Hepatitis C virus infection in Brazilian long-distance truck drivers

Hepatitis C virus (HCV) infection is a global public health problem. Long-distance truck drivers live apart from their family for long periods of time, a lifestyle that favors at-risk behaviors such as unprotected sex with multiple partners and illicit drug use. As data concerning HCV infection in this population are still rare, this paper aims to investigate the prevalence, genotypes/subtypes, and the factors associated with HCV infection in long-distance truck drivers in Brazil. A cross-sectional survey was carried out with 641 Brazilian long-truck drivers who were recruited at a major truck stop located at kilometer 1,296 of the BR-153 highway, which is considered to be one of the longest roads in Brazil. All individuals were interviewed, and their serum samples were tested for the presence of antibodies to HCV (anti-HCV) by ELISA and immunoblot. Anti-HCV positive samples were tested for HCV RNA by PCR amplification of the 5' NC and NS5B regions and were genotyped using the LiPA assay and nucleotide sequencing, respectively. Factors associated with HCV infection were identified with logistic regression. The prevalence of HCV infection was 1.4% (95% CI: 0.7-2.8). History of blood transfusion, sharing of personal hygiene tools, illicit drug use and HBV status were factors independently associated with HCV infection in the study population. HCV RNA was detected in 8/9 anti-HCV positive samples, in which genotypes 1 (n = 3), 2 (n = 2), and 3 (n = 3) were determined by LiPA. Using phylogenetic tree analysis of the NS5B region, subtypes 1a (n = 1), 1b (n = 2), 2b (n = 2) and 3a (n = 3) were identified. These data show that the prevalence of HCV infection among Brazilian truck drivers was similar to that observed for the general population. History of blood transfusion, sharing of personal hygiene tools, illicit drug use and HBV status were predictors of HCV infection. The HCV genotypes/subtypes identified in the study population are consistent with those circulating in Brazil

Prevalência, fatores de risco e genótipos da hepatite C entre usuários de drogas

OBJECTIVE: To estimate prevalence of hepatitis C virus (HCV) infection and identify risk factors associated and circulating HCV genotypes and subtypes. METHODS: Study conducted including 691 drug users attending 26 charitable, private and public drug treatment centers in Goiânia and Campo Grande, central-western Brazil, between 2005 and 2006. Sociodemographic characteristics and risk factors for HCV infection were collected during interviews. Blood samples were tested for HCV antibodies (anti-HCV). Positive samples were submitted to HCV RNA detection by PCR with primers complementary to 5' NC and NS5B regions of viral genome and genotyped by line probe assay (LiPA) and direct nucleotide sequencing followed by phylogenetic analysis. The prevalence and odds ratio were calculated with 95% confidence intervals. Risk factors were first estimated in the univariate analysis (pOBJETIVO: Estimar la prevalencia y factores asociados a la infección por el virus de la hepatitis C en usuarios de drogas e identificar los genotipos y subtipos virales circulantes. MÉTODOS: Estudio realizado con 691 usuarios de drogas de 26 centros de tratamiento de uso de drogas filantrópicos, particulares y públicos de Goiania y Campo Grande (Centro-Oeste), entre 2005 y 2006. Datos sociodemográficos y factores de riesgo para infección por el HCV fueron obtenidos por medio de entrevistas. Muestras sanguíneas fueron evaluadas para la detección de anticuerpos para el HCV. Las muestras positivas fueron sometidas a la detección de RNA-HCV por la reacción en cadena de polimerasa con iniciadores complementarios a las regiones 5' NC y NS5B del genoma viral y genotipadas por el line probe assay (LiPA) y por secuenciación directa, seguido del análisis filogenético. Prevalencia y odds ratio fueron calculados con intervalo de 95% de confianza. Los factores de riesgo con pOBJETIVO: Estimar a prevalência e fatores associados à infecção pelo vírus da hepatite C em usuários de drogas e identificar os genótipos e subtipos virais circulantes. MÉTODOS: Estudo realizado com 691 usuários de drogas de 26 centros de tratamento de uso de drogas filantrópicos, particulares e públicos de Goiânia (GO) e Campo Grande (MS), entre 2005 e 2006. Dados sociodemográficos e fatores de risco para infecção pelo HCV foram obtidos por meio de entrevistas. Amostras sangüíneas foram testadas para a detecção de anticorpos para o HCV. As amostras positivas foram submetidas à detecção do RNA-HCV pela reação em cadeia da polimerase com iniciadores complementares às regiões 5' NC e NS5B do genoma viral e genotipadas pelo line probe assay (LiPA) e por seqüenciamento direto, seguido de análise filogenética. Prevalência e odds ratio foram calculados com intervalo de 95% de confiança. Os fatores de risco com

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Corpo, Estética e Obesidade: reflexões baseadas no paradigma da indústria cultural

Atualmente, existem diversos trabalhos que discutem a questão do corpo. Entretanto, há de se considerar a relação que este corpo estabelece com a indústria cultural e como este posto avançado do capitalismo impacta sobre a noção de estética e de obesidade, constituindo ramificações para as indústrias da beleza e do emagrecimento