RESUMO
It has been established that low concentrations of hydrogen peroxide (H(2)O(2)) are produced in wounds and is required for optimal healing. Yet at the same time, there is evidence that excessive oxidative damage is correlated with poor-healing wounds. In this paper, we seek to determine whether topical application of H(2)O(2) can modulate wound healing and if its effects are related to oxidative damage. Using a C57BL/6 mice excision wound model, H(2)O(2) was found to enhance angiogenesis and wound closure at 10 mM but retarded wound closure at 166 mM. The delay in closure was also associated with decreased connective tissue formation, increased MMP-8 and persistent neutrophil infiltration. Wounding was found to increase oxidative lipid damage, as measured by F(2)-isoprostanes, and nitrative protein damage, as measured by 3-nitrotyrosine. However H(2)O(2) treatment did not significantly increase oxidative and nitrative damage even at concentrations that delay wound healing. Hence the detrimental effects of H(2)O(2) may not involve oxidative damage to the target molecules studied.
Assuntos
Peróxido de Hidrogênio/farmacologia , Estresse Oxidativo/efeitos dos fármacos , Cicatrização/efeitos dos fármacos , Animais , Tecido Conjuntivo/efeitos dos fármacos , Tecido Conjuntivo/patologia , MAP Quinases Reguladas por Sinal Extracelular/metabolismo , Peroxidação de Lipídeos/efeitos dos fármacos , Metaloproteinase 8 da Matriz/metabolismo , Camundongos , Camundongos Endogâmicos C57BL , Infiltração de Neutrófilos/efeitos dos fármacos , Nitrosação/efeitos dos fármacos , Oxirredução/efeitos dos fármacos , Fosforilação/efeitos dos fármacos , Carbonilação Proteica/efeitos dos fármacos , Proteínas Quinases p38 Ativadas por Mitógeno/metabolismoRESUMO
Automated microscopy enables in vivo studies in developmental biology over long periods of time. Time-lapse recordings in three or more dimensions to study the dynamics of developmental processes can produce huge data sets that extend into the terabyte range. However, depending on the available computational resources and software design, downstream processing of very large image data sets can become highly inefficient, if not impossible. To address the lack of available open source and commercial software tools to efficiently reorganize time-lapse data on a desktop computer with limited system resources, we developed TLM-Converter. The software either fragments oversized files or concatenates multiple files representing single time frames and saves the output files in open standard formats. Our application is undemanding on system resources as it does not require the whole data set to be loaded into the system memory. We tested our tool on time-lapse data sets of live Drosophila specimens recorded by laser scanning confocal microscopy. Image data reorganization dramatically enhances the productivity of time-lapse data processing and allows the use of downstream image analysis software that is unable to handle large data sets of ≥2 GB. In addition, saving the outputs in open standard image file formats enables data sharing between independently developed software tools.