弥漫型大B细胞淋巴瘤EZH2、XIAP和Survivin蛋白表达水平及意义

目的探讨弥漫型大B细胞淋巴瘤Zeste同源物增强子2(EZH2)、X连锁凋亡抑制蛋白(XIAP)和生存素(Survivin)蛋白表达水平及意义。方法选取弥漫型大B细胞淋巴瘤组织92例作为观察组,同时选取反应性增生淋巴结组织50例作为对照组,采用免疫组化染色法检测EZH2、XIAP和Survivin蛋白表达。结果观察组EZH2、XIAP和Survivin蛋白阳性表达率分别为77.17%、55.43%和60.87%,明显高于对照组(P<0.05)。观察组临床分期Ⅲ~Ⅳ期EZH2、XIAP和Survivin蛋白表达阳性率分别为90.70%、86.05%和81.40%,明显高于临床分期Ⅰ~Ⅱ期(P<0.05);EZH2与XIAP、Survivin蛋白表达呈正相关(γ=0.547、0.360,P均<0.05),XIAP与Survivin蛋白表达呈正相关(γ=0.581,P<0.05)。结论弥漫型大B细胞淋巴瘤EZH2、XIAP和Survivin蛋白表达水平上调,与临床分期有一定关系,三者间存在相关关系。     

香萱益神方对血管性痴呆模型大鼠神经元凋亡机制研究

目的:探讨香萱益神方治疗血管性痴呆(VD)模型大鼠认知功能作用及其对神经元凋亡机制的研究。方法:两血管阻断法建立VD大鼠模型,给予中药方香萱益神方灌胃治疗6周,分别于造模后、中药喂养6周后进行Morris水迷宫行为学检测,测试大鼠认知行为能力改变,行为学测试结束后,检测VD模型大鼠海马中海马组织脑源性神经营养因子(BDNF)表达水平的变化。结果:香萱益神方治疗6周后,血管性痴呆大鼠模型学习记忆能力得到改善,上调脑内海马组织神经营养因子水平,海马神经元凋亡率下降。结论:香萱益神方是治疗血管性痴呆的有效方剂,可以有效改善VD大鼠模型认知行为功能的障碍情况,起到减少海马神经元细胞凋亡,诱导海马神经元细胞修复的作用。香萱益神方可能是通过激活BDNF相关通路,起到保护海马神经元的作用。     

异牡荆素对非小细胞性肺癌细胞自我更新和凋亡的影响

目的研究异牡荆素(ISO)对非小细胞性肺癌(NSCLC)细胞的影响和潜在的机制。方法将A549和H1650细胞分别分为空白组、低剂量实验组(4μmol·L^-1 ISO)和高剂量实验组(16μmol·L^-1 ISO)。用噻唑蓝法检测NSCLC细胞活性,用肿瘤球形成实验检测NSCLC细胞的细胞球形成率,用Western blot法检测NSCLC细胞凋亡、自我更新、无翅型MMTV整合位点家族/β-连环蛋白(Wnt/β-catenin)信号通路相关蛋白的表达水平。结果与空白组比较,低、高剂量实验组中A549和H1650细胞在24,48和72 h的细胞活性均显著降低。低、高剂量实验组和空白组中A549细胞的细胞球形成率分别为(4.18±0.45)%,(2.01±0.67)%和(6.02±0.57)%,切割的半胱氨酸蛋白酶-3相对表达量分别为0.24±0.08,1.25±0.13和0.06±0.07,SRY相关高迁移率族盒蛋白-2相对表达量分别为0.49±0.04,0.25±0.03和1.00±0.09,Kruppel样因子4相对表达量分别为0.68±0.04,0.44±0.03和1.01±0.06,Wnt1相对表达量分别为0.63±0.06,0.28±0.04和1.00±0.06,β-catenin相对表达量分别为0.41±0.05,0.22±0.03和1.01±0.09;与空白组比较,低、高剂量实验组中A549细胞的上述指标的差异均有统计学意义(P<0.05,P<0.01)。上述3组中H1650细胞的上述指标也呈现一致的现象。结论ISO可能通过抑制Wnt/β-catenin信号通路来抑制NSCLC细胞活性和自我更新,并促进其凋亡。     

Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach

PurposeTo show that a deep learning (DL)–based, automated model for Lipiodol (Guerbet Pharmaceuticals, Paris, France) segmentation on cone-beam computed tomography (CT) after conventional transarterial chemoembolization performs closer to the “ground truth segmentation” than a conventional thresholding-based model.Materials and MethodsThis post hoc analysis included 36 patients with a diagnosis of hepatocellular carcinoma or other solid liver tumors who underwent conventional transarterial chemoembolization with an intraprocedural cone-beam CT. Semiautomatic segmentation of Lipiodol was obtained. Subsequently, a convolutional U-net model was used to output a binary mask that predicted Lipiodol deposition. A threshold value of signal intensity on cone-beam CT was used to obtain a Lipiodol mask for comparison. The dice similarity coefficient (DSC), mean squared error (MSE), center of mass (CM), and fractional volume ratios for both masks were obtained by comparing them to the ground truth (radiologist-segmented Lipiodol deposits) to obtain accuracy metrics for the 2 masks. These results were used to compare the model versus the threshold technique.ResultsFor all metrics, the U-net outperformed the threshold technique: DSC (0.65 ± 0.17 vs 0.45 ± 0.22, P < .001) and MSE (125.53 ± 107.36 vs 185.98 ± 93.82, P = .005). The difference between the CM predicted and the actual CM was 15.31 mm ± 14.63 versus 31.34 mm ± 30.24 (P < .001), with lesser distance indicating higher accuracy. The fraction of volume present ([predicted Lipiodol volume]/[ground truth Lipiodol volume]) was 1.22 ± 0.84 versus 2.58 ± 3.52 (P = .048) for the current model’s prediction and threshold technique, respectively.ConclusionsThis study showed that a DL framework could detect Lipiodol in cone-beam CT imaging and was capable of outperforming the conventionally used thresholding technique over several metrics. Further optimization will allow for more accurate, quantitative predictions of Lipiodol depositions intraprocedurally.     

Frame Invariance and Scalability of Neural Operators for Partial Differential Equations

Partial differential equations (PDEs) play a dominant role in the mathematical modeling of many complex dynamical processes. Solving these PDEs often requires prohibitively high computational costs, especially when multiple evaluations must be made for different parameters or conditions. After training, neural operators can provide PDEs solutions significantly faster than traditional PDE solvers. In this work, invariance properties and computational complexity of two neural operators are examined for transport PDE of a scalar quantity. Neural operator based on graph kernel network (GKN) operates on graph-structured data to incorporate nonlocal dependencies. Here we propose a modified formulation of GKN to achieve frame invariance. Vector cloud neural network (VCNN) is an alternate neural operator with embedded frame invariance which operates on point cloud data. GKN-based neural operator demonstrates slightly better predictive performance compared to VCNN. However, GKN requires an excessively high computational cost that increases quadratically with the increasing number of discretized objects as compared to a linear increase for VCNN.     

Protective mechanism of Wnt4 gene on Parkinson’s disease (PD) transgenic Drosophila

Objective: The main pathological change of Parkinson’s disease (PD) is progressive degeneration and necrosis of dopaminergic neurons in the midbrain, forming a Lewy body in many of the remaining neurons. Studies have found that in transgenic Drosophila, mutations in the PTEN-inducible kinase 1 (PINK1) gene may cause indirect flight muscle defects in Drosophila, and mitochondrial structural dysfunction as well.

Methods: In this study, Wnt4 gene overexpression and knockdown were performed in PINK1 mutant PD transgenic Drosophila, and the protective effect of Wnt4 gene on PD transgenic Drosophila and its possible mechanism were explored. The Wnt4 gene was screened in the previous experiment; And by using the PD transgenic Drosophila model of the MHC-Gal4/UAS system, the PINK1 gene could be specifically activated in the Drosophila muscle tissue.

Results: In PINK1 mutation transgenic fruit flies, the Wnt4 gene to study its implication on PD transgenic fruit flies’ wing normality and flight ability. We found that overexpression of Wnt4 gene significantly reduced abnormality rate of PD transgenic Drosophila and improved its flight ability, and then, increased ATP concentration, enhanced mitochondrial membrane potential and normalized mitochondrial morphology were found. All of these findings suggested Wnt4 gene may have a protective effect on PD transgenic fruit flies. Furthermore, in Wnt4 gene overexpression PD transgenic Drosophila, down-regulation autophagy and apoptosis-related proteins Ref(2)P, Pro-Caspase3, and up-regulation of Beclin1, Atg8a, Bcl2 protein were confirmed by Western Blotting.

Conclusion: The results imply that the restoring of mitochondrial function though Wnt4 gene overexpression in the PINK1 mutant transgenic Drosophila may be related to autophagy and/or apoptosis.     

呫吨酮并吡啶衍生物XP-15联合紫杉醇对耐药肝癌细胞QGY-7701 的体外抑制作用

目的:探索呫吨酮并吡啶衍生物XP-15联合紫杉醇对人肝癌QGY-7701耐药细胞株的体外抗肿瘤作用。方法:运用CCK8法、Transwell实验和流式细胞仪检测凋亡技术观察细胞功能学变化，运用Western Blot蛋白免疫印迹技术探索其可能的作用机制。结果:XP-15可明显增强紫杉醇对耐药QGY-7701细胞的抑制作用，XP-15联合紫杉醇作用于耐药QGY-7701细胞24 h后，QGY-7701细胞活力明显减弱，且其侵袭迁移能力明显降低，同时流式细胞仪凋亡检测提示细胞凋亡百分比明显增加。Western Blot蛋白免疫印迹亦证实细胞抗凋亡蛋白bcl-2表达明显降低，肝癌增殖分化相关PI3K及AKT蛋白分子表达减少。结论:XP-15具有增敏紫杉醇诱导耐药QGY-7701细胞凋亡同时抑制其增殖活力的作用，其作用机制可能与下调PI3K-AKT通路活性，同时减少bcl-2抑制凋亡蛋白表达相关。     

lncRNA-LINC00473在胃癌组织中的表达及临床意义

目的:分析LINC00473在胃癌中的表达情况、临床意义及对人胃癌细胞增殖水平的影响。方法:利用癌症基因组图谱(TCGA)数据库下载胃腺癌相关数据集，分析肿瘤组织与正常组织之间LINC00473的表达差异；利用 Kaplan-Meier 曲线进行患者生存分析；MTT方法检测胃癌细胞增殖水平、流式细胞术检测凋亡率的改变。结果:与癌旁组织比较，LINC00473在胃癌组织中的表达明显增加，差异具有统计学意义（P＜0.05）；生存分析发现，LINC00473表达与胃癌患者OS和DFS时间相关，LINC00473高表达的胃癌患者，OS和DFS时间明显缩短（P＜0.05）。转染LINC00473 siRNA至胃癌细胞后，结果发现与阴性质粒转染组比较:转染siRNA-LINC00473的胃癌细胞，LINC00473 表达明显降低；LINC00473表达下调后细胞增殖水平减慢，凋亡率增加。结论:LINC00473是一个新的胃癌生物标记物，可作为潜在的治疗新靶点。