Um acervo, uma coleção e três problemas: a Coleção Jacques Pilon da Biblioteca da FAUUSP

Este artigo examina a constituição do Acervo de Projetos de arquitetura da Biblioteca da Faculdade de Arquitetura e Urbanismo da Universidade de São Paulo (FAUUSP), o tratamento da Coleção Jacques Pilon e os rendimentos do projeto de arquitetura como fonte documental a partir de três questões interligadas: a constituição do campo arquitetônico no Brasil; a história de São Paulo e sua arquitetura; e a contribuição dos arquitetos estrangeiros para a construção da cidade entre 1930 e 1960. A partir da abordagem de novas e velhas fontes de pesquisa, procura-se articular a história da arquitetura com outros campos do conhecimento nem sempre a ela relacionados, mas que juntos podem contribuir para uma leitura mais complexa da produção arquitetônica e para os esforços de revisão da historiografia da arquitetura moderna no Brasil.This article examines the establishment of the Archive of Projects of the Library of the Faculty of Architecture and Urbanism of the University of Sao Paulo (FAUUSP), the treatment of the Collection Jacques Pilon and the architectural design as a documentary source from three interconnected issues: the constitution of the architectural field in Brazil; the history of São Paulo and its architecture and the contribution of foreign architects to build the city between the years 1930 and 1960. From the approach of new and old sources of research, this article seeks to articulate the History of Architecture with other fields of knowledge not always related to it, but that together it can contribute to a more complex reading of architectural production and to efforts of reviewing the historiography of modern architecture in Brazil

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

17DD and 17D-213/77 yellow fever substrains trigger a balanced cytokine profile in primary vaccinated children

Submitted by Nuzia Santos ([email protected]) on 2014-03-07T13:46:37Z No. of bitstreams: 1 17DD.pdf: 2852641 bytes, checksum: e43b3e257ffaa87a20d7866b9fdc814d (MD5)Made available in DSpace on 2014-03-07T13:46:37Z (GMT). No. of bitstreams: 1 17DD.pdf: 2852641 bytes, checksum: e43b3e257ffaa87a20d7866b9fdc814d (MD5) Previous issue date: 2013Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilUniversidade Federal de Ouro Preto. Núcleo de Pesquisas em Ciências Biológicas. Ouro Preto, MG, BrasilUniversidade Federal de Ouro Preto. Núcleo de Pesquisas em Ciências Biológicas. Ouro Preto, MG, BrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos, Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos, Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos, Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos, Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos, Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos, Bio-Manguinhos. Rio de Janeiro, RJ, BrasilGoverno do Estado de Minas Gerais. Secretaria de Estado de Saúde. Belo Horizonte, MG, BrasilGoverno do Estado de Minas Gerais. Secretaria de Estado de Saúde. Belo Horizonte, MG, BrasilUniversidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Hospital das Clínicas. Ribeirão Preto, SP, BrasilFundação Oswaldo Cruz. Diretoria Regional de Brasília. Brasília, DF, BrasilUniversidade Federal de Minas Gerais. Faculdade de Medicina. Departamento de Propedêutica Complementar. Belo Horizonte, MG, BrasilBACKGROUND: This study aimed to compare the cytokine-mediated immune response in children submitted to primary vaccination with the YF-17D-213/77 or YF-17DD yellow fever (YF) substrains. METHODS: A non-probabilistic sample of eighty healthy primary vaccinated (PV) children was selected on the basis of their previously known humoral immune response to the YF vaccines. The selected children were categorized according to their YF-neutralizing antibody titers (PRNT) and referred to as seroconverters (PV-PRNT(+)) or nonseroconverters (PV-PRNT(-)). Following revaccination with the YF-17DD, the PV-PRNT(-) children (YF-17D-213/77 and YF-17DD groups) seroconverted and were referred as RV-PRNT(+). The cytokine-mediated immune response was investigated after short-term in vitro cultures of whole blood samples. The results are expressed as frequency of high cytokine producers, taking the global median of the cytokine index (YF-Ag/control) as the cut-off. RESULTS: The YF-17D-213/77 and the YF-17DD substrains triggered a balanced overall inflammatory/regulatory cytokine pattern in PV-PRNT(+), with a slight predominance of IL-12 in YF-17DD vaccinees and a modest prevalence of IL-10 in YF-17D-213/77. Prominent frequency of neutrophil-derived TNF-α and neutrophils and monocyte-producing IL-12 were the major features of PV-PRNT(+) in the YF-17DD, whereas relevant inflammatory response, mediated by IL-12(+)CD8(+) T cells, was the hallmark of the YF-17D-213/77 vaccinees. Both substrains were able to elicit particular but relevant inflammatory events, regardless of the anti-YF PRNT antibody levels. PV-PRNT(-) children belonging to the YF-17DD arm presented gaps in the inflammatory cytokine signature, especially in terms of the innate immunity, whereas in the YF-17D-213/77 arm the most relevant gap was the deficiency of IL-12-producing CD8(+)T cells. Revaccination with YF-17DD prompted a balanced cytokine profile in YF-17DD nonresponders and a robust inflammatory profile in YF-17D-213/77 nonresponders. CONCLUSION: Our findings demonstrated that, just like the YF-17DD reference vaccine, the YF-17D-213/77 seed lot induced a mixed pattern of inflammatory and regulatory cytokines, supporting its universal use for immunization

Cytokine Signatures of Innate and Adaptive Immunity in 17DD Yellow Fever Vaccinated Children and Its Association With the Level of Neutralizing Antibody

Submitted by Nuzia Santos ([email protected]) on 2015-01-08T11:26:26Z No. of bitstreams: 1 Cytokine Signatures of Innate and Adaptive Immunity in 17DD Yellow Fever Vaccinated Children and Its Association With the Level of Neutralizing Antibody.pdf: 966125 bytes, checksum: 28568df442b4339a0d66df8a67105883 (MD5)Approved for entry into archive by Nuzia Santos ([email protected]) on 2015-01-08T11:28:11Z (GMT) No. of bitstreams: 1 Cytokine Signatures of Innate and Adaptive Immunity in 17DD Yellow Fever Vaccinated Children and Its Association With the Level of Neutralizing Antibody.pdf: 966125 bytes, checksum: 28568df442b4339a0d66df8a67105883 (MD5)Approved for entry into archive by Nuzia Santos ([email protected]) on 2015-01-08T11:35:53Z (GMT) No. of bitstreams: 1 Cytokine Signatures of Innate and Adaptive Immunity in 17DD Yellow Fever Vaccinated Children and Its Association With the Level of Neutralizing Antibody.pdf: 966125 bytes, checksum: 28568df442b4339a0d66df8a67105883 (MD5)Made available in DSpace on 2015-01-08T11:35:53Z (GMT). No. of bitstreams: 1 Cytokine Signatures of Innate and Adaptive Immunity in 17DD Yellow Fever Vaccinated Children and Its Association With the Level of Neutralizing Antibody.pdf: 966125 bytes, checksum: 28568df442b4339a0d66df8a67105883 (MD5) Previous issue date: 2011Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilUniversidade Federal de Ouro Preto. Ouro Preto, MG, BrasilFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Bio-Manguinhos. Rio de Janeiro, RJ, BrasilFundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Bio-Manguinhos. Rio de Janeiro, RJ, BrasilSecretaria de Estado de Saúde de Minas Gerais. Belo Horizonte, MG, BrasilSecretaria de Estado de Saúde de Minas Gerais. Belo Horizonte, MG, BrasilUniversidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Hospital das Clínicas. Ribeirão Preto, SP, BrasilUniversidade Federal de Minas Gerais. Faculdade de Medicina. Departamento de Propedêutica Complementar Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilFundação Oswaldo Cruz. Centro de Pesquisas René Rachou. Laboratório de Biomarcadores de Diagnóstico e Monitoração. Belo Horizonte, MG, BrasilBackground. The live attenuated yellow fever (YF) vaccines have been available for decades and are considered highly effective and one of the safest vaccines worldwide. Methods. The impact of YF-17DD-antigens recall on cytokine profiles of YF-17DD-vaccinated children were characterized using short-term cultures of whole blood samples and single-cell flow cytometry. This study enrolled seroconverters and nonseroconverters after primovaccination (PV-PRNT1 and PV-PRNT2), seroconverters after revaccination (RV-PRNT1), and unvaccinated volunteers (UV-PRNT2). Results. The analysis demonstrated in the PV-PRNT1 group a balanced involvement of pro-inflammatory/ regulatory adaptive immunity with a prominent participation of innate immunity pro-inflammatory events (IL-121 and TNF-a1 NEU and MON). Using the PV-PRNT1 cytokine signature as a reference profile, PV-PRNT2 presented a striking lack of innate immunity proinflammatory response along with an increased adaptive regulatory profile (IL-41CD41 T cells and IL-101 and IL-51CD81 T cells). Conversely, the RV-PRNT1 shifted the overall cytokine signatures toward an innate immunity pro-inflammatory profile and restored the adaptive regulatory response. Conclusions. The data demonstrated that the overall cytokine signature was associated with the levels of PRNT antibodies with a balanced innate/adaptive immunity with proinflammatory/regulatory profile as the hallmark of PV-PRNTMEDIUM1, whereas a polarized regulatory response was observed in PV-PRNT2 and a prominent proinflammatory signature was the characteristic of PV-PRNTHIGH1

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International audienc

Flowchart of selection and follow-up of the Study Population from the Primary Target Sample.

<p>A total of 3,060 children, 9–12 months-old were elected for an epidemiological studies reported elsewhere <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0049828#pone.0049828-Collaborative1" target="_blank">[14]</a> and referred as “Primary Target Sample”. The Clinical Trial design is highlighted by dashed format. The study population enrolled in the present investigation was selected from the “Primary Target Sample” according to the PRNT results and comprise 30 PV-PRNT⁺ and 10 PV-PRNT⁻ individuals on each experimental arm (17DD and 17D-213/77), reaching a total of 80 volunteers. The current Immunological Study design is highlighted by solid format.</p

Comparative analysis of the cytokine signatures of innate and adaptive immunity triggered by the YF-17DD and YF-17D-213/77 substrains upon the <i>in vitro</i> recall of whole blood leukocytes from seroconverter children (PV-PRNT⁺) with specific YF-Ag.

<p>The diagrams highlight each leukocyte subsets with distinct tags as they display low (white rectangle) or high (black rectangle = inflammatory, gray rectangle = regulatory) cytokine producers (top panel). The ascendant frequency of volunteers with high cytokine indexes of the innate and adaptive immunity was assembled for each experimental arm and is demonstrated by bar graphs (medium panel). Comparative analysis of the overall cytokine patterns of YF-17DD (lines with black or gray triangles) and YF-17D-213/77 (lines with black or gray squares) vaccinees were further compared by overlapping the ascendant cytokine curves (bottom panel). Dotted lines highlight the 25^th and 50^th percentiles used as reference for comparative analysis. *Differences were considered relevant when the frequency for a given cytokine emerged outside the 50^th percentile as compared to the reference cytokine pattern or signature.</p