TL1A/DR3 axis involvement in the inflammatory cytokine network during pulmonary sarcoidosis

BACKGROUND: TNF-like ligand 1A (TL1A), a recently recognized member of the TNF superfamily, and its death domain receptor 3 (DR3), firstly identified for their relevant role in T lymphocyte homeostasis, are now well-known mediators of several immune-inflammatory diseases, ranging from rheumatoid arthritis to inflammatory bowel diseases to psoriasis, whereas no data are available on their involvement in sarcoidosis, a multisystemic granulomatous disease where a deregulated T helper (Th)1/Th17 response takes place. METHODS: In this study, by flow cytometry, real-time PCR, confocal microscopy and immunohistochemistry analyses, TL1A and DR3 were investigated in the pulmonary cells and the peripheral blood of 43 patients affected by sarcoidosis in different phases of the disease (29 patients with active sarcoidosis, 14 with the inactive form) and in 8 control subjects. RESULTS: Our results demonstrated a significant higher expression, both at protein and mRNA levels, of TL1A and DR3 in pulmonary T cells and alveolar macrophages of patients with active sarcoidosis as compared to patients with the inactive form of the disease and to controls. In patients with sarcoidosis TL1A was strongly more expressed in the lung than the blood, i.e., at the site of the involved organ. Additionally, zymography assays showed that TL1A is able to increase the production of matrix metalloproteinase 9 by sarcoid alveolar macrophages characterized, in patients with the active form of the disease, by reduced mRNA levels of the tissue inhibitor of metalloproteinase (TIMP)-1. CONCLUSIONS: These data suggest that TL1A/DR3 interactions are part of the extended and complex immune-inflammatory network that characterizes sarcoidosis during its active phase and may contribute to the pathogenesis and to the progression of the disease

Programa boas práticas agropecuárias em bovinos de corte na Região Sul do Brasil: situação atual e perspectivas.

O BPA-Gado de Corte na região Sul; O diagnóstico dos estabelecimentos filiados a APROCCIMA: A posição dos estabelecimentos quanto aos itens obrigatórios do BPA, A posição dos estabelecimentos quanto aos itens altamente recomendáveis, Análise integrada das conformidades.bitstream/item/55755/1/DT87.pdfTambém publicado na versão impressa

Análise da biomassa em pastagens com indicativos de degradação na bacia do Alto Tocantins.

Resumo: O presente estudo objetivou aplicar o Surface Algorithm For Retrieving Evapotranspiration (SAFER) e imagens MODIS, juntamente com medições de campo, para analisar a biomassa de acordo com classes indicativas de degradação das pastagens na Bacia Hidrográfica do Alto Tocantins. Para o ano de 2012 observou-se que as classes não degradado e baixa degradação tiveram valores de biomassa muito próximos, com média em torno de 1550 kg ha-1 mês-1. Para as classes de degradação moderada e forte a biomassa média foi de 1400 e 965 kg ha-1 mês-1, respectivamente. Estes resultados indicam perda significativa do potencial de produção das áreas de pastagens. Abstract: This study aimed to apply the Surface Algorithm For Retrieving Evapotranspiration (SAFER) and MODIS images together with field measurements in order to analyze the biomass in each class with indicatives of degradation of pastures in the Watershed Alto Tocantins. For the year 2012 it was observed that biomass in the low degradation class was very close to the values found for pasture areas of nondegraded class, with average value around 1,550 kg ha-1 month-1. For the classes of moderate and strong degradation the average biomass was 1,400 and 965 kg ha-1 month- 1, respectively. These results indicate significant loss of potential production of pasture areas

Estimativa da evapotranspiração e da biomassa de pastagens utilizando o algoritmo SAFER e imagens MODIS.

este estudo objetivou aplicar o Simple Algorithm For Retrieving Evapotranspiration (SAFER) e imagens MODIS, juntamente com medições de campo, para estimar a ET e a Bio de pastagens em fazenda localizada na região do município de Aquidauana, MS

STAT3 mutation impacts biological and clinical features of T-LGL leukemia

STAT3 mutations have been described in 30-40% of T-large granular lymphocyte (T-LGL) leukemia patients, leading to STAT3 pathway activation. Considering the heterogeneity of the disease and the several immunophenotypes that LGL clone may express, the aim of this work was to evaluate whether STAT3 mutations might be associated with a distinctive LGL immunophenotype and/or might be indicative for specific clinical features.Our series of cases included a pilot cohort of 101 T-LGL leukemia patients (68 CD8+/CD4- and 33 CD4+/CD8\ub1) from Padua Hematology Unit (Italy) and a validation cohort of additional 20 patients from Rennes Hematology Unit (France).Our results indicate that i) CD8+ T-LGL leukemia patients with CD16+/CD56- immunophenotype identify a subset of patients characterized by the presence of STAT3 mutations and neutropenia, ii) CD4+/CD8\ub1 T-LGL leukemia are devoid of STAT3 mutations but characterized by STAT5b mutations, and iii) a correlation exists between STAT3 activation and presence of Fas ligand, this molecule resulting highly expressed in CD8+/CD16+/CD56- patients. Experiments with stimulation and inhibition of STAT3 phosphorylation confirmed this relationship. In conclusion, our data show that T-LGL leukemia with specific molecular and phenotypic patterns is associated with discrete clinical features contributing to get insights into molecular bases accounting for the development of Fas ligand-mediated neutropenia

Sleep During Pregnancy: The nuMoM2b Pregnancy and Sleep Duration and Continuity Study

Study Objectives: To characterize sleep duration, timing and continuity measures in pregnancy and their association with key demographic variables. Methods: Multisite prospective cohort study. Women enrolled in the nuMoM2b study (nulliparous women with a singleton gestation) were recruited at the second study visit (16-21 weeks of gestation) to participate in the Sleep Duration and Continuity substudy. Women <18 years of age or with pregestational diabetes or chronic hypertension were excluded from participation. Women wore a wrist activity monitor and completed a sleep log for 7 consecutive days. Time in bed, sleep duration, fragmentation index, sleep efficiency, wake after sleep onset, and sleep midpoint were averaged across valid primary sleep periods for each participant. Results: Valid data were available from 782 women with mean age of 27.3 (5.5) years. Median sleep duration was 7.4 hours. Approximately 27.9% of women had a sleep duration of 9 hours. In multivariable models including age, race/ethnicity, body mass index, insurance status, and recent smoking history, sleep duration was significantly associated with race/ethnicity and insurance status, while time in bed was only associated with insurance status. Sleep continuity measures and sleep midpoint were significantly associated with all covariates in the model, with the exception of age for fragmentation index and smoking for wake after sleep onset. Conclusions: Our results demonstrate the relationship between sleep and important demographic characteristics during pregnancy