ABSTRACT
ObjectiveTo analyze the prevalence of HCV antibody positive and associated factors among drug users in Dehong Prefecture， Yunnan， and to provide scientific evidence for HCV prevention. MethodsQuestionnaire surveys and serological testing were conducted among 400 drug users continuously selected from four national AIDS sentinel surveillance in Dehong Prefecture between January and July during 2014‒2021. Results11 683 drug users were included. The prevalence of HCV antibody positive was 20.2% overall， and 14.9%， 20.1%， 22.4%， 19.8%， 22.5%， 20.6%， 24.5%， 19.0% from 2014 to 2021， respectively （trend Z=-3.78， P<0.001）. Multivariable analysis indicated the following were independently associated with HCV antibody positive： that older age （OR=1.02， 95%CI： 1.02‒1.03）， male （OR=1.70， 95%CI： 1.19‒2.42）， unmarried （OR=1.64， 95%CI： 1.44‒1.87）， divorced or widowed （OR=1.73， 95%CI： 1.48‒2.02）， Jingpo ethnicity （OR=1.39， 95%CI： 1.19‒1.63）， injection drug use （OR=15.46， 95%CI： 13.13‒18.12）， and HIV infection（OR=4.96， 95%CI：4.12‒5.99）. ConclusionThe prevalence of HCV antibody positive among drug users in Dehong Prefecture is high and increases with some fluctuations during 2014 to 2021， which highlights the need to develop interventions targeting this population.
ABSTRACT
Detailed characterizations of genomic alterations have not identified subtype-specific vulnerabilities in adult gliomas. Mapping gliomas into developmental programs may uncover new vulnerabilities that are not strictly related to genomic alterations. After identifying conserved gene modules co-expressed with EGFR or PDGFRA (EM or PM), we recently proposed an EM/PM classification scheme for adult gliomas in a histological subtype- and grade-independent manner. By using cohorts of bulk samples, paired primary and recurrent samples, multi-region samples from the same glioma, single-cell RNA-seq samples, and clinical samples, we here demonstrate the temporal and spatial stability of the EM and PM subtypes. The EM and PM subtypes, which progress in a subtype-specific mode, are robustly maintained in paired longitudinal samples. Elevated activities of cell proliferation, genomic instability and microenvironment, rather than subtype switching, mark recurrent gliomas. Within individual gliomas, the EM/PM subtype was preserved across regions and single cells. Malignant cells in the EM and PM gliomas were correlated to neural stem cell and oligodendrocyte progenitor cell compartment, respectively. Thus, while genetic makeup may change during progression and/or within different tumor areas, adult gliomas evolve within a neurodevelopmental framework of the EM and PM molecular subtypes. The dysregulated developmental pathways embedded in these molecular subtypes may contain subtype-specific vulnerabilities.
Subject(s)
Humans , Brain Neoplasms/pathology , Neoplasm Recurrence, Local/metabolism , Glioma/pathology , Neural Stem Cells/pathology , Oligodendrocyte Precursor Cells/pathology , Tumor MicroenvironmentABSTRACT
Papers on electronic health record ( EHR) were retrieved from CNKI core journals database and CNKI patents full-text database.The papers on HER and patent literature were comparatively analyzed by co-words clus-tering analysis, which showed that technologies used in community health service, remote medical treatment, HL7 and XML are the promise technologies used in EHR.
ABSTRACT
The research hot spots and development in domestic neurology were analyzed by co-words analysis, visual analysis and the combination of them, which showed that the co-occurrence relation between high frequency words could display the structure and hot spots of subject headings in neurology, analysis of the cluster evolution and position could dynamically reveal the hot spots and development in neurology, and comprehensive analysis of words and their classes could directly and overall demonstrate the hot spots and development in neurology.
ABSTRACT
After a description of the previous methods used in detecting research fronts and their problems, the methods to detect scientific funds-supported research fronts using sliding window were proposed .The research fronts in oncology were detected using the optimal clustering algorithms, which showed that the clustering effect of agglomerative algorithm was excellent on research fronts in oncology .The data in 4 sliding windows were analyzed by co-words clustering analysis to reveal the research fronts and their evolution rules in oncology .
ABSTRACT
Five genes that are closely related with leukemia were detected and identified using COREMINE Medi-cal, and the abstracts of related papers covered in PubMed were analyzed with the biomedical text mining tool, Chilibot, which showed that leukemia interacts with the 5 genes detected using COREMINE Medical.
ABSTRACT
The research frontiers in foreign medical informatics were analyzed according to the co-occurrence net-work map, hotspots density map and cluster tree map that were plotted for the PubMed-covered scientific papers on medical informatics from 2010 to 2014 , which showed that the research frontiers in foreign medical informatics were the natural language processing and data mining of electronic health records, medical decision-making assistant system, computer-aided drug therapy, clinical decision-making support, health service attitude, health service quality, health service model, medical records system and its linkage, information system and its integration.