Breast cancer is a malignant tumor with the highest morbidity and mortality in female in recent years, and it is a complex disease that affects human health. Studies have shown that dynamic network biomarkers (DNB) can effectively identify critical states at which complex diseases such as breast cancer change from a normal state to a disease state. However, the traditional DNB method requires data from multiple samples in the same disease state, which is usually unachievable in clinical diagnosis. This paper quantitatively analyzes the time series data of MCF-7 breast cancer cells and finds the DNB module of a single sample in the time series based on landscape DNB (L-DNB) method. Then, a comprehensive index is constructed to detect its early warning signals to determine the critical state of breast cancer cell differentiation. The results of this study may be of great significance for the prevention and early diagnosis of breast cancer. It is expected that this paper can provide references for the related research of breast cancer.
Using modular identification methods in gene-drug multiplex networks to infer new gene-drug associations can identify new therapeutic target genes for known drugs. In this paper, based on the gene expression data and drug response data of lung cancer in the genomics of drug sensitivity in cancer (GDSC) database, a multiple network algorithm is proposed. First, a heterogeneous network of genes of lung cancer and drugs in different cell lines is constructed, and then a network module identification method based on graph entropy is used. In this heterogeneous network, network modules are identified, and five lung cancer gene-drug association modules are identified through iterative convergence. Compared with other methods, the algorithm has better results in terms of running time, accuracy and robustness, and the identified modules have obvious biological significance. The research results in this article have guiding significance for the medication and treatment of lung cancer, and can provide references for the treatment of other diseases with the same targeted genes.
Due to the high dimensionality and complexity of the data, the analysis of spatial transcriptome data has been a challenging problem. Meanwhile, cluster analysis is the core issue of the analysis of spatial transcriptome data. In this article, a deep learning approach is proposed based on graph attention networks for clustering analysis of spatial transcriptome data. Our method first enhances the spatial transcriptome data, then uses graph attention networks to extract features from nodes, and finally uses the Leiden algorithm for clustering analysis. Compared with the traditional non-spatial and spatial clustering methods, our method has better performance in data analysis through the clustering evaluation index. The experimental results show that the proposed method can effectively cluster spatial transcriptome data and identify different spatial domains, which provides a new tool for studying spatial transcriptome data.
【摘要】 目的 探讨血尿酸水平、颈动脉斑块与冠心病之间的关系。 方法 收集2006年1月-2009年12月拟诊为冠心病的住院患者280例,冠状动脉造影检查冠状动脉狭窄程度gt;50%的194例为冠心病组,冠状动脉无狭窄或狭窄程度lt;50%的86例为对照组;冠心病组又分为单支、双支、多支病变亚组。分别测定冠心病组与对照组颈总动脉与颈动脉分叉处内膜中层厚度(IMT)、等级评分、Crouse积分、血尿酸浓度。结果 与对照组相比,冠心病组颈总动脉与颈动脉分叉处IMT、等级评分、Crouse积分、血尿酸浓度均高于对照组,差异有统计学意义。在冠心病组,随病变分支的增多,颈动脉超声检查指标与血尿酸随之升高(Plt;0.05或0.01)。 结论 颈动脉IMT、等级评分、Crouse积分、血尿酸浓度与冠心病相关,是冠心病的独立危险因素。【Abstract】 Objective To investigate the relationships between serum uric acid levels, carotid artery plaque and coronary heart disease (CHD). Methods 194 patients with CHD and 86 nonCHD patients were selected through coronary angiography in patients with essential hypertension. CHD group was divided into three subgroups including a single branch, doublebranch and multivessel disease. Intimamedia thickness (IMT) of carotid artery and carotid bifurcation, grade score, Crouse score, serum uric acid concentrations were detected in patients with coronary heart disease and control group. Results IMT of carotid artery and carotid bifurcation, grade score,crouse score, serum uric acid concentrations were higher in CHD group than that in control group, and the difference was statistically significant. In the CHD group, ultrasound parameters of carotid artery and serum uric acid increased with the increase in branch lesions (Plt;005 or 001). Conclusions Carotid IMT, grade score, Crouse score, serum uric acid concentration relate to coronary heart disease, which is an independent risk factor for coronary heart disease, respectively.
Objective To observe the features of frequency domain optical coherence tomography (FD-OCT) in acute central serous chorioretinopathy (CSC). Methods The data of FD-OCT and fundus fluorescein angiography (FFA) of 31 patients with unilateral acute CSC were retrospectively analyzed. The FD-OCT of retinal pigment epithelial (RPE) layer at leakage points, retinal detachment area and RPE layer in the fellow eyes was documented. Results Thirty-four leakage points were detected in 31 eyes on FFA. At the sites of fluorescein leakage, FD-OCT showed that serous pigment epithelial detachment (PED) in 18 leakage points (52.9%) and 17 eyes (54.8%), a small RPE protrusion in 8 leakage points (23.5%) and 8 eyes (25.8%), RPE irregularity in 6 leakage points (17.6%) and 4 eyes (12.9%) and no detectable RPE abnormality in 2 leakage points (5.9%) and 2 eyes (6.5%). An RPE defect at the edge of or within the PED was found in 7 leakage points (20.6%) and 7 eyes (22.6%). Serous retinal detachment and interruption or complete disappearance of the hyperreflective inner/outer segment junction (IS/OS) were detected in all diseased eyes. Uneven thickness of the outer segments (OS) was found in 24 eyes (77.4%), 14 of which had sagging sign. Flaking of the OS was found in 10 eyes (32.3%), multiple hyperreflective dots on the posterior surface of the detached neurosensory retina and on the surface of the RPE were found in 8 eyes (25.8%). Among 31 fellow eyes, FD-OCT also showed RPE abnormalities in 11 eyes (35.5%), in which PED, RPE protrusion and RPE irregularity were detected in 2 (6.5%), 1 (3.2%) and 8 eyes (25.8%), respectively. Conclusions In acute CSC the FD-OCT images at leakage points of are featured by PED, RPE protrusion, RPE irregularity and no detectable RPE abnormality; in retinal detachment area FD-OCT are featured by serous retinal detachment, interruption or disappearance of IS/OS, uneven thickness of OS, flaking of OS and hyper-reflective dots on the posterior surface of the detached neurosensory retina and on the surface of the RPE.
ObjectiveTo compare the efficacy of percutaneous closure guided by transthoracic echocardiography or angiography in the treatment of patent ductus arteriosus (PDA).MethodsLiterature databases such as CNKI, VIP, Wanfang Database, PubMed, Cochrane Library were searched for collecting published literatures on percutaneous closure for PDA guided by transthoracic echocardiography and angiography, retrieval time limit was up to April 2019. Two evaluators independently screened the literature, extracted the data and evaluated the quality according to inclusion and exclusion criteria. The collected data were analyzed by RevMan 5.3 software.ResultsEight studies were included finally, with a total sample size of 681 cases. Meta-analysis showed that there was no statistical difference in the operative success rate between the echocardiography group and the angiography group (RR=0.99, 95%CI 0.97- 1.01, P=0.40). Postoperative complications were less in the echocardiography group than those in the angiography group (RR=0.26, 95%CI 0.11-0.59, P=0.001).The operation time (P<0.000 01), amount of intraoperative radiation (P<0.000 01), exposure time (P<0.000 01), hospitalization days (P<0.000 01) and hospitalization costs (P<0.000 01) in the echocardiography group were less or shorter than those in the angiography group, and the difference was statistically different.ConclusionCompared with angiography-guided, transthoracic echocardiography-guided percutaneous closure for PDA is a safe and effective method with less trauma, lower cost, and can replace angiography as one of the guiding methods for PDA.