Comparative analysis of biofilm models to determine the efficacy of antimicrobials.

Biofilms are one of the greatest challenges in today's treatment of chronic wounds. While antimicrobials kill platonic bacteria within seconds, they are rarely able to harm biofilms. In order to identify effective substances for antibacterial therapy, cost-efficient, standardized and reproducible models that aim to mimic the clinical situation are required. In this study, two 3D biofilm models based on human plasma with immune cells (lhBIOM) or based on sheep blood (sbBIOM) containing S. aureus or P. aeruginosa, are compared with the human biofilm model hpBIOM regarding their microscopic structure (scanning electron microscopy; SEM) and their bacterial resistance to octenidine hydrochloride (OCT) and a sodium hypochlorite (NaOCl) wound-irrigation solution. The three analyzed biofilm models show little to no reaction to treatment with the hypochlorous solution while planktonic S. aureus and P. aeruginosa cells are reduced within minutes. After 48 h, octenidine hydrochloride manages to erode the biofilm matrix and significantly reduce the bacterial load. The determined effects are qualitatively reflected by SEM. Our results show that both ethically acceptable human and sheep blood based biofilm models can be used as a standard for in vitro testing of new antimicrobial substances. Due to their composition, both fulfill the criteria of a reality-reflecting model and therefore should be used in the approval for new antimicrobial agents.

Side effects of frequently used oral antidiabetics on wound healing in vitro.

Lifestyle diseases such as diabetes and arteriosclerosis are rising in the increasingly aging society, and the number of patients with daily intake of glucose-lowering medication has also increased. Interestingly, knowledge about oral antidiabetics with regard to wound healing is scarce. Therefore, the aim of this study was to identify possible (side) effects of the most frequently prescribed oral antidiabetics on skin cells and wound healing. Four oral antidiabetics of different substance classes (i.e., metformin, glibenclamide, sitagliptin, repaglinide) were investigated with regard to the promotion of cell metabolism and migration of human skin fibroblasts and keratinocytes by XTT and scratch assays. In addition, histological and immunohistochemical analyses were performed in a 3D wound model to address the impact of the antidiabetics on regeneration processes, such as cell migration, fibroblast activity, epidermal thickness, and cell apoptosis. In comparison to systemic application, metformin displayed the most adverse effects in vitro in nearly all analyses, interestingly at serum equivalent concentrations. In contrast, sitagliptin and glibenclamide had a slight but insignificant effect on fibroblasts compared with keratinocytes. Repaglinide tended to have a negative influence on keratinocyte metabolism. Interestingly, antidiabetics generally induced a significantly enhanced rate of apoptosis in fibroblasts, with the exception of repaglinide.Antidiabetics influenced key players in wound healing, namely, keratinocytes and fibroblasts. Particularly, metformin impaired human skin cells. These findings should be kept in mind in further studies because of their putative relevance in patients suffering from chronic wounds that do not respond to various wound therapies.

Automatic cell segmentation in strongly agglomerated cell networks for different cell types.

This paper presents a method of separating cells that are connected to each other forming clusters. The difference to many other publications covering similar topics is that the cell types we are dealing with form clusters of highly varying morphology. An advantage of our method is that it can be universally used for different cell types. The segmentation method is based on a growth simulation starting from the nuclei areas. To start the evaluation, the cells need to be made visible with a histological stain, in our case with the May-Grünwald solution. After the staining process has been completed, the nuclei areas can be distinguished from the other cell areas by a histogram backprojection algorithm. The presented method can, in addition to histological stained cells, also be applied to fluorescent-stained cells.