ABSTRACT
Objective To identify the potential long non-coding RNA (lncRNA) expressed in rheumatoid arthritis (RA) synovium key to RA onset and investigate its association with immune cell infiltration. Methods RA synovium data were downloaded from the GEO database and normalized. The lncRNAs key to RA onset were identified using multiple machine learning methods. Infiltration of 22 immune cell populations in RA synovium was measured by cell-type identification by estimating relative subsets of RNA transcripts (CIBER-SORT). The relationship between the key lncRNA and infiltrating immune cells was analyzed. Finally, real-time quantitative PCR was applied to validate the expression of the key lncRNA in RA synovial cells. Results lncRNA human leukocyte antigen complex P5(HCP5) was identified as the key lncRNA associated with RA onset. Infiltration analysis revealed increased abundance of CD8+ T cells, γδ T cells, and M1 macrophages while decreased abundance of M2 macrophages in RA synovial tissue. Correlation analysis demonstrated that the lncRNA HCP5 expression was positively associated with the infiltration abundance of CD8+ T cells, γδ T cells, and M1 macrophages in RA synovial tissue. Furthermore,the expression of lncRNA HCP5 in RA synovial cells was up-regulated. Conclusion lncRNA HCP5 expression is up-regulated in RA synovial tissue and potentially associated with immune cells infiltration.
Subject(s)
Humans , Arthritis, Rheumatoid , CD8-Positive T-Lymphocytes , HLA Antigens/metabolism , RNA, Long Noncoding/metabolism , Synovial Membrane/metabolismABSTRACT
Objective:To identify the key genes related to rheumatoid arthritis (RA) by to the weighted gene co-expression network analysis (WGCNA) and experimental verification to find key genes related to RA.Methods:The microarray data of RA were downloaded from the Gene Expression Omnibus (GEO) database. Gene network was constructed, and the genes were classified into different modules using WGCNA. HUB genes in modules related to RA clinical symptoms were analyzed by gene ontology. Subsequently, different data sets of GEO were used to verify the expression profile and diagnostic capacity of the HUB gene [receiver operating characteristic curve (ROC)]. In addition, the expression of HUB gene in RA was verified by real time polymerase chain reaction (RT-PCR) and Western blot, and the relationship between key genes and disease activity score 28 joints (DAS28) was analyzed. Paired-sample t-test and Pearson's correlation analysis was used for statistical analysis. Results:A total of 5 413 differentially expressed genes were filtered. Weighted gene coexpression network was constructed and genes were classified into 23 modules. Among them, the black module is closely related to the clinical symptoms of RA, which contained 346 genes. Enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) signal pathway analysis showed that it was to be enriched in the positive regulation of interleukin 6, interleukin 1 beta secretion, osteoclast differentiation, NOD-like receptor signaling pathway, T helper cell 17 (Th17) cell differentiation and many other pathways closely related to RA. Motile sperm domain-containing protein 2 (MOSPD2) was significantly correlated with clinical symptoms. It was highly expressed in blood monocytes and bone marrow monocytes ( t=2.238, P=0.032; t=3.153, P=0.006), and positively correlated with blood expression in RA joint synovial fluid ( r=0.683, P=0.03). ROC curve analysis determined that MOSPD2 could distinguish RA from the control group (the area under the curve was 0.855 and 0.726) respectively. RT-PCR and Western blotting results showed that MOSPD2 was up-regulated in RA patients ( t=-3.96, P=0.02). MOSPD2 expression levels in blood were positively correlated with DAS28 in RA patients ( r=0.884 6, P=0.046 2). Conclusion:MOSDP2 is closely related to the clinical symptoms of RA patients, and may be one of the targets for the diagnosis and treatment of RA.
ABSTRACT
Objective To explore the effect of motivational interviewing on the self-care of type 2 diabetic patients . Methods Totally 96 inpatients with type 2 diabetes were randomly divided into the control group and the intervention group , each group containing 48 patients. The control group received routine diabetes education, while the intervention group received face-to-face and one-by-one motivational interviewing intervention for three months. The patients′self-care level were evaluated by using diabetes self-care scale after intervention. Result After intervention, the score on the self-care behaviors including diet control, exercise therapy, medication , blood glucose monitoring and foot care were significantly higher in the intervention group than those in the control group (P < 0.01). Conclusion Motivational interviewing can improve the ability of type 2 diabetic patients to control the glycemic level.
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Objective To investigate the expression of miRNA-16 in peripheral blood monouclear cells (PBMC)from systemic lupus erythematosus( SLE)patients. Methods Sixteen SLE patients who meet the diagnostic criteria of SLE revised in 1997 American rheumatology and 12 healthy individuals were selected as our subjects. Their peripheral blood were sampled. Total RNAs were extracted and purified. The level of miRNA-16 was determined by quantitative reverse transcription PCR( qRT-PCR). U6 was used as housekeeping control. The amount of target miRNA was normalized relative to the amount of U6(ΔCt =ΔCt miRNA-ΔCtU6 ). Relative expression levels were expressed as 2-ΔCt . Results The expression level of miRNA-16 in the SLE patients was 919. 87 ± 715. 45,significantly higher than that in the healthy control group(413. 6 3 ± 330. 69;t= -2. 497,P﹤0. 05). And miRNA-16 expression in SLE active group was 1 298. 79 ± 803. 79,significantly higher than that in SLE stable group(540. 95 ± 350. 15;t= -2. 445,P﹤0. 05). The level of miRNA-16 was related with AnuA (r=0. 669,P=0. 005),ESR(r=0. 608,P=0. 012)and SLEDAI(r=0. 530,P=0. 035). Conclusion The expression of miRNA-16 is high in SLE patients and it is related with SLE activity.