Uso de compostos derivados ftalimidicos e/ou sulfonamídicos no tratamento de doenças em que há a necessidade de diminuição dos níveis do fator TNF-alpha e a necessidade de uma fonte exógena de óxido nítrico, compostos derivados sulfonamídicos. Método de obtenção de um composto derivado sulfonamídico

Preparation and use of phthalimide and/or sulphonamide derivatives with nitric oxide donor properties, having activities in increasing gamma-globin gene expression and anti-inflammatory and analgesic activities, effective in the treatment of hematologic diseases which require reducing the TNF-[alpha] levels and an exogenous source of nitric oxide, such as sickle-cell disease. The functionalized phthalimide derivatives are designed from the prototypes thalidomide and hydroxyurea.

Síntese e avaliação farmacológica de novos compostos híbridos úteis para tratamento das complicaçôes da anemia falciforme

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Human telomere disease due to disruption of the CCAAT box of the TERC promoter

Mutations in the coding region of telomerase complex genes can result in accelerated telomere attrition and human disease. Manifestations of telomere disease include the bone marrow failure syndromes dyskeratosis congenita and aplastic anemia, acute myeloid leukemia, liver cirrhosis, and pulmonary fibrosis. Here, we describe a mutation in the CCAAT box (GCAAT) of the TERC gene promoter in a family in which multiple members had typical features of telomeropathy. The genetic alteration in this critical regulatory sequence resulted in reduced reporter gene activity and absent binding of transcription factor NF-Y, likely responsible for reduced TERC levels, decreased telomerase activity, and short telomeres. This is the first description of a pathogenic mutation in the highly con-served CCAAT box and the first instance of a mutation in the promoter region of TERC producing a telomeropathy. We propose that current mutation-screening strategies should include gene promoter regions for the diagnosis of telomere diseases. This clinical trial was registered at www.clinicaltrials.gov as #NCT00071045. (Blood. 2012;119(13):3060-3063)

Modifications of RNA processing modulate the expression of hemoglobin genes.

The developmental changes in hemoglobin gene expression known as "switching" involve both the sequential activation and silencing of the individual globin genes. We postulated that in addition to changes in transcription, posttranscriptional mechanisms may be involved in modulating globin gene expression. We studied globin RNA transcripts in human adult erythroid cells (hAEC to analyze the mechanism of silencing of the embryonic epsilon-globin gene in the adult stage and in K562 erythroleukemic cells to analyze the inactive state of their adult beta-globin genes. In hAEC, which express primarily the beta-globin gene, quantitative PCR analysis shows that beta-mRNA exon levels are high and comparable among the three exons; the RNA transcripts corresponding to exons of the gamma-globin gene are low, with slight differences among the three exons. Although epsilon-globin is not expressed, epsilon-globin RNA transcripts are detected, with exon I levels comparable to that of gamma-globin exon I and much higher than epsilon-exons II and III. As expected, in K562 cells that express high levels of epsilon- and gamma-globin, epsilon- and gamma-mRNA levels are high, with comparable levels of exons I, II, and III. In K562 cells beta-mRNA levels are very low but beta-exon I levels are much higher than that of exons II or III. Moreover, all or most of the globin transcripts for the highly expressed globin genes in both cell types (gamma and beta in hAEC, epsilon and gamma in K562 cells) found in the cytoplasm or nucleus are correctly processed. The globin transcripts that are detected both in the cytoplasm and nucleus of cells without expression of the corresponding protein are largely unspliced (containing one or two intervening sequences). These studies suggest that in addition to changes in transcription rates, changes in completion or processing of globin RNA transcripts may contribute to the developmental regulation of the hemoglobin phenotype.

C/EBP delta and C/EBP gamma bind the CCAAT-box in the human beta-globin promoter and modulate the activity of the CACC-box binding protein, EKLF

Developmental- and tissue-specific expression of globin genes is mediated by a few key elements within the proximal promoter of each gene. DNA-binding assays previously identified NF-Y, GATA-1, C/EBP beta and C/EBP gamma as candidate regulators of beta-globin transcription via the CCAAT-box, a promoter element situated between CACC- and TATA-boxes. We have identified C/EBP delta as an additional beta-globin CCAAT-box binding protein. In reporter assays, we show that C/EBP delta can co-operate with EKLF, a CACC-box binding protein, to activate the beta-globin promoter, whereas C/EBP gamma inhibits the transcriptional activity of EKLF in this assay. (c) 2005 Elsevier B.V. All rights reserved.

Evaluation of piezoelectric PVDF polymers for use in space environments. III. Comparison of the effects of vacuum UV and gamma radiation

Films of piezoelectric PVDF and P(VDF-TrFE) were exposed to vacuum UV (115-300 nm VUV) and -radiation to investigate how these two forms of radiation affect the chemical, morphological, and piezoelectric properties of the polymers. The extent of crosslinking was almost identical in both polymers after -irradiation, but surprisingly, was significantly higher for the TrFE copolymer after VUV-irradiation. Changes in the melting behavior were also more significant in the TrFE copolymer after VUV-irradiation due to both surface and bulk crosslinking, compared with only surface crosslinking for the PVDF films. The piezoelectric properties (measured using d33 piezoelectric coefficients and D-E hysteresis loops) were unchanged in the PVDF homopolymer, while the TrFE copolymer exhibited more narrow D-E loops after exposure to either - or VUV-radiation. The more severe damage to the TrFE copolymer in comparison with the PVDF homopolymer after VUV-irradiation is explained by different energy deposition characteristics. The short wavelength, highly energetic photons are undoubtedly absorbed in the surface layers of both polymers, and we propose that while the longer wavelength components of the VUV-radiation are absorbed by the bulk of the TrFE copolymer causing crosslinking, they are transmitted harmlessly in the PVDF homopolymer.

Gamma-tocotrienol as an effective agent in targeting prostate cancer stem cell-like population

Emerging evidence supports that prostate cancer originates from a rare sub-population of cells, namely prostate cancer stem cells (CSCs). Conventional therapies for prostate cancer are believed to mainly target the majority of differentiated tumor cells but spare CSCs, which may account for the subsequent disease relapse after treatment. Therefore, successful elimination of CSCs may be an effective strategy to achieve complete remission from this disease. Gamma-tocotrienols (-T3) is one of the vitamin-E constituents which have been shown to have anticancer effects against a wide-range of human cancers. Recently, we have reported that -T3 treatment not only inhibits prostate cancer cell invasion but also sensitizes the cells to docetaxel-induced apoptosis, suggesting that -T3 may be an effective therapeutic agent against advanced stage prostate cancer. Here, we demonstrate for the first time that -T3 can down-regulate the expression of prostate CSC markers (CD133/CD44) in androgen independent (AI) prostate cancer cell lines (PC-3 & DU145), as evident from western blotting analysis. Meanwhile, the spheroid formation ability of the prostate cancer cells was significantly hampered by -T3 treatment. In addition, pre-treatment of PC-3 cells with -T3 was found to suppress tumor initiation ability of the cells. More importantly, while CD133-enriched PC-3 cells were highly resistant to docetaxel treatment, these cells were as sensitive to -T3 treatment as the CD133-depleted population. Our data suggest that -T3 may be an effective agent in targeting prostate CSCs, which may account for its anticancer and chemosensitizing effects reported in previous studies.

Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory

There has been considerable research conducted over the last 20 years focused on predicting motor vehicle crashes on transportation facilities. The range of statistical models commonly applied includes binomial, Poisson, Poisson-gamma (or negative binomial), zero-inflated Poisson and negative binomial models (ZIP and ZINB), and multinomial probability models. Given the range of possible modeling approaches and the host of assumptions with each modeling approach, making an intelligent choice for modeling motor vehicle crash data is difficult. There is little discussion in the literature comparing different statistical modeling approaches, identifying which statistical models are most appropriate for modeling crash data, and providing a strong justification from basic crash principles. In the recent literature, it has been suggested that the motor vehicle crash process can successfully be modeled by assuming a dual-state data-generating process, which implies that entities (e.g., intersections, road segments, pedestrian crossings, etc.) exist in one of two states—perfectly safe and unsafe. As a result, the ZIP and ZINB are two models that have been applied to account for the preponderance of “excess” zeros frequently observed in crash count data. The objective of this study is to provide defensible guidance on how to appropriate model crash data. We first examine the motor vehicle crash process using theoretical principles and a basic understanding of the crash process. It is shown that the fundamental crash process follows a Bernoulli trial with unequal probability of independent events, also known as Poisson trials. We examine the evolution of statistical models as they apply to the motor vehicle crash process, and indicate how well they statistically approximate the crash process. We also present the theory behind dual-state process count models, and note why they have become popular for modeling crash data. A simulation experiment is then conducted to demonstrate how crash data give rise to “excess” zeros frequently observed in crash data. It is shown that the Poisson and other mixed probabilistic structures are approximations assumed for modeling the motor vehicle crash process. Furthermore, it is demonstrated that under certain (fairly common) circumstances excess zeros are observed—and that these circumstances arise from low exposure and/or inappropriate selection of time/space scales and not an underlying dual state process. In conclusion, carefully selecting the time/space scales for analysis, including an improved set of explanatory variables and/or unobserved heterogeneity effects in count regression models, or applying small-area statistical methods (observations with low exposure) represent the most defensible modeling approaches for datasets with a preponderance of zeros