Brazil currently has one of the fastest growing SARS-CoV-2 epidemics in the world. Owing to limited available data, assessments of the impact of non-pharmaceutical interventions (NPIs) on virus spread remain challenging. Using a mobility-driven transmission model, we show that NPIs reduced the reproduction number from >3 to 1–1.6 in São Paulo and Rio de Janeiro. Sequencing of 427 new genomes and analysis of a geographically representative genomic dataset identified >100 international virus introductions in Brazil. We estimate that most (76%) of the Brazilian strains fell in three clades that were introduced from Europe between 22 February11 March 2020. During the early epidemic phase, we found that SARS-CoV-2 spread mostly locally and within-state borders. After this period, despite sharp decreases in air travel, we estimated multiple exportations from large urban centers that coincided with a 25% increase in average travelled distances in national flights. This study sheds new light on the epidemic transmission and evolutionary trajectories of SARS-CoV-2 lineages in Brazil, and provide evidence that current interventions remain insufficient to keep virus transmission under control in the country.
Brazil currently has one of the fastest growing SARS-CoV-2 epidemics in the world. Due to limited available data, assessments of the impact of non-pharmaceutical interventions (NPIs) on virus transmission and epidemic spread remain challenging. We investigate the impact of NPIs in Brazil using epidemiological, mobility and genomic data. Mobility-driven transmission models for Sao Paulo and Rio de Janeiro cities show that the reproduction number (Rt) reached below 1 following NPIs but slowly increased to values between 1 to 1.3 (1.0 - -1.6). Genome sequencing of 427 new genomes and analysis of a geographically representative genomic dataset from 21 of the 27 Brazilian states identified >100 international introductions of SARS-CoV-2 in Brazil. We estimate that three clades introduced from Europe emerged between 22 and 27 February 2020, and were already well-established before the implementation of NPIs and travel bans. During this first phase of the epidemic establishment of SARS-CoV-2 in Brazil, we find that the virus spread mostly locally and within-state borders. Despite sharp decreases in national air travel during this period, we detected a 25% increase in the average distance travelled by air passengers during this time period. This coincided with the spread of SARS-CoV-2 from large urban centers to the rest of the country. In conclusion, our results shed light on the role of large and highly connected populated centres in the rapid ignition and establishment of SARS-CoV-2, and provide evidence that current interventions remain insufficient to keep virus transmission under control in Brazil.
Background Mutations accrued by SARS-CoV-2 lineage P.1-first detected in Brazil in early January, 2021-include amino acid changes in the receptor-binding domain of the viral spike protein that also are reported in other variants of concern, including B.1.1.7 and B.1.351. We aimed to investigate whether isolates of wild-type P.1 lineage SARS-CoV-2 can escape from neutralising antibodies generated by a polyclonal immune response. MethodsWe did an immunological study to assess the neutralising effects of antibodies on lineage P.1 and lineage B isolates of SARS-CoV-2, using plasma samples from patients previously infected with or vaccinated against SARS-CoV-2. Two specimens (P.1/28 and P.1/30) containing SARS-CoV-2 lineage P.1 (as confirmed by viral genome sequencing) were obtained from nasopharyngeal and bronchoalveolar lavage samples collected from patients in Manaus, Brazil, and compared against an isolate of SARS-CoV-2 lineage B (SARS.CoV2/SP02.2020) recovered from a patient in Brazil in February, 2020. Isolates were incubated with plasma samples from 21 blood donors who had previously had COVID-19 and from a total of 53 recipients of the chemically inactivated SARS-CoV-2 vaccine CoronaVac: 18 individuals after receipt of a single dose and an additional 20 individuals (38 in total) after receipt of two doses (collected 17-38 days after the most recent dose); and 15 individuals who received two doses during the phase 3 trial of the vaccine (collected 134-230 days after the second dose). Antibody neutralisation of P.1/28, P.1/30, and B isolates by plasma samples were compared in terms of median virus neutralisation titre (VNT 50 , defined as the reciprocal value of the sample dilution that showed 50% protection against cytopathic effects). Findings In terms of VNT 50 , plasma from individuals previously infected with SARS-CoV-2 had an 8•6 times lower neutralising capacity against the P.1 isolates (median VNT50 30 [IQR <20-45] for P.1/28 and 30 [<20-40] for P.1/30) than against the lineage B isolate (260 [160-400]), with a binominal model showing significant reductions in lineage P.1 isolates compared with the lineage B isolate (p≤0•0001). Efficient neutralisation of P.1 isolates was not seen with plasma samples collected from individuals vaccinated with a first dose of CoronaVac 20-23 days earlier (VNT 50 s below the limit of detection [<20] for most plasma samples), a second dose 17-38 days earlier (median VNT 50 24 [IQR <20-25] for P.1/28 and 28 [<20-25] for P.1/30), or a second dose 134-260 days earlier (all VNT 50 s below limit of detection). Median VNT 50 s against the lineage B isolate were 20 (IQR 20-30) after a first dose of CoronaVac 20-23 days earlier, 75 (<20-263) after a second dose 17-38 days earlier, and 20 (<20-30) after a second dose 134-260 days earlier. In plasma collected 17-38 days after a second dose of CoronaVac, neutralising capacity against both P.1 isolates was significantly decreased (p=0•0051 for P.1/28 and p=0•0336 for P.1/30) compared with that against the lineage B isolate. All data we...
Despite the detailed characterization of the inflammatory and endothelial changes observed in Sickle Cell Disease (SCD), the hierarchical relationship between elements involved in the pathogenesis of this complex disease is yet to be described. Meta-analyses of gene expression studies from public repositories represent a novel strategy, capable to identify key mediators in complex diseases. We performed several meta-analyses of gene expression studies involving SCD, including studies with patient samples, as well as in-vitro models of the disease. Meta-analyses were performed with the Inmex bioinformatics tool, based on the RankProd package, using raw gene expression data. Functional gene set analysis was performed using more than 60 gene-set libraries. Our results demonstrate that the well-characterized association between innate immunity, hemostasis, angiogenesis and heme metabolism with SCD is also consistently observed at the transcriptomic level, across independent studies. The enrichment of genes and pathways associated with innate immunity and damage repair-associated pathways supports the model of erythroid danger-associated molecular patterns (DAMPs) as key mediators of the pathogenesis of SCD. Our study also generated a novel database of candidate genes, pathways and transcription factors not previously associated with the pathogenesis of SCD that warrant further investigation in models and patients of SCD.
Stroke is a catastrophic complication of sickle cell anaemia (SCA) and is one of the leading causes of death in both adults and children with SCA. Evidence suggests that some genetic polymorphisms could be related to stroke development, but their association remains controversial. Here, we performed genotyping of five published single nucleotide polymorphisms, the α-thalassemia genotype, the G6PD A (-) variant deficiency, and the β(S) haplotype in a large series of SCA patients with well-defined stroke phenotypes. Of 261 unrelated SCA patients included in the study, 67 (9.5 %) presented a documented, primary stroke event. Markers of haemolysis (red blood cell (RBC) counts, p = 0.023; reticulocyte counts, p = 0.003; haemoglobin (Hb) levels, p < 0.001; indirect bilirubin levels, p = 0.006; lactate dehydrogenase (LDH) levels, p = 0.001) were associated with stroke susceptibility. Genetically, only the β(S) haplotype (odds ratio (OR) 2.9, 95 % confidence interval (CI) 1.56 to 4.31; p = 0.003) and the α(3.7kb)-thalassemia genotype (OR 0.31, 95 % CI 0.11 to 0. 83; p = 0.02) were associated with increased and decreased stroke risk, respectively. In multivariate analysis, the β(S) haplotype was independently associated with stroke development (OR 2.26, 95 % CI 1.16 to 4.4; p = 0.016). Our findings suggest that only the β(S) haplotypes and the α(3.7kb)-thalassemia genotype modulate the prevalence of stroke in our SCA population. Genetic heterogeneity among different populations may account for the irreproducibility amongst different studies.
We compared the frequencies of the haptoglobin (Hp) genotypes of 775 Brazilian patients with sickle-cell disease divided into the following age groups: 3 months-5 years, 6-10 years, 11-15 years, 16-20 years, and over 20 years. The last group (>20 years) was also compared with a healthy control group and was further divided into subgroups including only subjects aged 21-30 years (V.a and Control.a) and over 30 years (V.b and Control.b). There was no significant difference in the frequencies of the Hp genotypes between the different patient groups or between the patients and controls. However, the Hp2-2 genotype was always less frequent than the Hp1-1 genotype in the patient groups, whereas the opposite was observed in healthy controls. The frequency of Hp2-2 was 25.0% in patients in the 21-30 years age group and fell to 19.5% in those over 30 years. In the controls, the corresponding frequency was around 28%. Although our results do not allow us to conclude that Hp genotypes on their own confer greater or lesser selective advantage on sickle-cell disease patients in the population studied, this polymorphism may, when combined with other genetic and environmental factors, contribute to the clinical diversity observed in this disease.
Various factors have been described as phenotypic modulators of sickle cell disease, such as levels of fetal hemoglobin (Hb F), presence of alpha-thalassemia (thal), and haplotypes of the beta-globin genes. In order to characterize and determine the frequency of the betaS and betaC mutations and the prevalence of -alpha3.7-thal, 74 patients with sickle cell disease detected during neonatal screening in the State of Pernambuco, Brazil, were studied. The haplotypes of the beta gene and -alpha3.7-thal were determined using polymerase chain reaction (PCR), and specific restriction endonucleases were used to establish the polymorphic sites of the haplotypes. The results showed the high frequency of the Central African Republic (CAR) or Bantu haplotype in the State of Pernambuco, Brazil. The low frequency of the Benin haplotype recorded in this study, in comparison with other states in northeast Brazil, suggests the diversity of origins of Afro-Brazilians in this region.
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