Effect of bilirubin on cytochrome c oxidase activity of mitochondria from mouse brain and liver

<p>Abstract</p> <p>Background</p> <p>The unbound, free concentration (B_f) of unconjugated bilirubin (UCB), and not the total UCB level, has been shown to correlate with bilirubin cytotoxicity, but the key molecular mechanisms accounting for the toxic effects of UCB are largely unknown.</p> <p>Findings</p> <p>Mouse liver mitochondria increase unbound UCB oxidation, consequently increasing the apparent rate constant for unbound UCB oxidation by HRP (Kp), higher than in control and mouse brain mitochondria, emphasizing the importance of determining Kp in complete systems containing the organelles being studied. The <it>in vitro </it>effects of UCB on cytochrome <it>c </it>oxidase activity in mitochondria isolated from mouse brain and liver were studied at B_franging from 22 to 150 nM. The results show that UCB at B_fup to 60 nM did not alter mitochondrial cytochrome <it>c </it>oxidase activity, while the higher concentrations significantly inhibited the enzyme activity by 20% in both liver and brain mitochondria.</p> <p>Conclusions</p> <p>We conclude that it is essential to include the organelles being studied in the medium used in measuring both Kp and B_f. A moderately elevated, pathophysiologically-relevant B_fimpaired the cytochrome <it>c </it>oxidase activity modestly in mitochondria from mouse brain and liver.</p

Statistical colour models: an automated digital image analysis method for quantification of histological biomarkers

Background: Colour is the most important feature used in quantitative immunohisto- chemistry (IHC) image analysis; IHC is used to provide information relating to aetiology and to con rm malignancy. Methods: Statistical modelling is a technique widely used for colour detection in computer vision. We have developed a statistical model of colour detection applicable to detection of stain colour in digital IHC images. Model was rst trained by massive colour pixels collected semi-automatically. To speed up the training and detection processes, we removed luminance channel, Y channel of YCbCr colour space and chose 128 histogram bins which is the optimal number. A maximum likelihood classi- er is used to classify pixels in digital slides into positively or negatively stained pixels automatically. The model-based tool was developed within ImageJ to quantify targets identi ed using IHC and histochemistry. Results: The purpose of evaluation was to compare the computer model with human evaluation. Several large datasets were prepared and obtained from human oesopha- geal cancer, colon cancer and liver cirrhosis with di erent colour stains. Experimental results have demonstrated the model-based tool achieves more accurate results than colour deconvolution and CMYK model in the detection of brown colour, and is comparable to colour deconvolution in the detection of pink colour. We have also demostrated the proposed model has little inter-dataset variations. Conclusions: A robust and e ective statistical model is introduced in this paper. The model-based interactive tool in ImageJ, which can create a visual representation of the statistical model and detect a speci ed colour automatically, is easy to use and avail- able freely at http://rsb.info.nih.gov/ij/plugins/ihc-toolbox/index.html. Testing to the tool by di erent users showed only minor inter-observer variations in results

Enteric Neurospheres Are Not Specific to Neural Crest Cultures: Implications for Neural Stem Cell Therapies

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited

Spirometric changes in obstructive disease: after all, how much is significant?

OBJECTIVE: To establish the upper limits for changes in FEV1, slow vital capacity (SVC), FVC, and inspiratory capacity (IC) after placebo administration in patients with airflow obstruction. METHODS: One hundred and two adults with airflow obstruction (FEV1 = 62 ± 19% of predicted) were included in the study. All of the participants performed SVC and FVC maneuvers before and after the administration of placebo spray. The changes in FEV1, SVC, FVC, and IC were expressed as absolute values, percentage of change from baseline values, and percentage of predicted values, 95% CIs and 95th percentiles being calculated. Factor analysis was performed in order to determine how those changes clustered. RESULTS: Considering the 95% CIs and 95th percentiles and after rounding the values, we found that the upper limits for a significant response were as follows: FEV1 = 0.20 L, FVC = 0.20 L, SVC = 0.25 L, and IC = 0.30 L (expressed as absolute values); FEV1 = 12%, FVC = 7%, SVC = 10%, and IC = 15% (expressed as percentage of change from baseline values); and FEV1 = 7%, FVC = 6%, SVC = 7%, and IC = 12% (expressed as percentage of predicted values). CONCLUSIONS: In patients with airflow obstruction, IC varies more widely than do FVC and SVC. For IC, values greater than 0.30 L and 15% of change from the baseline value can be considered significant. For FVC, values greater than 0.20 L and 7% of change from the baseline value are significant. Alternatively, changes exceeding 0.20 L and 7% of the predicted value can be considered significant for FEV1 and FVC. On factor analysis, spirometric parameters clustered into three dimensions, expressing changes in flows, volumes, and dynamic hyperinflation.OBJETIVO: Estabelecer os limites superiores para mudanças em VEF1, capacidade vital lenta (CVL), CVF e capacidade inspiratória (CI) após o uso de placebo em pacientes com obstrução ao fluxo aéreo. MÉTODOS: Cento e dois adultos com obstrução ao fluxo aéreo (VEF1 = 62 ± 19% do previsto) foram incluídos neste estudo. Todos os participantes realizaram manobras de CVL e CVF antes e depois do uso de spray de placebo. As mudanças em VEF1, CVL, CVF e CI foram expressas em valores absolutos, porcentagem de variação em relação aos valores basais e porcentagem dos valores previstos, e foram calculados os IC95% e os percentis 95. A análise fatorial foi realizada a fim de determinar como essas alterações se agrupavam. RESULTADOS: Considerando os IC95% e percentis 95 e após o arredondamento dos valores, obtivemos os seguintes limites superiores para resposta significante: VEF1 = 0,20 L, CVF = 0,20 L, CVL = 0,25 L e CI = 0,30 L (em valores absolutos); VEF1 = 12%, CVF = 7%, CVL = 10% e CI = 15% (em porcentagem de variação em relação aos valores basais) e VEF1 = 7%, CVF = 6%, CVL = 7% e CI = 12% (em porcentagem dos valores previstos). CONCLUSÕES: Em pacientes com obstrução ao fluxo aéreo, a CI apresenta maior variabilidade do que a CVF e a CVL. Para a CI, valores maiores que 0,30 L e 15% de variação em relação ao valor basal devem ser considerados significantes. Para CVF, valores maiores que 0,20L e 7% de variação em relação ao valor basal são significantes. Alternativamente, alterações de mais de 0,20 L e 7% do previsto no VEF1 e na CVF devem ser consideradas significantes. Na análise fatorial, os parâmetros espirométricos se agruparam em três dimensões, expressando mudanças no fluxo, volume e hiperinsuflação dinâmica.Universidade Federal do Rio Grande do NorteUniversidade Federal de São Paulo (UNIFESP)Hospital do Servidor Público Estadual de São PauloUNIFESPSciEL