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Lima, A. R. J.

Publications and source records attributed to Lima, A. R. J..

4 recordsLinked to original sources

Unraveling Dengue Serotype 3 Transmission in Brazil: Evidence for Multiple Introductions of the 3III_B.3.2 Lineage

Dengue, caused by DENV 1-4, remains a global public health concern, with Brazil experiencing some of the largest epidemics. The reemergence of DENV-3 in Brazil between 2023 and 2024 has raised concerns about new outbreaks due to the absence of sustained circulation of this serotype in recent years. This study investigates the dynamics of DENV-3 in Brazil, focusing on the spread of the 3III_B.3.2 lineage within genotype 3III and its introduction routes. We analyzed 1,536 DENV-3 genomes, all classified as genotype 3III, the dominant DENV-3 genotype in Brazil since 2001. Phylogenetic analysis identified the 3III_B.3.2 lineage in all recent Brazilian cases, with detections also reported in Central America, the United States, and Europe. At least six independent introduction events of this lineage into Brazil were identified, with the Caribbean region and Costa Rica as the primary sources. The earliest introduction likely occurred in late 2022 in Roraima, followed by introductions in Sao Paulo, Minas Gerais, and Para. While one instance of interstate transmission was detected -- from Sao Paulo to Minas Gerais -- our findings indicate that external introductions, rather than domestic spread, were the primary drivers of DENV-3 circulation during this period. These results underscore the importance of continued genomic surveillance and coordinated public health strategies to monitor and mitigate future outbreaks.

bioinformatics↗

Comprehensive Molecular Epidemiology of Influenza Viruses in Brazil: Insights from a Nationwide Analysis

Influenza A and B viruses pose significant global health threats, with substantial impacts on morbidity and mortality. Understanding their molecular epidemiology in Brazil, a key hub for the circulation and dissemination of these viruses in South America, remains limited. This study, part of the Center for Viral Surveillance and Serological Assessment (CeVIVAS) project, addresses this by analyzing data and samples from all Brazilian macroregions, along with publicly available sequences from 2021-2023. Phylogenetic analysis of the Hemagglutinin (HA) segment of Influenza A/H1N1pdm09, A/H3N2, and Influenza B/Victoria-lineage revealed the predominance of A/H3N2 2a.3 strain in 2021 and early 2022. This was succeeded by A/H3N2 2b until October 2022, after which A/H1N1pdm09 5a.2a and 5a.2a.1 lineages became prevalent, maintaining this status throughout 2023. B/Victoria circulated at low levels between December 2021 and September 2022, becoming co-prevalent with A/H1N1pdm09 5a.2a and 5a.2a.1 lineages. Comparing the vaccine strain A/Darwin/9/2021 with circulating A/H3N2 viruses from 2021-2023 revealed shared mutations to aspartic acid at residues 186 and 225, altering the RBD domains charge. For A/H1N1pdm09, the 2022 consensus of 5a.2a.1 and the vaccine strain A/Victoria/2570/2019 had 14 amino acid substitutions. Key residues such as H180, D187, K219, R223, E224, and T133 are involved in hydrogen interactions with sialic acids, while N130, K142, and D222 may influence distance interactions based on docking analyses. Distinct Influenza A lineage frequency patterns across Brazils macroregions underscore regional variations in virus circulation. This study characterizes the dynamics of Influenza A and B viruses in Brazil, offering valuable insights into their circulation patterns. These findings have significant public health implications, informing strategies to mitigate transmission risks, optimize vaccination efforts, and enhance outbreak control measures. Author summaryThis study investigates the molecular epidemiology of Influenza A and B viruses in Brazil from 2021 to 2023. Utilizing data from the Center for Viral Surveillance and Serological Assessment (CeVIVAS) and public databases, we performed a comprehensive phylogenetic analysis of the Hemagglutinin segments of Influenza A/H1N1pdm09, A/H3N2, and B/Victoria-lineage viruses across all Brazilian macroregions. Key findings reveal that the A/H3N2 2a.3 strain was predominant in 2021 and early 2022, followed by A/H3N2 2b, and later by A/H1N1pdm09 5a.2a and 5a.2a.1 lineages in late 2022 and throughout 2023. The B/Victoria strain circulated at low levels initially and later co-prevailed with A/H1N1pdm09 lineages. Comparing the vaccine strain A/Darwin/9/2021 with circulating A/H3N2 viruses from 2021-2023 and A/Victoria/2570/2019 with 5a.2a.1 of A/H1N1pdm09 circulating in 2022 revealed significant mutations which could affect the interaction of the viruses with sialic acids and potentially impact vaccine efficacy. Notably, we identified a substitution pattern among the predominant Influenza subtypes and observed distinct regional variations in Influenza A lineage frequencies across Brazil. These findings are critical for optimizing vaccination strategies and provide valuable data to inform public health policy and improve health outcomes.

evolutionary biology↗

Proposing a Systematic Lineage Classification Below the Genotype Level for Dengue Serotypes 1 and 2

Dengue virus (DENV), a mosquito-borne flavivirus, is causing a significant outbreak in Brazil. The recent surge in complete DENV genome sequences necessitates a standardized classification system for an improved understanding of viral dynamics and transmission patterns. Traditionally, DENV classification relies on serotypes and genotypes but lacks a consensus for sub-genotype classification. This hinders comprehensive analyses of viral diversity. We address this gap by proposing a novel lineage classification system for DENV using a semi-automatic workflow, leveraging the use of complete genome sequences to classify and re-evaluate DENV genetic diversity. This system offers a more granular classification scheme compared to current methods. The proposed hierarchical nomenclature, incorporating serotype, genotype, subgenotype, lineage, and sublineage, facilitates precise tracking of viral introductions and evolutionary events. This information might have crucial implications for public health interventions, enabling more targeted control strategies and improved monitoring of vaccine effectiveness during future outbreaks.

bioinformatics↗

First Genome-Scale Metabolic Modeling of Brucella abortus Predicts Pathogen Gene Essentiality and New Drug Target

Bovine brucellosis, a globally widespread disease, imposes substantial economic burdens on livestock production. The pathogen, Brucella abortus, has a particular affinity for infecting cattle and can also impact humans, potentially posing a public health risk in regions where the disease persists. To gain a deeper understanding of the pathogens biology and its interactions with the host, Pathogen-specific Genome-Scale Metabolic Models offer valuable insights. They aid in identifying novel pharmacological targets and biomarkers, which can inform innovative brucellosis control strategies. In this study, we developed and validated the first Genome-Scale Metabolic Model of B. abortus 2308, named iBP932, encompassing 932 genes, 1,140 reactions, and 999 metabolites. Furthermore, iBP932 capability to predict potential drug targets was demonstrated.

systems biology↗