介入治疗成人非创伤性股骨头缺血性坏死的疗效分析

目的：分析介入治疗对于成人非创伤性股骨头缺血性坏死的疗效。方法：采用介入方法治疗95例共117髋非创伤性股骨头缺血性坏死。对比介入治疗前后DSA造影分型结果及血供异常例数。结果：117患髋中,Ia型的31病髋中,11髋（35．48％）介入治疗后动脉主干再通;Ib型的27髋中,24髋（88．89％）介入治疗后分支再通;II型的11髋中,5髋（45．45％）实质期股骨头缺损面积缩小;III型的10髋中,8髋（80．00％）静脉期见股骨头浓密染色明显减轻;Ⅳ型的33髋中,28髋（84．85％）可见动脉主干再通、分支增粗、实质期股骨头缺损面积缩小和静脉期股骨头染色减轻等。治疗前117病髋异常率为95．73％。经过介入治疗后,异常率为30．77％。治疗后异常率明显低于治疗前异常率（P〈0．01）。结论：介入治疗可有效改善非创伤性股骨头缺血性坏死血供异常,增加股骨头血供,具有操作简单、创伤小、疗效确切等优点。关键阗：股骨头缺血性坏死;介入治疗;数字减影血管造影     

Moving RNA moves RNA forward

Cell communication affects all aspects of cell structure and behavior, such as cell proliferation, differentiation, division, and coordination of various physiological functions. The moving RNA in plants and mammalian cells indicates that nucleic acid could be one of the various types of messengers for cell communication. The microvesicle is a critical pathway that mediates RNA moving and keeps moving RNA stable in body fluids. When moving miRNA enters the target cell, it functions by altering the gene expression profile and significantly inhibiting mRNA translation in recipient cells. Thus, moving RNA may act as a long-range modulator during development, organogenesis, and tumor metastasis.     

Identification of thresholds for dichotomizing DNA methylation data

DNA methylation plays an important role in many biological processes by regulating gene expression. It is commonly accepted that turning on the DNA methylation leads to silencing of the expression of the corresponding genes. While methylation is often described as a binary on-off signal, it is typically measured using beta values derived from either microarray or sequencing technologies, which takes continuous values between 0 and 1. If we would like to interpret methylation in a binary fashion, appropriate thresholds are needed to dichotomize the continuous measurements. In this paper, we use data from The Cancer Genome Atlas project. For a total of 992 samples across five cancer types, both methylation and gene expression data are available. A bivariate extension of the StepMiner algorithm is used to identify thresholds for dichotomizing both methylation and expression data. Hypergeometric test is applied to identify CpG sites whose methylation status is significantly associated to silencing of the expression of their corresponding genes. The test is performed on either all five cancer types together or individual cancer types separately. We notice that the appropriate thresholds vary across different CpG sites. In addition, the negative association between methylation and expression is highly tissue specific.