ABSTRACT
BackgroundThe COVID-19 pandemic has had a devastating impact on the world over the past two years (2020-2021). One of the key questions about its future trajectory is the protection from subsequent infections and disease conferred by a previous infection, as the SARS-CoV-2 virus belongs to the coronaviruses, a group of viruses the members of which are known for their ability to reinfect convalescent individuals. Bulgaria, with high rates of previous infections combined with low vaccination rates and an elderly population, presents a somewhat unique context to study this question. MethodsWe use detailed governmental data on registered COVID-19 cases to evaluate the incidence and outcomes of COVID-19 reinfections in Bulgaria in the period between March 2020 and early December 2021. ResultsFor the period analyzed, a total of 4,106 cases of individuals infected more than once were observed, including 31 cases of three infections and one of four infections. The number of reinfections increased dramatically during the Delta variant-driven wave of the pandemic towards the end of 2021. We observe a moderate reduction of severe outcomes (hospitalization and death) in reinfections relative to primary infections, and a more substantial reduction of severe outcomes in breakthrough infections in vaccinated individuals. ConclusionsIn the available datasets from Bulgaria, prior infection appears to provide some protection from severe outcomes, but to a lower degree than the reduction in severity of breakthrough infections in the vaccinated compared to primary infections in the unvaccinated.
ABSTRACT
Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments and vaccines, and guide public health responses. To investigate the spatiotemporal heterogeneity in the global SARS-CoV-2 genomic surveillance, we estimated the impact of sequencing intensity and turnaround times (TAT) on variant detection in 167 countries. Most countries submit genomes >21 days after sample collection, and 77% of low and middle income countries sequenced <0.5% of their cases. We found that sequencing at least 0.5% of the cases, with a TAT <21 days, could be a benchmark for SARS-CoV-2 genomic surveillance efforts. Socioeconomic inequalities substantially impact our ability to quickly detect SARS-CoV-2 variants, and undermine the global pandemic preparedness. One-Sentence SummarySocioeconomic inequalities impacted the SARS-CoV-2 genomic surveillance, and undermined the global pandemic preparedness.
ABSTRACT
Objective: To evaluate the evolution of the pathogen Mayaro virus, causing Mayaro fever (a mosquito-borne disease) and to perform selective pressure analysis and homology modelling. Methods: Nine different datasets were built, one for each protein (from protein C to non-structural protein 4) and the last one for the complete genome. Selective pressure and homology modelling analyses were applied. Results: Two main clades (A and B) were pointed in the maximum likelihood tree. The clade A included five Brazilian sequences sampled from 1955 to 2015. The Brazilian sequence sampled in 2014 significantly clustered with the Haitian sequence sampled in 2015. The clade B included the remaining 27 sequences sampled in the Central and Southern America from 1957 to 2013. Selective pressure analysis revealed several sites under episodic diversifying selection in envelope surface glycoprotein E1, non-structural protein 1 and non- structural protein 3 with a posterior probability P≤0.01. Homology modelling showed different sites modified by selective pressure and some protein-protein interaction sites at high interaction propensity. Conclusion: Maximum likelihood analysis confirmed the Mayaro virus previous circulation in Haiti and the successful spread to the Caribbean and USA. Selective pressure analysis revealed a strong presence of negatively selected sites, suggesting a probable purging of deleterious polymorphisms in functional genes. Homology model showed the position 31, under selective pressure, located in the edge of the ADP-ribose binding site predicting to possess a high potential of protein-protein interaction and suggesting the possible chance for a protective vaccine, thus preventing Mayaro virus urbanization as with Chikungunya virus.
ABSTRACT
Objective:To evaluate the evolution of the pathogen Mayaro virus, causing Mayaro fever (a mosquito-borne disease) and to perform selective pressure analysis and homology modelling.Methods:Nine different datasets were built, one for each protein (from protein C to non-structural protein 4) and the last one for the complete genome. Selective pressure and homology modelling analyses were applied.Results:Two main clades (A and B) were pointed in the maximum likelihood tree. The clade A included five Brazilian sequences sampled from 1955 to 2015. The Brazilian sequence sampled in 2014 significantly clustered with the Haitian sequence sampled in 2015. The clade B included the remaining 27 sequences sampled in the Central and Southern America from 1957 to 2013. Selective pressure analysis revealed several sites under episodic diversifying selection in envelope surface glycoprotein E1, non-structural protein 1 and non- structural protein 3 with a posterior probability P≤0.01. Homology modelling showed different sites modified by selective pressure and some protein-protein interaction sites at high interaction propensity.Conclusion:Maximum likelihood analysis confirmed the Mayaro virus previous circulation in Haiti and the successful spread to the Caribbean and USA. Selective pressure analysis revealed a strong presence of negatively selected sites, suggesting a probable purging of deleterious polymorphisms in functional genes. Homology model showed the position 31, under selective pressure, located in the edge of the ADP-ribose binding site predicting to possess a high potential of protein-protein interaction and suggesting the possible chance for a protective vaccine, thus preventing Mayaro virus urbanization as with Chikungunya virus.
ABSTRACT
Limited information is available to describe the molecular epidemiology of HIV-1 in Bulgaria. To better understand the genetic diversity and the epidemiologic dynamics of HIV-1 we analyzed 125 new polymerase (pol) sequences from Bulgarians diagnosed through 2009 and 77 pol sequences available from our previous study from persons infected prior to 2007. Epidemiologic and demographic information was obtained from each participant and phylogenetic analysis was used to infer HIV-1 evolutionary histories. 120 (59.5%) persons were infected with one of five different HIV-1 subtypes (A1, B, C, F1 and H) and 63 (31.2%) persons were infected with one of six different circulating recombinant forms (CRFs; 01_AE, 02_AG, 04_cpx, 05_DF, 14_BG, and 36_cpx). We also for the first time identified infection with two different clusters of unique A-like and F-like sub-subtype variants in 12 persons (5.9%) and seven unique recombinant forms (3.5%), including a novel J/C recombinant. While subtype B was the major genotype identified and was more prevalent in MSM and increased between 2000-2005, most non-B subtypes were present in persons ≥45 years old. CRF01_AE was the most common non-B subtype and was higher in women and IDUs relative to other risk groups combined. Our results show that HIV-1 infection in Bulgaria reflects the shifting distribution of genotypes coincident with the changing epidemiology of the HIV-1 epidemic among different risk groups. Our data support increased public health interventions targeting IDUs and MSM. Furthermore, the substantial and increasing HIV-1 genetic heterogeneity, combined with fluctuating infection dynamics, highlights the importance of sustained and expanded surveillance to prevent and control HIV-1 infection in Bulgaria.
