Monocyte subsets and monocyte-related chemokines in Takayasu arteritis

The pathogenesis of Takayasu arteritis (TAK) is poorly understood and no previous studies have analyzed monocytes in TAK. This study evaluated monocyte subsets and monocyte-related chemokines in the peripheral blood of TAK patients and healthy controls (HC). Monocyte subsets were identified as classical (CD14+CD16−), intermediate (CD14+CD16dim), and non-classical (CD14dimCD16high) in the peripheral blood. The chemokines CCL (C–C chemokine ligand)2, CCL3, CCL4, CCL5, CCL7, CXCL (C-X-C motif ligand)10, and CX3CL (C-X3-C motif ligand)1 were measured in the sera. Thirty-two TAK patients and 30 HC were evaluated. Intermediate monocytes were higher in TAK than HC [25.0 cells ×106/L (16.7–52.0) vs. 17.2 cells ×106/L (9.2–25.3); p = 0.014]. Active disease was associated with monocytosis (p = 0.004), increased classical (p = 0.003), and intermediate (p &lt; 0.001) subsets than HC. Prednisone reduced the percentage of non-classical monocytes (p = 0.011). TAK patients had lower CCL3 (p = 0.033) and CCL4 (p = 0.023) levels than HC, whereas CCL22 levels were higher in active TAK compared to the remission state (p = 0.008). Glucocorticoids were associated with lower CXCL10 levels (p = 0.012). In TAK, CCL4 correlated with total (Rho = 0.489; p = 0.005), classical and intermediate monocytes (Rho = 0.448; p = 0.010 and Rho = 0.412; p = 0.019). In conclusion, TAK is associated with altered counts of monocyte subsets in the peripheral blood compared to HC and CCL22 is the chemokine with the strongest association with active disease in TAK.</p

Contraints on unified models for dark matter and dark energy using H(z)

The differential age data of astrophysical objects that have evolved passivelly during the history of the universe (e.g. red galaxies) allows to test theoretical cosmological models through the predicted Hubble function expressed in terms of the redshift $z$, $H(z)$. We use the observational data for $H(z)$ to test unified scenarios for dark matter and dark energy. Specifically, we focus our analysis on the Generalized Chaplygin Gas (GCG) and the viscous fluid (VF) models. For the GCG model, it is shown that the unified scenario for dark energy and dark matter requires some priors. For the VF model we obtain estimations for the free parameters that may be compared with further analysis mainly at perturbative level.Comment: Latex file, 10 pages, 19 figures in eps format. Accepted for publication in European Journal of Physics

Rock biofertilizer and earthworm compost on sugarcane performance and soil attributes in two consecutive years

ABSTRACT The deployment of soluble fertilizers has been one of the most commonly applied agricultural practices in the bid to increase crop yield. However, the production of soluble fertilizers has a considerable economic cost and consumes a substantial amount of energy. In general, soil organic matter provides the nutrients needed for plant growth in organic agriculture. However, these nutrients are not sufficient if the best yield is to be obtained. The aim of our field experiment was to evaluate the effectiveness of phosphate and potassic sources (rocks, bio-fertilizers and soluble fertilizers) based on several sugarcane characteristics and soil attributes. Our experiment was conducted over two consecutive years, and we assessed the effect of using sugarcane filter mud cake (SFMC). In addition, we mixed the phosphate and potassic sources with earthworm compost enriched in N by inoculation with diazotrophic bacteria (OM) and applied at 50, 100 and 150 % of the recommended dosage rate (RDR). The PK biofertilizer with OM enriched in N positively affected sugarcane height, yield, and industrial characteristics. The application of SFMC greatly increased available P and K in the soil and plant characteristics with residual effect in the two consecutive harvests. We conclude that the biofertilizer has the potential to increase sugarcane characteristics and may represent an alternative to soluble fertilizers

Desempenho de índices quantitativos de seca na estimativa da produtividade de arroz de terras altas

O objetivo deste trabalho foi caracterizar a intensidade e a ocorrência de seca pelo uso de índices quantitativos, e avaliar a relação entre esses índices e os dados da série histórica da produtividade ajustada do arroz de terras altas da microrregião de Goiânia, GO. O ajuste da série histórica foi realizado para minimizar os efeitos da variabilidade climática da região e dos avanços tecnológicos sobre a produtividade. Foram avaliados os seguintes índices: severidade de seca de Palmer (PDSI); Z de Palmer (Z-index); o de anomalia de chuva (RAI); e o padronizado de precipitação (SPI). Os índices de seca foram analisados com uso da correlação de Pearson, número e frequência de ocorrência da seca e percentual de acerto dos índices em relação à produtividade ajustada. O RAI quantificou o maior número de eventos extremos de seca, enquanto o PDSI não estimou nenhum caso. O Z-index apresentou o maior percentual de acerto, em relação às variações ocorridas na produtividade ajustada. Em períodos com variações da produtividade ajustada maior que 300 kg ha-1, Z-index, RAI e SPI apresentaram 78, 78 e 67% de percentuais de acerto, respectivamente. O Z-index teve o melhor desempenho na estimação da produtividade ajustada de arroz de terras altas