50 research outputs found
Green core clinopyroxenes from Martin Vaz Archipelago Plio-Pleistocenic alkaline rocks, South Atlantic Ocean, Brazil: a magma mixing and polybaric crystallization record
Martin Vaz Archipelago is located at the parallel 20°S, 1200 km away from the Brazilian coastline and is composed of Plio-Pleistocenic alkaline rocks that represent the last volcanic event of the Vitória-Trindade Ridge. The Archipelago is divided into three main units: Pico das Gaivotas Unit (i) is made up of nosean-phonolite and phono-tephrite domes and tephri-phonolite dykes with clinopyroxene, nosean and potassic feldspar phenocrysts, and scarce kaersutite anhedral phenocrysts; the Bandeira Unit (ii), in turn, comprises melanephelinitic and basanitic lava flows with olivine and clinopyroxene (diopside) phenocrysts; and lastly, the Basal Unit (iii) is composed of pyroclastic deposits with tuffs, lapilli-tuffs and lapillite. The clinopyroxene phenocrysts from Pico das Gaivotas and Bandeira Units have anhedral green cores with sieved and poikilitic textures and show reaction rims composed of opaque minerals, indicating disequilibrium and compositional changes in the liquid. This study provides mineral chemistry data indicating that clinopyroxene rims are more primitive (Mg# 57.46–84.12) and enriched in Al–Ti–Fe3+-Ca compared to the Fe-rich green-cores, probably related with a more primitive Ca-rich magma input in the magmatic chamber after the green-core crystallization from a different liquid. Olivine crystals from Bandeira Unit show resorption features and no compositional affinity with the analyzed liquid, indicating that these crystals have a xenocrystic origin from mantle peridotitic source. Clinopyroxene geothermobarometry data suggest different pressure and temperature conditions for cores and rims during crystallization, reflecting a polybaric evolutionary history. Pico das Gaivotas Unit clinopyroxene phenocrysts suggest a particularly higher-pressure environment, and a complex evolutionary history.publishe
Geology, Petrology and Magmatic Evolution of the Felsic Alkaline Rocks of the Vitória Island, São Paulo State, Brazil
This paper presents geological, petrographic, geochemical characteristics and radiometric ages for the felsic alkaline rocks of the Vitória Island Intrusive Complex, São Paulo State, Brazil, and discusses its geochemical evolutionary processes. This intrusive body is about 3 km in diameter and the emerged island areas correspond to its northeastern border. The main intrusion is constituted by nepheline syenite at the central zone, nepheline-bearing syenite at the outer zone, syenite at the border, and quartz syenite at the contact zone with alkali feldspar represented by orthoclase. Clinopyroxene vary from hedenbergite, soda-augite to aegirine-augite, and some crystals have resorption shape and amphibole reaction rim. They are intruded by phonolite, trachyte and lamprophyre dykes. Based on the intrusion relation, the dykes are subdivided into two generations: the first one encompass a radial system and the second a parallel system with NE-SW orientation and sinistral displacement. The alkaline rocks vary from silica undersaturated to oversaturated, show peralkaline to peraluminous compositions and belong to the potassic series. The K-Ar ages for amphibole of the nepheline-bearing syenite and syenite are 89.58 ± 3.18 Ma and 84.35 ± 3.92 Ma, respectively. The rocks are strongly fractionated with high differentiation index (DI) of 88.15 in average, indicating mafic minerals fractionation. K2O/ (K2O+Na2O) ratios are low, in average 0.51, in accordance to crystallization of pseudo leucite and potassic feldspar the last observed in thin sections
GEOCRONOLOGIA U-Pb E Lu-Hf EM ORTOGNAISSES DA REGIÃO DE ESPERA FELIZ (MG): CONTRIBUIÇÃO A EVOLUÇÃO CRUSTAL DO EMBASAMENTO RIACIANO NO LIMITE DOS ORÓGENOS RIBEIRA E ARAÇUAÍ: U-Pb and Lu-Hf geochronology of orthogneisses from Espera Feliz region (MG): contribution to the Rhyacian evolution of the basement at the limit of the Ribeira and Araçuai Orogens
The Araçuaí Orogen was developed during the Brasiliano Cycle when collisional events deformed the basement represented by migmatite orthogneisses. Petrographic studies in Espera Feliz region indicate orthogneiss and paragneiss granitoids and granulites. The U-Pb and Lu-Hf analysis in zircon grains by LA-ICP-MS, allowed to obtain crystallization and metamorphic ages and informations on sources of analysed rocks. The zircons have rounded and / or elongated morphology, being possible the identification of inherited nuclei and overgrowth in the grains through the images made in the SEM. U-Pb geochronological analyzes have protolite ages varying from 2200 a 2075 Ma, (εHf values from -21,8 e -8,9 and TDM from 2,83 a 2,06 Ga), Neoproterozoic granites crystallization ages from 630 to 597 Ma and metamorphism ages from 602 Ma to 582 Ma (εHf values from -14,6 and -6,7 and TDM from 2,22 to 1,78 Ga). These results allow suggesting the formation of the Paleoproterozoic basement originated in the environment of magmatic arc (2201-1996 Ma). These rocks were intruded by neoproterozoic magmatism (626-622 Ma). The third event identified in the U-Pb ages of the rocks studied is characterized by metamorphism and crustal melting (602-582 Ma) during the collision and amalgamation of Gondwana supecontinent.
Este artigo apresenta os resultados isotópicos de U-Pb e Lu-Hf de amostras situadas nos limites dos Orógenos Ribeira e Araçuai, em ortognaisses na região de Espera Feliz (MG). As análises petrográficas indicam paragêneses formadas Opx+Kfs+Pl+Qz+Gn formadas na fácies gramulito. Na área próxima da Serra do Caparaó são observados ortognaisses e paragnaisses além de milonitos e protomilinitos que evidenciam as zonas de cisalhamento. As rochas foram agrupadas nos seguintes litotipos: ortognaisses heterogêneos, ortogranulito e granada chanockito, além do paragnaisse, granada silimanita biotita gnaisse, e biotita leucogranito. As análises de U-Pb e Lu-Hf em grãos de zircão por LA-ICP-MS, permitiram a obtenção de idades de cristalização e de metamorfismo, além de informações sobre as fontes dos magmas. Os grãos de zirção apresentam, de forma geral, morfologia arredondada e/ou alongada, sendo possível a identificação de núcleos herdados e sobrecrescimento nos grãos através das imagens feitas no MEV. Análises geocronológicas U-Pb apresentam idades de cristalização, para os ortognaisses paleoproterozóicos, que variam de 2200 a 2075 Ma, com valores de εHf variando de -21,8 e -8,9 e TDM de 2,83 a 2,06 Ga (sugerindo fontes mantélicas com importante participação crustal na formação dos magmas destas rochas) e idades de metamorfismo de 600 a 570 Ma. Para os ortognaisses neoproterozóicos, foram encontradas idades de cristalização de 630 a 597 Ma, com valores de εHf variando de-14,6 e -6,7 e TDM de 2,22 e 1,78 Ga, sugerindo fontes crustais. Estes resultados permitem sugerir a formação do embasamento Paleoproterozoico originadas em ambiente de arco magmático durante o riaciano-orosiriano (2200-2075 Ma). Estas rochas foram intrudidas por um magmatismo edicariano (630-597 Ma). O terceiro evento identificado nas idades U-Pb das rochas estudadas é caracterizado pelo metamorfismo e anatexia (600-570 Ma) durante a colisão e formação do Gondwana.
 
From colorectal cancer pattern to the characterization of individuals at risk: Picture for genetic research in Latin America
Colorectal cancer (CRC) is one of the most common cancers in Latin America and the Caribbean, with the highest rates reported for Uruguay, Brazil and Argentina. We provide a global snapshot of the CRC patterns, how screening is performed, and compared/contrasted to the genetic profile of Lynch syndrome (LS) in the region. From the literature, we find that only nine (20%) of the Latin America and the Caribbean countries have developed guidelines for early detection of CRC, and also with a low adherence. We describe a genetic profile of LS, including a total of 2,685 suspected families, where confirmed LS ranged from 8% in Uruguay and Argentina to 60% in Peru. Among confirmed LS, path_MLH1 variants were most commonly identified in Peru (82%), Mexico (80%), Chile (60%), and path_MSH2/EPCAM variants were most frequently identified in Colombia (80%) and Argentina (47%). Path_MSH6 and path_PMS2 variants were less common, but they showed important presence in Brazil (15%) and Chile (10%), respectively. Important differences exist at identifying LS families in Latin American countries, where the spectrum of path_MLH1 and path_MSH2 variants are those most frequently identified. Our findings have an impact on the evaluation of the patients and their relatives at risk for LS, derived from the gene affected. Although the awareness of hereditary cancer and genetic testing has improved in the last decade, it is remains deficient, with 39%–80% of the families not being identified for LS among those who actually met both the clinical criteria for LS and showed MMR deficiency.Fil: Vaccaro, Carlos Alberto. Hospital Italiano; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: López Kostner, Francisco. No especifíca;Fil: Adriana, Della Valle. Hospital Fuerzas Armadas; UruguayFil: Inez Palmero, Edenir. Hospital de cáncer de Barretos, FACISB; BrasilFil: Rossi, Benedito Mauro. Hospital Sirio Libanes; BrasilFil: Antelo, Marina. Gobierno de la Ciudad de Buenos Aires. Hospital de Gastroenterología "Dr. Carlos B. Udaondo"; Argentina. Universidad Nacional de Lanús; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Solano, Angela Rosario. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Investigaciones Biomédicas. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones Biomédicas; ArgentinaFil: Carraro, Dirce Maria. No especifíca;Fil: Forones, Nora Manoukian. Universidade Federal de Sao Paulo; BrasilFil: Bohorquez, Mabel. Universidad del Tolima; ColombiaFil: Lino Silva, Leonardo S.. Instituto Nacional de Cancerologia; MéxicoFil: Buleje, Jose. Universidad de San Martín de Porres; PerúFil: Spirandelli, Florencia. No especifíca;Fil: Abe Sandes, Kiyoko. Universidade Federal da Bahia; BrasilFil: Nascimento, Ivana. No especifíca;Fil: Sullcahuaman, Yasser. Universidad Peruana de Ciencias Aplicadas; Perú. Instituto de Investigación Genomica; PerúFil: Sarroca, Carlos. Hospital Fuerzas Armadas; UruguayFil: Gonzalez, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; ArgentinaFil: Herrando, Alberto Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; ArgentinaFil: Alvarez, Karin. No especifíca;Fil: Neffa, Florencia. Hospital Fuerzas Armadas; UruguayFil: Galvão, Henrique Camposreis. Barretos Cancer Hospital; BrasilFil: Esperon, Patricia. Hospital Fuerzas Armadas; UruguayFil: Golubicki, Mariano. Gobierno de la Ciudad de Buenos Aires. Hospital de Gastroenterología "Dr. Carlos B. Udaondo"; ArgentinaFil: Cisterna, Daniel. Gobierno de la Ciudad de Buenos Aires. Hospital de Gastroenterología "Dr. Carlos B. Udaondo"; ArgentinaFil: Cardoso, Florencia C.. Centro de Educación Medica E Invest.clinicas; ArgentinaFil: Tardin Torrezan, Giovana. No especifíca;Fil: Aguiar Junior, Samuel. No especifíca;Fil: Aparecida Marques Pimenta, Célia. Universidade Federal de Sao Paulo; BrasilFil: Nirvana da Cruz Formiga, María. No especifíca;Fil: Santos, Erika. Hospital Sirio Libanes; BrasilFil: Sá, Caroline U.. Hospital Sirio Libanes; BrasilFil: Oliveira, Edite P.. Hospital Sirio Libanes; BrasilFil: Fujita, Ricardo. Universidad de San Martín de Porres; PerúFil: Spirandelli, Enrique. No especifíca;Fil: Jimenez, Geiner. No especifíca;Fil: Santa Cruz Guindalini, Rodrigo. Universidade de Sao Paulo; BrasilFil: Gondim Meira Velame de Azevedo, Renata. No especifíca;Fil: Souza Mario Bueno, Larissa. Universidade Federal da Bahia; BrasilFil: dos Santos Nogueira, Sonia Tereza. No especifíca;Fil: Piñero, Tamara Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Medicina Traslacional e Ingeniería Biomédica - Hospital Italiano. Instituto de Medicina Traslacional e Ingeniería Biomédica.- Instituto Universitario Hospital Italiano de Buenos Aires. Instituto de Medicina Traslacional e Ingeniería Biomédica; Argentin
Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants
Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks
Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults
Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We
estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from
1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories.
Methods We used data from 3663 population-based studies with 222 million participants that measured height and
weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate
trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children
and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the
individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For schoolaged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference)
and obesity (BMI >2 SD above the median).
Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in
11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed
changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and
140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of
underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and
countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior
probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse
was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of
thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a
posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%)
with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and
obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for
both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such
as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged
children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls
in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and
42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents,
the increases in double burden were driven by increases in obesity, and decreases in double burden by declining
underweight or thinness.
Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an
increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy
nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of
underweight while curbing and reversing the increase in obesit
ATLANTIC-PRIMATES: a dataset of communities and occurrences of primates in the Atlantic Forests of South America
Primates play an important role in ecosystem functioning and offer critical insights into human evolution, biology, behavior, and emerging infectious diseases. There are 26 primate species in the Atlantic Forests of South America, 19 of them endemic. We compiled a dataset of 5,472 georeferenced locations of 26 native and 1 introduced primate species, as hybrids in the genera Callithrix and Alouatta. The dataset includes 700 primate communities, 8,121 single species occurrences and 714 estimates of primate population sizes, covering most natural forest types of the tropical and subtropical Atlantic Forest of Brazil, Paraguay and Argentina and some other biomes. On average, primate communities of the Atlantic Forest harbor 2 ± 1 species (range = 1–6). However, about 40% of primate communities contain only one species. Alouatta guariba (N = 2,188 records) and Sapajus nigritus (N = 1,127) were the species with the most records. Callicebus barbarabrownae (N = 35), Leontopithecus caissara (N = 38), and Sapajus libidinosus (N = 41) were the species with the least records. Recorded primate densities varied from 0.004 individuals/km 2 (Alouatta guariba at Fragmento do Bugre, Paraná, Brazil) to 400 individuals/km 2 (Alouatta caraya in Santiago, Rio Grande do Sul, Brazil). Our dataset reflects disparity between the numerous primate census conducted in the Atlantic Forest, in contrast to the scarcity of estimates of population sizes and densities. With these data, researchers can develop different macroecological and regional level studies, focusing on communities, populations, species co-occurrence and distribution patterns. Moreover, the data can also be used to assess the consequences of fragmentation, defaunation, and disease outbreaks on different ecological processes, such as trophic cascades, species invasion or extinction, and community dynamics. There are no copyright restrictions. Please cite this Data Paper when the data are used in publications. We also request that researchers and teachers inform us of how they are using the data. © 2018 by the The Authors. Ecology © 2018 The Ecological Society of Americ