Increased exfoliation of immature germ cells detected in semen analysis routine and its clinical significance

To the Editor, Currently, semen analysis is the unique test to evaluate men’s fertility potential. Semen analysis provides valuable information on sperm production and quality. In addition to the conventional assessment of the sperm characteristics in a basic semen analysis routine, performing a differential diagnosis of leukocytes and sperm precursors immature germ cells (IGC) is also pivotal, due to adding valuable and clinically suitable information to the semen report [...]

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

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

On the origins of the semen analysis: A close relationship with the history of the reproductive medicine

The spermatozoa were first seen in ejaculates in the 17th century. However, the basic mechanisms of human fertilization have been only fully understood after the discovery of ovum in 1827. As a result, the interest in developing technologies for semen analysis arose from the early 1900s. Indeed, standard methodologies for semen analysis were designed mostly along the first half of the 20th century. Before the 1930s, semen analysis was nearly unavailable clinically, since there were still no robust methodologies for assessing sperm characteristics, as well as to set up standard references that could be able to assess the reproductive capacity of men. However, joining some methodologies reported from 1910 up to 1930, standardization was attained and thereby semen analysis increasingly assumed its role in laboratory practice for investigating men in barren marriage. This article aims in reviewing historical backgrounds on the semen analysis, up to its insertion in laboratory practice. Emphasis is given to the major studies that contributed either directly or indirectly in developing the earliest routine for the semen analysis

Evaluation of the activity mode rate variable pulse generator

To evaluate the physiologic benefits of the rate response estimulation, 48 patients were submited to a 24 hours Holter recording and paired tolerance treadmill test (AAI VVI and AAI-R/VVI-R modes, selected in random order) one month after implantation of an activity sensing pacemaker Activitrax 8400. Mean age of the patients was 46 years and indications for pacing included atrial arrhythmias (16 patients) or A-V conduction disturbances (32 patients, including 25 with complete A-V block). The underlying disease was Chagas cardiomiopathy, in 32 patients. Initial pacemaker setting was: basic rate: 60 or 70 ppm; maximum activity rate: 125 ppm; activity threshold: medium, rate response: 5. The 24 hours Holter recording documented appropriate changes in heart during daily activities. Oversensing, which resulted in pacing interval fluctuations, was diagnosed in two patients and required pacemaker reprograming. Treadmill test showed a significant increase in heart rate during exercise: mean control value: 66.9 ppm; 4 min.: 84.6 ppm; 6 min.: 90.5 ppm (P < 0.05). In the paired test, the AAI/VVI-Activity mode enabled the patients to increase heart rate (12.5%) and exercise time (20.2%; P < 0.05). None of the patients presented exercise induced ventricular arrhythmias in mode AAI/VVI-Activity; on the other hand, 12 patients showed ventricular arrhythmia during exercise in mode AAI/VVI. Clinical improvement and more active life was referred by all patients in this short follow-up period. The Activitrax 8400 was effective in improving patients exercise capacity.Quarenta e oito pacientes com marcapasso unicameral de ajuste automático de freqüência de pulso mediado por movimentação corporal (AAI-R/VVI-R) foram avaliados através da eletrocardiografia dinâmica, para correlacionar a atividade física com a variação da freqüência de estímulos e teste ergométrico em esteira (pareados e randomizados em modo AAI/VVI e modo AAI-R/VVI-R), para quantificar a capacidade de realizar esforço físico, um mês após o implante do gerador de pulso Activitrax 8400. A idade média dos pacientes era de 46 anos e a etiologia predominante da arritmia que motivou o implante era a miocardiopatia chagásica. O eletrocardiograma ambulatorial mostrou modificações apropriadas na freqüência cardíaca (exceto em 1 paciente, que permaneceu em ritmo sinusal). Teste ergométrico no modo AAI-R/VVI-R mostrou elevação significativa na freqüência cardíaca com relação ao valor médio controle: de 66,9+0,8 ppm para 84,6+2,1 ppm aos 14 minutos 90,5*2,8 ppm aos 6 minutos e 95,7+2,9 ppm aos 8 minutos (P < 0,05). O modo AAI-R/VVI-R possibilitou um aumento no tempo de exercício de 20,2% quando comparado ao modo AAI/VVI (P < 0,05). Em 12 pacientes, arritmias ventriculares foram detectadas durante o exercício em modo AAI/VVI, mas não no modo AAI-R/VVI-R. No curto período avaliado (1 mês), os pacientes referiram melhora clínica e puderam reassumir vida mais ativa. O gerador de pulsos Activitrax 8400 mostrou-se efetivo e seguro. A estimulação unicameral com variação da freqüência de pulso melhorou a capacidade de realizar exercícios físicos, quando comparada com a estimulação em freqüência pré-determinada.Hospital Evangélico de CuritibaInstituto de Moléstias Cardiovasculares de São José do Rio PretoInstituto de Cardiologia do Rio Grande do SulHospital Santa Isabel de SalvadorSanta Casa de Misericórdia de MaríliaEscola Paulista de MedicinaSanta Casa de Misericórdia de CuritibaHospital da Beneficência Portuguesa de São PauloUNIFESP, EPMSciEL

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