16 research outputs found

    Primeiro Registro de Aricoris campestris (H. Bates) (Lepidoptera: Riodinidae) em Palma Forrageira Nopalea cochenillifera (L.) Salm-Dyck (Cactaceae) no Brasil

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    Resumo. A palma Nopalea cochenillifera (L.) foi introduzida no Brasil para produção do corante carmim, porém logo se descobriu seu potencial como forrageira.  Até então, os relatos eram de que essa planta tinha como principais insetos-praga um grupo de cochonilhas. Este trabalho relata pela primeira vez a presença de Aricoris campestris (H. Bates) infestando essa cultura. First Record of Aricoris campestris (H. Bates) (Lepidoptera: Riodinidae) in Cacti Nopalea cochenillifera (L.) Salm-Dyck (Cactaceae) in Brazil Abstract. The Nopalea cochenillifera (L.) cacti was introduced in Brazil to produce the carmine dye, but soon its potential as forage was discovered. Until then reports were that this plant had as main insects-pest a group of mealybugs. This work reports for the first time the presence of Aricoris campestris (H. Bates) infesting this culture

    Macrofauna do solo cultivado com palma forrageira sem e com cobertura edáfica

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    A macrofauna do solo constitui um bioindicador edáfico em áreas cultivadas. A palma forrageira caracteriza-se como elemento biológico compatível a condições semiáridas. Objetivou-se analisar a macrofauna do solo em cultivo de palma forrageira sob dois tipos de manejo do solo, no semiárido do estado do Rio Grande do Norte, de dezembro/2016 a janeiro/2017. O experimento foi realizado em delineamento inteiramente casualizado com cinco repetições. Armadilhas do tipo Provid, por um período de quatro semanas, foram instaladas aleatoriamente, mantendo as aberturas ao nível da superfície do solo para a captura dos indivíduos entomológicos. Fizeram-se as coletas semanalmente em cinco pontos de cada área, com e sem cobertura do solo com resíduos vegetais, totalizando 10 armadilhas. Após a contagem dos indivíduos, calculou-se a riqueza pelo número de grupos identificados, além dos índices de diversidade de Shannon-Wiener (H) e a uniformidade de Pielou (e). Por meio do software ANAFAU, calcularam-se os índices de frequência, abundância, dominância e constância. Verificou-se que o uso de cobertura morta em solo cultivado com palma forrageira eleva a quantidade de indivíduos da macrofauna edáfica, especialmente decompositores e trituradores. Os dípteros foram os mais abundantes dentre os grupos taxonômicos, principalmente no solo sob cobertura morta

    Pervasive gaps in Amazonian ecological research

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    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

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    Familial hypercholesterolaemia in children and adolescents from 48 countries: a cross-sectional study

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    Background: Approximately 450 000 children are born with familial hypercholesterolaemia worldwide every year, yet only 2·1% of adults with familial hypercholesterolaemia were diagnosed before age 18 years via current diagnostic approaches, which are derived from observations in adults. We aimed to characterise children and adolescents with heterozygous familial hypercholesterolaemia (HeFH) and understand current approaches to the identification and management of familial hypercholesterolaemia to inform future public health strategies. Methods: For this cross-sectional study, we assessed children and adolescents younger than 18 years with a clinical or genetic diagnosis of HeFH at the time of entry into the Familial Hypercholesterolaemia Studies Collaboration (FHSC) registry between Oct 1, 2015, and Jan 31, 2021. Data in the registry were collected from 55 regional or national registries in 48 countries. Diagnoses relying on self-reported history of familial hypercholesterolaemia and suspected secondary hypercholesterolaemia were excluded from the registry; people with untreated LDL cholesterol (LDL-C) of at least 13·0 mmol/L were excluded from this study. Data were assessed overall and by WHO region, World Bank country income status, age, diagnostic criteria, and index-case status. The main outcome of this study was to assess current identification and management of children and adolescents with familial hypercholesterolaemia. Findings: Of 63 093 individuals in the FHSC registry, 11 848 (18·8%) were children or adolescents younger than 18 years with HeFH and were included in this study; 5756 (50·2%) of 11 476 included individuals were female and 5720 (49·8%) were male. Sex data were missing for 372 (3·1%) of 11 848 individuals. Median age at registry entry was 9·6 years (IQR 5·8-13·2). 10 099 (89·9%) of 11 235 included individuals had a final genetically confirmed diagnosis of familial hypercholesterolaemia and 1136 (10·1%) had a clinical diagnosis. Genetically confirmed diagnosis data or clinical diagnosis data were missing for 613 (5·2%) of 11 848 individuals. Genetic diagnosis was more common in children and adolescents from high-income countries (9427 [92·4%] of 10 202) than in children and adolescents from non-high-income countries (199 [48·0%] of 415). 3414 (31·6%) of 10 804 children or adolescents were index cases. Familial-hypercholesterolaemia-related physical signs, cardiovascular risk factors, and cardiovascular disease were uncommon, but were more common in non-high-income countries. 7557 (72·4%) of 10 428 included children or adolescents were not taking lipid-lowering medication (LLM) and had a median LDL-C of 5·00 mmol/L (IQR 4·05-6·08). Compared with genetic diagnosis, the use of unadapted clinical criteria intended for use in adults and reliant on more extreme phenotypes could result in 50-75% of children and adolescents with familial hypercholesterolaemia not being identified. Interpretation: Clinical characteristics observed in adults with familial hypercholesterolaemia are uncommon in children and adolescents with familial hypercholesterolaemia, hence detection in this age group relies on measurement of LDL-C and genetic confirmation. Where genetic testing is unavailable, increased availability and use of LDL-C measurements in the first few years of life could help reduce the current gap between prevalence and detection, enabling increased use of combination LLM to reach recommended LDL-C targets early in life

    Pervasive gaps in Amazonian ecological research

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    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

    Get PDF
    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

    New evidences on the diagnostic value of indirect immunofluorescence test and delayed hypersensitivity skin test in human infection by Leishmania (L ) infantum chagasi in the Amazon, Brazil

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    Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil / Universidade Federal do Pará. Núcleo de Medicina Tropical. Belém, Pará, Brasil.Estudo prospectivo realizado no período de maio/2006-setembro/2008, numa coorte de 1.099 indivíduos, ambos os sexos, com idades de 1 a 84 anos (média 24,4 anos), residente em área endêmica de leishmaniose visceral americana (LVA) no Município de Cametá, Pará, Brasil, objetivando analisar a prevalência e a incidência da infecção humana por Leishmania (L.) infantum chagasi, assim como a dinâmica da evolução dos seus perfis clínico-imunológicos previamente definidos: 1. Infecção assintomática (IA); 2. Infecção sintomática (IS=LVA); 3. Infecção subclínica oligossintomática (ISO); 4. Infecção subclínica resistente (ISR); e 5. Infecção inicial indeterminada (III). O diagnóstico da infecção baseou-se no uso simultâneo da reação de imunofluorescência indireta (RIFI) e reação intradérmica de hipersensibilidade tardia. Um total de 304 casos da infecção foi diagnosticado no período do estudo (187 na prevalência e 117 na incidência), gerando prevalência acumulada de 27,6%, cuja distribuição no âmbito dos perfis clínico-imunológicos foi da seguinte ordem: IA 51,6%, III 22,4%, ISR 20,1%, ISO 4,3% e, IS (=LVA) 1,6%. Com base na dinâmica da infecção, o principal achado recaiu no perfil III, que teve papel fundamental na evolução da infecção, dirigindo-a ora para o pólo imunológico de resistência, perfis ISR (21 casos - 30,8%) e IA (30 casos - 44,1%), ora para o polo imunológico de susceptibilidade, perfil IS (um caso - 1,5%); além destes, 16 casos mantiveram o perfil III até o fim do estudo. Concluiu-se que esta abordagem diagnóstica pode ajudar no monitoramento da infecção na área endêmica, visando, principalmente, prevenir a morbidade da LVA, assim como reduzir o tempo e despesas com o tratamento.This is a prospective study on a cohort of 1099 individuals of both genders, aged 1-84 years (mean 24.4 years), living in an endemic area of American visceral leishmaniasis (AVL) in the Municipality of Cametá, Brazil, from May 2006 to September 2008. It aimed to analyze the prevalence and incidence rates of human infection by Leishmania (L.) infantum chagasi, as well as the evolutional process of its previously defined clinical and immunological profiles: 1. Asymptomatic infection (AI); 2. Symptomatic infection (SI = AVL); 3. Subclinical oligosymptomatic infection (SOI); 4. Subclinical resistant infection (SRI); and 5. Indeterminate initial infection (III). The diagnosis was based on the simultaneous use of indirect immunofluorescence assay (IFA) and delayed hypersensitivity skin test. A total of 304 cases of infection were diagnosed during the period studied (187 for prevalence and 117 for incidence), generating an accumulated prevalence rate of 27.6%. The distribution regarding their clinical and immunological profiles presented the following order: AI 51.6%; III 22.4 %; SRI 20.1%; SOI 4.3%; and SI (= AVL) 1.6%. Based on the dynamics of the infection, the main discovery was about the III profile, which had an instrumental role in its evolution, directing it either to the resistant immunological pole – SRI (21 cases - 30.8%) and AI (30 cases - 44.1 %) profiles – or to the susceptible immunological pole – SI (1 case - 1.5%) profile. In addition, 16 cases remained within the III profile until the end of the study. It was concluded that this diagnostic approach can help monitor the infection in endemic areas, aiming mainly at preventing morbidity caused by AVL, and reducing the treatment time and expenses
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