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

Diretriz Brasileira sobre a Saúde Cardiovascular no Climatério e na Menopausa – 2024

Women, who represent approximately half of the global population according to estimates as of January 2024, may experience signs and symptoms of menopause for at least one-third of their lives, during which they have a higher risk of cardiovascular morbidity and mortality. The effects of menopausal hormone therapy (MHT) on the progression of atherosclerosis and cardiovascular disease (CVD) events vary depending on the age at which MHT is initiated and the time since menopause until its initiation. Beneficial effects on CVD outcomes and all-cause mortality have been observed when MHT was initiated before the age of 60 or within 10 years after menopause. The decision regarding the initiation, dose, regimen, and duration of MHT should be made individually after discussing the benefits and risks with each patient. For primary prevention of postmenopausal chronic conditions, the combined use of estrogen and progestogen is not recommended in asymptomatic women, nor is the use of estrogen alone in hysterectomized women. Hormone-dependent neoplasms contraindicate MHT. For the treatment of genitourinary syndrome of menopause, vaginal estrogen therapy may be used in patients with known cardiovascular risk factors or established CVD. For women with contraindications to MHT or who refuse it, non-hormonal therapies with proven efficacy (antidepressants, gabapentin, and fezolinetant) may improve vasomotor symptoms. Compounded hormonal implants, or "bioidentical" and "compounded" hormones, and "hormone modulation" are not recommended due to lack of scientific evidence of their effectiveness and safety.Mujeres, que representan aproximadamente la mitad de la población mundial según estimaciones de enero de 2024, pueden experimentar signos y síntomas de la menopausia durante al menos un tercio de sus vidas, durante los cuales tienen un mayor riesgo de morbilidad y mortalidad cardiovascular. Los efectos de la terapia hormonal de la menopausia (THM) en la progresión de la aterosclerosis y los eventos de enfermedad cardiovascular (ECV) varían según la edad en que se inicia la THM y el tiempo transcurrido desde la menopausia hasta su inicio. Se han observado efectos beneficiosos en los resultados de ECV y la mortalidad por todas las causas cuando la THM se inició antes de los 60 años o dentro de los 10 años posteriores a la menopausia. La decisión sobre la iniciación, dosis, régimen y duración de la THM debe tomarse individualmente después de discutir los beneficios y riesgos con cada paciente. Para la prevención primaria de condiciones crónicas en la posmenopausia, no se recomienda el uso combinado de estrógeno y progestágeno en mujeres asintomáticas, ni el uso de estrógeno solo en mujeres histerectomizadas. Las neoplasias dependientes de hormonas contraindican la THM. Para el tratamiento del síndrome genitourinario de la menopausia, se puede usar terapia estrogénica vaginal en pacientes con factores de riesgo cardiovascular conocidos o ECV establecida. Para mujeres con contraindicaciones a la THM o que la rechazan, las terapias no hormonales con eficacia demostrada (antidepresivos, gabapentina y fezolinetant) pueden mejorar los síntomas vasomotores. Los implantes hormonales compuestos, o hormonas "bioidénticas" y "compuestas", y la "modulación hormonal" no se recomiendan debido a la falta de evidencia científica sobre su efectividad y seguridad.As mulheres, que representam cerca de metade da população mundial segundo estimativas de janeiro de 2024, podem sofrer com sinais e sintomas da menopausa durante pelo menos um terço de suas vidas, quando apresentam maiores risco e morbimortalidade cardiovasculares. Os efeitos da terapia hormonal da menopausa (THM) na progressão de eventos de aterosclerose e doença cardiovascular (DCV) variam de acordo com a idade em que a THM é iniciada e o tempo desde a menopausa até esse início. Efeitos benéficos nos resultados de DCV e na mortalidade por todas as causas ocorreram quando a THM foi iniciada antes dos 60 anos de idade ou nos 10 anos que se seguiram à menopausa. A decisão sobre o início, a dose, o regime e a duração da THM deve ser tomada individualmente após discussão sobre benefícios e riscos com cada paciente. Para a prevenção primária de condições crônicas na pós-menopausa, não se recomendam o uso combinado de estrogênio e progestagênio em mulheres assintomáticas nem o uso de estrogênio sozinho em mulheres histerectomizadas. Neoplasias hormônio-dependentes contraindicam a THM. Para tratamento da síndrome geniturinária da menopausa, pode-se utilizar terapia estrogênica por via vaginal em pacientes com fatores de risco cardiovascular conhecidos ou DCV estabelecida. Para mulheres com contraindicação à THM ou que a recusam, terapias não hormonais com eficácia comprovada (antidepressivos, gabapentina e fezolinetante) podem melhorar os sintomas vasomotores. Os implantes hormonais manipulados, ou hormônios “bioidênticos” “manipulados”, e a ‘modulação hormonal’ não são recomendados pela falta de evidência científica de sua eficácia e segurança

2 nd Brazilian Consensus on Chagas Disease, 2015

Abstract Chagas disease is a neglected chronic condition with a high burden of morbidity and mortality. It has considerable psychological, social, and economic impacts. The disease represents a significant public health issue in Brazil, with different regional patterns. This document presents the evidence that resulted in the Brazilian Consensus on Chagas Disease. The objective was to review and standardize strategies for diagnosis, treatment, prevention, and control of Chagas disease in the country, based on the available scientific evidence. The consensus is based on the articulation and strategic contribution of renowned Brazilian experts with knowledge and experience on various aspects of the disease. It is the result of a close collaboration between the Brazilian Society of Tropical Medicine and the Ministry of Health. It is hoped that this document will strengthen the development of integrated actions against Chagas disease in the country, focusing on epidemiology, management, comprehensive care (including families and communities), communication, information, education, and research

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

NEOTROPICAL XENARTHRANS: a data set of occurrence of xenarthran species in the Neotropics

Xenarthrans—anteaters, sloths, and armadillos—have essential functions for ecosystem maintenance, such as insect control and nutrient cycling, playing key roles as ecosystem engineers. Because of habitat loss and fragmentation, hunting pressure, and conflicts with domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, 10 anteaters, and 6 sloths. Our data set includes the families Chlamyphoridae (13), Dasypodidae (7), Myrmecophagidae (3), Bradypodidae (4), and Megalonychidae (2). We have no occurrence data on Dasypus pilosus (Dasypodidae). Regarding Cyclopedidae, until recently, only one species was recognized, but new genetic studies have revealed that the group is represented by seven species. In this data paper, we compiled a total of 42,528 records of 31 species, represented by occurrence and quantitative data, totaling 24,847 unique georeferenced records. The geographic range is from the southern United States, Mexico, and Caribbean countries at the northern portion of the Neotropics, to the austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n = 5,941), and Cyclopes sp. have the fewest (n = 240). The armadillo species with the most data is Dasypus novemcinctus (n = 11,588), and the fewest data are recorded for Calyptophractus retusus (n = 33). With regard to sloth species, Bradypus variegatus has the most records (n = 962), and Bradypus pygmaeus has the fewest (n = 12). Our main objective with Neotropical Xenarthrans is to make occurrence and quantitative data available to facilitate more ecological research, particularly if we integrate the xenarthran data with other data sets of Neotropical Series that will become available very soon (i.e., Neotropical Carnivores, Neotropical Invasive Mammals, and Neotropical Hunters and Dogs). Therefore, studies on trophic cascades, hunting pressure, habitat loss, fragmentation effects, species invasion, and climate change effects will be possible with the Neotropical Xenarthrans data set. Please cite this data paper when using its data in publications. We also request that researchers and teachers inform us of how they are using these data

NEOTROPICAL ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data