基于文本挖掘和生物医学数据库的新型冠状病毒肺炎药物发现

目的 基于文本挖掘技术和生物医学数据库对新型冠状病毒肺炎（COVID-19）相关文献进行数据挖掘分析，探究COVID-19及其主要症状发热、咳嗽、呼吸障碍相关基因靶点，筛选潜在有效的化学药和中药。方法 使用GenCLiP 3网站获取COVID-19和其主要症状咳嗽、发热、呼吸障碍共4个关键词的共有靶点，在METASCAPE数据库中对其进行基因本体（GO）和通路富集分析，再利用String数据库和Cytoscape软件构建共有靶点的蛋白质相互作用网络，筛选获得核心基因，运用DGIdb数据库、SymMap数据库针对核心基因进行中西医治疗药物预测。结果 获得COVID-19及其主要症状共有基因靶点28个，其中有IL2、IL1B、CCL2等核心基因16个，使用DGIdb数据库筛选获得与16个关键靶点相互作用的化学药包括沙利度胺、来氟米特、环孢素等28种，中药包括虎杖、黄芪、芦荟等70味。结论 COVID-19及其主要症状的病理机制可能和CD4、KNG1、VEGFA等28个共有基因相关，可能通过介导TNF、IL-17等信号通路参与COVID-19病理过程。潜在有效药物可能通过作用相关靶点通路起到治疗COVID-19的作用。     

Oncological and aesthetic outcome following surgical management of orbito-palpebral skin cancers: A retrospective study of 132 patients

BackgroundThe incidence of facial skin cancers continues to rise, with major studies on their impacts still lacking in the literature. This study reports on the oncological and aesthetic results following surgical management of an orbito-palpebral skin cancer.MethodsThis retrospective, monocentric study included patients treated for a non-melanoma skin cancer of the eyelid and orbit. Risk factors, location, histological type, invaded or insufficient margins, healing time, surgical management by excision and direct closure, skin graft or local flaps, self-evaluated aesthetics, and quality of life results were all compared.ResultsThe study included 132 patients operated for basal cell carcinoma (71.9%), squamous cell carcinoma (22.9%), or for another type (5.2%) between November 2011 and January 2017. Average tumor size was 9.6 ± 6.3 mm. Surgical management resulted in excision and open healing (9.1%), excision and direct closure (3.9%), skin graft (31.1%), local flap (21.9%), or another type of reconstruction (3.0%). Significant links between invaded or insufficient margins and basal cell type (OR = 3.37, p = 0.014), tumor size over 7 mm (OR = 2.7, p = 0.011), double location (OR = 8.44, p = 0.04), flap-based reconstruction (OR = 0.290, p = 0.02), and female gender (OR = 0.418, p = 0.034) were reported throughout our multivariate analysis.ConclusionsThis study brings out consequential information on factors linked with invaded or insufficient excision margins. Larger cohorts should evaluate the aesthetic outcomes in such a population.     

Computer-generated vegan menus: The importance of food composition database choice

Precise data on food chemical composition is crucial for any quantitative nutrition research and indispensable for evaluation and planning of computer-based menus. Moreover, exact food chemical composition is of the utmost importance in composing specific diets that may be low in certain essential nutrients. Therefore, this research evaluated a weekly vegan menu using three different food composition databases (FCDB): the Croatian, the official Danish Food Composition Database and the United States Department of Agriculture (USDA) – National Nutrient Database for Standard Reference. Significant differences (p < 0.05) were determined in evaluated and optimised offers for the same menu when using different FCDBs. Furthermore, in these menus quantities of some nutrients have not reached official daily recommendations needed for prevention of non-communicable diseases. In this research, new vegan menus that can provide adequate quantity of essential nutrients, regardless of FCDB utilized, were created with linear optimisation (LO). This resulted in high quality daily menu offers. However, depending on the FCDB that was used, optimal menus differed in daily meal combinations, and the effectiveness of the optimisation in the minimisation of differences caused by differences of data in FCDBs was tested. Linear optimisation has been proved to be an effective tool in planning of specific diets, such as vegan diets. Nonetheless, the quality of computer-planned menus depends heavily on the quality of FCDB used.     

Registries,Databases and Repositories for Developing Artificial Intelligence in Cancer Care

Modern artificial intelligence techniques have solved some previously intractable problems and produced impressive results in selected medical domains. One of their drawbacks is that they often need very large amounts of data. Pre-existing datasets in the form of national cancer registries, image/genetic depositories and clinical datasets already exist and have been used for research. In theory, the combination of healthcare Big Data with modern, data-hungry artificial intelligence techniques should offer significant opportunities for artificial intelligence development, but this has not yet happened. Here we discuss some of the structural reasons for this, barriers preventing artificial intelligence from making full use of existing datasets, and make suggestions as to enable progress. To do this, we use the framework of the 6Vs of Big Data and the FAIR criteria for data sharing and availability (Findability, Accessibility, Interoperability, and Reuse). We share our experience in navigating these barriers through The Brain Tumour Data Accelerator, a Brain Tumour Charity-supported initiative to integrate fragmented patient data into an enriched dataset. We conclude with some comments as to the limits of such approaches.     

基于TCGA数据初步探查肝内胆管癌预后相关基因

目的 分析tCGA数据库中肝内胆管癌（ICC）高通量测序数据，寻找其预后相关基因，构建风险模型，并研究其在ICC组织中表达及作用通路。方法 下载tCGA数据库中33例ICC组织和8例癌旁组织中的RNA-seq表达矩阵数据和患者临床资料信息，利用edgeR软件包进行基因差异表达分析，通过单因素Cox回归分析筛选出预后相关差异基因，对差异基因绘制生存曲线，筛选出具有临床意义的基因，经多因素Cox回归分析并构建风险模型，通过京都基因与基因组百科全书（KEGG）通路富集分析了解预后相关基因的作用通路。结果 通过edgeR分析后得到6 617个差异基因（筛选标准为|log2 Fold Change|＞1，P＜0.05），其中高表达组4 094个，低表达组2 523个。通过功能富集发现，这些基因主要集中在化学物致癌作用、药物代谢-细胞色素P450系统、细胞色素P450对异生物质的代谢影响以及视黄醇代谢通路。经单因素Cox回归、R软件“survival”包生存曲线分析显示，UCN2、CST1、PROS1、SLC35E4、PEMT五个基因对ICC患者预后存在显著性影响。通过多因素Cox回归分析，CST1、PEMT、PROS1构建的风险模型对ICC患者预后具有判断作用。结论 UCN2、CST1、PROS1、SLC35E4、PEMT基因可能成为ICC预后判断指标，为后续临床试验提供数据支持。     

一种防脱出易制作义眼台的研制

目的探讨一种新型简易防脱出的义眼台的制作方法与效果。方法根据眼球摘除后的解剖特点设计义眼台大小,选择聚甲基丙烯酸甲酯和涤纶布为材料制作复合材料义眼台,并对6只家兔行眼球摘除后置入义眼台,经HE染色观察及肉眼观察术后不同时间置入物与眼周围组织的解剖关系。结果聚甲基丙烯酸甲酯部分与组织无黏连,涤纶布形成牢固黏连,周围有纤维组织长入并包绕,义眼台无脱出、移位。结论以聚甲基丙烯酸甲酯和涤纶布为材料制作复合义眼台,方法简易,效果可靠,组织相容性好,术后反应轻,值得在临床上推广使用。     

常见眼眶病变的MRI诊断与鉴别诊断

目的：探讨眼眶病变的MRI诊断与鉴别诊断价值。方法：对29例经临床病理确诊的眼眶病变的病例进行回顾性分析，重点观察该类疾病的MRI表现。结果：眼眶病变29例，包括肿瘤10例。炎症10例，血管性病变3例，眼肌病变6例。其在MRI表现各具有影像学特征，眼眶肿瘤多表现为位于眼眶内、外的局限性软组织肿块，MR T1WI呈等或稍低信号，T2WI呈高或等信号多见；炎性假瘤则表现为眶内局限性软组织肿块或弥漫性异常信号．MR T1WI呈低信号，T2WI呈高信号，常伴有眼肌肥大或眼环增厚，泪腺肿大等。结论：MRI检查能显示眼眶病变的影像学特征，对其诊断及鉴别诊断具有重要价值。