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1.
Article in English | WPRIM | ID: wpr-921385

ABSTRACT

OBJECTIVES@#To identify the differentially expressed genes (DEGs) during the pathogenesis of periodontitis by bioinformatics analysis.@*METHODS@#GEO2R was used to screen DEGs in GSE10334 and GSE16134. Then, the overlapped DEGs were used for further analysis. g:Profiler was used to perform Gene Ontology analysis and pathway analysis for upregulated and downregulated DEGs. The STRING database was used to construct the protein-protein interaction (PPI) network, which was further visua-lized and analyzed by Cytoscape software. Hub genes and key modules were identified by cytoHubba and MCODE plug-ins, respectively. Finally, transcription factors were predicted via iRegulon plug-in.@*RESULTS@#A total of 196 DEGs were identified, including 139 upregulated and 57 downregulated DEGs. Functional enrichment analysis showed that the upregulated DEGs were mainly enriched in immune-related pathways including immune system, viral protein interaction with cytokine and cytokine receptor, cytokine-cytokine receptor interaction, leukocyte transendothelial migration, and chemokine receptors bind chemokines. On the contrary, the downregulated DEGs were mainly related to the formation of the cornified envelope and keratinization. The identified hub genes in the PPI network were CXCL8, CXCL1, CXCR4, SEL, CD19, and IKZF1. The top three modules were involved in chemokine response, B cell receptor signaling pathway, and interleukin response, respectively. iRegulon analysis revealed that IRF4 scored the highest.@*CONCLUSIONS@#The pathogenesis of periodontitis was closely associated with the expression levels of the identified hub genes including CXCL8, CXCL1, CXCR4, SELL, CD19, and IKZF1. IRF4, the predicted transcription factor, might serve as a dominant upstream regulator.


Subject(s)
Computational Biology , Gene Expression Profiling , Humans , Microarray Analysis , Periodontitis , Protein Interaction Maps
2.
Article in Chinese | WPRIM | ID: wpr-264018

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the value of five-repetition sit-to-stand test (5STS) in clinical evaluation of elderly patients with chronic obstructive pulmonary disease (COPD).</p><p><b>METHODS</b>Fifty-one patients with COPD and 20 healthy individuals were enrolled in this study. All the participants underwent 5STS, pulmonary function examination, and 6 min walking test (6MWT) and were evaluated for severity of dyspnea (by mMRC) and BODE index during the tests.</p><p><b>RESULTS</b>All the participants completed 5STS test with a good reproducibility of the time used for 3 sessions of the test (P<0.001). The mean time used by COPD patients for 5STS was significantly longer than that by healthy individuals (12.93±3.11s vs 0.72±0.71 s, P=0.002). The results of 5STS showed a significant negative correlation with those of 6MWT in the case group and control group with correlation coefficients of -0.611 and -0.682, respectively. The results of 5STS were negatively correlated with FEV1%Pre and body mass index (P<0.05) but positively with mMRC and BODE index in COPD patients (P<0.05).</p><p><b>CONCLUSION</b>5STS is a simple and reproducible test to evaluate the patients' exercise capacity and the severity of COPD, and is well correlated with the current methods for clinical evaluation of COPD.</p>


Subject(s)
Body Mass Index , Case-Control Studies , Dyspnea , Exercise Test , Humans , Pulmonary Disease, Chronic Obstructive , Diagnosis , Reproducibility of Results , Respiratory Function Tests , Walking
3.
Chinese Medical Journal ; (24): 4510-4516, 2013.
Article in English | WPRIM | ID: wpr-327539

ABSTRACT

<p><b>BACKGROUND</b>Sensitive and specific biomarkers for identifying early stage of non-small cell lung cancer (NSCLC) are urgently needed to improve the therapeutic outcome and reduce the mortality. Small non-coding microRNAs (miRNAs) are key components of cancer development and are considered as potential biomarkers for cancer diagnosis and for monitoring treatment. The aim of this study was to determine whether aberrant miRNA expression can be used as a marker in peripheral blood mononuclear cells (PBMC) for the diagnosis of NSCLC.</p><p><b>METHODS</b>The levels of two mature miRNAs (miR-143 and miR-150) were detected by probe-based stem-loop quantitative reverse-transcriptase PCR (RT-qPCR) in PBMC of 64 patients with NSCLC and 26 healthy individuals, and the relationship between miR-143 and miR-150 levels and clinical and pathological factors was explored.</p><p><b>RESULTS</b>All endogenous miRNAs were present in peripheral blood in a remarkably stable form and detected by RT-qPCR. MiR-143 expression in the PBMC specimens was significantly lower in NSCLC patients than in healthy individuals (P < 0.0001). MiR-150 expression in the PBMC specimens was not significantly different between NSCLC patients and healthy individuals (P = 0.260). MiR-150 expression was significantly higher in lung adenocarcinoma patients than in healthy individuals (P = 0.001). There was a very strong difference in the expression level of miR-150 between lung adenocarcinoma patients and lung squamous cell carcinoma patients (P < 0.0001). In receiver operating characteristic curve (ROC) analysis, low expression of miR-143 showed the area under the ROC (AUC) of 0.885 for distinguishing cancer patients from healthy subjects. High expression of miR-150 had an AUC of 0.834 for distinguishing lung adenocarcinoma patients from healthy subjects. High expression of miR-150 had an AUC of 0.951 for distinguishing lung adenocarcinoma from lung squamous cell carcinoma. The miR-150 level was significantly associated with distant metastasis (P = 0.014).</p><p><b>CONCLUSIONS</b>It is indicated that there is a potential for using miR-143 as a novel diagnostic biomarker for NSCLC. Moreover, miR-150 can be a highly accurate marker for differentiating adenocarcinoma from squamous cell carcinoma.</p>


Subject(s)
Aged , Carcinoma, Non-Small-Cell Lung , Diagnosis , Genetics , Female , Gene Expression Regulation, Neoplastic , Humans , Leukocytes, Mononuclear , Metabolism , Male , MicroRNAs , Genetics , Middle Aged
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