1.Up-regulation of miR-15b and miR-16and inhibition of VEGF expression in HLF cells after hyperoxia explosure
Yougang MAI ; Jiaying LEI ; Xikang TANG ; Tinghua LIU ; Zekai CHEN
Basic & Clinical Medicine 2017;37(9):1276-1280
Objective To investigate the effect of miR-15b and miR-16 on the expression of vascular endothelial growth factor (VEGF) protein in human embryonic lung fibroblast (HLF) cells under hyperoxia.Methods The expression level of miR-15b and miR-16 was up-regulated and down-regulated in HLF cells by transfection technology, respectively.The expression of VEGF protein in HLF cells was assessed by Western blot.Furthermore, under hyperoxia exposure in vitro, the expression of miR-15b, miR-16 and VEGF protein in HLF cells was analyzed.Results Up-regulation of miR-15b and miR-16 suppressed VEGF protein expression, while down-regulated miR-15b and miR-16 promoted VEGF protein expression.In addition, hyperoxia exposure induced up-regulation of miR-15b and miR-16, but down-regulation of VEGF protein in HLF cells.Conclusions Hyperoxia exposure may up-regulate the expression level of miR-15b and miR-16, but suppress VEGF protein expression.These may contribute to the development of bronchopulmonary dysplasia.
2.Dose response relationship between daily steps counts and fat loss in obese children and adolescents
CHEN Zekai, ZHU Lin, LI Zhanquan
Chinese Journal of School Health 2022;43(9):1329-1332
Objective:
To investigate whether there is a nonlinear relationship and threshold effect between the number of daily steps counts and fat loss in obese children and adolescents.
Methods:
Forty eight obese children and adolescents were randomly recruited to undergo 4 week closed exercise training during July to August 2021. Actigraphy GT3X+ was used to monitor the daily steps, and fat loss effect was evaluated by changes of body composition indicators before and after the intervention. Paired samples t test was used to compare the indicators before and after the intervention; the dose response relationship between daily steps counts and fat loss was analyzed by linear regression and piecewise regression, and the nonlinear relationship was analyzed by restricted cubic spline (RCS).
Results:
Body fat mass, percentage of body fat, lean body mass and skeletal muscle mass decreased (27.50± 7.33 )kg, (36.17±5.59)%, (47.55±6.48)kg, (26.14±3.84)kg, respectively compared with those before intervention[(31.97± 7.82 )kg,(39.06±5.12)%,(49.08±6.93)kg,(27.08±4.15)kg] ( t=21.04, 13.32, 7.65, 8.35, P <0.05). There was a significant nonlinear doseresponse relationship between daily steps counts and the change of these indicators ( P <0.05). After adjusting for age, sex and baseline BMI, each 1 000 step increase in daily walking number, BMI increased by 0.44(95% CI =0.03-0.84)kg and body fat percentage by 0.61%(95% CI =0.17%-1.04%). After adjusting for age, sex, and baseline BMI, each 1 000 step increased in daily number of steps occurred when the daily number of steps ranged from 8 300 to 11 400, lean body weight increased by 0.58(95% CI =0.11-1.04)kg, skeletal muscle mass increased by 0.29(95% CI =0.03-0.54)kg.
Conclusion
There is a non linear dose response relationship between daily steps and fat loss in obese children and adolescents, for optimal fat loss efficiency, daily steps to 8 300-11 400 appropriate.
3.Research progress on the role of microorganisms in radiation-induced oral mucositis
Zekai SHU ; Shuzhen LAI ; Yuanyuan CHEN ; Ming CHEN
Chinese Journal of Radiation Oncology 2020;29(8):695-698
Radiation-induced oral mucositis (ROM) is one of the most common adverse events after radiotherapy for head and neck cancer, which may result in oral pain, dysphagia, poor nutrition or even radiotherapy interruption. Recently, increasing attention has been paid to the role of microorganisms in ROM. In this review, the pathogenesis and clinical manifestations of ROM, the role of microorganism in ROM and its mechanism and probiotic therapy were summarized.
4.Correlation between changes of oral bacterial flora and radiation-induced oral mucositis during radiotherapy for head and neck
Zekai SHU ; Baikui WANG ; Lei WANG ; Ming CHEN ; Weifen LI ; Yuanyuan CHEN
Chinese Journal of Radiation Oncology 2021;30(7):665-670
Objective:To investigate the correlation between the changes of oral bacterial flora during head and neck radiotherapy and radiation-induced oral mucositis (ROM).Methods:The oral bacterial samples of patients with nasopharyngeal carcinoma and accompanying family members were obtained before and at the end of radiotherapy and subjected to high-throughput sequencing. C57BL/6 mice were used to establish the ROM models. On the 9 th day after radiotherapy, oral bacterial samples were collected in the radiotherapy group and the negative control group. On the 3 rd, 5 th, 7 th, and 9 th days post-radiotherapy, the tongue tissues were obtained from another batch of mice in the negative control and radiotherapy groups. Inflammatory factors were detected with PCR and HE staining was performed. Results:The oral bacterial diversity of patients after radiotherapy significantly differed from that of patients before radiotherapy and their accompanying family members before and after radiotherapy in Observed species, Chao1, Simpson index (all P<0.05). There was a significant difference in Shannon index between the severe and mild ROM patients ( P=0.036). LEfSe analysis showed that patients with severe ROM had higher levels of g_ Streptococcus and f_ Streptococcus, and lower levels of f_ Familyxl, g_ Gemini and o_ Bacillus. The Simpson index and PCoA results in the oral bacterial samples significantly differed between the negative control and radiotherapy groups (all P<0.05). Conclusions:Radiotherapy can disrupt the balance of bacterial flora. The dysregulated oral bacterial flora is closely associated with the aggravation of ROM.
5.Research and clinical primary application on 3D modeling and printing of fetal hearts based on ultrasound spatio-temporal image correlation imaging technology
Na HOU ; Yitong GUO ; Zekai ZHANG ; Yuntao CHEN ; Zhuojun MAO ; Jiahe LIANG ; Jiangpu YI ; Tiesheng CAO ; Lijun YUAN
Chinese Journal of Ultrasonography 2022;31(4):295-303
Objective:To explore the feasibility and accuracy of three-dimensional (3D) modeling methods based on ultrasound imaging data for normal and abnormal fetal cardiac structures, and to construct a methodology system for 3D printing of fetal heart based on ultrasound.Methods:A total of 93 fetuses examined in Tangdu Hospital of Air Force Military Medical University from January to December 2019 were selected. Fetal echocardiography was obtained using spatio-temporal image correlation (STIC). Ninety-three hearts were 3D modeled by blood flow modeling, blood pool modeling and cavity modeling, and printed by stereolithography technique. The data measured on the 3D digital models and 3D printed solid models were compared with the corresponding fetal echocardiographic images respectively in order to evaluate the accuracy of the modeling methods.Results:The fetal cardiac blood flow models based on Doppler flow image data showed the malformation and trend of small blood vessels. The fetal cardiac structure models printed based on blood pool modeling displayed the malformation of heart and large blood vessels. Models printed based on cavity modeling method accurately displayed valve and structural defects.For 83 normal fetal hearts, the long diameters of left and right ventricles measured on echocardiography [(15.3±1.9)mm, (13.2±1.9)mm] were compared with those measured on digital models [(15.1±1.9)mm, (12.9±1.9)mm] and 3D printed models[(15.1±1.9)mm, (13.0±1.9)mm], respectively, and there were no significant differences between any two groups of them ( P>0.05). Bland-Altman showed good consistency for all measurements within and between operators. Conclusions:The three modeling methods, including blood flow modeling, blood pool modeling and cavity modeling, have their own advantages in displaying different types of fetal heart malformations. Appropriate modeling methods should be selected for 3D modeling and printing to make up for the limitations of single modeling method. The consistency between measurements on 3D models and those on echocardiography is high, and the repeatability between operators is good.
6.Research progress on minimally invasive and non-invasive blood glucose detection methods.
Xinyu GAO ; Zekai XU ; Liqun CHEN
Journal of Biomedical Engineering 2023;40(2):365-372
Blood glucose monitoring has become the weakest point in the overall management of diabetes in China. Long-term monitoring of blood glucose levels in diabetic patients has become an important means of controlling the development of diabetes and its complications, so that technological innovations in blood glucose testing methods have far-reaching implications for accurate blood glucose testing. This article discusses the basic principles of minimally invasive and non-invasive blood glucose testing assays, including urine glucose assays, tear assays, methods of extravasation of tissue fluid, and optical detection methods, etc., focuses on the advantages of minimally invasive and non-invasive blood glucose testing methods and the latest relevant results, and summarizes the current problems of various testing methods and prospects for future development trends.
Humans
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Blood Glucose
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Blood Glucose Self-Monitoring/methods*
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Diabetes Mellitus/diagnosis*
;
Monitoring, Physiologic/methods*
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Tears
7.Research Progress of Artificial Intelligence and Molecular Simulation in Drug Design
Minquan ZHANG ; Mingcheng GONG ; Zekai CHEN ; Zhenhua CHEN ; Liangliang ZHOU
Herald of Medicine 2024;43(1):78-84
With the deepening of modern drug research,traditional computer simulation can not meet the needs of future drug design experiments.As a classic technology of standard computer simulation,molecular simulation can construct and analyze complex molecular models to study the dynamic processes of molecular motion.However,the simulation results are easy to be affected by human factors.In recent years,the integration of artificial intelligence and molecular simulation has become a new method of drug design research.Artificial intelligence technology uses big data to screen out the corresponding compounds for molecular simulation and feedback on the simulation results to the artificial intelligence system to optimize the artificial neural network.The combination of artificial intelligence and molecular simulation technology improves the efficiency of drug design research,reduces the influence of human factors on simulation results,and increases the credibility of simulation results.In this review,we summarized the progress of artificial intelligence and molecular simulation technology in drug design to provide a reference for the change from computer assisted drug design(CADD)to artificial intelligence-aided drug design(AIDD)in future pharmaceutical development.
8.Visualization analysis of research on executive function in overweight or obesity
Zhanquan LI ; Zekai CHEN ; Lin ZHU ; Fuxian LIU
Sichuan Mental Health 2022;35(5):460-466
ObjectiveTo study the current status and development trend of research on the executive function in overweight or obesity, and to grasp the research hotspots in this field. MethodsA total of 1 321 literatures relevant to the executive function in overweight or obesity collected in Web of Science Core Collection database from 2010 to 2021 were selected. CiteSpace and VOSviewer were used to generate knowledge graphs for visualization analysis, then the number of articles issued, countries/regions, institutions and the co-occurrence, clustering and burst of keywords were analyzed. Results①In terms of the trend of the number of articles issued from 2010 to 2021, the annual quantity of published articles about the executive function in overweight or obesity presented a rapid growth over 2010-2014, then entered into a slow growth stage over 2014-2017, and emerged a rapid growth over 2017-2021. ②From the perspective of countries / regions, a total of 64 countries and regions participated in the research. The largest number of articles issued in this field was the USA, which had the most frequent cooperation and exchanges with other countries and regions, and exerted the greatest academic influence, occupying the core position of this research field. ③From the perspective of research institutions, a total of 1 627 institutions participated in this research field, among which the Illinois University published the most papers and closely cooperated with many productive institutions, forming a research group with a certain scale. ④From the perspective of keywords, the research content mainly involved dietary behavior research, prevention and intervention research, risk factor assessment, and analysis of the characteristics of different groups. ConclusionResearches on executive function in overweight or obesity have been developing rapidly, attracting international attention and covering a wide range of areas.
9.Establishment of a Predictive Model for Chronic Cough after Pulmonary Resection.
Zhengwei CHEN ; Gaoxiang WANG ; Mingsheng WU ; Yu WANG ; Zekai ZHANG ; Tianyang XIA ; Mingran XIE
Chinese Journal of Lung Cancer 2024;27(1):38-46
BACKGROUND:
Chronic cough after pulmonary resection is one of the most common complications, which seriously affects the quality of life of patients after surgery. Therefore, the aim of this study is to explore the risk factors of chronic cough after pulmonary resection and construct a prediction model.
METHODS:
The clinical data and postoperative cough of 499 patients who underwent pneumonectomy or pulmonary resection in The First Affiliated Hospital of University of Science and Technology of China from January 2021 to June 2023 were retrospectively analyzed. The patients were randomly divided into training set (n=348) and validation set (n=151) according to the principle of 7:3 randomization. According to whether the patients in the training set had chronic cough after surgery, they were divided into cough group and non-cough group. The Mandarin Chinese version of Leicester cough questionnare (LCQ-MC) was used to assess the severity of cough and its impact on patients' quality of life before and after surgery. The visual analog scale (VAS) and the self-designed numerical rating scale (NRS) were used to evaluate the postoperative chronic cough. Univariate and multivariate Logistic regression analysis were used to analyze the independent risk factors and construct a model. Receiver operator characteristic (ROC) curve was used to evaluate the discrimination of the model, and calibration curve was used to evaluate the consistency of the model. The clinical application value of the model was evaluated by decision curve analysis (DCA).
RESULTS:
Multivariate Logistic analysis screened out that preoperative forced expiratory volume in the first second/forced vital capacity (FEV1/FVC), surgical procedure, upper mediastinal lymph node dissection, subcarinal lymph node dissection, and postoperative closed thoracic drainage time were independent risk factors for postoperative chronic cough. Based on the results of multivariate analysis, a Nomogram prediction model was constructed. The area under the ROC curve was 0.954 (95%CI: 0.930-0.978), and the cut-off value corresponding to the maximum Youden index was 0.171, with a sensitivity of 94.7% and a specificity of 86.6%. With a Bootstrap sample of 1000 times, the predicted risk of chronic cough after pulmonary resection by the calibration curve was highly consistent with the actual risk. DCA showed that when the preprobability of the prediction model probability was between 0.1 and 0.9, patients showed a positive net benefit.
CONCLUSIONS
Chronic cough after pulmonary resection seriously affects the quality of life of patients. The visual presentation form of the Nomogram is helpful to accurately predict chronic cough after pulmonary resection and provide support for clinical decision-making.
Humans
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Chronic Cough
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Cough/etiology*
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Lung Neoplasms
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Pneumonectomy/adverse effects*
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Quality of Life
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Retrospective Studies