Simulated Microgravity Inhibits the Proliferation of Chang Liver Cells by Attenuation of the Major Cell Cycle Regulators and Cytoskeletal Proteins

Simulated microgravity (SMG) induced the changes in cell proliferation and cytoskeleton organization, which plays an important factor in various cellular processes. The inhibition in cell cycle progression has been considered to be one of the main causes of proliferation inhibition in cells under SMG, but their mechanisms are still not fully understood. This study aimed to evaluate the effects of SMG on the proliferative ability and cytoskeleton changes of Chang Liver Cells (CCL-13). CCL-13 cells were induced SMG by 3D clinostat for 72 h, while the control group were treated in normal gravity at the same time. The results showed that SMG reduced CCL-13 cell proliferation by an increase in the number of CCL-13 cells in G0/G1 phase. This cell cycle phase arrest of CCL-13 cells was due to a downregulation of cell cycle-related proteins, such as cyclin A1 and A2, cyclin D1, and cyclin-dependent kinase 6 (Cdk6). SMG-exposed CCL-13 cells also exhibited a downregulation of α-tubulin 3 and β-actin which induced the cytoskeleton reorganization. These results suggested that the inhibited proliferation of SMG-exposed CCL-13 cells could be associate with the attenuation of major cell cycle regulators and main cytoskeletal proteins.     

医学肝脏图像Gabor小波纹理特征研究

针对肝脏图像自身特点,研究了Gabor小波纹理特征在医学肝脏图像识别中的意义,提出一种基于Gabor小波纹理特征的医学肝脏图像识别方法.实验表明:引进Gabor小波纹理特征能较好地实现医学肝脏图像识别问题;与其它典型图像识别方法对比结果验证,新方法可以取得更高的识别率.     

Stacked Gated Recurrent Unit Classifier with CT Images for Liver Cancer Classification

Liver cancer is one of the major diseases with increased mortality in recent years, across the globe. Manual detection of liver cancer is a tedious and laborious task due to which Computer Aided Diagnosis (CAD) models have been developed to detect the presence of liver cancer accurately and classify its stages. Besides, liver cancer segmentation outcome, using medical images, is employed in the assessment of tumor volume, further treatment plans, and response monitoring. Hence, there is a need exists to develop automated tools for liver cancer detection in a precise manner. With this motivation, the current study introduces an Intelligent Artificial Intelligence with Equilibrium Optimizer based Liver cancer Classification (IAIEO-LCC) model. The proposed IAIEO-LCC technique initially performs Median Filtering (MF)-based pre-processing and data augmentation process. Besides, Kapur’s entropy-based segmentation technique is used to identify the affected regions in liver. Moreover, VGG-19 based feature extractor and Equilibrium Optimizer (EO)-based hyperparameter tuning processes are also involved to derive the feature vectors. At last, Stacked Gated Recurrent Unit (SGRU) classifier is exploited to detect and classify the liver cancer effectively. In order to demonstrate the superiority of the proposed IAIEO-LCC technique in terms of performance, a wide range of simulations was conducted and the results were inspected under different measures. The comparison study results infer that the proposed IAIEO-LCC technique achieved an improved accuracy of 98.52%.     

Comparison of electrothermal and hydride generation atomic absorption spectrometry for the determination of total arsenic in broiler chicken

The purpose of this study was to estimate total arsenic concentration in different tissues (leg, breast, liver and heart) of broiler chicken by hydride generation atomic absorption spectrometry (HGAAS) and graphite furnace atomic absorption spectrometry (GFAAS), prior to microwave assisted acid digestion. The accuracy of the techniques was evaluated by using certified reference material DORM-2. The percentage recoveries of total As were observed as 100.6% and 99.4% for HGAAS and GFAAS, respectively. The precision of the techniques, expressed as relative standard deviation, was observed as 1.71% and 4.18% for HGAAS and GFAAS measurements, respectively. The limits of detection for HGAAS and GFAAS were 0.025 μg/g and 0.052 μg/g, respectively. The concentrations of total arsenic in different tissues of broiler chicken were found in the range of 2.19–5.28, 2.15–5.22, 2.97–7.17 and 2.68–6.36 μg/g for leg, breast, liver and heart tissues, respectively. At a mean level of chicken consumption (60 g/person/day), people may ingest in the range of 72.0–85.1 μg arsenic/person/day from chicken alone.     

奥曲肽和垂体后叶素在救治肝硬化上消化道出血的疗效比较

目的 探讨奥曲肽和垂体后叶素在救治肝硬化上消化道出血的疗效差异。方法 选择我院2008年12月至2010年12月肝硬化上消化道出血患者90例,将上述患者随机分为2组,观察组和对照组。2组均给予基础治疗。观察组给予奥曲肽,对照组给予垂体后叶素。观察2组患者止血和不良反应发生情况。结果 观察组有效率为95.6%,对照组有效率为77.8%,2组总有效率比较,差异有统计学意义(P<0.05);观察组不良反应率与对照组比较,差异有统计学意义(P<0.05)。结论 奥曲肽治疗肝硬化上消化道出血临床效果显著,不良反应少,值得借鉴。     

高风险肝癌经皮热消融治疗中的辅助技术

随着医疗设备的发展和技术的进步,经皮热消融已成为肝癌治疗领域不可或缺的重要手段,超声是最常用的热消融引导技术,在因多种不利因素导致常规超声显示不清肝癌病灶或病灶位于极易引起严重并发症的危险部位时,经皮热消融在肝癌治疗中的应用范围受到限制。近年来一些新的辅助技术被用于克服这些高风险或困难因素,已取得了良好疗效,扩大了热消融在肝癌治疗中的适应症。本文就近年来在超声引导下对高风险肝癌进行经皮热消融治疗时所使用的辅助技术进行综述。