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1.
Cell Rep ; 38(7): 110394, 2022 02 15.
Article in English | MEDLINE | ID: covidwho-1719436

ABSTRACT

The emergence of the SARS-CoV-2 Delta variant (B.1.617.2) raises concerns about potential reduced sensitivity of the virus to antibody neutralization and subsequent vaccine breakthrough infections. Here, we use a live virus neutralization assay with sera from Pfizer- and Moderna-vaccinated individuals to examine neutralizing antibody titers against SARS-CoV-2 and observe a 3.9- and 2.7-fold reduction, respectively, in neutralizing antibody titers against the Delta variant compared with an early isolate bearing only a D614G substitution in its spike protein. We observe similar reduced sensitivity with sera from hamsters that were previously infected with an early isolate of SARS-CoV-2. Despite this reduction in neutralizing antibody titers against the Delta variant, hamsters previously infected (up to 15 months earlier) with an early isolate are protected from infection with the Delta variant, suggesting that the immune response to the first infection is sufficient to provide protection against subsequent infection with the Delta variant.


Subject(s)
Adaptive Immunity , COVID-19/immunology , SARS-CoV-2/immunology , Animals , Antibodies, Neutralizing/immunology , Antibodies, Viral/immunology , COVID-19/transmission , COVID-19/virology , COVID-19 Vaccines/immunology , Cricetinae , Disease Models, Animal , Humans , Reinfection/immunology , Reinfection/transmission , Reinfection/virology , SARS-CoV-2/genetics , Viral Load
2.
Eur Rev Med Pharmacol Sci ; 25(24): 8019-8022, 2021 12.
Article in English | MEDLINE | ID: covidwho-1605687

ABSTRACT

Recently a new variant of SARS-CoV-2 was reported from South Africa. World Health Organization (WHO) named this mutant as a variant of concern - Omicron (B.1.1.529) on 26th November 2021. This variant exhibited more than thirty amino acid mutations in the spike protein. This mutation rate is exceeding the other variants by approximately 5-11 times in the receptor-binding motif of the spike protein. Omicron (B.1.1.529) variant might have enhanced transmissibility and immune evasion. This new variant can reinfect individuals previously infected with other SARS-CoV-2 variants. Scientists expressed their concern about the efficacy of already existing COVID-19 vaccines against Omicron (B.1.1.529) infections. Some of the crucial mutations that are detected in the receptor-binding domain of the Omicron variant have been shared by previously evolved SARS-CoV-2 variants. Based on the Omicron mutation profile in the receptor-binding domain and motif, it might have collectively enhanced or intermediary infectivity relative to its previous variants. Due to extensive mutations in the spike protein, the Omicron variant might evade the immunity in the vaccinated individuals.


Subject(s)
COVID-19/epidemiology , Reinfection/epidemiology , SARS-CoV-2/pathogenicity , Spike Glycoprotein, Coronavirus/genetics , COVID-19/immunology , COVID-19/transmission , COVID-19/virology , COVID-19 Vaccines/genetics , COVID-19 Vaccines/immunology , COVID-19 Vaccines/therapeutic use , Humans , Immune Evasion/genetics , Immunogenicity, Vaccine , Mutation , Reinfection/immunology , Reinfection/transmission , Reinfection/virology , SARS-CoV-2/genetics , SARS-CoV-2/immunology , SARS-CoV-2/isolation & purification , Vaccine Potency
3.
Comput Math Methods Med ; 2021: 5384481, 2021.
Article in English | MEDLINE | ID: covidwho-1476872

ABSTRACT

In this study we propose a Coronavirus Disease 2019 (COVID-19) mathematical model that stratifies infectious subpopulations into: infectious asymptomatic individuals, symptomatic infectious individuals who manifest mild symptoms and symptomatic individuals with severe symptoms. In light of the recent revelation that reinfection by COVID-19 is possible, the proposed model attempt to investigate how reinfection with COVID-19 will alter the future dynamics of the recent unfolding pandemic. Fitting the mathematical model on the Kenya COVID-19 dataset, model parameter values were obtained and used to conduct numerical simulations. Numerical results suggest that reinfection of recovered individuals who have lost their protective immunity will create a large pool of asymptomatic infectious individuals which will ultimately increase symptomatic individuals with mild symptoms and symptomatic individuals with severe symptoms (critically ill) needing urgent medical attention. The model suggests that reinfection with COVID-19 will lead to an increase in cumulative reported deaths. Comparison of the impact of non pharmaceutical interventions on curbing COVID19 proliferation suggests that wearing face masks profoundly reduce COVID-19 prevalence than maintaining social/physical distance. Further, numerical findings reveal that increasing detection rate of asymptomatic cases via contact tracing, testing and isolating them can drastically reduce COVID-19 surge, in particular individuals who are critically ill and require admission into intensive care.


Subject(s)
COVID-19/transmission , Models, Biological , Pandemics , SARS-CoV-2 , Asymptomatic Infections/epidemiology , COVID-19/epidemiology , COVID-19/prevention & control , Computational Biology , Computer Simulation , Contact Tracing , Databases, Factual , Disease Susceptibility , Humans , Kenya/epidemiology , Masks , Pandemics/prevention & control , Pandemics/statistics & numerical data , Physical Distancing , Reinfection/epidemiology , Reinfection/transmission , SARS-CoV-2/immunology
4.
mSphere ; 6(5): e0059621, 2021 10 27.
Article in English | MEDLINE | ID: covidwho-1398579

ABSTRACT

The first descriptions of reinfection by SARS-CoV-2 have been recently reported. However, these studies focus exclusively on the reinfected case, without considering the epidemiological context of the event. Our objectives were to perform a complete analysis of the sequential infections and community transmission events around a SARS-CoV-2 reinfection, including the infection events preceding it, the exposure, and subsequent transmissions. Our analysis was supported by host genetics, viral whole-genome sequencing, phylogenomic viral population analysis, and refined epidemiological data obtained from interviews with the involved subjects. The reinfection involved a 53-year-old woman with asthma (Case A), with a first COVID-19 episode in April 2020 and a much more severe second episode 4-1/2 months later, with SARS-CoV-2 seroconversion in August, that required hospital admission. An extended genomic analysis allowed us to demonstrate that the strain involved in Case A's reinfection was circulating in the epidemiological context of Case A and was also transmitted subsequently from Case A to her family context. The reinfection was also supported by a phylogenetic analysis, including 348 strains from Madrid, which revealed that the strain involved in the reinfection was circulating by the time Case A suffered the second episode, August-September 2020, but absent at the time range corresponding to Case A's first episode. IMPORTANCE We present the first complete analysis of the epidemiological scenario around a reinfection by SARS-CoV-2, more severe than the first episode, including three cases preceding the reinfection, the reinfected case per se, and the subsequent transmission to another seven cases.


Subject(s)
COVID-19/epidemiology , Reinfection/epidemiology , COVID-19/genetics , COVID-19/transmission , COVID-19/virology , Contact Tracing , Family , Female , Genomics , Humans , Male , Middle Aged , Phylogeny , Reinfection/genetics , Reinfection/transmission , Reinfection/virology , SARS-CoV-2/genetics , Severity of Illness Index , Spain/epidemiology , Whole Genome Sequencing
5.
Life Sci Alliance ; 4(4)2021 04.
Article in English | MEDLINE | ID: covidwho-1389962

ABSTRACT

A critical question in understanding the immunity to SARS-COV-2 is whether recovered patients are protected against re-challenge and transmission upon second exposure. We developed a Syrian hamster model in which intranasal inoculation of just 100 TCID50 virus caused viral pneumonia. Aged hamsters developed more severe disease and even succumbed to SARS-CoV-2 infection, representing the first lethal model using genetically unmodified laboratory animals. After initial viral clearance, the hamsters were re-challenged with 105 TCID50 SARS-CoV-2 and displayed more than 4 log reduction in median viral loads in both nasal washes and lungs in comparison to primary infections. Most importantly, re-challenged hamsters were unable to transmit virus to naïve hamsters, and this was accompanied by the presence of neutralizing antibodies. Altogether, these results show that SARS-CoV-2 infection induces protective immunity that not only prevents re-exposure but also limits transmission in hamsters. These findings may help guide public health policies and vaccine development and aid evaluation of effective vaccines against SARS-CoV-2.


Subject(s)
COVID-19/immunology , COVID-19/transmission , Immunity , Reinfection/immunology , Reinfection/transmission , SARS-CoV-2/immunology , Age Factors , Animals , Antibodies, Neutralizing/immunology , Antibodies, Viral/immunology , COVID-19/virology , Chlorocebus aethiops , Cricetinae , Disease Models, Animal , Female , HEK293 Cells , Humans , Male , RNA, Viral/genetics , Reinfection/virology , SARS-CoV-2/genetics , Transfection , Vero Cells , Viral Load
6.
Future Microbiol ; 16: 1105-1133, 2021 09.
Article in English | MEDLINE | ID: covidwho-1381356

ABSTRACT

SARS-CoV-2 is the etiological agent of the current pandemic worldwide and its associated disease COVID-19. In this review, we have analyzed SARS-CoV-2 characteristics and those ones of other well-known RNA viruses viz. HIV, HCV and Influenza viruses, collecting their historical data, clinical manifestations and pathogenetic mechanisms. The aim of the work is obtaining useful insights and lessons for a better understanding of SARS-CoV-2. These pathogens present a distinct mode of transmission, as SARS-CoV-2 and Influenza viruses are airborne, whereas HIV and HCV are bloodborne. However, these viruses exhibit some potential similar clinical manifestations and pathogenetic mechanisms and their understanding may contribute to establishing preventive measures and new therapies against SARS-CoV-2.


Subject(s)
COVID-19/history , Pandemics/history , SARS-CoV-2/physiology , SARS-CoV-2/pathogenicity , Antiviral Agents/therapeutic use , COVID-19/epidemiology , COVID-19/transmission , Climate , Disease Reservoirs/virology , Genome, Viral , History, 19th Century , History, 20th Century , History, 21st Century , Humans , Mutation , RNA Viruses/pathogenicity , RNA Viruses/physiology , Reinfection/epidemiology , Reinfection/history , Reinfection/transmission , Reinfection/virology , Respiratory Tract Infections/drug therapy , Respiratory Tract Infections/epidemiology , Respiratory Tract Infections/history , Respiratory Tract Infections/transmission , Virus Replication , COVID-19 Drug Treatment
8.
Disaster Med Public Health Prep ; 14(4): e33, 2020 08.
Article in English | MEDLINE | ID: covidwho-679838
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