Identification and genetic characterization of classical swine fever virus isolates in Brazil: a new subgenotype.

The classical swine fever (CSF) is a highly contagious viral disease of pigs and wild boar. The CSF causes great economic losses for pork production and the occurrence of the disease is notifiable to the OIE. The objective of this work was to identify and characterize CSF virus isolates from Brazil. Seven viral isolates were obtained and the full-length E2 sequences were analyzed. Phylogenetic analysis revealed a different segregation pattern between Brazilian isolates and members of subgenotype 1.1, forming a separate group within genotype 1. Genetic distance analysis suggested the existence of two new subgenotypes, designated subgenotypes 1.5 and 1.6.

Seroprevalence of SARS-CoV-2 on health professionals via Bayesian estimation: a Brazilian case study before and after vaccines.

The increasing number of COVID-19 infections brought by the current pandemic has encouraged the scientific community to analyze the seroprevalence in populations to support health policies. In this context, accurate estimations of SARS-CoV-2 antibodies based on antibody tests metrics (e.g., specificity and sensitivity) and the study of population characteristics are essential. Here, we propose a Bayesian analysis using IgA and IgG antibody levels through multiple scenarios regarding data availability from different information sources to estimate the seroprevalence of health professionals in a Northeastern Brazilian city: no data available, data only related to the test performance, data from other regions. The study population comprises 432 subjects with more than 620 collections analyzed via IgA/IgG ELISA tests. We conducted the study in pre- and post-vaccination campaigns started in Brazil. We discuss the importance of aggregating available data from various sources to create informative prior knowledge. Considering prior information from the USA and Europe, the pre-vaccine seroprevalence means are 8.04% and 10.09% for IgG and 7.40% and 9.11% for IgA. For the post-vaccination campaign and considering local informative prior, the median is 84.83% for IgG, which confirms a sharp increase in the seroprevalence after vaccination. Additionally, stratification considering differences in sex, age (younger than 30 years, between 30 and 49 years, and older than 49 years), and presence of comorbidities are provided for all scenarios.

Early molecular markers predictive of dengue hemorrhagic fever.

The management of acute dengue patients during outbreaks is a challenging problem. Most of the dengue fever cases are benign, but some cases develop into a severe and possibly lethal vasculopathy, known as dengue hemorrhagic fever. Early symptoms of dengue and hemorrhagic fever are very similar. An early differential diagnosis is needed to predict which of these two clinical presentations is crucial to proper patient care and public health management. This study evaluates the predictive potential of specific mRNA expression markers of dengue hemorrhagic fever using quantitative real-time PCR assays. Six candidate 'dengue hemorrhagic fever specific signature genes' were evaluated and all showed good correlation among their transcription levels at early days of infection and the later development of severe vasculopathy. The markers selected were able to indicate, at early stages of infection, the evolution of a dengue-infected patient to the severe form of the illness. Despite the fact that these results grant further validation studies, the panel of candidate prognostic markers obtained demonstrated the potential to be useful for clinical use in the form of a fast assay based in blood samples.

Gene expression profiling during early acute febrile stage of dengue infection can predict the disease outcome.

BACKGROUND: We report the detailed development of biomarkers to predict the clinical outcome under dengue infection. Transcriptional signatures from purified peripheral blood mononuclear cells were derived from whole-genome gene-expression microarray data, validated by quantitative PCR and tested in independent samples. METHODOLOGY/PRINCIPAL FINDINGS: The study was performed on patients of a well-characterized dengue cohort from Recife, Brazil. The samples analyzed were collected prospectively from acute febrile dengue patients who evolved with different degrees of disease severity: classic dengue fever or dengue hemorrhagic fever (DHF) samples were compared with similar samples from other non-dengue febrile illnesses. The DHF samples were collected 2-3 days before the presentation of the plasma leakage symptoms. Differentially-expressed genes were selected by univariate statistical tests as well as multivariate classification techniques. The results showed that at early stages of dengue infection, the genes involved in effector mechanisms of innate immune response presented a weaker activation on patients who later developed hemorrhagic fever, whereas the genes involved in apoptosis were expressed in higher levels. CONCLUSIONS/SIGNIFICANCE: Some of the gene expression signatures displayed estimated accuracy rates of more than 95%, indicating that expression profiling with these signatures may provide a useful means of DHF prognosis at early stages of infection.

Early molecular markers predictive of dengue hemorrhagic fever

The management of acute dengue patients during outbreaks is a challenging problem. Most of the dengue fever cases are benign, but some cases develop into a severe and possibly lethal vasculopathy, known as dengue hemorrhagic fever. Early symptoms of dengue and hemorrhagic fever are very similar. An early differential diagnosis is needed to predict which of these two clinical presentations is crucial to proper patient care and public health management. This study evaluates the predictive potential of specific mRNA expression markers of dengue hemorrhagic fever using quantitative real-time PCR assays. Six candidate "dengue hemorrhagic fever specific signature genes" were evaluated and all showed good correlation among their transcription levels at early days of infection and the later development of severe vasculopathy. The markers selected were able to indicate, at early stages of infection, the evolution of a dengue-infected patient to the severe form of the illness. Despite the fact that these results grant further validation studies, the panel of candidate prognostic markers obtained demonstrated the potential to be useful for clinical use in the form of a fast assay based in blood samples.

O manejo de pacientes infectados pelo dengue ainda é um problema desafiador. A maioria dos casos de dengue é benigna mas parte desses casos pode evoluir para o desenvolvimento de vasculopatia severa conhecida como dengue hemorrágica, que pode ser letal. Os sintomas iniciais da dengue e sua forma hemorrágica são bastante similares. O desenvolvimento de um teste diagnóstico que seja rápido e capaz de diferenciar as duas formas clínicas da dengue é crucial para o cuidado adequado de pacientes. O presente estudo avalia, através da PCR quantitativa em tempo real, o potencial preditivo dos níveis de expressão de RNAm candidatos a marcadores da dengue hemorrágica, previamente identificados por estudos genômicos funcionais. Um conjunto de seis marcadores moleculares para a dengue hemorrágica foi avaliado e apresentou correlação entre seus níveis de transcrição e o posterior desenvolvimento da vasculopatia severa. Os marcadores selecionados foram capazes de indicar, nos momentos iniciais dos sintomas, a evolução de um paciente infectado pelo dengue para a forma severa da doença. O painel de candidatos a marcadores de prognóstico obtido demonstrou um bom potencial para uso clínico na forma de um ensaios rápido baseado em amostras de sangue.