Importance of solid lipid nanoparticles (SLN) in various administration routes and future perspectives

Solid lipid nanoparticles (SLN) have been reported to be an alternative system to emulsions, liposomes, microparticles and their polymeric counterparts for various application routes since the early 1990s due to their advantages. Various research groups have also increasingly focused on improving their stability in body fluids after administration by coating of particles with hydrophilic molecules such as poly(ethylene)glycol (PEG) derivatives. Altering surface characteristics by coating SLN with hydrophilic molecules improves plasma stability and biodistribution, and subsequent bioavailability of drugs entrapped. Their storage stability is also increased. This paper basicly reviews types of SLN, principles of drug loading and models of drug incorporation. The influence of PEG coating on particle size and surface characteristics is discussed followed by alteration in pharmacokinetics and bioavailability of drugs in order to target the site of action via SLN. The future direction of research and clinical implications of SLN is also considered.     

Augmented cell-graphs for automated cancer diagnosis

This work reports a novel computational method based on augmented cell-graphs (ACG), which are constructed from low-magnification tissue images for the mathematical diagnosis of brain cancer (malignant glioma). An ACG is a simple, undirected, weighted and complete graph in which a node represents a cell cluster and an edge between a pair of nodes defines a binary relationship between them. Both the nodes and the edges of an ACG are assigned weights to capture more information about the topology of the tissue. In this work, the experiments are conducted on a dataset that is comprised of 646 human brain biopsy samples from 60 different patients. It is shown that the ACG approach yields sensitivity of 97.53% and specificities of 93.33 and 98.15% (for the inflamed and healthy, respectively) at the tissue level in glioma diagnosis.     

Epidemiological models of Mycobacterium tuberculosis complex infections

The resurgence of tuberculosis in the 1990s and the emergence of drug-resistant tuberculosis in the first decade of the 21st century increased the importance of epidemiological models for the disease. Due to slow progression of tuberculosis, the transmission dynamics and its long-term effects can often be better observed and predicted using simulations of epidemiological models. This study provides a review of earlier study on modeling different aspects of tuberculosis dynamics. The models simulate tuberculosis transmission dynamics, treatment, drug resistance, control strategies for increasing compliance to treatment, HIV/TB co-infection, and patient groups. The models are based on various mathematical systems, such as systems of ordinary differential equations, simulation models, and Markov Chain Monte Carlo methods. The inferences from the models are justified by case studies and statistical analysis of TB patient datasets.     

Multiscale feature analysis of salivary gland branching morphogenesis

Pattern formation in developing tissues involves dynamic spatio-temporal changes in cellular organization and subsequent evolution of functional adult structures. Branching morphogenesis is a developmental mechanism by which patterns are generated in many developing organs, which is controlled by underlying molecular pathways. Understanding the relationship between molecular signaling, cellular behavior and resulting morphological change requires quantification and categorization of the cellular behavior. In this study, tissue-level and cellular changes in developing salivary gland in response to disruption of ROCK-mediated signaling by are modeled by building cell-graphs to compute mathematical features capturing structural properties at multiple scales. These features were used to generate multiscale cell-graph signatures of untreated and ROCK signaling disrupted salivary gland organ explants. From confocal images of mouse submandibular salivary gland organ explants in which epithelial and mesenchymal nuclei were marked, a multiscale feature set capturing global structural properties, local structural properties, spectral, and morphological properties of the tissues was derived. Six feature selection algorithms and multiway modeling of the data was performed to identify distinct subsets of cell graph features that can uniquely classify and differentiate between different cell populations. Multiscale cell-graph analysis was most effective in classification of the tissue state. Cellular and tissue organization, as defined by a multiscale subset of cell-graph features, are both quantitatively distinct in epithelial and mesenchymal cell types both in the presence and absence of ROCK inhibitors. Whereas tensor analysis demonstrate that epithelial tissue was affected the most by inhibition of ROCK signaling, significant multiscale changes in mesenchymal tissue organization were identified with this analysis that were not identified in previous biological studies. We here show how to define and calculate a multiscale feature set as an effective computational approach to identify and quantify changes at multiple biological scales and to distinguish between different states in developing tissues.     

Human peripheral blood mononuclear cells produce IgA anti-influenza virus antibody in a secondary in vitro antibody response

The function and immunoregulation of human IgA memory B cells producing anti-influenza virus antibody was analyzed in vitro in antigen-stimulated cultures. Peripheral blood mononuclear cells (PBMC) from seven of eight normal adult volunteers naturally immunized to influenza virus produced IgA anti-influenza virus antibody when stimulated in vitro with inactivated A/Aichi/68 [H3N2] influenza virus. This IgA antibody response was approximately one-eighth the IgG antibody response. PBMC from each of five patients with selective IgA deficiency failed to produce any measurable IgA antibody. When tonsillar mononuclear cells (TMC) were studied in a similar manner, a relatively higher IgA antibody response was obtained (one-third the IgG antibody) than with PBMC. Additional studies were undertaken to investigate the immunoregulation of this IgA antibody production and the relatively lower amount produced by PBMC than by TMC. Co-cultures of peripheral blood B cells with irradiated peripheral blood T cells (to possibly inactivate a radiosensitive IgA suppressor cell) did not result in a relative increase in IgA antibody production. Also, co-cultures of B cells with increasing numbers of T cells produced parallel increases of IgG and IgA antibody when plotted on a log scale with slopes of approximately 1, suggesting that a single helper T cell was limiting for both isotypes. Finally, pokeweed mitogen-stimulated co-cultures of peripheral blood and tonsillar B and T cells revealed that the B cell population, but not the T cell population, determined the amount of IgA anti-influenza virus antibody produced. Precursor frequency analyses of tonsillar and peripheral blood B cells in antigen-stimulated cultures confirmed that tonsils contained a higher precursor frequency of B cells for IgA anti-influenza virus antibody production (3.95/10(6) B cells) than did peripheral blood B cells (0.65/10(6) B cells). Thus, IgA memory cells are preferentially found in tonsillar tissue as compared with the peripheral blood, consistent with the role of the tonsils as a mucosal immune organ.     

Combined point mutations in codon 12 and 13 of KRAS oncogene in prostate carcinomas

Prostate cancer is a common malignancy that develops by structural mutation(s) and/or other genetic alterations in specific genes.The G to T transversions in codon 12 and C to T transitions in codon 13 of KRAS proto-oncogene are predominant point mutations that occur in about 20% of different cancers in human. In the current study it was aimed to investigate the prevalence and predictive significance of KRAS mutations in patients with prostate carcinomas. In a total of 30 fresh tumoural tissue specimens were investigated in patients with prostate carcinoma. All tumoural specimens were histo-pathologically diagnosed and genotyped for codon 12, 13 KRAS point mutations by reverse hybridisation and direct sequencing methods. KRAS mutations were found in 12 (40%) samples with 29 samples deriving from adenocarcinomas and 1 sample was small cell prostate carcinoma. In 1 (3.44%) sample codon 12 was found to be mutated and in 2 (6.8%) samples codon 13 and in 9 (31%) samples combined codon 12 and 13 were found to be mutated particularly in higher grade of tumoural tissues. Our study, based on representative collection of human prostate tumours, indicates that combined mutations in codons 12 and 13 KRAS are relatively infrequent and most commonly occur in prostate carcinomas.