Serum soluble-Fas is a predictor of red blood cell transfusion in critically ill patients

OBJECTIVE: To investigate the relation between the need for red blood cell transfusion and serum levels of soluble-Fas, erythropoietin and inflammatory cytokines in critically ill patients with and without acute kidney injury. METHODS: We studied critically ill patients with acute kidney injury (n=30) and without acute kidney injury (n=13), end-stage renal disease patients on hemodialysis (n=25) and healthy subjects (n=21). Serum levels of soluble-Fas, erythropoietin, interleukin 6, interleukin 10, iron status, hemoglobin and hematocrit concentration were analyzed in all groups. The association between these variables in critically ill patients was investigated. RESULTS: Critically ill patients (acute kidney injury and non-acute kidney injury patients) had higher serum levels of erythropoietin than the other groups. Hemoglobin concentration was lower in the acute kidney injury patients than in other groups. Serum soluble-Fas levels were higher in acute kidney injury and end-stage renal disease patients. Critically ill patients requiring red blood cell transfusions had higher serum levels of soluble-Fas (5,906±2,047 and 1,920±1,060; p<0.001), interleukin 6 (518±537 and 255+502; p=0.02) and interleukin 10 (35.8±30.7 and 18.5±10.9; p=0.02), better iron status and higher mortality rates in the first 28 days in intensive care unit. Serum soluble-Fas levels were independently associated with the number of red blood cell units transfused (p=0.02). Serum soluble-Fas behaved as an independent predictor of the need for red blood cell transfusion in critically ill patients (p=0.01). CONCLUSIONS: Serum soluble-Fas level is an independent predictor of the need for red blood cell transfusion in critically ill patients with or without acute kidney injury. Further studies are warranted to reconfirm this finding.OBJETIVO: Investigar a relação entre a transfusão de hemácias e os níveis séricos de Fas solúvel, eritropoietina e citocinas inflamatórias em pacientes gravemente enfermos, com e sem insuficiência renal aguda. MÉTODOS: Os seguintes grupos foram estudados: pacientes gravemente enfermos com insuficiência renal aguda (n=30) e sem insuficiência renal aguda (n=13), pacientes portadores de doença renal crônica terminal em hemodiálise (n=25) e indivíduos saudáveis (n=21). Os níveis séricos de Fas solúvel, eritropoietina, interleucina 6, interleucina 10 e ferro, além da concentração de hemoglobina e de hematócrito, foram analisados em todos os grupos. A associação entre tais variáveis foram estudadas nos pacientes gravemente enfermos. RESULTADOS: Os níveis séricos de eritropoietina mostraram-se mais elevados nos pacientes gravemente enfermos do que nos dos demais grupos. Concentrações mais baixas de hemoglobina foram documentadas nos pacientes com insuficiência renal aguda em relação aos demais. Níveis séricos mais elevados de Fas solúvel foram observados nos pacientes com insuficiência renal aguda e doença renal crônica terminal. Pacientes gravemente enfermos transfundidos apresentaram níveis séricos mais elevados de Fas solúvel (5.906±2.047 e 1.920±1.060; p<0,001), interleucina 6 (518±537 e 255±502; p=0,02), interleucina 10 (35,8±30,7 e 18,5±10,9; p=0,02) e ferro, além de maior mortalidade em 28 dias. Os níveis séricos de Fas solúvel mostraram-se independentemente associados ao número de transfusões (p=0,02). O nível sérico de Fas solúvel foi um preditor independente da necessidade de transfusão de hemácias em pacientes gravemente enfermos (p=0,01). CONCLUSÃO: O nível sérico de Fas solúvel é um preditor independente da necessidade de transfusão de hemácias em pacientes gravemente enfermos, com ou sem insuficiência renal aguda. Mais estudos clínicos e laboratoriais são necessários para confirmar tal resultado.Universidade Federal de São Paulo (UNIFESP)Hospital Israelita Albert EinsteinUNIFESPSciEL

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

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 24 domestic dogs, these species have been threatened locally, regionally, or even across their full distribution ranges. The Neotropics harbor 21 species of armadillos, ten anteaters, and six sloths. Our dataset 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 south of the USA, Mexico, and Caribbean countries at the northern portion of the Neotropics, to its austral distribution in Argentina, Paraguay, Chile, and Uruguay. Regarding anteaters, Myrmecophaga tridactyla has the most records (n=5,941), and Cyclopes sp. has the fewest (n=240). The armadillo species with the most data is Dasypus novemcinctus (n=11,588), and the least recorded for Calyptophractus retusus (n=33). With regards 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 datasets of Neotropical Series which 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 dataset

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

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities 1,2 . This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity 3�6 . Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55 of the global rise in mean BMI from 1985 to 2017�and more than 80 in some low- and middle-income regions�was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing�and in some countries reversal�of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories. © 2019, The Author(s)

Habilitation et optimisation des systèmes cell-free pour les applications de biologie synthétique

L'objectif de cette thèse est de couvrir trois facettes de la recherche sur les technologies cell-free, à savoir : i. l'utilisation de la technologie cell-free à des fins d'ingénierie métabolique, ii. les procédés de stabilisation d'ADN linéaire dans un environnement cell-free et iii. l'optimisation de l'expression des protéines dans les systèmes cell-free. La section I présente la tentative de biosynthèse de deux métabolites végétaux d'intérêt industriel, la Pinocembrine et le Sinapoyl-Malate. Pour évaluer le prototypage de l'ingénierie des voies, la quantification de ces molécules pourrait être vérifiée par biodétection. Dans cette thèse, une Pinocembrine validée en laboratoire in vivo a été testée ainsi que 3 nouveaux biocapteurs différents pour le Sinapoyl-Malate. Dans la section II, l'utilisation de l'ADN linéaire pourrait potentiellement accélérer le prototypage des nouvelles constructions génétiques, indépendamment des étapes de clonage. Pour cela 2 stratégies ont été mises en place pour stabiliser l'ADN : à partir de la circularisation in vitro de l'ADN linéaire en dumbbell-DNA ou en concatémères circulaires.De plus, des souches d'E. coli ont été génétiquement modifiées pour créer lysats des mutants d'exonucléase d'ADN linéaire, ∆recB et ∆recBCD . Une fois que le tampon a été caractérisé individuellement pour le type d'ADN, l'ADN linéaire montre une expression comparable à l'ADN plasmidique. La section III aborde l'optimisation de la synthèse des protéines en utilisant des séquences de ribozymes pour circulariser et par conséquent prolonger le turnover des produits de mARN. Une fois que le mARN circulaire est plus résistant aux nucléases, l'expression des protéines est augmentée. De plus, la composition du tampon d'expression en cell-free a été méticuleusement améliorée pour le rendement global en protéines grâce à une approche d'Active Learning. Cette amélioration a conduit à une réduction considérable des variations de type batch-to-batch. Globalement, cette thèse démontre l'ingéniosité de l'amélioration des systèmes cell-free et ses différentes applications potentielles en biologie synthétique.The aim of the thesis covers three facets of cell-free technology research, i. the use of the cell-free technology for metabolic engineering purposes, ii. methods for stabilizing linear DNA in a cell-free environment and iii. the optimization of protein expression in cell-free systems. The section I showcases the attempt of biosynthesis of two plant metabolites Pinocembrin and Sinapoyl-Malate with industrial interest. To assess the pathway engineering implementation in a high-throughput cycle, the quantification of these molecules could be verified by biosensing. In the thesis, a lab in vivo validated Pinocembrin was tested as well as 3 different new biosensors for Sinapoyl-Malate. In section II, the use of linear DNA could potentially speed-up allowing a rapid screening of genetic constructs regardless of cloning steps. For that 2 strategies were implemented to stabilize DNA by circularizing linear DNA intodbDNA or circular concatemers. In addition, E. coli strains were genetically modified for creating exonuclease mutants ∆recB and ∆recBCD lysates. Once, buffer is individually characterized for DNA type, linear DNA shows comparable expression to plasmid DNA. Section III approaches the optimization of protein synthesis by using ribozyme sequences to circularize and consequently prolong mRNA products turnover. Once mRNA is more resistant to nucleases, protein expression is augmented. Additionally, buffer composition was meticulously improved for overall protein yield with an Active Machine Learning approach. This improvement led to a considerable reduction of batch-to-batch variations. Overall, the thesis demonstrates the contrivance of improving cell-free systems and its different potential applications in synthetic biology

Custom-made transcriptional biosensors for metabolic engineering.

International audienceTranscriptional biosensors allow screening, selection, or dynamic regulation of metabolic pathways, and are, therefore, an enabling technology for faster prototyping of metabolic engineering and sustainable chemistry. Recent advances have been made, allowing for routine use of heterologous transcription factors, and new strategies such as chimeric protein design allow engineers to tap into the reservoir of metabolite-binding proteins. However, extending the sensing scope of biosensors is only the first step, and computational models can help in fine-tuning properties of biosensors for custom-made behavior. Moreover, metabolic engineering is bound to benefit from advances in cell-free expression systems, either for faster prototyping of biosensors or for whole-pathway optimization, making it both a means and an end in biosensor design