The Genome of the Zoonotic Malaria Parasite Plasmodium simium Reveals Adaptions to Host-switching

Oral Session

The genome of the zoonotic malaria parasite Plasmodium simium reveals adaptations to host switching

BACKGROUND: Plasmodium simium, a malaria parasite of non-human primates (NHP), was recently shown to cause zoonotic infections in humans in Brazil. We sequenced the P. simium genome to investigate its evolutionary history and to identify any genetic adaptions that may underlie the ability of this parasite to switch between host species. RESULTS: Phylogenetic analyses based on whole genome sequences of P. simium from humans and NHPs reveals that P. simium is monophyletic within the broader diversity of South American Plasmodium vivax, suggesting P. simium first infected NHPs as a result of a host switch of P. vivax from humans. The P. simium isolates show the closest relationship to Mexican P. vivax isolates. Analysis of erythrocyte invasion genes reveals differences between P. vivax and P. simium, including large deletions in the Duffy-binding protein 1 (DBP1) and reticulocyte-binding protein 2a genes of P. simium. Analysis of P. simium isolated from NHPs and humans revealed a deletion of 38 amino acids in DBP1 present in all human-derived isolates, whereas NHP isolates were multi-allelic. CONCLUSIONS: Analysis of the P. simium genome confirmed a close phylogenetic relationship between P. simium and P. vivax, and suggests a very recent American origin for P. simium. The presence of the DBP1 deletion in all human-derived isolates tested suggests that this deletion, in combination with other genetic changes in P. simium, may facilitate the invasion of human red blood cells and may explain, at least in part, the basis of the recent zoonotic infections

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

A social and ecological assessment of tropical land uses at multiple scales: the Sustainable Amazon Network

Science has a critical role to play in guiding more sustainable development trajectories. Here, we present the Sustainable Amazon Network (Rede Amazonia Sustentavel, RAS): a multidisciplinary research initiative involving more than 30 partner organizations working to assess both social and ecological dimensions of land-use sustainability in eastern Brazilian Amazonia. The research approach adopted by RAS offers three advantages for addressing land-use sustainability problems: (i) the collection of synchronized and co-located ecological and socioeconomic data across broad gradients of past and present human use; (ii) a nested sampling design to aid comparison of ecological and socioeconomic conditions associated with different land uses across local, landscape and regional scales; and (iii) a strong engagement with a wide variety of actors and non-research institutions. Here, we elaborate on these key features, and identify the ways in which RAS can help in highlighting those problems in most urgent need of attention, and in guiding improvements in land-use sustainability in Amazonia and elsewhere in the tropics. We also discuss some of the practical lessons, limitations and realities faced during the development of the RAS initiative so far.Keywords: Social–ecological systems, Tropical forests, Land use, Interdisciplinary research, Sustainability, Trade-off

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

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

Influência do gênero no valor prognóstico da troponina I após angioplastia coronariana eletiva Influence of gender on the prognostic value of troponin I after elective percutaneous coronary interventions

OBJETIVO: Avaliar a associação entre níveis de troponina I (TnI) em pacientes submetidos, eletivamente, a intervenções coronárias percutâneas (ICP) com ocorrência de eventos cardíacos adversos (ECA) no seguimento de 6 meses. MÉTODOS: No período de um ano, foram selecionados consecutivamente 111 pacientes submetidos a ICP eletiva, com angina estável (AE), instável (AI) ou isquemia silenciosa (IS), assintomáticos por mais de 72 horas antes do procedimento. As dosagens de TnI foram realizadas entre 8 e 24 horas após a ICP. Cada paciente foi contatado por telefone, após seis meses, e questionado quanto à ocorrência de ECA, definidos como morte, infarto do miocárdio, nova revascularização e recorrência de isquemia. RESULTADOS: Ocorreu elevação de TnI em 24 (21,6%) pacientes após a ICP, independente de características clínicas e complicações do procedimento. O surgimento de eventos foi mais freqüente em quem apresentou elevação de TnI: 66,7 vs. 42,5% (RR=1,57; IC95%=1,08-2,28). Este risco parece ser maior nos subgrupos de gênero feminino e naqueles com diagnóstico prévio de AI. Após análise multivariada, apenas gênero se confirmou como co-variável modificadora de efeito com risco de ECA maior em mulheres com elevação de TnI (OR=7,22. IC95%=1,4 -36,9) e similar em homens (OR=1,26. IC95%=0,35-4,55). CONCLUSÃO: Elevação de TnI foi freqüentemente encontrada após ICP e é um fator associado ao surgimento de ECA a médio prazo. Entretanto, quando ajustada para outras variáveis, este efeito só se manteve em pacientes do gênero feminino.<br>OBJECTIVE: To evaluate the association between troponin I concentrations (TnI) in patients submitted to elective percutaneous coronary interventions (PCI) and adverse coronary events (ACE) during a six month follow-up period. METHODS: One hundred and eleven patients who had been submitted to an elective PCI were consecutively selected during a one year timeframe. The patients had stable angina (SA), unstable angina (UA) or silent ischemia (SI) and were asymptomatic for at least 72 hours before the procedure. TnI concentrations were measured between 8 and 24 hours after the PCI. Each patient was contacted by telephone six months later and interviewed regarding ACE which were defined as death, myocardial infarction, new revascularization and recurrent ischemia. RESULTS: Twenty-four patients showed elevated concentrations of TnI (21.6%) after the PCI regardless of clinical characteristics or procedure complications. Those who presented elevated TnI concentrations had higher event rates: 66.7 vs. 42.5% (RR=1.57; CI 95%=1.08-2.28). This risk seems to be higher in the subgroups of females and patients with a previous diagnosis of unstable angina. Multivariate analysis confirmed that gender was the only effect modifying co-variable associated with ACE risk, which is higher for females with elevated TnI concentrations (OR=7.22; CI 95%=1.4 -36.9) and unaltered for males (OR=1.26; CI 95%=0.35-4.55). CONCLUSION: Elevated TnI concentrations were a common occurrence after PCI and is a factor related to the development of ACE in the mid term. However, when adjusted for other variables, this effect is only maintained in female patients

Aspectos clínicos e terapêuticos da insuficiência cardíaca por doença de Chagas

OBJETIVO: Descrever as características clínicas e terapêuticas de pacientes com insuficiência cardíaca (IC) secundária a miocardiopatia chagásica crônica, bem como avaliar se estas são diferentes nas demais etiologias. MÉTODOS: Foram analisados prospectivamente pacientes atendidos no período de agosto de 2003 a junho de 2004, em um ambulatório de referência para IC. RESULTADOS: Foram incluídos 356 pacientes com o diagnóstico de IC. Miocardiopatia chagásica foi a etiologia mais freqüente, (48% dos casos). Outras etiologias foram miocardiopatia hipertensiva em 19%, dilatada idiopática em 11%, e isquêmica em 9%. Pacientes com IC secundária a miocardiopatia chagásica tinham com maior freqüência etnia não-branca (88 x 75%; p = 0,002), história familiar de doença de Chagas (57 x 21%; p = 0,001), maior tempo de doença (71 x 56 meses; p = 0,034), menor escolaridade (4,4 &plusmn; 4,1 x 5,7 &plusmn; 4,2 anos de estudo; p = 0,004), menor freqüência cardíaca (69 &plusmn; 12 x 73 &plusmn; 13; p = 0,03) e pressão arterial sistólica (121 &plusmn; 25 x 129 &plusmn; 28 mmHg; p = 0,006). Utilizavam com maior freqüência amiodarona (22 x 13%; p = 0,036) marcapassos artificiais (15 x 1%; p = 0,001) e com menor freqüência drogas betabloqueadoras (39 x 59%; p = 0,001). CONCLUSÃO: Nessa amostra de pacientes ambulatoriais com IC, em um estado com alta prevalência de doença de Chagas, miocardiopatia chagásica foi a etiologia mais freqüente, apresentando algumas características clínicas e terapêuticas diferentes dos demais pacientes