Comparison of the cardiac effects between quinazoline-based α<Subscript>1</Subscript>-adrenoceptor antagonists on occlusion–reperfusion injury

Quinazoline-based compounds such as prazosin and its congeners including doxazosin, bunazosin, and terazosin are widely used as antihypertensive agents. However, there were many clinical observations showing that using these agents may result in higher risk of cardiovascular accidents in recent years. In this study, we compared the effects of four α-adrenoceptor antagonists: prazosin, doxazosin, bunazosin, and terazosin on occlusion–reperfusion injury. Langendorff-perfused rat hearts were pretreated with these four antagonists, and then the left main coronary artery was occluded. After 30 min occlusion, the hearts were reperfused for 2 h and the infarct sizes were measured. Two of the compounds studied, prazosin and doxazosin, apparently increased infarct size, CK-MB, and LDH activities after 2 h reperfusion. In contrast, bunazosin decreased infarct size and those biochemical indicators of cellular damage compared to control hearts. Although infarct size after reperfusion was differently changed by these four α-adrenoceptor antagonists, TUNEL-positive nuclei and caspase-3 protein expressions of all the groups were not significantly different. We supposed that the different effects of these four agents on infarct size came from the difference in necrosis rather than apoptosis.     

利用癌功能类从癌基因组突变谱中识别癌基因

从大规模癌样本基因突变扫查数据中识别癌基因具有重要的意义. 一些重要功能的改变对于癌的发生发展是必需的, 因此将它们定义为癌功能类, 并从GO(Gene Ontology)中选择一组显著富集已知癌基因的细致功能类来代表它们. 为了评价以癌相关功能类作为特征识别癌基因的效果, 将已知的蛋白激酶癌基因定义为阳性金标准, 而将其他的蛋白激酶基因定义为阴性金标准. 结果表明, 与利用选择压力作为特征的方法比较, 利用癌相关功能类作为特征的方法可以更有效地识别癌基因. 进一步结合癌相关功能类与基因非同义突变个数可以产生更可靠的预测结果. 最后, 将46个注释到癌相关功能类并且其非同义突变个数至少为3的蛋白激酶基因预测为癌基因, 预测精确率达到0.42.     

Auto-adaptive Alpha Allocation: A Strategy to Mitigate Risk on Study Assumptions

In some clinical development programs, there are potential biomarkers with promising but uncertain predictive effect, while the probability of success in the overall population cannot be readily dismissed. It is risky to focus only on the overall population, or just the biomarker subpopulation. In 2009, Chen and Beckman proposed a Bayesian decision framework to optimize the type I error rate (alpha) allocation in a Phase III clinical study with possible predictive subset effect. The utilization of internal data in this framework is of particular interest because it provides an opportunity to mitigate the potential risk of misspecified study assumptions using an auto-adaptive strategy. In this paper, we examine this auto-adaptive strategy in detail through extensive numerical case studies and provide guidance on the appropriate use of partial current trial (internal) data in this data-driven optimization framework. We show that internal data can be used to inform the alpha allocation to hypothesis testing in the overall population and the subgroup. The resulting adaptive testing strategy is robust with respect to the uncertainty in the predictive subgroup effect and biomarker prevalence.     

The absence of invariant chain in MHC II cancer vaccines enhances the activation of tumor-reactive type 1 CD4<Superscript>+</Superscript> T lymphocytes

Activation of tumor-reactive T lymphocytes is a promising approach for the prevention and treatment of patients with metastatic cancers. Strategies that activate CD8⁺ T cells are particularly promising because of the cytotoxicity and specificity of CD8⁺ T cells for tumor cells. Optimal CD8⁺ T cell activity requires the co-activation of CD4⁺ T cells, which are critical for immune memory and protection against latent metastatic disease. Therefore, we are developing “MHC II” vaccines that activate tumor-reactive CD4⁺ T cells. MHC II vaccines are MHC class I⁺ tumor cells that are transduced with costimulatory molecules and MHC II alleles syngeneic to the prospective recipient. Because the vaccine cells do not express the MHC II-associated invariant chain (Ii), we hypothesized that they will present endogenously synthesized tumor peptides that are not presented by professional Ii⁺ antigen presenting cells (APC) and will therefore overcome tolerance to activate CD4⁺ T cells. We now report that MHC II vaccines prepared from human MCF10 mammary carcinoma cells are more efficient than Ii⁺ APC for priming and boosting Type 1 CD4⁺ T cells. MHC II vaccines consistently induce greater expansion of CD4⁺ T cells which secrete more IFNγ and they activate an overlapping, but distinct repertoire of CD4⁺ T cells as measured by T cell receptor Vβ usage, compared to Ii⁺ APC. Therefore, the absence of Ii facilitates a robust CD4⁺ T cell response that includes the presentation of peptides that are presented by traditional APC, as well as peptides that are uniquely presented by the Ii⁻ vaccine cells.     

The Expression and Significance of Neuronal Iconic Proteins in Podocytes

Growing evidence suggests that there are many common cell biological features shared by neurons and podocytes; however, the mechanism of podocyte foot process formation remains unclear. Comparing the mechanisms of process formation between two cell types should provide useful guidance from the progress of neuron research. Studies have shown that some mature proteins of podocytes, such as podocin, nephrin, and synaptopodin, were also expressed in neurons. In this study, using cell biological experiments and immunohistochemical techniques, we showed that some neuronal iconic molecules, such as Neuron-specific enolase, nestin and Neuron-specific nuclear protein, were also expressed in podocytes. We further inhibited the expression of Neuron-specific enolase, nestin, synaptopodin and Ubiquitin carboxy terminal hydrolase-1 by Small interfering RNA in cultured mouse podocytes and observed the significant morphological changes in treated podocytes. When podocytes were treated with Adriamycin, the protein expression of Neuron-specific enolase, nestin, synaptopodin and Ubiquitin carboxy terminal hydrolase-1 decreased over time. Meanwhile, the morphological changes in the podocytes were consistent with results of the Small interfering RNA treatment of these proteins. The data demonstrated that neuronal iconic proteins play important roles in maintaining and regulating the formation and function of podocyte processes.