1.Application of Interest Teaching Method in Programming Course in Medical Colleges and Universities
Yan TANG ; Ping WANG ; Aiqing HAN ; Weiwei ZHANG
Journal of Medical Informatics 2015;(6):93-95
〔Abstract〕 Based on elaborating the problems existed in traditional programming course, taking Beijing University of Chinese Medi-cine as an example, the paper puts forward interest teaching method, carries out comprehensive teaching reform from preparing lessons, classes, after-school three aspects, points out the key problems in implementation.Practice shows that this mode could stimulate students′learning interest and initiative and achieve good results.
2.Bibliometrics Analysis on Domestic TCM Systems Biology Research
Xing ZHAI ; Aiqing HAN ; Wenting ZHANG ; Guoyong CHEN
Chinese Journal of Information on Traditional Chinese Medicine 2014;(4):13-16
Objective To investigate the research status of domestic TCM systems biology in recent ten years, and provide reference for further research. Methods TCM systems biology literatures published in domestic journal were retrieved and screened. The data were analyzed from the annual distribution, regional distribution, research institutions, source journals, research fields, and so on. Results The total literature of TCM systems biology showed an increasing tendency. The research mainly distributed in TCM chemical matteromics, TCM genomics, TCM proteomics, TCM metabolomics, and TCM informatics. Beijing, Guangdong and Shanghai were in the leading position. Conclusion The development trend of domestic study on TCM systems biology is rising year by year, and the understanding of the subject is continuously improving.
3.Application of task-driven plus flipped classroom teaching in programming course
Yan TANG ; Aiqing HAN ; Qing DU ; Li WANG
Chinese Journal of Medical Library and Information Science 2017;26(2):63-66,70
The teaching method, teaching process and teaching model of programming course were reformed in Beijing University of Traditional Chinese Medicine by combining task-driven and flipped classroom teaching con-cept with BB network platform to provide a free and open environment for students in order to train their capability of analyzing and solving problems and the skills of independent learning and life-long learning. Good results were achieved in two rounds of task-driven plus flipped classroom teaching, which are of significance for the teaching model and teaching structure reform of other courses.
4.Human urate transporter 1 promoter polymorphisms and hyperuricemia in Chinese Han people
Lin HAN ; Qing YU ; Dongming HU ; Teng ZHOU ; Aiqing ZHANG ; Changgu LI
Chinese Journal of Endocrinology and Metabolism 2012;28(1):36-39
ObjectiveTo analyze the association of human urate transporter 1 ( hURAT1 ) gene promoter single-nucleotide polymorphisms(SNPs) with primary hyperuricemia ( HUA ) in Chinese Han people.MethodsA total of 215 patients with HUA and 323 healthy subjects were chosen to be investigated of SNP of hURAT1 promoter by PCR and sequencing.ResultsFive SNPs were identified,including-454A/T,-434T/C,-382C/T,-87C/T,and + 118G/A.Pairwise linkage disequilibrium analysis displayed a high linkage disequilibrium between the five SNPs ( r2 =0.99).In HUA group,the heterozygous genotypos ( AT,CT,CT,CT,AG ) frequencies were significantly lower than those in control group ( P<0.05 ).Logistic regression analysis showed that the heterozygosis genotypes ( AT,CT,CT,CT,AG) were protective factors of HUA ( OR 0.68-0.75 ).The minor allele ( T,C,T,T,A ) frequencies for both SNPs were significantly different between two groups ( P =0.022,P =0.038 ).ConclusionThese findings indicate that -454A/T,-434T/C,-382C/T,-87C/T,and + 118G/A SNPs of hURAT1 gene promoter area are associated with HUA in Chinese Han population.
5. Streptococcal toxic shock syndrome in third trimester: a report of two cases and literature review
Qiuhong YANG ; Min SONG ; Qian SUN ; Xiang WANG ; Aiqing HAN ; Ruiqin SHAN
Chinese Journal of Perinatal Medicine 2019;22(12):872-877
Objective:
To analyze the clinical characteristics of streptococcal toxic shock syndrome (STSS) caused by
6.Construction of a hypoglycemia prediction model for older adults with type 2 diabetes based on random forest algorithm
Ruiting ZHANG ; Yu LIU ; Aiqing HAN ; Quanying WU ; Jing WANG ; Jingyi LIU ; Xiaoyan BAI
Chinese Journal of Practical Nursing 2023;39(23):1829-1835
Objective:To construct a hypoglycemia random forest prediction model for older adults with type 2 diabetes, and assess the model′s prognostication performance through internal and external verification.Methods:From August 2022 to January 2023, 300 older adults with type 2 diabetes in Beijing Hospital were selected. The demographic characteristics, medical history, laboratory tests, and other data of the patients were collected, and the data set was randomly divided into the training set and verification set in a ratio of 7∶3. The hypoglycemia prediction model for older adults with type 2 diabetes was constructed and optimized based on the random forest algorithm. The calibration curve was used to evaluate the model′s calibration, and the ROC was used to evaluate the model′s discrimination. The clinical applicability of the model was assessed by the decision curve analysis. The risk factors for hypoglycemia in the older adults were explored by prioritizing the contributions of variables in prediction. The Bootstrap method was used for internal validation, and the validation set was used for external validation.Results:Among the 300 older adults with type 2 diabetes, 128 cases (42.67%) experienced hypoglycemia within one week. The predictive contributions of risk factors in the model were ranked as follows: the number of episodes of hypoglycemia in one month, HDL-C, heart disease, diabetes knowledge and education, combination therapy, age, duration of diabetes, staple food restriction, glycosylated hemoglobin, and gender. The internal and external calibration curves of the hypoglycemia random forest model for the older adults with type 2 diabetes fluctuated around the diagonal, indicating that the calibration degree of the predictive model is good. The AUROC of internal verification was 0.823 (95% CI 0.752-0.894), the sensitivity and specificity were 0.867 and 0.698, respectively. The external verification was 0.859 (95% CI 0.817 - 0.902), and sensitivity and specificity were 0.789 and 0.804, respectively, showing that the overall discrimination of the prediction model was good. The DCA curves were far from the all-positive line and all-negative line, which indicated that the prediction model had good clinical applicability. Conclusions:The predictive effect of this model is good, and it is suitable for predicting the risk of hypoglycemia in older adults with type 2 diabetes, and it provides a reference for early hypoglycemia screening and predictive intervention for this kind of patients.
7.Potential Antitumor Activity of SIM-89 in Non-Small Cell Lung Cancer Cells.
Jun PEI ; Tianqing CHU ; Minhua SHAO ; Jiajun TENG ; Huifang SHA ; Aiqing GU ; Rong LI ; Jialin QIAN ; Weifeng MAO ; Ying LI ; Baohui HAN
Yonsei Medical Journal 2017;58(3):581-591
PURPOSE: c-Met and its ligand, hepatocyte growth factor (HGF), play a critical role in oncogenesis and metastatic progression. The aim of this study was to identify inhibited enzymogram and to test the antitumor activity of SIM-89 (a c-Met receptor tyrosine kinase inhibitor) in non-small cell lung cancer. MATERIALS AND METHODS: Z′-LYTE kinase assay was employed to screen the kinase enzymogram, and mechanism of action (MOA) analysis was used to identify the inhibited kinases. Cell proliferation was then analyzed by CCK8 assay, and cell migration was determined by transwell assay. The gene expression and the phosphorylation of c-Met were examined by realtime-PCR and western blotting, respectively. Finally, the secretion of HGF was detected by ELISA assay. RESULTS: c-Met, activated protein kinase (AMPK), and tyrosine kinase A (TRKA) were inhibited by SIM-89 with the IC₅₀ values of 297 nmol/L, 1.31 µmol/L, and 150.2 nmol/L, respectively. SIM-89 exerted adenosine triphosphate (ATP) competitive inhibition on c-Met. Moreover, the expressions of STAT1, JAK1, and c-Met in H460 cells were decreased by SIM-89 treatment, and c-Met phosphorylation was suppressed in A549, H441, H1299, and B16F10 cells by the treatment. In addition, SIM-89 treatment significantly decreased the level of HGF, which accounted for the activation of c-Met receptor tyrosine kinase. Finally, we showed cell proliferation inhibition and cell migration suppression in H460 and H1299 cells after SIM-89 treatment. CONCLUSION: In conclusion, SIM-89 inhibits tumor cell proliferation, migration and HGF autocrine, suggesting it's potential antitumor activity.
Adenosine Triphosphate
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Blotting, Western
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Carcinogenesis
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Carcinoma, Non-Small-Cell Lung*
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Cell Movement
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Cell Proliferation
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Enzyme-Linked Immunosorbent Assay
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Gene Expression
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Hepatocyte Growth Factor
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Lung Neoplasms
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Phosphorylation
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Phosphotransferases
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Protein Kinases
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Protein-Tyrosine Kinases
8.Predictive value of cervical length measured by transvaginal ultrasound during the second and the third trimester of pregnancy for preterm birth in twin pregnancies
Xifang ZUO ; Yufeng DU ; Jing YANG ; Ziyi CHENG ; Lijun GONG ; Aiqing ZHANG ; Na HAN ; Yuan WEI ; Yangyu ZHAO
Chinese Journal of Obstetrics and Gynecology 2019;54(5):318-323
Objective To investigate the predictive value of cervical length (CL) measured by transvaginal ultrasound for preterm birth<32 weeks,<34 weeks in twin pregnancies in the second and the third trimester of pregnancy. Methods A total of 490 twin pregnant women with CL measured by transvaginal ultrasound during the second trimester of pregnancy (20-24 weeks) and the third trimester of pregnancy (28-32 weeks) delivered in Peking University Third Hospital, and Tongzhou Maternal and Child Health Hospital from January 2014 to December 2017 were collected, and 161 cases out of which were measured by CL during both the second trimester and the third trimester of pregnancy. Based on the measured gestational weeks, 427 cases were in the second trimester group and 224 cases in the third trimester group. The predictive value of CL for preterm birth was evaluated by calculating the optimal cut-off point with sensitivity and specificity. Logistic regression analysis was used to assess the relationship between CL and preterm birth after adjusting for confounding factors (age of pregnant women, chorionic status, mulipara, assisted reproductive pregnancy and pre-pregnancy body mass index). Results (1) The median CL of pregnant women in the second trimester group and the third trimester group were 36 mm (33-40 mm) and 28 mm (18-33 mm) respectively. In the second trimester group, 151 cases (35.4%, 151/427) were preterm birth and 276 cases (64.6%, 276/427) were full-term birth; the median CL of preterm and full-term pregnant women were 34 mm (30-37 mm) and 37 mm (34-40 mm), respectively, with significant difference (P<0.01). In the third trimester group, 100 cases (44.6%, 100/224) were preterm birth and 124 cases (55.4%, 124/224) were full-term birth; the median CL of preterm and full-term pregnant women were 22 mm (15-30 mm) and 31 mm (23-34 mm), respectively, with significant difference (P<0.01). (2) Prediction of preterm birth<32 weeks and<34 weeks was performed with CL in the second trimester group. The area under the receiver-operating characteristics curve were 0.78 (95% CI : 0.70-0.86) and 0.71 (95% CI : 0.64-0.79), respectively. The optimal cut-off points were 36.5 mm and 33.5 mm, respectively. After adjusting for confounding factors, CL was inversely associated with preterm birth<32 weeks and<34 weeks of gestation. (3) Prediction of preterm birth <32 weeks and <34 weeks were performed with CL in the third trimester group. The area under the receiver-operating characteristics curve were 0.86 (0.75-0.96) and 0.75 (0.67-0.84), respectively. The optimal cut-off points were 17.5 mm and 18.5 mm, respectively. After adjusting for confounding factors, CL was inversely associated with preterm birth at<32 weeks and<34 weeks of gestation. Conclusions CL measured by transvaginal ultrasound in the second and the third trimester is a good predictor for preterm birth of twin pregnancy. CL≤36.5 mm and≤33.5 mm at 20-24 weeks of gestation could predict preterm birth<32 weeks and<34 weeks respectively. CL≤17.5 mm and≤18.5 mm at 28-32 weeks of gestation could predict preterm birth<32 weeks and<34 weeks respectively.