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1.
Emerg Microbes Infect ; 11(1): 2724-2734, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2087655

ABSTRACT

The development of safe and effective vaccines to respond to COVID-19 pandemic/endemic remains a priority. We developed a novel subunit protein-peptide COVID-19 vaccine candidate (UB-612) composed of: (i) receptor binding domain of SARS-CoV-2 spike protein fused to a modified single-chain human IgG1 Fc; (ii) five synthetic peptides incorporating conserved helper and cytotoxic T lymphocyte (Th/CTL) epitopes derived from SARS-CoV-2 structural proteins (three from S2 subunit, one from membrane and one from nucleocapsid), and one universal Th peptide; (iii) aluminum phosphate as adjuvant. The immunogenicity and protective immunity induced by UB-612 vaccine were evaluated in four animal models: Sprague-Dawley rats, AAV-hACE2 transduced BALB/c mice, rhesus and cynomolgus macaques. UB-612 vaccine induced high levels of neutralizing antibody and T-cell responses, in all animals. The immune sera from vaccinated animals neutralized the SARS-CoV-2 original wild-type strains and multiple variants of concern, including Delta and Omicron. The vaccination significantly reduced viral loads, lung pathology scores, and disease progression after intranasal and intratracheal challenge with SARS-CoV-2 in mice, rhesus and cynomolgus macaques. UB-612 has been tested in primary regimens in Phase 1 and Phase 2 clinical studies and is currently being evaluated in a global pivotal Phase 3 clinical study as a single dose heterologous booster.


Subject(s)
COVID-19 , Viral Vaccines , Rats , Mice , Humans , Animals , SARS-CoV-2 , COVID-19 Vaccines , Broadly Neutralizing Antibodies , Pandemics/prevention & control , COVID-19/prevention & control , Rats, Sprague-Dawley , Spike Glycoprotein, Coronavirus , Antibodies, Neutralizing , Vaccines, Subunit/genetics , Mice, Inbred BALB C , Macaca mulatta , Antibodies, Viral
2.
J Infect Dis ; 226(8): 1401-1406, 2022 10 17.
Article in English | MEDLINE | ID: covidwho-2077781

ABSTRACT

The highly transmissible severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has caused high rates of breakthrough infections in those previously vaccinated with ancestral strain coronavirus disease 2019 (COVID-19) vaccines. Here, we demonstrate that a booster dose of UB-612 vaccine candidate delivered 7-9 months after primary vaccination increased neutralizing antibody levels by 131-, 61-, and 49-fold against ancestral SARS-CoV-2 and the Omicron BA.1 and BA.2 variants, respectively. Based on the receptor-binding domain protein binding antibody responses, the UB-612 third-dose booster may lead to an estimated approximately 95% efficacy against symptomatic COVID-19 caused by the ancestral strain. Our results support UB-612 as a potential potent booster against current and emerging SARS-CoV-2 variants.


Subject(s)
COVID-19 , Viral Vaccines , Antibodies, Neutralizing , Antibodies, Viral , COVID-19/prevention & control , Humans , SARS-CoV-2
3.
Emerg Microbes Infect ; 10(1): 342-355, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1069193

ABSTRACT

The current study aims to develop a safe and highly immunogenic COVID-19 vaccine. The novel combination of a DNA vaccine encoding the full-length Spike (S) protein of SARS-CoV-2 and a recombinant S1 protein vaccine induced high level neutralizing antibody and T cell immune responses in both small and large animal models. More significantly, the co-delivery of DNA and protein components at the same time elicited full protection against intratracheal challenge of SARS-CoV-2 viruses in immunized rhesus macaques. As both DNA and protein vaccines have been proven safe in previous human studies, and DNA vaccines are capable of eliciting germinal center B cell development, which is critical for high-affinity memory B cell responses, the DNA and protein co-delivery vaccine approach has great potential to serve as a safe and effective approach to develop COVID-19 vaccines that provide long-term protection.


Subject(s)
COVID-19 Vaccines/immunology , COVID-19/prevention & control , Spike Glycoprotein, Coronavirus/immunology , Vaccines, DNA/immunology , Vaccines, Subunit/immunology , Animals , Antibodies, Neutralizing/blood , Antibodies, Neutralizing/immunology , Antibodies, Viral/blood , Antibodies, Viral/immunology , Cell Line , DNA/immunology , HEK293 Cells , Humans , Lymphocyte Count , Macaca mulatta , Mice , Mice, Inbred C57BL , Plasmids/genetics , Rabbits , Recombinant Proteins/immunology , SARS-CoV-2/genetics , SARS-CoV-2/immunology , T-Lymphocytes/immunology
4.
Emerg Microbes Infect ; 9(1): 2465-2473, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-975181

ABSTRACT

We previously described a mathematical model to simulate the course of the COVID-19 pandemic and try to predict how this outbreak might evolve in the following two months when the pandemic cases will drop significantly. Our original paper prepared in March 2020 analyzed the outbreaks of COVID-19 in the US and its selected states to identify the rise, peak, and decrease of cases within a given geographic population, as well as a rough calculation of accumulated total cases in this population from the beginning to the end of June 2020. The current report will describe how well the later actual trend from March to June fit our model and prediction. Similar analyses are also conducted to include countries other than the US. From such a wide global data analysis, our results demonstrated that different US states and countries showed dramatically different patterns of pandemic trend. The values and limitations of our modelling are discussed.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus Infections/pathology , Models, Theoretical , Pneumonia, Viral/epidemiology , Pneumonia, Viral/pathology , Betacoronavirus , COVID-19 , Geography , Humans , Pandemics , SARS-CoV-2 , Seasons
5.
Emerg Microbes Infect ; 9(1): 827-829, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-125317

ABSTRACT

COVID-19, the worst pandemic in 100 years, has rapidly spread to the entire world in 2 months since its early report in January 2020. Based on the publicly available data sources, we developed a simple mathematic modeling approach to track the outbreaks of COVID-19 in the US and three selected states: New York, Michigan and California. The same approach is applicable to other regions or countries. We hope our work can stimulate more effort in understanding how an outbreak is developing and how big a scope it can be and in what kind of time framework. Such information is critical for outbreak control, resource utilization and re-opening of the normal daily life to citizens in the affected community.


Subject(s)
Coronavirus Infections/epidemiology , Models, Biological , Pandemics/statistics & numerical data , Pneumonia, Viral/epidemiology , COVID-19 , Coronavirus Infections/prevention & control , Humans , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , United States/epidemiology
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