Columellar reconstruction with chondrocutaneous graft after injury caused by CPAP

Introduction: Continuous positive pressure in the nasal airways (CPAP) is a non-invasive form of ventilation used in premature newborns in intensive care units. However, it can affect the nose of these patients, even evolving with ischemia and columellar necrosis. Several techniques are described to reconstruct the columella, such as skin grafts, composite grafts, local flaps, and free flaps, but the atrial chondrocutaneous graft has stood out. This study aims to describe a case of columella necrosis using CPAP with reconstruction using posterior atrial chondrocutaneous grafting. Case Report: A brown, female patient, with a history of prematurity and prolonged use of CPAP when she was born due to hyaline membrane syndrome, developed columella necrosis. The patient underwent posterior auricular chondrocutaneous grafting to reconstruct the columella. She presented a satisfactory surgical result, evolving with 100% graft vitality. Discussion: Columellar necrosis associated with the use of CPAP can be aesthetically and functionally debilitating, and represents a reconstructive challenge. The options for obtaining acceptable results are limited. However, the use of ear grafts is technically straightforward, uses structurally similar donor tissues, does not cause additional scarring on the nose, is performed in a surgical period, and generally has an excellent result. Posterior auricular composite grafting for columellar reconstruction proved safe, with satisfactory aesthetic and functional results and minimal morbidity in the donor area

Multi-parameter approach to evaluate the timing of memory status after 17DD-YF primary vaccination

Submitted by Priscila Nascimento ([email protected]) on 2018-06-20T18:10:46Z No. of bitstreams: 1 Multi-parameter_approach_to_evaluate_the_timing_of.pdf: 8388797 bytes, checksum: 234fb0f5fbecbf0d6e239427b5c7095d (MD5)Approved for entry into archive by Priscila Nascimento ([email protected]) on 2018-06-20T18:52:14Z (GMT) No. of bitstreams: 1 Multi-parameter_approach_to_evaluate_the_timing_of.pdf: 8388797 bytes, checksum: 234fb0f5fbecbf0d6e239427b5c7095d (MD5)Made available in DSpace on 2018-06-20T18:52:14Z (GMT). No. of bitstreams: 1 Multi-parameter_approach_to_evaluate_the_timing_of.pdf: 8388797 bytes, checksum: 234fb0f5fbecbf0d6e239427b5c7095d (MD5) Previous issue date: 2018Fundação Oswaldo Cruz. Centro de Pesquisas René Rachou.Belo Horizonte, Minas Gerais, Brasil.Governo do Estado de Minas Gerais. Secretaria de Estado de Saúde. Belo Horizonte, Minas Gerais, Brasil.Universidade Federal de Alfenas. Alfenas, Minas Gerais, Brasil.Universidade Federal de Uberlândia. Laboratório de Bioinformática e Análises Moleculares. Uberlândia, Minas Gerais, Brasil.Food and Drug Administration. Center for Biologics Evaluation and Research. Silver Spring, Maryland, United States of America.Instituto de Biologia do Exército. Rio de Janeiro, Rio de Janeiro, Brasil.Fundação Oswaldo Cruz. Instituto de Tecnologia em Imunobiológicos. Rio de Janeiro, RJ, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Brasília, DF, Brasil.Universidade de Brasília. Brasília, DF, Brasil.Instituto Evandro Chagas. Ananindeua, Pará, Brasil.Fundação Oswaldo Cruz. Diretoria Regional de Brasília. Brasília, DF, Brasil.Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.Nesta investigação, as técnicas melhoradas por máquina foram aplicadas para trazer insights científicos para identificar um conjunto mínimo de biomarcadores relacionados à memória fenotípica / funcional para o acompanhamento pós-vacinação da vacinação contra a febre amarela (FA). Para este propósito, o estado de memória das células T circulantes (Naïve / efetor-precoce / Memória-Central / Memória Efetiva) e células B (Naïve / memória não clássica / memória clássica) juntamente com o perfil de citocinas (IFN / TNF / IL-5 / IL-10) foram monitorizados antes do NV (dia 0) e em pontos de tempo distintos após a vacinação primária com 17DD-YF - VP (dia30-45); PV (ano1-9) e PV (ano10-11). Um conjunto de biomarcadores (eEfCD4; EMCD4; CMCD19; EMCD8; IFNCD4; IL-5CD8; TNFCD4; IFNCD8; TNFCD8; IL-5CD19; IL-5CD4) foi observado em PV (dia30-45), mas não em NV (dia0) , com a maioria deles ainda observada em VP (ano1-9). Deficiências de biomarcadores fenotípicos / funcionais foram observadas em NV (dia 0), enquanto a falta total de atributos relacionados à memória foi observada na PV (ano10-11), independentemente da idade na vacinação primária. Análise de diagrama de Venn pré-selecionada 10 atributos (eEfCD4, EMCD4, CMCD19, EMCD8, IFNCD4, IL-5CD8, TNFCD4, IFNCD8, TNFCD8 e IL-5CD4), dos quais a média geral apresentou moderada precisão para discriminar PV (dia30-45) e PV (year1-9) de NV (day0) e PV (year10-11). Abordagens multi-parâmetro e algoritmos de árvore de decisão definiram os atributos EMCD8 e IL-5CD4 como os dois principais preditores com desempenho moderado. Juntamente com os títulos PRNT, os dois principais biomarcadores levaram a um status de memória resultante observado em 80% e 51% dos voluntários em PV (dia30-45) e PV (ano1-9), contrastando com 0% e 29% encontrados em NV ( day0) e PV (year10-11), respectivamente. A deficiência de atributos relacionados à memória observada na PV (year10-11) ressalta a diminuição conspícua dependente do tempo da memória resultante após a vacinação primária com 17DD-YF, que pode ser útil para monitorar potenciais correlatos de proteção em áreas sob risco de transmissão da FA.In this investigation, machine-enhanced techniques were applied to bring about scientific insights to identify a minimum set of phenotypic/functional memory-related biomarkers for post-vaccination follow-up upon yellow fever (YF) vaccination. For this purpose, memory status of circulating T-cells (Naïve/early-effector/Central-Memory/Effector-Memory) and Bcells (Naïve/non-Classical-Memory/Classical-Memory) along with the cytokine profile (IFN/ TNF/IL-5/IL-10) were monitored before-NV(day0) and at distinct time-points after 17DD-YF primary vaccinationÐPV(day30-45); PV(year1-9) and PV(year10-11). A set of biomarkers (eEfCD4; EMCD4; CMCD19; EMCD8; IFNCD4; IL-5CD8; TNFCD4; IFNCD8; TNFCD8; IL-5CD19; IL-5CD4) were observed in PV(day30-45), but not in NV(day0), with most of them still observed in PV(year1-9). Deficiencies of phenotypic/functional biomarkers were observed in NV(day0), while total lack of memory-related attributes was observed in PV (year10-11), regardless of the age at primary vaccination. Venn-diagram analysis preselected 10 attributes (eEfCD4, EMCD4, CMCD19, EMCD8, IFNCD4, IL-5CD8, TNFCD4, IFNCD8, TNFCD8 and IL-5CD4), of which the overall mean presented moderate accuracy to discriminate PV(day30-45)&PV(year1-9) from NV(day0)&PV(year10-11). Multi-parameter approaches and decision-tree algorithms defined the EMCD8 and IL-5CD4 attributes as the top-two predictors with moderated performance. Together with the PRNT titers, the toptwo biomarkers led to a resultant memory status observed in 80% and 51% of volunteers in PV(day30-45) and PV(year1-9), contrasting with 0% and 29% found in NV(day0) and PV (year10-11), respectively. The deficiency of memory-related attributes observed at PV (year10-11) underscores the conspicuous time-dependent decrease of resultant memory following17DD-YF primary vaccination that could be useful to monitor potential correlates of protection in areas under risk of YF transmission

Multi-parameter approach to evaluate the timing of memory status after 17DD-YF primary vaccination

<div><p>In this investigation, machine-enhanced techniques were applied to bring about scientific insights to identify a minimum set of phenotypic/functional memory-related biomarkers for post-vaccination follow-up upon yellow fever (YF) vaccination. For this purpose, memory status of circulating T-cells (Naïve/early-effector/Central-Memory/Effector-Memory) and B-cells (Naïve/non-Classical-Memory/Classical-Memory) along with the cytokine profile (IFN/TNF/IL-5/IL-10) were monitored before-NV(day0) and at distinct time-points after 17DD-YF primary vaccination—PV(day30-45); PV(year1-9) and PV(year10-11). A set of biomarkers (eEfCD4; EMCD4; CMCD19; EMCD8; IFNCD4; IL-5CD8; TNFCD4; IFNCD8; TNFCD8; IL-5CD19; IL-5CD4) were observed in PV(day30-45), but not in NV(day0), with most of them still observed in PV(year1-9). Deficiencies of phenotypic/functional biomarkers were observed in NV(day0), while total lack of memory-related attributes was observed in PV(year10-11), regardless of the age at primary vaccination. Venn-diagram analysis pre-selected 10 attributes (eEfCD4, EMCD4, CMCD19, EMCD8, IFNCD4, IL-5CD8, TNFCD4, IFNCD8, TNFCD8 and IL-5CD4), of which the overall mean presented moderate accuracy to discriminate PV(day30-45)&PV(year1-9) from NV(day0)&PV(year10-11). Multi-parameter approaches and decision-tree algorithms defined the EMCD8 and IL-5CD4 attributes as the top-two predictors with moderated performance. Together with the PRNT titers, the top-two biomarkers led to a resultant memory status observed in 80% and 51% of volunteers in PV(day30-45) and PV(year1-9), contrasting with 0% and 29% found in NV(day0) and PV(year10-11), respectively. The deficiency of memory-related attributes observed at PV(year10-11) underscores the conspicuous time-dependent decrease of resultant memory following17DD-YF primary vaccination that could be useful to monitor potential correlates of protection in areas under risk of YF transmission.</p></div

Changes in neutralizing antibody titers and phenotypic/functional memory-related biomarkers at distinct time-points after primary 17DD-YF vaccination.

<p>Correlation analyses were performed to validate the time-dependent decline in (A) neutralizing antibody titers and 17DD-YF Memory-related (B) phenotypic and (C) functional features. Data are expressed as scattering distribution of individual values along distinct time-points after 17DD-YF primary vaccination against neutralizing antibody titers (PRNT) as well as phenotypic and functional features (YF-Ag/CC Index). Spearman’s correlation test was applied to identify significant time-dependent loss of memory-related biomarkers. Correlation indices (p and r) along with the 95% confidence band of the best-fit line are provided in the figure. Attributes with higher correlation indices (r values) are highlighted with gray background.</p

Overall 17DD-YF memory-related biomarker signatures at distinct time-points after primary vaccination.

<p>The phenotypic/functional biomarker signatures were built taking the proportion of subjects above the cut-off edges defined for each attribute, calculated as the median index value (17DD-YF/Control) for the study population. Diagrams were constructed for all study groups to calculate the proportion (%) of volunteers above the median cut-off indices for each biomarker (gray-shaded spots). (A) The PV(day30-45) group was used to construct the memory-related phenotypic and functional biomarker signatures and draw the reference curves, used for comparative analysis amongst the study groups, (B) NV(day0), (C) PV(year1-9) and (D) PV(year10-11). Hatched cells represent unavailable results. Data mining was carried out as proposed previously by Luiza-Silva et al., (2011), selecting from the PV(day30-45) reference curves, those biomarkers with more than 50% of volunteers above the cut-off index (surrounded by dashed rectangles). Comparative analysis amongst the study groups were carried out considering only the selected set of relevant biomarkers from the phenotypic and functional reference curves. Substantial change in the set of relevant biomarkers were highlighted by (*) when the proportion of subjects above the cut-off fell below 50%. The common set of relevant biomarkers on each study group was underscored in bold font.</p

17DD-YF memory-related biomarker signatures according to the age at primary vaccination.

<p>The memory-related biomarker signatures were constructed using the proportion of subjects above the cut-off edges defined for each attribute, calculated as the median index value (17DD-YF/Control) for the study population. The signatures were constructed for phenotypic/functional biomarkers, compiling the proportion (%) of volunteer above the median cut-off indices. The memory-related biomarker signatures, constructed for the PV(day30-45) group, were used as the reference curves for comparative analysis amongst the PV(year10-11) subgroups, categorized according to the age at primary vaccination, including (A) 20–30 years old, (B) 31–40 years old and (C) 41–74 years old. Comparative analysis were carried out considering only the set of relevant biomarkers pre-selected from the phenotypic/functional reference curves (surrounded by dashed rectangles), including those biomarkers with more than 50% of volunteers above the cut-off index in the PV(day30-45) reference curves (surrounded by dashed rectangles). Substantial changes in the set of relevant biomarkers were underscored by (*) when the proportion of subjects above the cut-off fell below 50%. The common set of relevant biomarkers on each study group was underscored in bold font.</p

Major phenotypic/functional biomarkers useful to monitor the memory status following primary 17DD-YF vaccination.

<p>(A) Decision tree analysis was carried out to identify root attributes [Ellipses] for phenotypic/functional (P&F) biomarkers amongst NV(day0)&PV(year10-11) [white rectangle] and PV(day30-45)&PV(year1-9) [black rectangle], considered biomarkers to discriminate unprotected from protected subjects. Leave-one-out-cross-validation analysis (LOOCV) was employed to minimize biased performance estimates by using all data set for decision tree model fitting. EMCD8 and IL-5CD4 were selected as major phenotypic and functional 17DD-YF Memory-related biomarkers, respectively. (B) Heatmaps were built, taking the mean index of the top-two phenotypic/functional biomarkers (EMCD8 & IL-5CD4) and demonstrating the proportion (%) of volunteers ranging from low (White) to high (Gray) YF-Ag/CC index. A scatter plot was constructed to show the sensitivity (Gray Circle) and specificity (White Circle) of the top-two biomarkers, employing the cut-off edge (Mean Index = 1.3) provided by the ROC curve analysis. (C) Resultant memory status was defined for each subject, considering the top-two biomarkers (Mean Index >1.3) and PRNT (>2.9 Log mIU/mL, according to Simões et al., 2012). Column statistics were used to calculate the proportion of subjects displaying differing categories of resultant memory, referred as none, top-two biomarkers—P&F, PRNT and both. (D) Pie charts illustrated the overall resultant memory status within each category, as determined by the top-two biomarkers and PRNT. Significant differences at p<0.05 (Chi-square test) of resultant memory status amongst study groups were represented by letters “a”, b”, “c” and “d” in comparison to NV(day0), PV(day30-45), PV(year1-9) and PV(year10-11), respectively.</p

ATLANTIC BIRD TRAITS: a data set of bird morphological traits from the Atlantic forests of South America

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

ATLANTIC BIRD TRAITS

Scientists have long been trying to understand why the Neotropical region holds the highest diversity of birds on Earth. Recently, there has been increased interest in morphological variation between and within species, and in how climate, topography, and anthropogenic pressures may explain and affect phenotypic variation. Because morphological data are not always available for many species at the local or regional scale, we are limited in our understanding of intra- and interspecies spatial morphological variation. Here, we present the ATLANTIC BIRD TRAITS, a data set that includes measurements of up to 44 morphological traits in 67,197 bird records from 2,790 populations distributed throughout the Atlantic forests of South America. This data set comprises information, compiled over two centuries (1820–2018), for 711 bird species, which represent 80% of all known bird diversity in the Atlantic Forest. Among the most commonly reported traits are sex (n = 65,717), age (n = 63,852), body mass (n = 58,768), flight molt presence (n = 44,941), molt presence (n = 44,847), body molt presence (n = 44,606), tail length (n = 43,005), reproductive stage (n = 42,588), bill length (n = 37,409), body length (n = 28,394), right wing length (n = 21,950), tarsus length (n = 20,342), and wing length (n = 18,071). The most frequently recorded species are Chiroxiphia caudata (n = 1,837), Turdus albicollis (n = 1,658), Trichothraupis melanops (n = 1,468), Turdus leucomelas (n = 1,436), and Basileuterus culicivorus (n = 1,384). The species recorded in the greatest number of sampling localities are Basileuterus culicivorus (n = 243), Trichothraupis melanops (n = 242), Chiroxiphia caudata (n = 210), Platyrinchus mystaceus (n = 208), and Turdus rufiventris (n = 191). ATLANTIC BIRD TRAITS (ABT) is the most comprehensive data set on measurements of bird morphological traits found in a biodiversity hotspot; it provides data for basic and applied research at multiple scales, from individual to community, and from the local to the macroecological perspectives. No copyright or proprietary restrictions are associated with the use of this data set. Please cite this data paper when the data are used in publications or teaching and educational activities. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

Núcleos de Ensino da Unesp: artigos 2008

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq