Ultrasonic Elastography Research Based on a Multicenter Study: Adding Strain Ratio after 5-Point Scoring Evaluation or Not

Background

This study aimed to confirm whether strain ratio should be added after evaluation of lesions with 5-point elasticity scoring for differentiating benign and malignant breast lesions on ultrasonographic elastography(UE).

Materials and Methods

From June 2010 to March 2012, 1080 consecutive female patients with breast lesions were recruited into a multicenter retrospective study, which involved 8 centers across China. Each institutional ethic review board approved the study, and all the patients gave written informed consent. All the patients underwent the UE procedure and the strain ratios were calculated and the final diagnosis was made by histological findings. The sensitivity, specificity, accuracy, PPV and NPV were calculated for each of the two evaluation systems and the areas under the ROC curve were compared.

Results

The strain ratios of benign lesions (mean, 2.6±2.0) and malignant lesions (mean,7.9±5.8) were significantly different (p <0.01). When the cutoff point was 3.01, strain ratio method had 79.8% sensitivity, 82.8% specificity, and 81.3% accuracy, while the 5-point scoring method had 93.1% sensitivity, 73.0% specificity, and 76.8% accuracy. The areas under the ROC curve with the strain ratio method and 5-point scoring method were 0.863 and 0.865, respectively(p>0.05). The strain ratio method shows better a diagnosis performance of the lesions with elasticity score 3 and 4.

Conclusions

Although the two UE methods have similar diagnostic performance, separate calculation of the strain ratios seems compulsory, especially for the large solid breast lesions and the lesions with elasticity score 3 and 4.     

Dynamic 1H NMR-based extracellular metabonomic analysis of oligodendroglia cells infected with herpes simplex virus type 1

Herpes simplex virus type 1 (HSV-1) is a large, neurotropic, double-stranded DNA virus that establishes a lifelong latent infection in neurons and glial cells. Previous studies reveal that several metabolic perturbations are associated with HSV-1 infection. However, the extracellular metabolic alterations associated with HSV-1 infection have not been systematically profiled in human cells. Here, a proton nuclear magnetic resonance-based metabonomic approach was applied to differentiate the extracellular metabonomic profiles of HSV-1 infected human oligodendroglia cells (n = 18) and matched control cells (n = 18) at three time points (12, 24, and 36 h post-infection). Resulting spectra were analyzed by chemometric and statistical methods. Metabonomic profiling revealed perturbations in 21 extracellular metabolites. Partial least squares discriminant analysis demonstrated that the whole metabolic patterns enabled statistical discrimination between HSV-1 infected human oligodendroglia cells and control cells. Eight extracellular metabolites, seven of which were amino acids, were primarily responsible for score plot discrimination between HSV-1 infected human oligodendroglia cells and control cells at 36 h post-infection: alanine, glycine, isoleucine, leucine, glutamate, glutamine, histidine, and lactate. HSV-1 infection alters amino acid metabolism in human oligodendroglia cells cultured in vitro. HSV-1 infection may disturb these host cellular pathways to support viral replication. Through elucidating the extracellular metabolic changes incident to HSV-1 infection, this study also provides future directions for investigation into the pathogenic mechanism of HSV-1.     

Endoplasmic Reticulum Stress in Heat- and Shake-Induced Injury in the Rat Small Intestine

We investigated the mechanisms underlying damage to rat small intestine in heat- and shake-induced stress. Eighteen Sprague-Dawley rats were randomly divided into a control group and a 3-day stressed group treated 2 h daily for 3 days on a rotary platform at 35°C and 60 r/min. Hematoxylin and eosin-stained paraffin sections of the jejunum following stress revealed shedding of the villus tip epithelial cells and lamina propria exposure. Apoptosis increased at the villus tip and extended to the basement membrane. Photomicrographs revealed that the microvilli were shorter and sparser; the nuclear envelope invaginated and gaps in the karyolemma increased; and the endoplasmic reticulum (ER) swelled significantly. Gene microarray analysis assessed 93 differentially expressed genes associated with apoptosis, ER stress, and autophagy. Relevant genes were compiled from the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. Forty-one genes were involved in the regulation of apoptosis, fifteen were related to autophagy, and eleven responded to ER stress. According to KEGG, the apoptosis pathways, mitogen-activated protein kinase(MAPK) signaling pathway, the mammalian target of rapamycin (mTOR) signaling pathway, and regulation of autophagy were involved. Caspase3 (Casp3), caspase12 (Casp12), and microtubule-associate proteins 1 light chain 3(LC3) increased significantly at the villus tip while mTOR decreased; phosphorylated-AKT (P-AKT) decreased. ER stress was involved and induced autophagy and apoptosis in rat intestinal damage following heat and shake stress. Bioinformatic analysis will help determine the underlying mechanisms in stress-induced damage in the small intestine.     

基于水文平衡的湿地退化驱动因子定量研究

作为地球上最为重要的生态系统类型之一,湿地与森林、海洋并称为地球三大生态系统。但是,近年来湿地生态系统退化速度远大于其他类型生态系统,开展湿地退化的定量评估分析研究对于湿地生态系统的保护和恢复具有重要意义。选择北京城市湿地为研究对象,利用卫星遥感数据分别提取得到1991年和2007年的湿地面积,基于湿地水量平衡理论和湿地水文方程方法,定量评估分析了导致湿地退化的原因和不同驱动因子的贡献率。结果表明:(1)与1991年相比,2007年北京湿地减少约6275.31 hm2,约占1991年北京湿地总面积的24.46%。显著退化区域主要发生在野鸭湖湿地和密云水库湿地,分别减少了约1377.69 hm2和4654.50 hm2。(2)引起湿地退化的自然驱动因子中,以降水减少、入境地表水减少和蒸发量增加为主,驱动湿地退化的贡献率分别为39.22%、14.05%和11.85%。引起湿地退化的人为驱动因子中,以城市扩展为主,驱动湿地退化的贡献率为3.42%,而技术进步所采取的节水措施等有利于湿地保护,贡献率为25.55%。     

Rice blast resistance gene Pikahei-1(t), a member of a resistance gene cluster on chromosome 4, encodes a nucleotide-binding site and leucine-rich repeat protein

Pikahei-1(t) is the strongest quantitative trait locus (QTL) for blast resistance in upland rice cv. Kahei, which has strong field resistance to the rice blast disease. A high-quality bacterial artificial chromosome library was used to fine-map Pikahei-1(t) within ~300 kb on the 31-Mb region on rice chromosome 4. Of the 42 predicted open reading frames, seven resistance gene analogs (RGAs) with the nucleotide-binding site and leucine-rich repeat (NBS-LRR) domain were identified. Among these, RGA1, 2, 3, 5, and 7, but not RGA4 and 6, were found to be expressed in Kahei and monogenic lines containing Pikahei-1(t). Blast inoculation of transgenic rice lines carrying the genomic fragment of each RGA revealed that only RGA3 was associated with blast resistance. On the basis of these results, we concluded that RGA3 is the Pikahei-1(t) and named it Pi63. Pi63 encoded a typical coiled-coil-NBS-LRR protein and showed isolate-specificity. These results suggest that Pi63 behaves like a typical Resistance (R) gene, and the strong and broad-spectrum resistance of Kahei is dependent on natural pyramiding of multiple QTLs. The blast resistance levels of Pi63 were closely correlated with its gene expression levels, indicating a dose-dependent response of Pi63 function in rice resistance. Pi63 is the first cloned R gene in the R gene cluster on rice chromosome 4, and its cloning might facilitate genomic dissection of this cluster region.