1.Differential analysis of miRNA let-7f-1-3p in Burkitt lymphoma
Baozhen CHEN ; Yi SHI ; Xiaojiang WANG ; Jianping LU ; Yinzhu HE ; Gang CHEN
Journal of Leukemia & Lymphoma 2014;23(10):602-606
Objective To explore the differential expression of microRNAs (miRNAs) in Burkitt lymphoma (BL) and their potential use as biomarkers for BL diagnosis.Methods The different miRNAs in BL from reactive hyperplasia of lymph node cases were screened by miRNA chip.The potential targets of miRNAs were predicted using miRWALK.MAS3 program was used to determine the putative functions of potential miRNA target genes by annotation using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses.Results A total of 46 miRNAs (36 upregulated and 21 downregulated) were dysregulated in BL compared with reactive hyperplasia of lymph node.Interestingly,members of the let-7 family (let-7f-1-3p) was downregulated in BL.The target genes of let-7f-1-3p were predicted,and the GO enrichment analysis revealed their functions were mainly related with multicellular organismal development and regulation of transcription from RNA polymerase Ⅱ promote.KEGG pathway analysis was also carried out among the predicted target genes,which showed that they were mainly involved in TGF-beta signaling pathway and related with chronic myeloid leukemia.Conclusions The set of differentially expressed miRNAs identified here expands the range of potential diagnostic markers for BL.
2.The establishment of the drug-resistant Candida albicans disseminated infected mice model
Hang LI ; Baoyong GONG ; Yinzhu LUO ; Yue WU ; Meiling CHEN ; Rui CHEN ; Xiaolin LIU ; Hui WANG ; Ren HUANG ; Yu ZHANG
Chinese Journal of Comparative Medicine 2016;26(9):25-29
Objective Establishing the drug?resistant Candida albicans disseminative infected mice model for new drug screening. Methods The disseminative infected mouse model was generated by intravenously injecting a clinical Drug?resistant Candida albicans strain ( CaR) to immunosuppressive ICR mice. The features of model was evaluated by clinical symptom, survival condition, fungal burden in tissue, histopathology, cytokines assay and medication. Results After infected with CaR (0 day), the death of mice started at the first day, though, compared to clinical drug sensitive strain ( CaS) infected group, the difference of mortality rate in 16?day observation period was not significant in two groups (CaR, 90?7%;CaS, 86?2%, P =0?158), mice in CaR group died faster than those in CaS group at the early stage;On the fourth day of infection, Candida albicans could be detected in the different tissues, and we found fungal burden in kidney and brain was a significant difference. The typical granuloma caused by fungal infection was the main histopathological feature observed in the kidney, brain and heart. Cytokines in renal tissue were detected by flow cytometry, The changes of IL?1α,IL?6,TNF?αand IFN?γin kidney were significant. Compared with CaS group, IL?1 and IFN?γ were significantly higher and TNF?αdecreased significantly in CaR group. The mice of groups CaR and CaS were treated with 10 mg/kg fluconazole, the mortality rates were 83?3% and 37?5%, which have a significant difference. Conclusions In this study, we successfully established a drug?resistant Candida albicans disseminative infected mice model which is potential tool for the development of new anti?infectious agent.
3.Establishment of a ICR mouse model of systemic C. albicans infection induced by oral inoculation
Yinzhu LUO ; Jinchun PAN ; Lifang HE ; Fangui MIN ; Qiuying YE ; Rui CHEN ; Yue WU ; Ren HUANG ; Yu ZHANG
Acta Laboratorium Animalis Scientia Sinica 2016;24(6):591-595
Objective To establish a mouse model of systemic C. albicans infection by oral inoculation of the pathogen and observe the proliferation and distribution of C. albicans in vivo tissues. Methods Male ICR mice(n=46) were used as the experiment group(n=40) and blank group (n=6). Cotton swabs with C. albicans were used to infect the mice (7 × 106 CFU/mL), and the blank group with saline. The mice of the experiment group were randomly divided into two groups:model group A for clinical assessment (n=20) and model group B for tissue fungal burden detection (n=20). Clinical score, survival and autopsy were carried out among the model group A. Five mice were randomly killed from the model group B at 3 d, 5 d and7 d after infection, respectively ( blank group killed 2 mice each time) . Microbial load tablet method was used to detect the tissue fungal burdens in different tissues, meanwhile samples of tongue, esophagus, stomach, liver, kidney, lung of infected mice were taken for pathological examination. Results White spot appeared on the surface of tongue since 3 d postinfection and increased with time and finally caused death. The mortality reached over 50% at 5 d. C. albicans was not only detected from the tongue (87?5%), stomach (87?5%), liver (54?5%), kidney (50?5%), lung (20%) and heart (4%), but also was microscopically seen mycelia proliferation in the tongue, stomach, liver, and kidney , yet not seen in the control group, showing that C. albicans caused disseminated systemic infection through mucosal infection in mice. Conclusions C. albicans can induce opportunistic systemic infection by breakthrough the mucosal immune barrier, so as to increase the infection to death.
4.Identification of characteristic methylation sites in gastric cancer using genomics-based machine learning
Xiaojiang WANG ; Wei LIU ; Baozhen CHEN ; Yinzhu HE ; Yanping CHEN ; Gang CHEN
Chinese Journal of Pathology 2021;50(4):363-368
Objective:To construct a prediction model of gastric cancer related methylation using machine learning algorithms based on genomic data.Methods:The gene mutation data, gene expression data and methylation chip data of gastric cancer were downloaded from The Caner Genome Atlas database, feature selection was conducted, and support vector machine (radial basis function), random forest and error back propagation (BP) neural network models were constructed; the model was verified in the new data set.Results:Among the three machine learning models, BP neural network had the highest test efficiency (F1 score=0.89,Kappa=0.66, area under curve=0.93).Conclusion:Machine learning algorithms, particularly BP neural network, can be used to take advantages of the genomic data for discovering molecular markers, and to help identify characteristic methylation sites of gastric cancer.
5.Methylation of Runx3 promoter in different breast lesions.
Xiaojiang WANG ; Xiongwei ZHENG ; Xiandong LIN ; Yi SHI ; Yinzhu HE ; Gang CHEN
Chinese Journal of Pathology 2014;43(7):447-450
OBJECTIVETo investigate the methylation status of Runx3 promoter and Runx3 expression in breast lesion tissues.
METHODSOne hundred and fourteen breast lesions, including 35 cases of fibroadenoma, 39 cases of intraductal carcinoma, 40 cases of invasive ductal carcinoma, and 33 cases of normal breast tissue from Fabruary 2010 to August 2012 were included in this study. Runx3 protein expression was assessed by immunohistochemical SP method; whereas methylation of Runx3 promoter was assessed by high resolution melting (HRM) analysis.
RESULTSRunx3 protein was mainly expressed in the cytoplasm of ductal epithelial cells. The expression rates of Runx3 in normal breast tissue, fibroadenoma, ductal carcinoma in situ, invasive ductal carcinoma were 87.9% (29/33), 85.7% (30/35), 53.8% (21/39), and 40.0% (16/40) respectively. The methylation rates of Runx3 promoter were 12.1% (4/33), 20.0% (7/35), 46.2% (18/39), and 57.5% (23/40), respectively. Correlation analysis between promoter methylation and protein expression of Runx3 in different breast tissue showed the r value in normal breast tissue, fibroadenoma, ductal carcinoma in situ and invasive ductal carcinoma was -0.431 (P = 0.012), -0.408 (P = 0.015), -0.589 (P = 0.000) and -0.743 (P = 0.000) respectively.
CONCLUSIONSRunx3 protein expression shows a downward trend in ductal carcinoma in situ and invasive ductal carcinoma, meanwhile its promoter methylation increases significantly. The methylation of Runx3 promoter may be one of the important factors in the occurrence and development of breast cancer.
Breast ; metabolism ; Breast Neoplasms ; metabolism ; Carcinoma, Ductal, Breast ; metabolism ; Carcinoma, Intraductal, Noninfiltrating ; metabolism ; Core Binding Factor Alpha 3 Subunit ; genetics ; metabolism ; DNA Methylation ; Female ; Fibroadenoma ; metabolism ; Humans ; Neoplasm Proteins ; metabolism ; Promoter Regions, Genetic
6.Epidemiological investigation and etiological analysis on a case of human infection with avian influenza A (H3N8) virus in Changsha
Jin ZHAO ; Xuewen YANG ; Ruchun LIU ; Yinzhu ZHOU ; Shuilian CHEN ; Jinsong QIU ; Zheng HUANG
Chinese Journal of Epidemiology 2023;44(11):1776-1780
Objective:To understand the epidemiological and clinical characteristics of human infection with avian influenza A(H3N8) virus and the molecular biological characteristics of the pathogen, and provide scientific evidence for the prevention and control of human infection with avian influenza A(H3N8) virus.Methods:An epidemiological investigation was conducted for a case of human infection with avian influenza A(H3N8) virus in Changsha in May 2022 to collect the information about exposure history, route of infection, onset and treatment, potential contacts and other possible exposures for a descriptive analysis. Nucleic acid detection and gene sequencing were used to detect the pathogen and analyze the genetic characteristics.Results:The case had a history of exposure to live poultry trading market 6 days before the onset of illness. Subtypes H3 and N8 of avian influenza virus were detected in live poultry markets. Deep gene sequencing showed that the virus had adaptive mutations in mammals, reduced sensitivity to alkamine agent, and no resistance mutations related to neuraminidase inhibitors and polymerase inhibitors were detected.Conclusion:The case was infected due to exposure to the live poultry market environment contaminated by avian influenza A(H3N8) virus, and no human to human transmission was found.
7.Study on the establishment of quality control system of TaiChi accelerator on the basis of AAPM TG119 reporter
Tingtian PANG ; Tao WANG ; Qiqi LEI ; Bo YANG ; Zhiqun WANG ; Jie ZHANG ; Yinzhu CHEN ; Shihao LI ; Peng ZAN ; Jie QIU
China Medical Equipment 2024;21(6):1-5,11
Objective:The purpose of this study is to test and assess the model of modeling data of TaiChi accelerator in the Raystation Treatment Planning System(RayStation system)according to the test method and item of TG119 report of American Association Physicians Medicine(AAPM).Methods:The intensity-modulated radiation therapy(IMRT)and volumetric-modulated arc therapy(VMAT)plans of the test cases of different clinical situations,which included the simulated multi target region,prostate target region,head and neck target region,easy type C-shape target region plan and difficult type C-shape target region plan,were designed according to the AAPM TG119 report in the treatment planning system.The deviations of the doses of point and area of the two kinds of plans were measured,and the measured results were compared and analyzed with the recommended standards of AAPM TG119 report.The IBA CC13 ionization chamber and the ArcCHECK matrix ionization chamber were used respectively to verify the point dose and area dose,and the assessment standard was γ passing rate under 3%3mm.The confidence interval was adopted to judge the consistency between the measured dose and the calculated dose.Results:The accuracies of plan dose target,point dose deviation and area dose distribution of tested cases could meet the requirement of the TGl19 report.The deviations of mean doses for the high-dose points of IMRT plan and VMAT plan of tested cases were respectively(0.39±1.02)%and(1.27±0.64)%,and the confidence intervals of them were respectively 2.39%and 2.52%.The average dose deviations of low doses of organ at risk(OAR)of IMRT plan and VMAT plan were respectively(0.53±1.73)%and(0.88±1.11)%,and the confidence intervals were respectively 3.92%and 3.06%.The average γ passing rate under 3%/3mm of IMRT plan and VMAT plan were respectively(99.52±0.366)%and(99.86±0.136)%,and the confidence intervals of them were respectively 1.196%and 0.406%.Conclusion:The TaiChi accelerator performance and the accuracy of Raystation system 6MV FFF model fitting can meet the standard of TG119 report,and the subsequent standards of the quality control of equipment and patients were established according to these tested results,which would provide reference for the improvement of the performance of subsequent accelerator.