Texture profile analysis of bioadhesive polymeric semisolids: Mechanical characterization and investigation of interactions between formulation components

This study reports the use of texture profile analysis (TPA) to mechanically characterize polymeric, pharmaceutical semisolids containing at least one bioadhesive polymer and to determine interactions between formulation components. The hardness, adhesiveness, force per unit time required for compression (compressibility), and elasticity of polymeric, pharmaceutical semisolids containing polycarbophil (1 or 5% w/w), polyvinylpyrrolidone (3 or 5% w/w), and hydroxyethylcellulose (3, 5, or 10% w/w) in phosphate buffer (pH 6.8) were determined using a texture analyzer in the TPA mode (compression depth 15 mm, compression rate 8 mm s(-1) 15 s delay period). Increasing concentrations of polycarbophil, poly vinylpyrrolidone, and hydroxyethylcellulose significantly increased product hardness, adhesiveness, and compressibility but decreased product elasticity. Statistically, interactions between polymeric formulation components were observed within the experimental design and were probably due to relative differences in the physical states of polyvinylpyrrolidone and polycarbophil in the formulations, i.e., dispersed/dissolved and unswollen/swollen, respectively. Increased product hardness and compressibility were possibly due to the effects of hydroxyethylcellulose, polyvinylpyrrolidone, and polycarbophil on the viscosity of the formulations. Increased adhesiveness was related to the concentration and, more importantly, to the physical state of polycarbophil. Decreased product elasticity was due to the increased semisolid nature of the product. TPA is a rapid, straightforward analytical technique that may be applied to the mechanical characterization of polymeric, pharmaceutical semisolids. It provides a convenient means to rapidly identify physicochemical interactions between formulation components. (C) 1996 John Wiley & Sons, Inc.

A profile-based tool for finding pipeline parallelism in sequential programs

Traditional static analysis fails to auto-parallelize programs with a complex control and data flow. Furthermore, thread-level parallelism in such programs is often restricted to pipeline parallelism, which can be hard to discover by a programmer. In this paper we propose a tool that, based on profiling information, helps the programmer to discover parallelism. The programmer hand-picks the code transformations from among the proposed candidates which are then applied by automatic code transformation techniques.

This paper contributes to the literature by presenting a profiling tool for discovering thread-level parallelism. We track dependencies at the whole-data structure level rather than at the element level or byte level in order to limit the profiling overhead. We perform a thorough analysis of the needs and costs of this technique. Furthermore, we present and validate the belief that programs with complex control and data flow contain significant amounts of exploitable coarse-grain pipeline parallelism in the program’s outer loops. This observation validates our approach to whole-data structure dependencies. As state-of-the-art compilers focus on loops iterating over data structure members, this observation also explains why our approach finds coarse-grain pipeline parallelism in cases that have remained out of reach for state-of-the-art compilers. In cases where traditional compilation techniques do find parallelism, our approach allows to discover higher degrees of parallelism, allowing a 40% speedup over traditional compilation techniques. Moreover, we demonstrate real speedups on multiple hardware platforms.

SNP in the genome-wide association study hotspot on chromosome 9p21 confers susceptibility to diabetic nephropathy in type 1 diabetes

AIMS/HYPOTHESIS: Parental type 2 diabetes mellitus increases the risk of diabetic nephropathy in offspring with type 1 diabetes mellitus. Several single nucleotide polymorphisms (SNPs) that predispose to type 2 diabetes mellitus have recently been identified. It is, however, not known whether such SNPs also confer susceptibility to diabetic nephropathy in patients with type 1 diabetes mellitus. METHODS: We genotyped nine SNPs associated with type 2 diabetes mellitus in genome-wide association studies in the Finnish population, and tested for their association with diabetic nephropathy as well as with severe retinopathy and cardiovascular disease in 2,963 patients with type 1 diabetes mellitus. Replication of significant SNPs was sought in 2,980 patients from three other cohorts. RESULTS: In the discovery cohort, rs10811661 near gene CDKN2A/B was associated with diabetic nephropathy. The association remained after robust Bonferroni correction for the total number of tests performed in this study (OR 1.33 [95% CI 1.14, 1.56], p?=?0.00045, p (36tests)?=?0.016). In the meta-analysis, the combined result for diabetic nephropathy was significant, with a fixed effects p value of 0.011 (OR 1.15 [95% CI 1.02, 1.29]). The association was particularly strong when patients with end-stage renal disease were compared with controls (OR 1.35 [95% CI 1.13, 1.60], p?=?0.00038). The same SNP was also associated with severe retinopathy (OR 1.37 [95% CI 1.10, 1.69] p?=?0.0040), but the association did not remain after Bonferroni correction (p (36tests)?=?0.14). None of the other selected SNPs was associated with nephropathy, severe retinopathy or cardiovascular disease. CONCLUSIONS/INTERPRETATION: A SNP predisposing to type 2 diabetes mellitus, rs10811661 near CDKN2A/B, is associated with diabetic nephropathy in patients with type 1 diabetes mellitus.

Role of tol genes in cloacin DF13 susceptibility of Escherichia coli K-12 strains expressing the cloacin DF13-aerobactin receptor IutA

IutA is the outer membrane protein receptor for ferric aerobactin and the bacteriocin cloacin DF13. Although the same receptor is shared, ferric aerobactin transport across the outer membrane in Escherichia coli is TonB dependent, whereas cloacin DF13 transport is not. We have recently observed that tolQ is required for cloacin DF13 susceptibility (J.A. Thomas and M.A. Valvano, FEMS Microbiol. Lett. 91:107-112, 1992). In this study, we demonstrate that the genes tolQ, tolR, and tolA, but not tolB, tolC, and ompF, are required for the internalization of cloacin DF13 and they are not involved in the transport of ferric aerobactin.

tolQ is required for cloacin DF13 susceptibility in Escherichia coli expressing the aerobactin/cloacin DF13 receptor IutA

We investigated the role of the tolQ gene in the import of cloacin DF13 across the outer membrane of Escherichia coli strains expressing the IutA receptor. The IutA outer-membrane protein is the receptor for the siderophore ferric aerobactin and also binds cloacin DF13, a bacteriocin produced by strains of Enterobacter aerogenes. In this report we present evidence that tolQ is required for the internalization of cloacin DF13 upon binding to IutA but it is not involved in the transport of ferric aerobactin.

Polymorphism in the aerobactin-cloacin DF13 receptor genes from an enteroinvasive strain of Escherichia coli and pColV-K30 is associated only with a decrease in cloacin susceptibility

We have cloned chromosomal genes mediating the aerobactin iron transport system from the enteroinvasive strain Escherichia coli 978-77. The physical map of the region spanning the siderophore biosynthesis genes and the upstream portion of the receptor gene in strain 978-77-derived clones was identical to the corresponding regions in pColV-K30, while the downstream portion was different. Recombinant plasmids derived from strain 978-77 encoded a 76-kDa outer membrane protein, in contrast to the 74-kDa polypeptide encoded by similar clones derived from pColV-K30. No differences were found in the uptake of ferric aerobactin mediated by either the 76-kDa- or the 74-kDa-encoding plasmids. In contrast, cells containing the 76-kDa-encoding plasmids showed a 16-fold decrease in susceptibility to cloacin compared with cells harboring the 74-kDa-encoding plasmids. Two classes of chimeric aerobactin receptor genes were constructed by exchanging sequences corresponding to the downstream portion from the aerobactin receptor gene of both systems. The pColV-K30-978-77 chimeric gene encoded a 76-kDa outer membrane protein which mediated a low level of cloacin susceptibility, whereas the 978-77-pColV-K30 type encoded a protein of 74 kDa determining a level of cloacin susceptibility identical to that mediated by pColV-K30.

Genes of the Interleukin-18 Pathway Are Associated With Susceptibility to Barrett's Esophagus and Esophageal Adenocarcinoma

To investigate the association of genetic polymorphisms of the interleukin-18 (IL-18) pathway to Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC). Most cases of EAC arise in a background of reflux-induced BE. Genetic influences in this pathway are poorly understood. IL-18 is a multifunctional cytokine implicated in anti-tumor immunity. A number of polymorphisms of the IL-18 and IL-18 receptor-accessory protein (IL-18RAP) genes have been reported to alter gene expression and have recently been linked to inflammatory processes and various tumors, but have not heretofore been studied in BE and EAC.

New susceptibility Loci associated with kidney disease in type 1 diabetes

Diabetic kidney disease, or diabetic nephropathy (DN), is a major complication of diabetes and the leading cause of end-stage renal disease (ESRD) that requires dialysis treatment or kidney transplantation. In addition to the decrease in the quality of life, DN accounts for a large proportion of the excess mortality associated with type 1 diabetes (T1D). Whereas the degree of glycemia plays a pivotal role in DN, a subset of individuals with poorly controlled T1D do not develop DN. Furthermore, strong familial aggregation supports genetic susceptibility to DN. However, the genes and the molecular mechanisms behind the disease remain poorly understood, and current therapeutic strategies rarely result in reversal of DN. In the GEnetics of Nephropathy: an International Effort (GENIE) consortium, we have undertaken a meta-analysis of genome-wide association studies (GWAS) of T1D DN comprising ~2.4 million single nucleotide polymorphisms (SNPs) imputed in 6,691 individuals. After additional genotyping of 41 top ranked SNPs representing 24 independent signals in 5,873 individuals, combined meta-analysis revealed association of two SNPs with ESRD: rs7583877 in the AFF3 gene (P?=?1.2×10(-8)) and an intergenic SNP on chromosome 15q26 between the genes RGMA and MCTP2, rs12437854 (P?=?2.0×10(-9)). Functional data suggest that AFF3 influences renal tubule fibrosis via the transforming growth factor-beta (TGF-ß1) pathway. The strongest association with DN as a primary phenotype was seen for an intronic SNP in the ERBB4 gene (rs7588550, P?=?2.1×10(-7)), a gene with type 2 diabetes DN differential expression and in the same intron as a variant with cis-eQTL expression of ERBB4. All these detected associations represent new signals in the pathogenesis of DN.