cancer and SARS-COV-2 by Olive Nutraceuticals - The fact that viruses cause human cancer dates back to the early 1980s. By reprogramming cellular signaling pathways, viruses encoded protein that can regulate altered control of cell cycle events. Viruses can interact with a superfamily of membrane bound protein, receptor tyrosine kinase to modulate their activity in order to increase virus entrance into cells and promotion of viral replication within the host. Therefore, our study aimed at screening of inhibitors of tyrosine kinase using…
A scalable serology solution for profiling humoral immune responses to SARS-CoV-2 infection and vaccination - CONCLUSIONS: Measuring antibodies to three viral antigens and identify neutralising antibodies capable of disrupting spike-ACE2 interactions in high-throughput enables large-scale analyses of humoral immune responses to SARS-CoV-2 infection and vaccination. The reagents are available to enable scaling up of standardised serological assays, permitting inter-laboratory data comparison and aggregation.
Rational design of thioamide peptides as selective inhibitors of cysteine protease cathepsin L - Aberrant levels of cathepsin L (Cts L), a ubiquitously expressed endosomal cysteine protease, have been implicated in many diseases such as cancer and diabetes. Significantly, Cts L has been identified as a potential target for the treatment of COVID-19 due to its recently unveiled critical role in SARS-CoV-2 entry into the host cells. However, there are currently no clinically approved specific inhibitors of Cts L, as it is often challenging to obtain specificity against the many highly…
Multiple Micronutrient Supplementation: As a Supportive Therapy in the Treatment of COVID-19 - During the infection and treatment of the SARS-CoV-2 viral infection, age and comorbidities play a major role in the successful management of COVID-19. The nutritional status changes which occur in the body vary with the age and underlying conditions and has a vital role in the functioning of the immune system and cellular membrane integrity, thus minimizing the vulnerability to the infection. Considering the data already published by eminent researchers, a few micronutrients have shown…
The naturally-derived alkaloids as a potential treatment for COVID-19: A scoping review - Coronavirus disease 2019 (COVID-19) is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which has a high mortality rate and transmissibility. In this context, medicinal plants have attracted attention due to the wide availability and variety of therapeutic compounds, such as alkaloids, a vast class with several proven pharmacological effects, like the antiviral and anti-inflammatory activities. Therefore, this scoping review aimed to summarize the current knowledge of the…
NETosis and SARS-COV-2 infection related thrombosis: a narrative review - CONCLUSION: Because of NETosis can induce intrinsic and extrinsic coagulation cascade activation through the production of TF, activation of FXII, and inhibition of TFPI and fibrinolysis and induce immunothrombosis, targeting NETosis may diminish thrombus formation related to NETs in COVID-19 patients.
RNA editing increases the nucleotide diversity of SARS-CoV-2 in human host cells - SARS-CoV-2 is a positive-sense, single-stranded RNA virus responsible for the COVID-19 pandemic. It remains unclear whether and to what extent the virus in human host cells undergoes RNA editing, a major RNA modification mechanism. Here we perform a robust bioinformatic analysis of metatranscriptomic data from multiple bronchoalveolar lavage fluid samples of COVID-19 patients, revealing an appreciable number of A-to-I RNA editing candidate sites in SARS-CoV-2. We confirm the enrichment of A-to-I…
Discovery of S-217622, a Noncovalent Oral SARS-CoV-2 3CL Protease Inhibitor Clinical Candidate for Treating COVID-19 - The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2), has resulted in millions of deaths and threatens public health and safety. Despite the rapid global spread of COVID-19 vaccines, effective oral antiviral drugs are urgently needed. Here, we describe the discovery of S-217622, the first oral noncovalent, nonpeptidic SARS-CoV-2 3CL protease inhibitor clinical candidate. S-217622 was discovered via virtual screening followed by…
Curcumin and Its Analogs as a Therapeutic Strategy in Infections Caused by RNA Genome Viruses - The use of natural resources for the prevention and treatment of diseases considered fatal to humanity has evolved. Several medicinal plants have nutritional and pharmacological potential in the prevention and treatment of viral infections, among them, turmeric, which is recognized for its biological properties associated with curcuminoids, mainly represented by curcumin, and found mostly in rhizomes. The purpose of this review was to compile the pharmacological activities of curcumin and its…
MACHINE LEARNING TECHNIQUE TO ANALYZE THE WORK PRESSURE OF PARAMEDICAL STAFF DURING COVID 19 - Machine learning technique to analyse the work pressure of paramedical staff during covid 19 is the proposed invention that focuses on identifying the stress levels of paramedical staff. The invention focuses on analysing the level of stress that is induced on the paramedical staff especially during pandemic. - link
CBD Covid 19 Protection - - link
METHOD AND SYSTEM FOR IMPLEMENTING IMPROVED GENERALIZED FUZZY PEER GROUP WITH MODIFIED TRILATERAL FILTER TO REMOVE MIXED IMPULSE AND ADAPTIVE WHITE GAUSSIAN NOISE FROM COLOR IMAGES - ABSTRACTMETHOD AND SYSTEM FOR IMPLEMENTING IMPROVED GENERALIZED FUZZY PEER GROUP WITH MODIFIED TRILATERAL FILTER TO REMOVE MIXED IMPULSE AND ADAPTIVE WHITE GAUSSIAN NOISE FROM COLOR IMAGESThe present invention provides a new approach is proposed that includes fuzzy-based approach and similarity function for filtering the mixed noise. In a peer group, the similarity function was adaptive to edge information and local noise level, which was utilized for detecting the similarity among pixels. In addition, a new filtering method Modified Trilateral Filter (MTF) with Improved Generalized Fuzzy Peer Group (IGFPG) is proposed to remove mixed impulse and Adaptive White Gaussian Noise from Color Images. The modified trilateral filter includes Kikuchi algorithm and loopy belief propagation to solve the inference issues on the basis of passing local message. In this research work, the images were collected from KODAK dataset and a few real time multimedia images like Lena were also used for testing the effectiveness of the proposed methodology. - link
一种病毒核酸提取无醇裂解液、试剂盒及提取方法 - 本发明公开了一种病毒核酸提取无醇裂解液、试剂盒及提取方法。本发明病毒核酸提取无醇裂解液由胍盐、无机盐、表面活性剂和缓冲液组成；所述胍盐为异硫氰酸胍和盐酸胍中的任一种或两种；所述无机盐为氯化钠和氯化钾中的任一种或两种；所述表面活性剂为聚乙二醇和吐温20；所述缓冲液的pH值为7.5~8.5。本发明可有效避免传统核酸提取裂解液中醇类挥发或刺激性气味对人体造成伤害；配制方法简单，无有毒化学试剂，安全无污染，既可手工操作提取，也可用于自动化平台；与有醇裂解液相比，病毒核酸检测的灵敏度相当，准确度一致，线性范围相当。 - link
用于预防SARS-CoV-2奥密克戎株的腺病毒载体疫苗 - 本发明涉及用于预防SARS‑CoV‑2奥密克戎株的腺病毒载体疫苗。本发明采用密码子偏好性进行优化得到新的S基因序列，其能高效在人源细胞内高效表达，免疫机体后可高效表达S抗原，产生针对奥密克戎株SARS‑CoV‑2的中和抗体，可以有效保护机体免受奥密克戎株的侵染。 - link
表达SARS-CoV-2奥密克戎突变株病毒抗原肽的核酸序列及其应用 - 本发明提供表达SARS‑CoV‑2奥密克戎突变株病毒抗原肽的核酸序列及其应用。奥密克戎株原始的S基因序列蛋白不能有效在细胞内高效表达；本发明采用密码子偏好性进行优化得到新的S基因序，使其能高效在人源细胞内高效表达，产生相应的多肽，诱导产生相应的免疫保护反应，为SARS‑CoV‑2奥密克戎株的疫苗的研发提供基础。 - link
A STUDY ON MENTAL HEALTH, STRESS AND ANXIETY AMONG COLLEGE STUDENTS DURING COVID-19 - SARS-Cov-2 virus causes an infectious disease coronavirus(COVID-19).The Students life is made harder by COVID-19.The human reaction that happens normally to everyone through physical or emotional tension is stress. Feeling of angry, nervous and frustration caused through any thought or events leads to stress. As college closures and cancelled events, students are missing out on some of the biggest moments of their young lives as well as everyday moments like chatting with friend, participating in class and cultural programme. For students facing life changes due to the outbreak are feeling anxious, isolated and disappointed which lead them to feel all alone. We like to take the help of expert adolescent psychologist to find out the techniques to practice self-care and look after their mental health. We would like to find out whether techniques used reduce the anxiety and stress among Engineering Students. - link
A METHOD FOR THE TREATMENT OF COVID-19 INFECTIONS WITH PALMITOYLETHANOLAMIDE - - link
CONNECTING A TUTOR WITH A STUDENT - A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement. - link
ADVANCED SELF-ASSESSMENT OF GLOBAL PANDEMICS LIKE SARS-COV-2 FOR HEALTHY RACE USING MACHINE LEARNING - An Enormous quantum of fallacious gratified regarding this dangerous contagion is participated online. In this patent we exercise machine literacy to measure SARS-COV-2 content, which is deceptively evident, online, which leads to establishment of health guidance, particularly about vaccinations. We plant that the anti-vax community is developing a less focused debate around SARS-COV-2 than its counterpart, the pro-vaccination community. Yet, the opposing-vax collaborative displays a wider range of motifs related to SARS-COV-2, and hence the information can appeal to a broader sampling of individualities seeking SARS-COV-2 guidance online, for illustration individualities cautious of a obligatory fast-tracked SARS-COV-2 vaccine or those seeking volition remedies. Hence, the opposing-vax community aspects more deposited to attract fresh support going forward when compared to pro-vax community. The fashion ability of opposing-vax community leads wide lack of relinquishment of a SARS-COV-2 vaccine, which means the world falls short of furnishing herd impunity, leaving countries open to unborn SARS-COV-2 reanimations. We give a mechanistic model that infers these results and could help in assessing the likely efficacity of intervention strategies. Our system is scalable and hence encounters the critical problem facing social media platforms of having to assay huge volumes of online health misinformationFigure related to the abstract is Figure. 1.1 - link