82 research outputs found

    Dedication

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67964/2/10.1177_0095798499025003001.pd

    Hepatitis B virus genotypes and resistance mutations in patients under long term lamivudine therapy: characterization of genotype G in Brazil

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    Submitted by Sandra Infurna ([email protected]) on 2018-08-02T14:46:32Z No. of bitstreams: 1 kiciamro_etal_IOC_2008.pdf: 506267 bytes, checksum: f7829a89c2411e97f96c3d5a4123f436 (MD5)Approved for entry into archive by Sandra Infurna ([email protected]) on 2018-08-02T14:57:58Z (GMT) No. of bitstreams: 1 kiciamro_etal_IOC_2008.pdf: 506267 bytes, checksum: f7829a89c2411e97f96c3d5a4123f436 (MD5)Made available in DSpace on 2018-08-02T14:57:58Z (GMT). No. of bitstreams: 1 kiciamro_etal_IOC_2008.pdf: 506267 bytes, checksum: f7829a89c2411e97f96c3d5a4123f436 (MD5) Previous issue date: 2008Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Virologia Molecular. Rio de Janeiro, RJ. Brasil.Universidade Federal de Mato Grosso. Faculdade de Ciências Médicas. Núcleo de Estudos de Doenças Infecciosas e Tropicais. Cuiabá, MT, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Virologia Molecular. Rio de Janeiro, RJ. Brasil / Fundação Municipal de Saúde de Petrópolis. Hospital Alcides Carneiro. Petrópolis, RJ. Brasil.Universidade Federal do Estado do Rio de Janeiro. Hospital Universitário Gaffrée e Guinle. Rio de Janeiro, RJ, Brasil.Universidade Federal do Estado do Rio de Janeiro. Hospital Universitário Gaffrée e Guinle. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Virologia Molecular. Rio de Janeiro, RJ. Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Virologia Molecular. Rio de Janeiro, RJ. Brasil.Lamivudine is an oral nucleoside analogue widely used for the treatment of chronic hepatitis B. The main limitation of lamivudine use is the selection of resistant mutations that increases with time of utilization. Hepatitis B virus (HBV) isolates have been classified into eight genotypes (A to H) with distinct geographical distributions. HBV genotypes may also influence pathogenic properties and therapeutic features. Here, we analyzed the HBV genotype distribution and the nature and frequency of lamivudine resistant mutations among 36 patients submitted to lamivudine treatment for 12 to 84 months

    Políticas públicas inteligentes

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    Este artigo apresenta a demanda para o desenvolvimento de uma solução informatizada, composta por um sistema web e uma aplicação para dispositivos móveis, para uso pela Justiça Federal, com foco na gestão dos apenados em regime de prestação de serviços à comunidade. O principal objetivo é apresentar formas de utilização dos sistemas propostos para auxílio no complexo processo de gestão e monitoramento da prestação de serviços à comunidade, que envolve, além dos apenados, a Justiça Federal e as instituições parceiras. O levantamento das demandas e necessidades foi realizado por meio de reuniões (presenciais e virtuais) e revisão de literatura, com o uso de artigos e livros. Por fim, são apresentadas as principais características do ambiente e as vantagens no uso da solução proposta, assim como possibilidades para a utilização dos dados gerados e como estes poderão prover subsídios para o apoio à tomada de decisões dos gestores públicos e, consequentemente, na proposição no acompanhamento de políticas públicas direcionadas à segurança pública.

    Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19

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    Coronavirus disease 2019 (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and can affect multiple organs, among which is the circulatory system. Inflammation and mortality risk markers were previously detected in COVID-19 plasma and red blood cells (RBCs) metabolic and proteomic profiles. Additionally, biophysical properties, such as deformability, were found to be changed during the infection. Based on such data, we aim to better characterize RBC functions in COVID-19. We evaluate the flow properties of RBCs in severe COVID-19 patients admitted to the intensive care unit by using microfluidic techniques and automated methods, including artificial neural networks, for an unbiased RBC analysis. We find strong flow and RBC shape impairment in COVID-19 samples and demonstrate that such changes are reversible upon suspension of COVID-19 RBCs in healthy plasma. Vice versa, healthy RBCs resemble COVID-19 RBCs when suspended in COVID-19 plasma. Proteomics and metabolomics analyses allow us to detect the effect of plasma exchanges on both plasma and RBCs and demonstrate a new role of RBCs in maintaining plasma equilibria at the expense of their flow properties. Our findings provide a framework for further investigations of clinical relevance for therapies against COVID-19 and possibly other infectious diseases

    Erysense, a Lab-on-a-Chip-Based Point-of-Care Device to Evaluate Red Blood Cell Flow Properties With Multiple Clinical Applications

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    In many medical disciplines, red blood cells are discovered to be biomarkers since they “experience” various conditions in basically all organs of the body. Classical examples are diabetes and hypercholesterolemia. However, recently the red blood cell distribution width (RDW), is often referred to, as an unspecific parameter/marker (e.g., for cardiac events or in oncological studies). The measurement of RDW requires venous blood samples to perform the complete blood cell count (CBC). Here, we introduce Erysense, a lab-on-a-chip-based point-of-care device, to evaluate red blood cell flow properties. The capillary chip technology in combination with algorithms based on artificial neural networks allows the detection of very subtle changes in the red blood cell morphology. This flow-based method closely resembles in vivo conditions and blood sample volumes in the sub-microliter range are sufficient. We provide clinical examples for potential applications of Erysense as a diagnostic tool [here: neuroacanthocytosis syndromes (NAS)] and as cellular quality control for red blood cells [here: hemodiafiltration (HDF) and erythrocyte concentrate (EC) storage]. Due to the wide range of the applicable flow velocities (0.1–10 mm/s) different mechanical properties of the red blood cells can be addressed with Erysense providing the opportunity for differential diagnosis/judgments. Due to these versatile properties, we anticipate the value of Erysense for further diagnostic, prognostic, and theragnostic applications including but not limited to diabetes, iron deficiency, COVID-19, rheumatism, various red blood cell disorders and anemia, as well as inflammation-based diseases including sepsis

    Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control

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    peer reviewedBackground: ``Artificial intelligence'' and ``big data'' increasingly take the step from just being interesting concepts to being relevant or even part of our lives. This general statement holds also true for transfusion medicine. Besides all advancements in transfusion medicine, there is not yet an established red blood cell quality measure, which is generally applied. Summary: We highlight the usefulness of big data in transfusion medicine. Furthermore, we emphasize in the example of quality control of red blood cell units the application of artificial intelligence. Key Messages: A variety of concepts making use of big data and artificial intelligence are readily available but still await to be implemented into any clinical routine. For the quality control of red blood cell units, clinical validation is still required

    The Social and Cultural Context of Coping with Sickle Cell Disease: I. A Review of Biomedical and Psychosocial Issues

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    Sickle cell disease (SCD) is widely conceived in the United States as a group of blood disorders that principally affect African Americans. Although pain is its principal feature, strokes, lung problems, sepsis, anxiety, depression, impaired social functioning, and maladjustment at work are frequent concomitants. This article selectively reviews biomedical and psychosocial aspects of SCD related to pain assessment, medical treatment, genetic counseling, education, and employment. The strongest support exists for claims of social deficits among adolescents and depression and work-related problems among adults. The social context of SCD, including issues related to socioeconomic status (SES), urbanicity, ethnicity, cultural values, and racial stigmatization, are important to include in empirical assessments and theoretical analyses of the effects of SCD on children and their families. The adverse psychosocial functioning often described as an effect of SCD might indeed be a consequence of these factors acting alone or in concert with the strains of SCD.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/67048/2/10.1177_0095798499025003002.pd

    Urban wild meat and pangolin consumption across southern forested Cameroon: The limited influence of COVID‐19

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    Overexploitation of wildlife is pervasive in many tropical regions, and in addition to being a significant conservation and sustainability concern, it has received global attention given discussions over the origins of zoonotic disease outbreaks. Where unsustainable, consumption of wild meat by urban residents has been identified as a major socio‐environmental challenge, given it is a significant driver of wildlife declines. Yet, information on urban wild meat consumers and possible ways to target conservation interventions remains lacking. Using one of the largest datasets of urban wild meat consumers (1391) collected through structured questionnaires in 20 towns and cities, we model the demographic, psychographic and spatial factors associated with wild meat consumption patterns in southern Cameroon. We find that nearly half of the sampled consumers ate wild meat once per week or more, and find that the probability of being a frequent consumer was greater among men, those living in smaller towns, and those who do not consider there to be a link between eating wild meat and disease. Threatened pangolin species are highly preferred among urban consumers, and most consumers did not consider there to be a link between COVID‐19 and pangolins. Most respondents had eaten wild meat since the beginning of COVID‐19 and had not reduced their wild meat consumption due to COVID‐19. For the first time, we show that consumers with beliefs against a link between wild meat consumption and disease and those with greater income were less likely to have decreased their wild meat consumption. We identified stakeholders including teachers and religious/community leaders as potentially appropriate messengers for demand‐reduction campaigns, with television and radio being the most trusted communication channels among wild meat consumers. Crucially, our study advances current scientific understanding of the factors that influence wild meat consumption frequency and change due to COVID‐19 by urban consumers (particularly health beliefs and settlement size). We discuss how our results could be used to inform the design of wild meat demand‐reduction interventions to bring the consumption of wild meat towards sustainability in Cameroon, and our approach applied pan‐tropically. Read the free Plain Language Summary for this article on the Journal blog

    Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19

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    Coronavirus disease 2019 (COVID-19) is caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and can affect multiple organs, among which is the circulatory system. Inflammation and mortality risk markers were previously detected in COVID-19 plasma and red blood cells (RBCs) metabolic and proteomic profiles. Additionally, biophysical properties, such as deformability, were found to be changed during the infection. Based on such data, we aim to better characterize RBC functions in COVID-19. We evaluate the flow properties of RBCs in severe COVID-19 patients admitted to the intensive care unit by using microfluidic techniques and automated methods, including artificial neural networks, for an unbiased RBC analysis. We find strong flow and RBC shape impairment in COVID-19 samples and demonstrate that such changes are reversible upon suspension of COVID-19 RBCs in healthy plasma. Vice versa, healthy RBCs resemble COVID-19 RBCs when suspended in COVID-19 plasma. Proteomics and metabolomics analyses allow us to detect the effect of plasma exchanges on both plasma and RBCs and demonstrate a new role of RBCs in maintaining plasma equilibria at the expense of their flow properties. Our findings provide a framework for further investigations of clinical relevance for therapies against COVID-19 and possibly other infectious diseases
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