Role of cytokines in the immunopathogenesis of Graft-versus-Host Disease

Stem cell transplantation is the first line treatment of many hematological diseases and primary immunodeficiencies. Graft-versus-host disease (GVHD) is still a severe complication after allogeneic transplantation and the main cause of mortality and morbidity. The study of the pathogenesis of GVHD may help to develop ways to prevent the disease, as well as to choose adequate immunosuppressant therapies. This study discusses the main immunological components involved in the pathogenesis of acute and chronic GVHD, with emphasis on the participation of cytokines and their control.O transplante de células progenitoras hematopoéticas é o tratamento de escolha para muitas doenças hematológicas e imunodeficiências primárias. A doença do enxerto contra o hospedeiro (DECH) é ainda uma grave complicação após o transplante alogênico e a principal causa de mortalidade e morbidade. O estudo da patogênese da DECH auxilia no desenvolvimento de medidas preventivas da doença, assim como na escolha de terapias imunossupressoras adequadas de tratamento. Este estudo discute os principais componentes imunológicos envolvidos na patogênese da DECH aguda e crônica, com ênfase à participação das citocinas e seu controle.14215

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

Papel das citocinas na imunopatogênese da doença do enxerto contra o hospedeiro Role of cytokines in the immunopathogenesis of Graft-versus-Host Disease

O transplante de células progenitoras hematopoéticas é o tratamento de escolha para muitas doenças hematológicas e imunodeficiências primárias. A doença do enxerto contra o hospedeiro (DECH) é ainda uma grave complicação após o transplante alogênico e a principal causa de mortalidade e morbidade. O estudo da patogênese da DECH auxilia no desenvolvimento de medidas preventivas da doença, assim como na escolha de terapias imunossupressoras adequadas de tratamento. Este estudo discute os principais componentes imunológicos envolvidos na patogênese da DECH aguda e crônica, com ênfase à participação das citocinas e seu controle.Stem cell transplantation is the first line treatment of many hematological diseases and primary immunodeficiencies. Graft-versus-host disease (GVHD) is still a severe complication after allogeneic transplantation and the main cause of mortality and morbidity. The study of the pathogenesis of GVHD may help to develop ways to prevent the disease, as well as to choose adequate immunosuppressant therapies. This study discusses the main immunological components involved in the pathogenesis of acute and chronic GVHD, with emphasis on the participation of cytokines and their control