• Complex
  • Title
  • Author
  • Keyword
  • Abstract
  • Scholars
Search
Sort by:
Default
  • Default
  • Title
  • Year
  • WOS Cited Count
  • Impact factor
  • Ascending
  • Descending
< Page ,Total 16 >
Epidemic pattern of hand-foot-and-mouth disease in Xi'an, China from 2008 through 2015 SCIE PubMed
期刊论文 | 2019 , 19 | BMC INFECTIOUS DISEASES
Abstract&Keyword Cite

Abstract :

BackgroundHand, foot and mouth disease (HFMD) is an infectious disease caused by enteroviruses that has a severely impair for those high incidence countries such as China.The current study aimed to investigate the epidemic pattern of HFMD by time and region in Northwestern China.MethodsAll reported HFMD cases from 2008 to 2015 were collected from local Disease Control and Prevention.The HFMD was diagnosed in accordance with the guidebook provided by the National Health and Family Planning Commission of the People's Republic of China.ResultsA total of 154,869 cases of probable HFMD were reported. The overall incidence of HFMD has been increased from 91.68 per 100/000 in 2008 to 335.64 per 100/000 in 2015.The case mortality is decreased from 0.014 per100/000 to 0.011 per 100/000 during the time period. Most HFMD (93.82%) occurred in children younger than 5years. The seasonal peak of HFMD infections occurred in April-July and September-November and Central regions of Xi'an city were the major locations of the clusters (incidence rate 245.75/100,000; relative risk 1.19, P<0.01). EVA71 was the predominant enterovirus serotype, accounting for 50.0% of all reported HFMD cases since 2011.The most susceptible group infected by HFMD was children younger than 5years, especially boys.ConclusionsIncidence of HFMD has been increasing in the past few years, however, the case fatality is decreasing. Season and region shall be considered as influence factors in the prevention of HFMD.

Keyword :

Distribution Serotype Epidemic Hand-foot-and-mouth disease

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Liu, JiFeng , Xiang, XiaoMei , Pu, ZhongShu et al. Epidemic pattern of hand-foot-and-mouth disease in Xi'an, China from 2008 through 2015 [J]. | BMC INFECTIOUS DISEASES , 2019 , 19 .
MLA Liu, JiFeng et al. "Epidemic pattern of hand-foot-and-mouth disease in Xi'an, China from 2008 through 2015" . | BMC INFECTIOUS DISEASES 19 (2019) .
APA Liu, JiFeng , Xiang, XiaoMei , Pu, ZhongShu , Long, Yong , Xiao, Dan , Zhang, WeiLu et al. Epidemic pattern of hand-foot-and-mouth disease in Xi'an, China from 2008 through 2015 . | BMC INFECTIOUS DISEASES , 2019 , 19 .
Export to NoteExpress RIS BibTex
Biological Analysis of Gene Expression and Clinical Variables Suggest FZD1 as a Novel Biomarker for Patients with Kashin-Beck Disease, an Endemic Osteoarthritis in China SCIE PubMed
期刊论文 | 2019 | DISEASE MARKERS
Abstract&Keyword Cite

Abstract :

Clinical variables contribute to the severity of Kashin-Beck disease (KBD). However, it is unclear if there is a correlation between gene expression and clinical variables. Peripheral blood samples were collected from 100 patients with KBD and 100 healthy controls from KBD-endemic areas to identify differentially expressed genes in KBD. Correlation analysis and multiple logistic regression analysis were performed using gene expression and clinical parameters. Immunohistochemistry (IHC) was used to detect the expression of related proteins in articular cartilage tissues. Thirty-nine differentially expressed genes were identified in patients with KBD. Nine differentially expressed genes were correlated with the metacarpal length/metacarpal breadth index. FZD1 was identified as having statistical significance in establishing the regression model of clinical parameters and gene expression. FZD1 expression levels were remarkably reduced in patients with KBD. Our results indicate that FZD1 could be involved in the pathological process of phalanges tuberositas and brachydactylia and may provide new insight into the pathogenesis of articular cartilage destruction observed in patients with KBD.

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Wang, Xi , Ning, Yujie , Zhang, Pan et al. Biological Analysis of Gene Expression and Clinical Variables Suggest FZD1 as a Novel Biomarker for Patients with Kashin-Beck Disease, an Endemic Osteoarthritis in China [J]. | DISEASE MARKERS , 2019 .
MLA Wang, Xi et al. "Biological Analysis of Gene Expression and Clinical Variables Suggest FZD1 as a Novel Biomarker for Patients with Kashin-Beck Disease, an Endemic Osteoarthritis in China" . | DISEASE MARKERS (2019) .
APA Wang, Xi , Ning, Yujie , Zhang, Pan , Yang, Lei , Li, Cheng , Zhou, Rong et al. Biological Analysis of Gene Expression and Clinical Variables Suggest FZD1 as a Novel Biomarker for Patients with Kashin-Beck Disease, an Endemic Osteoarthritis in China . | DISEASE MARKERS , 2019 .
Export to NoteExpress RIS BibTex
The systematic review and meta-analysis of X-ray detective rate of Kashin-Beck disease from 1992 to 2016 SCIE
期刊论文 | 2019 , 20 | BMC MUSCULOSKELETAL DISORDERS
Abstract&Keyword Cite

Abstract :

Kashin-Beck disease (KBD) is a serious human endemic chronic osteochondral disease. However, quantitative syntheses of X-ray detective rate studies for KBD are rare. We performed an initial systematic review and meta-analysis to assess the X-ray detective rate of KBD in China. For this systematic review and meta-analysis, we searched five databases (PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI), WanFang Data and the China Science and Technology Journal Database (VIP))using a comprehensive search strategy to identify studies of KBD X-ray detective rate in China that were published from database inception to January 13, 2018. The X-ray detective rate of KBD was determined via an analysis of published studies using a random effect meta-analysis with the proportions approach. Subgroup analysis and meta-regression were used to explore heterogeneity, and study quality was assessed using the risk of bias tool. A total of 53 studies involving 14,039 samples with X-ray detective rate in 163,340 observations in total were included in this meta-analysis. These studies were geographically diverse (3 endemic areas). The pooled overall X-ray detective rate for KBD was 11% (95%CI,8-15%;Z = 13.14; p < 0.001). The pooled X-ray detective rate estimates were 11% (95%CI, 6-17%; Z = 7.06; p < 0.001) for northeast endemic areas, 13% (95%CI, 7-20%; Z = 7.45; p < 0.001) for northwest endemic areas, and 8% (95%CI, 5-12%; Z = 7.90; p < 0.001) for southwest endemic areas. There was a significant relationship between the survey year and the X-ray detective rate of KBD. Our systematic review found that the summary estimate of the X-ray detective rate of KBD was 11% and, that KBD X-ray positive rate ranged from 8.00 to 15.00% depending on the study. Further research is required to identify effective strategies for preventing and treating KBD.

Keyword :

X-ray detective rate Meta-analysis Kashin-Beck disease Correlation analysis

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Wang, Xi , Ning, Yujie , Liu, Amin et al. The systematic review and meta-analysis of X-ray detective rate of Kashin-Beck disease from 1992 to 2016 [J]. | BMC MUSCULOSKELETAL DISORDERS , 2019 , 20 .
MLA Wang, Xi et al. "The systematic review and meta-analysis of X-ray detective rate of Kashin-Beck disease from 1992 to 2016" . | BMC MUSCULOSKELETAL DISORDERS 20 (2019) .
APA Wang, Xi , Ning, Yujie , Liu, Amin , Qi, Xin , Liu, Meidan , Zhang, Pan et al. The systematic review and meta-analysis of X-ray detective rate of Kashin-Beck disease from 1992 to 2016 . | BMC MUSCULOSKELETAL DISORDERS , 2019 , 20 .
Export to NoteExpress RIS BibTex
Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome-wide gene expression profiling analysis SCIE PubMed
期刊论文 | 2019 , 19 (1) , 30-40 | MOLECULAR MEDICINE REPORTS
Abstract&Keyword Cite

Abstract :

The present study aimed to identify potential novel biomarkers in synovial tissue obtained from patients with Rheumatoid Arthritis (RA) and Osteoarthritis (OA) for differential diagnosis. The genome-wide expression profiling datasets of synovial tissues from RA and OA cohorts, including GSE55235, GSE55457 and GSE55584 datasets, were retrieved and used to identify differentially expressed genes (DEGs; P<0.05; false discovery rate <0.05 and Fold Change >2) between RA and OA using R software. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were performed to determine molecular and biochemical pathways associated with the identified DEGs, and a protein-protein interaction (PPI) network of the DEGs was constructed using Cytoscape software. Significant modules in the PPI network and candidate driver genes were screened using the Molecular Complex Detection Algorithm. Potential biomarkers were evaluated by receiver operating characteristic and logistic regression analyses. Large numbers of DEGs were detected, including 273, 205 and 179 DEGs in the GSE55235, GSE55457 and GSE55584 datasets, respectively. Among them, 80 DEGs exhibited identical expression trends in all the three datasets, including 49 upregulated and 31 downregulated genes in patients with RA. DEGs in patients suffering from RA compared with patients suffering from OA were predominantly associated with the primary immunodeficiency pathway, including interleukin 7 receptor (IL7R) and signal transducer activator of transcription 1 (STAT1). The sensitivity of IL7R + STAT1 to differentiate RA from OA was 93.94% with a specificity of 80.77%. The results generated from analyses of the GSE36700 dataset were closely associated with results generated from analyses of GSE55235, GSE55457 and GSE55584 datasets, which further verified the reliability of the aforementioned results. The results of the present study suggested that increased expression of IL7R and STAT1 in synovial tissue as well as in the primary immunodeficiency may be associated with RA occurrence. These identified novel biomarkers may be used to predict disease occurrence and clinically differentiate RA from OA.

Keyword :

rheumatoid arthritis sensitivity protein-protein interaction osteoarthritis specificity pathway

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, Rongqiang , Yang, Xiaoli , Wang, Jing et al. Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome-wide gene expression profiling analysis [J]. | MOLECULAR MEDICINE REPORTS , 2019 , 19 (1) : 30-40 .
MLA Zhang, Rongqiang et al. "Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome-wide gene expression profiling analysis" . | MOLECULAR MEDICINE REPORTS 19 . 1 (2019) : 30-40 .
APA Zhang, Rongqiang , Yang, Xiaoli , Wang, Jing , Han, Lixin , Yang, Aimin , Zhang, Jie et al. Identification of potential biomarkers for differential diagnosis between rheumatoid arthritis and osteoarthritis via integrative genome-wide gene expression profiling analysis . | MOLECULAR MEDICINE REPORTS , 2019 , 19 (1) , 30-40 .
Export to NoteExpress RIS BibTex
POTENTIAL KEY BIOMARKERS OF OSTEOARTHRITIS BY INTEGRATIVE GENOME-WIDE GENE EXPRESSION PROFILING ANALYSIS CPCI-S SCIE
会议论文 | 2018 , 26 , S177-S178 | OARSI World Congress on Osteoarthritis - Promoting Clinical and Basic Research in Osteoarthritis
Abstract&Keyword Cite

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, R. , Wang, Y. , Yang, A. et al. POTENTIAL KEY BIOMARKERS OF OSTEOARTHRITIS BY INTEGRATIVE GENOME-WIDE GENE EXPRESSION PROFILING ANALYSIS [C] . 2018 : S177-S178 .
MLA Zhang, R. et al. "POTENTIAL KEY BIOMARKERS OF OSTEOARTHRITIS BY INTEGRATIVE GENOME-WIDE GENE EXPRESSION PROFILING ANALYSIS" . (2018) : S177-S178 .
APA Zhang, R. , Wang, Y. , Yang, A. , Zhang, J. , Yuan, P. , Shi, C. et al. POTENTIAL KEY BIOMARKERS OF OSTEOARTHRITIS BY INTEGRATIVE GENOME-WIDE GENE EXPRESSION PROFILING ANALYSIS . (2018) : S177-S178 .
Export to NoteExpress RIS BibTex
PATHWAY-BASED NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH OSTEOARTHRITIS CPCI-S SCIE
会议论文 | 2018 , 26 , S184-S185 | OARSI World Congress on Osteoarthritis - Promoting Clinical and Basic Research in Osteoarthritis
Abstract&Keyword Cite

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, R. , Yang, A. , Zhang, J. et al. PATHWAY-BASED NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH OSTEOARTHRITIS [C] . 2018 : S184-S185 .
MLA Zhang, R. et al. "PATHWAY-BASED NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH OSTEOARTHRITIS" . (2018) : S184-S185 .
APA Zhang, R. , Yang, A. , Zhang, J. , Yuan, P. , Li, J. , Dong, B. et al. PATHWAY-BASED NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH OSTEOARTHRITIS . (2018) : S184-S185 .
Export to NoteExpress RIS BibTex
EXPRESSION OF 13 SELENOPROTEIN GENES IN OSTEOARTHRITIS PATIENTS BY MICROARRAY - EVIDENCE FROM A META-ANALYSIS CPCI-S SCIE
会议论文 | 2018 , 26 , S345-S345 | OARSI World Congress on Osteoarthritis - Promoting Clinical and Basic Research in Osteoarthritis
Abstract&Keyword Cite

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, R. , Yang, A. , Zhang, J. et al. EXPRESSION OF 13 SELENOPROTEIN GENES IN OSTEOARTHRITIS PATIENTS BY MICROARRAY - EVIDENCE FROM A META-ANALYSIS [C] . 2018 : S345-S345 .
MLA Zhang, R. et al. "EXPRESSION OF 13 SELENOPROTEIN GENES IN OSTEOARTHRITIS PATIENTS BY MICROARRAY - EVIDENCE FROM A META-ANALYSIS" . (2018) : S345-S345 .
APA Zhang, R. , Yang, A. , Zhang, J. , Kang, W. , Li, J. , Yuan, P. et al. EXPRESSION OF 13 SELENOPROTEIN GENES IN OSTEOARTHRITIS PATIENTS BY MICROARRAY - EVIDENCE FROM A META-ANALYSIS . (2018) : S345-S345 .
Export to NoteExpress RIS BibTex
NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH KASHIN-BECK DISEASE CPCI-S SCIE
会议论文 | 2018 , 26 , S195-S195 | OARSI World Congress on Osteoarthritis - Promoting Clinical and Basic Research in Osteoarthritis
Abstract&Keyword Cite

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, R. , Xiong, Y. , Yang, X. et al. NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH KASHIN-BECK DISEASE [C] . 2018 : S195-S195 .
MLA Zhang, R. et al. "NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH KASHIN-BECK DISEASE" . (2018) : S195-S195 .
APA Zhang, R. , Xiong, Y. , Yang, X. , Yang, A. , Zhang, D. , Li, Z. et al. NETWORK ANALYSES AND CANDIDATE GENES ASSOCIATED WITH KASHIN-BECK DISEASE . (2018) : S195-S195 .
Export to NoteExpress RIS BibTex
KEY GENES AND PATHWAYS COMMON TO BOTH OA AND KBD CPCI-S SCIE
会议论文 | 2018 , 26 , S189-S190 | OARSI World Congress on Osteoarthritis - Promoting Clinical and Basic Research in Osteoarthritis
Abstract&Keyword Cite

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhang, R. , Yang, A. , Zhang, J. et al. KEY GENES AND PATHWAYS COMMON TO BOTH OA AND KBD [C] . 2018 : S189-S190 .
MLA Zhang, R. et al. "KEY GENES AND PATHWAYS COMMON TO BOTH OA AND KBD" . (2018) : S189-S190 .
APA Zhang, R. , Yang, A. , Zhang, J. , Yuan, P. , Shi, C. , Xiong, Y. . KEY GENES AND PATHWAYS COMMON TO BOTH OA AND KBD . (2018) : S189-S190 .
Export to NoteExpress RIS BibTex
Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia SCIE PubMed Scopus
期刊论文 | 2018 , 81 , 50-54 | PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY
WoS CC Cited Count: 5 SCOPUS Cited Count: 4
Abstract&Keyword Cite

Abstract :

Schizophrenia is a serious mental disease with high heritability. To better understand the genetic basis of schizophrenia, we conducted a large scale integrative analysis of genome-wide association study (GWAS) and expression quantitative trait loci (eQTLs) data. GWAS summary data was derived from a published GWAS of schizophrenia, containing 9394 schizophrenia patients and 12,462 healthy controls. The eQTLs dataset was obtained from an eQTLs meta-analysis of 5311 subjects, containing 923,021 cis-eQTLs for 14,329 genes and 4732 trans-eQTLs for 2612 genes. Genome-wide single gene expression association analysis was conducted by SMR software. The SMR analysis results were further subjected to gene set enrichment analysis (GSEA) to identify schizophrenia associated gene sets. SMR detected 49 genes significantly associated with schizophrenia. The top five significant genes were CRELD2 (p value = 1.65 x 10(-11)), DIP2B (p value = 3.94 x 10(-11)), ZDHHC18 (p value = 1.52 x 10(-10)) and ZDHHC5 (p value = 7.45 x 10(-10)), C11ORF75 (p value = 3.70 x 10(-9)). GSEA identified 80 gene sets with p values < 0.01. The top five significant gene sets were COWLING_MYCN_TARGETS (p value < 0.001) and CHR16P11 (p value < 0.001), ACTACCT_MIR196A_MIR196B (p value = 0.002), CELLULAR_COMPONENT_DISASSEMBLY (p value = 0.002) and GRAESSMANN RESPONSE TO MC AND DOXORUBICIN DN (p value = 0.002). Our results provide useful information for revealing the genetic basis of schizophrenia.

Cite:

Copy from the list or Export to your reference management。

GB/T 7714 Zhao, Yan , He, Awen , Zhu, Feng et al. Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia [J]. | PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY , 2018 , 81 : 50-54 .
MLA Zhao, Yan et al. "Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia" . | PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY 81 (2018) : 50-54 .
APA Zhao, Yan , He, Awen , Zhu, Feng , Ding, Miao , Hao, Jingcan , Fan, Qianrui et al. Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia . | PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY , 2018 , 81 , 50-54 .
Export to NoteExpress RIS BibTex
10| 20| 50 per page
< Page ,Total 16 >

Export

Results:

Selected

to

Format:
FAQ| About| Online/Total:2839/54768370
Address:XI'AN JIAOTONG UNIVERSITY LIBRARY(No.28, Xianning West Road, Xi'an, Shaanxi Post Code:710049) Contact Us:029-82667865
Copyright:XI'AN JIAOTONG UNIVERSITY LIBRARY Technical Support:Beijing Aegean Software Co., Ltd.