A study of diffusion in poly(ethyleneglycol)-gelatin based semi-interpenetrating networks for use in wound healing

Semi-interpenetrating networks (sIPNs) designed to mimic extracellular matrix via covalent crosslinking of poly(ethylene glycol) diacrylate in the presence of gelatin have been shown to aid in wound healing, particularly when loaded with soluble factors. Ideal systems for tissue repair permit an effective release of therapeutic agents and flow of nutrients to proliferating cells. Appropriate network characterization can, consequently, be used to convey an understanding of the mass transfer kinetics necessary for materials to aid in the wound healing process. Solute transport from and through sIPNs has not yet been thoroughly evaluated. In the current study, the diffusivity of growth factors and nutrients through the polymeric system was determined. Transport of keratinocyte growth factor was modeled by treating the sIPN as a plane sheet into which the protein was loaded. The diffusion coefficient was determined to be 4.86 × 10⁻⁹ ± 1.86 × 10⁻¹² cm²/s. Glucose transport was modeled as flow through a semi-permeable membrane. Using lag-time analysis, the diffusion coefficient was calculated to be 2.25 × 10⁻⁶ ± 1.98 × 10⁻⁷ cm²/s. The results were evaluated in conjunction with previous studies on controlled drug release from sIPNs. As expected from Einstein-Stokes equation, diffusivity decreased as molecular size increased. The results offer insight into the structure-function design paradigm and show that release from the polymeric system is diffusion controlled, rather than dissolution controlled.     

Catalytic activities, protein- and mRNA-expression of cytochrome P450 isoenzymes in intestinal cell lines

1. Certain chemicals and drugs in addition to metabolically activated carcinogens are substrates for intestinal cytochrome P450s (CYPs) and a number of cell lines are available which could be used in metabolism studies. These include the rat duodenal cell line IEC 6, rat ileal IEC 18, foetal human HuTu 80, foetal human small intestinal FHS 74, human duodenal HCT 8 and human colon CaCo-2 cells, but they lack thorough biochemical characterization. 2. The aim of the present study was therefore to investigate the mRNA and protein expression of CYP1A1, CYP1A2, CYP2C9/10, CYP2E1 and CYP3A. In addition, the metabolism of the immunosuppressant drug tacrolimus and of the procarcinogen 7,12-dimethyl-benz[a]anthracene (DMBA) was studied to obtain information on the functional activity on these cell lines. 3. Of all the cell lines tested only CaCo-2 cells expressed CYP1A1 at the protein and mRNA level, but the CYP2E1 and CYP3A protein was also detected in CaCo-2 and FHS 74 cells. It is of considerable interest that none of the other cell lines expressed CYP1A1, CYP1A2, CYP2C9/10 or CYP3A4 at the protein and mRNA level. 4. When the metabolism of DMBA (a model carcinogen) was studied, CaCo-2 cells produced the following metabolites: 7,12-dihydroxymethylbenz[a]anthracene, 7,12-dimethylbenz-[a]anthracene-di-hydrodiol, 7-methyl-12-hydroxymethylbenz[a]anthracene, 7-hydroxy-methyl-12-benz[a]anthracene and possibly the dihydrated product of the latter two derivatives. 5. CaCo-2 cells also catalysed the metabolism of the immunosuppressant drug tacrolimus resulting in the formation of 13-O-demethyl-tacrolimus bisdemethyl-hydroxy-tacrolimus and demethyl-dihydroxy-tacrolimus. Neither the foetal human small intestinal FHS 74 cell line nor any of the other cell lines were able to catalyse the biotransformation of tacrolimus. 6. In conclusion, only CaCo-2 cells were able to produce metabolites similar to those observed in in vivo metabolism studies, whereas all other cell lines were metabolically incompetent. Therefore, this cell line may be used in studies of intestinal biotransformation.     

On the design of high-performance algorithms for aligning multiple protein sequences on mesh-based multiprocessor architectures

In this paper, we address the problem of multiple sequence alignment (MSA) for handling very large number of proteins sequences on mesh-based multiprocessor architectures. As the problem has been conclusively shown to be computationally complex, we employ divisible load paradigm (also, referred to as divisible load theory, DLT) to handle such large number of sequences. We design an efficient computational engine that is capable of conducting MSAs by exploiting the underlying parallelism embedded in the computational steps of multiple sequence algorithms. Specifically, we consider the standard Smith–Waterman (SW) algorithm in our implementation, however, our approach is by no means restrictive to SW class of algorithms alone. The treatment used in this paper is generic to a class of similar dynamic programming problems. Our approach is recursive in the sense that the quality of solutions can be refined continuously till an acceptable level of quality is achieved. After first phase of computation, we design a heuristic scheme that renders the final solution for MSA. We conduct rigorous simulation experiments using several hundreds of homologous protein sequences derived from the Rattus Norvegicus and Mus Musculus databases of olfactory receptors. We quantify the performance based on speed-up metric. We compare our algorithms to serial or single machine processing approaches. We testify our findings by comparing with conventional equal load partitioning (ELP) strategy that is commonly used in the parallel processing literature. Based on our extensive simulation study, we observe that DLT paradigm offers an excellent speed-up characteristics and provides avenues for its use in several other biological sequence processing related problem. This study is a first time attempt in using the DLT paradigm to devise efficient strategies to handle large scale multiple protein sequence alignment problem on mesh-based multiprocessor systems.     

Probing the cure of 13C labelled bisphenol A dicyanate ester in carbon fibre reinforced composites using solid state 13C NMR, SEM and FTIR

We report a study of the curing mechanism of ¹³C labelld bisphenol A dicyanate ester in the presence of a electrolytically surface treated XAS carbon fibre using several techniques – solid state ¹³C NMR, scanning electron microscopy (SEM) and diffuse reflectance FTIR. Comparison of the results obtained in pure matrices and solution shows that the resin undergoes the same reaction mechanism in both cases and forms the sym-triazine network structure in the composite. Received: 25 November 1996/Accepted: 23 January 1997     

Domain Decomposition Methoden für gemischte elliptische Randwertprobleme

Übersicht In diesem Artikel werden einige analytische Domain Decomposition Methoden zur Lösung elliptischer Randwertaufgaben beschrieben. Bei diesen Verfahren wird das Grundgebiet des Randwertproblems in mehrere Teilgebiete unterteilt. Ein Iterationsverfahren verknüpft die Näherungslösungen der Teilprobleme, die gegen die exakte Lösung des Grundproblems konvergieren. Numerische Anwendungen der analytischen Verfahren sind naheliegend, und im letzten Abschnitt werden mit deren Hilfe mehrere gemischte Strömungsprobleme gelöst.

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Domain decomposition methods for mixed elliptic boundary value problems

In this paper some analytic domain decomposition methods used to solve elliptic boundary value problems are described. These techniques are based on a splitting of the grounddomain into several subdomains. An iterative algorithm connects the approximate solutions of the subproblems, which converge to the exact solution of the basic problem. In the last section several mixed electrical flow problems are solved by numerical applications of the analytic methods.