Loss of mitochondrial ClpP,Lonp1, and Tfam triggers transcriptional induction of Rnf213, a susceptibility factor for moyamoya disease

neurogenetics - Human RNF213, which encodes the protein mysterin, is a known susceptibility gene for moyamoya disease (MMD), a cerebrovascular condition with occlusive lesions and compensatory...     

Examination of potential novel biochemical factors in relation to prostate cancer incidence and mortality in UK Biobank

Background Although prostate cancer is a leading cause of cancer death, its aetiology is not well understood. We aimed to identify novel biochemical factors for prostate cancer incidence and mortality in UK Biobank.Methods A range of cardiovascular, bone, joint, diabetes, renal and liver-related biomarkers were measured in baseline blood samples collected from up to 211,754 men at recruitment and in a subsample 5 years later. Participants were followed-up via linkage to health administrative datasets to identify prostate cancer cases. Hazard ratios (HRs) and 95% confidence intervals were calculated using multivariable-adjusted Cox regression corrected for regression dilution bias. Multiple testing was accounted for by using a false discovery rate controlling procedure.Results After an average follow-up of 6.9 years, 5763 prostate cancer cases and 331 prostate cancer deaths were ascertained. Prostate cancer incidence was positively associated with circulating vitamin D, urea and phosphate concentrations and inversely associated with glucose, total protein and aspartate aminotransferase. Phosphate and cystatin-C were the only biomarkers positively and inversely, respectively, associated with risk in analyses excluding the first 4 years of follow-up. There was little evidence of associations with prostate cancer death.Conclusion We found novel associations of several biomarkers with prostate cancer incidence. Future research will examine associations by tumour characteristics.Subject terms: Predictive markers, Prostate cancer, Risk factors     

Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case–control sets from EPIC

Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case–control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR_1SD) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR_1SD = 0.77, 95% confidence interval 0.66–0.89), acylcarnitines C18:1 and C18:2, glutamate, ornithine and taurine (OR_1SD = 0.72, 0.57–0.90), or lysophosphatidylcholines (OR_1SD = 0.81, 0.69–0.95) had lower risk of advanced stage prostate cancer at diagnosis, with no evidence of heterogeneity by follow-up time. Similar associations were observed for the two former patterns with aggressive disease risk (the more aggressive subset of advanced stage), while the latter pattern was inversely related to risk of prostate cancer death (OR_1SD = 0.77, 0.61–0.96). No associations were observed for prostate cancer overall or less aggressive tumor subtypes. In conclusion, metabolite patterns may be related to lower risk of more aggressive prostate tumors and prostate cancer death, and might be relevant to etiology of advanced stage prostate cancer.     

Intracoronary thrombolysis: Organizational prerequisites,technique, and results

Reestablishing myocardial perfusion during evolving myocardial infarction may limit the ultimate extent of infarction if viable myocardial tissue is present when recanalization of the occluded vessel is achieved. This will result in improved left ventricular function and decreased mortality. In addition to their therapeutic benefits, recanalization procedures have contributed greatly to our knowledge of acute myocardial infarction. It has been demonstrated that myocardial infarction most often occurs after thrombotic occlusion of a coronary artery. This has settled a controversy that has preoccupied cardiologists for decades. Selective intracoronary administration of fibrinolytic agents is followed by recanalization in approximately 80% of cases. Therapeutic failures are attributable to occlusion caused by other factors, to inactivation of streptokinase by high antibody concentrations, and to insufficient concentrations of streptokinase at the thrombus as a results of unfavorable flow conditions. This study is dedicated to Prof. Dr. Med. Horst Schmutzler on the occasion of his 60th birthday.     

人原发性肝癌中p16基因表达及CpG岛甲基化状态的研究

目的　进一步探讨人原发性肝癌中 p16基因 m RNA转录水平变化与其基因启动子区 Cp G岛甲基化的关系 ,及其在肝癌发生中的意义。方法　采用狭缝印迹杂交检测 2 0例人原发性肝癌及相应的癌旁、远癌组织及 2例正常人肝组织中 p16基因 m RNA表达水平 ,以甲基化特异性 PCR分析各组织中 p16基因启动子区 Cp G岛的甲基化状况 ,并进行统计分析。结果　 2 0例人原发性肝癌中 14例 (70 % ) p16 m RNA水平比远癌组织显著降低 ;13例 (6 5 % )显示 p16基因启动子区 Cp G岛甲基化 ,其中 84 .6 % (11例 )伴 p16 m RNA转录水平降低。结论　人原发性肝癌中存在高频率的 p16基因表达失活 ,其主要机制可能是启动子区 Cp G岛甲基化抑制了基因的转录 ,在人原发性肝癌的发生发展中有重要作用。其临床诊断和治疗意义有待进一步深入研究。     

应用电子计算机计算血液流变学的正常值及分析

为评价血流粘滞诸因素生理与病理的异常,对济南地区338例正常人血液流变学的各项指标进行了检测,统计了血液流变学各项指标的总平均及男女的平均值和正常范围,并计算了血液流变学各项指标间的相关系数。     

Experimentelle Untersuchungen über die Entzündung der Hornhaut

Ohne ZusammenfassungHierzu Taf. XV–XVI.