脐带间充质干细胞与卵巢早衰中颗粒细胞交互作用的研究进展

卵巢早衰(premature ovarian failure,POF)是指女性在40岁之前出现的以卵巢功能过早衰竭(如月经稀发、闭经、不孕等)为主要临床表现的综合征[1]。雌激素水平低和不孕是对育龄妇女的两大威胁。近年来,癌症在育龄期女性中的发病率逐渐增加,虽然化疗可延长癌症患者生存时间,但也会出现一些副作用,其中化疗引起的POF越来越受到关注。有研究报道化疗药物主要通过损害卵巢颗粒细胞DNA及激活细胞凋亡通路等诱导颗粒细胞凋亡,继而引起卵泡闭锁,降低卵巢功能[2]。

军队院校大学计算机基础课程教学方式改革与探索

军队院校大学计算机基础课程新大纲要求的知识点多,知识模块跨度大,由于课时量和课程内容安排等方面的问题,在实际教学中理论与实践脱节的问题特别严重,在分析课程特点和现有教学方式存在问题的基础上,引入任务和项目驱动教学法,并阐述其具体的应用形式,力求实现课程理论与实践内容的对接。

右侧胸膜平滑肌瘤合并肺炎一例

平滑肌瘤可见于食管、胸内大血管及泌尿生殖道,偶尔见于胃肠道,很少见于呼吸道[1,2]。据统计,呼吸道原发性平滑肌瘤大约51%发生在肺实质,33%位于支气管内,16%位于气管水平[3]。在气管肿瘤中,平滑肌瘤占所有气管肿瘤的1%[4]。呼吸道平滑肌瘤并不常见,原发性胸膜平滑肌瘤更是少见。胸膜平滑肌瘤缺乏特异性,易误诊和漏诊,目前相关的文献报道不多。现就延安大学附属医院收治的确诊为右侧胸膜平滑肌瘤合并肺炎患者1例,报道如下。

影响慢性鼻-鼻窦炎伴鼻息肉术后复发的危险因素Logistic回归分析

目的分析慢性鼻-鼻窦炎伴鼻息肉(CRSwNP)术后复发的危险因素。方法回顾性分析86例CRSwNP患者的临床资料,根据是否复发将患者分为A组(复发,29例)与B组(未复发,57例)。分析复发的危险因素。结果 A组抽烟、变应性鼻炎、支气管哮喘、鼻中隔偏曲、OMC评分2分、流涕评分>5分、Lund-Mackay评分>10分、外周血Eos占比>5.3%、外周血Neu占比<55.5%的患者构成比均高于B组(P<0.05),多因素Logistic回归分析显示上述指标均为影响CRSwNP术后复发的独立危险因素(P<0.05)。结论抽烟、变应性鼻炎、支气管哮喘、鼻中隔偏曲、OMC评分2分、流涕评分>5分、Lund-Mackay>10分、外周血Eos占比>5.3%、外周血Neu占比<55.5%为影响CRSwNP患者术后复发的独立危险因素,临床应针对相应因素给予患者适当干预。

Thermodynamics of Ion Pair of Magnesium Sulfate in Mixed Solvent

Introduction Magnesium sulfate is an archetypal 2-2 salt that plays a central role in defining the characteristics of higher valent electrolyte solutions and its solution has been widely used to test various theories of strong electrolyte behavior and to develop models of ion association in solution. Up to now, the ion pairs of magnesium sulfate in an aqueous solution have been widely investigated by using different experimental techniques, such as conductometry , cryoscopy potentiometry solubility and Raman spectrometry. However, to our knowledge, no measurement of the standard association constant of the ion pairs, [ MgSO4 ]^0 in a glucosewater mixed solvent is available.

论线性结构在网络化学习中的存在价值

计算机的出现使得教学媒体有了传统教学媒体和现代教学媒体之分,而作为现代教学媒体之一的万维网又是线性结构向全网站式结构转变的折点。万维网出现之前,大多数计算机辅助教学东西的结构(如CAI等)都是线性的。万维网出现之后,其完美的超链接能力在教学领域得到了广泛应用,各种全网站式结构的计算机辅助教学形式大量涌现,那么是不是线性结构在网络化学习中已没有存在的价值,文章对此问题进行了讨论。

Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifing biomarkers of endometriosis

Background Endometriosis is a common gynecological disease. This study aimed to screen proteins that were expressed differently in patients with endometriosis versus normal controls using proteomic techniques, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF-MS）.Methods Protein chip SELDI-TOF-MS combines the advantages of microarray and mass spectrometry, and can screen latent markers in sera of patients with endometriosis. Serum samples from patients and normal volunteers were analyzed by SELDI-TOF-MS. Results After comparing the serum protein spectra of 36 patients with 24 normal controls, 24 differently expressed potential biomarkers （P 〈0.01） were identified. Using Biomarker Pattern software, we established a tree model of the 60 serum protein spectra. When using the three bJomarkers to classify the samples, the sensitivity for diagnosing endometriosis was 91.7%, specificity was 95.8%, and coincidence rate was 93.3%. Then we used serum samples from 12 patients and 8 normal controls to validate the tree model and report the sensitivity for diagnosing endometriosis was 91.7%, specificity was 75%, and coincidence rate was 85%. Conclusions SELDI-TOF-MS may be a useful tool in high-risk population screening for endometriosis. The identification and application of the biomarkers need to further study.

Screening for genes associated with ovarian cancer prognosis

Background Human epithelial ovarian cancer cell line SKOV3.ipl is more invasive and metastatic compared with its parental line SKOV3. A total of 17 000 human genome complementary DNA microarrays were used to compare the gene expression patterns of the two cell lines. Based on this, the gene expression profiles of 22 patients with ovarian cancer were analyzed by cDNA microarray, and screened the 2-fold differentially expressed genes compared with the normal ones. We screened genes relevant to clinical prognosis of serous ovarian cancer by determining the expression profiles of ovarian cancer genes to investigate cell receptor and immunity-associated genes, and as groundwork, identify ovarian cancer-associated antigens at the gene level. Methods Total RNA was extracted from 22 patients with ovarian cancer and DNA microarrays were prepared. After scanning, hybridization signals were collected and the genes that were differentially expressed twice as compared with the normal ones were screened. Results We screened 236 genes relevant to the prognosis of ovarian cancer from the 17 000 human genome cDNA microarrays. According to gene classification, 48 of the 236 genes were cell receptor or immunity-associated genes, including 2 genes related to the International Federation of Gynecology and Obstetrics （FIGO） stage, 4 genes to histological grade, 18 genes to lymph node metastasis, 11 genes to residual disease, and 13 genes to the reactivity to chemotherapy. Several functionally important genes including fibronectin 1, pericentriolar material 1, beta-2-microglobulin, PPAR binding protein were identified through review of the literature. Conclusions The cDNA microarray of ovarian cancer genes developed in this study was effective and high throughput in screening the ovarian cancer-associated genes differentially expressed. Through the studies of the cell receptor and immunity-associated genes we expect to identify the molecular biology index of ovarian cancer-associated antigens.

新型冠状病毒感染肺炎注册药物临床研究分析

目的:对新型冠状病毒感染肺炎(COVID-19)注册药物临床研究进行归纳分析。方法:检索在中国临床试验注册中心(chictr.org.cn)和美国临床试验注册网站(clinicaltrials.gov)上注册的在中国开展的COVID-19药物临床研究,对开展地点、研究设计、涉及药物等进行分析。检索时间截至2020年3月31日。结果:共检索到247项研究。武汉同济医院,武汉中南医院和武汉协和医院作为组长单位或研究中心参加临床研究数量最多。随机平行对照研究最多,有171项,占69.23%。涉及药物包括化学药物、生物制剂、中草药和中成药、细胞制品和血浆制品、疫苗等。结论:中国的临床研究意识以及临床研究注册意识得到了很大的提升,但疫情期间发起的药物临床研究需要关注科学性和伦理学等问题,要合理配置和整合资源。期待中国的高质量的COVID-19药物临床研究能率先为世界人民找到有效、安全、经济的新药。