11 research outputs found

    Pengaruh Komunikasi Terapeutik Perawat Terhadap Kepuasan Pasien Di Rawat Jalan RSUD Jogja

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    The Objective of this study is to know influence of nurse therapeutic communication to satisfaction of patients satisfaction in RSUD Yogyakarta. The study was a quantitative research methods such as surveys of descriptive inferential research with cross sectional approach. Number of samples in this research is 285 sample in inpatient and 140 in emergency room. The instrument used a questionnaire. Analysis of data using multiple linear regression. This study show that there is the influence of therapeutic communication nurse to satisfaction of outpatients and Emergency room in RSUD Yogyakarta, and orientation phase is a phase that most influence on patient satisfaction. The most influential to therapeutic communication is termination stage

    IL-22 is involved in the progression of late-phase EAU.

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    <p>Rbpj<sup>f/f</sup>-CD4 and Rbpj<sup>+/+</sup>-CD4 mice were immunized with IRBP to induce EAU and EAU clinical scores were evaluated until day 39. rIL-22 was administered to the mice according to the following schedules; the day of IRBP immunization is day 0. (A) 3-day intervals (from day 1 to day 13), (B) 3-day intervals (from day 14 to day 39), (C) 3-day intervals (from day 1 to day 39). The data are the mean ± SD with five mice per group. **<i>p</i><0.01. The data in this Figure are representative of three independent experiments.</p

    <i>Rbpj</i> deficiency in CD8<sup>+</sup> T cells does not alter EAU susceptibility.

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    <p>Rbpj<sup>f/f</sup>-E8I and Rbpj<sup>+/+</sup>-E8I mice were immunized with IRBP to induce EAU and EAU clinical scores were evaluated until day 39. The data are the mean ± SD with five mice per group. The score for each mouse was the average for both eyes. The data in this Figure are representative of three independent experiments.</p

    <i>Rbpj</i> deficiency in T cells reduces of IL-22 production.

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    <p>Rbpj<sup>f/f</sup>-CD4 and Rbpj<sup>+/+</sup>-CD4 mice were immunized with IRBP and CD4<sup>+</sup> T cells were purified from draining lymph nodes 7 days after immunization. Purified CD4<sup>+</sup> T cells were cultured with irradiated spleen cells from B6 mice in the presence of IRBP protein (50 µg/ml) for 3 days. (A) IL-17 in culture supernatants was evaluated by ELISA. (B) mRNA was purified from CD4<sup>+</sup> T cells 7 days after immunization and the relative levels of <i>Rorc</i> against <i>Actin</i> were evaluated by real-time PCR. (C) IL-22 and IFN-γ in culture supernatants 72 hours after stimulation of purified CD4<sup>+</sup> T cells from Rbpj<sup>f/f</sup>-CD4 and Rbpj<sup>+/+</sup>-CD4 mice immunized with IRBP (7 days previously) was evaluated by ELISA. The data are the mean ± SD from triplicate cultures. **<i>p</i><0.01. The data in this Figure are representative of three independent experiments.</p

    <i>Rbpj</i> deficiency in T cells ameliorates the induction of EAU.

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    <p>(A) Rbpj<sup>f/f</sup>-CD4 and Rbpj<sup>+/+</sup>-CD4 mice were immunized with IRBP to induce EAU and EAU clinical scores were evaluated until day 39. The data are the mean ± SD with five mice per group. **<i>p</i><0.01. The score for each mouse was the average for both eyes. (B) Purified CD4<sup>+</sup> T cells from Rbpj<sup>f/f</sup>-CD4 and Rbpj<sup>+/+</sup>-CD4 mice immunized with IRBP were stimulated with increasing doses of IRBP protein and their proliferative responses to antigen were measured by [<sup>3</sup>H] thymidine uptake. The results shown are the mean ± SD for triplicate cultures. **<i>p</i><0.01. The data in this Figure are representative of three independent experiments.</p

    GSI treatment is useful to treat EAU.

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    <p>B6 mice were immunized with IRBP to induce EAU and EAU clinical scores were evaluated until day 39. GSI was administered to the mice according to the following schedules; the day of IRBP immunization is day 0. 2-day intervals (from day 13 to day 39). (A) CD4 and CD8 expression in the draining lymph nodes at day 14 were evaluated by flow cytometry. (B) CD4<sup>+</sup> T cells were purified from draining lymph nodes of mice that received GSI or DMSO 1 day before and expression of <i>Hes1</i> was evaluated by PCR (from left to right; 100 ng, 10 ng, 1 ng of mRNA). (C) EAU clinical scores, (D) CD4<sup>+</sup> T cells were purified from draining lymph nodes on day 12. Purified CD4<sup>+</sup> T cells were cultured with irradiated spleen cells from B6 mice in the presence of IRBP protein (50 µg/ml) for 3 days. IL-22 in culture supernatants was evaluated by ELISA. The data are the mean ± SD of triplicate cultures. **<i>p</i><0.01. The data in this Figure are representative of three independent experiments.</p

    Additional file 2: Figure S1. of Global, cancer-specific microRNA cluster hypomethylation was functionally associated with the development of non-B non-C hepatocellular carcinoma

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    Correlation coefficients between methylation/expression change of microRNAs within selected microRNA clusters (1p36.31, 1q24.3, 2p16.1, and 7q32.2). The selected clusters consist of the most and 2nd most up-/down- regulated clusters (see Supplementary Table S3). (TIFF 3351 kb

    Additional file 1: of Global, cancer-specific microRNA cluster hypomethylation was functionally associated with the development of non-B non-C hepatocellular carcinoma

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    Table S1. A general linear model for average methylation change attributed to genomic annotations of the probes. Table S2. A linear mixed model for miRNA expression change between tumor and background tissues attributed to their methylation change stratified by distance from CpG island and transcription start site. Table S3. Summary for methylation and expression of miRNA clusters. (Expression difference was z-transformed after obtaining log-ratio between background and tumor tissues. Thus, it was not equal to simple subtraction of background from tumor). Table S4. A linear mixed model for miRNA cluster expression (average within each cluster) change attributed to average cluster methylation change. Table S5. A linear mixed model for expression change of general protein-coding genes between tumor and background tissues attributed to their methylation change stratified by distance from CpG island and transcription start site. Table S6. A linear mixed model for target gene expression change between tumor and background tissues attributed to corresponding miRNA methylation change. (DOC 252 kb

    Additional file 3: Figure S2. of Global, cancer-specific microRNA cluster hypomethylation was functionally associated with the development of non-B non-C hepatocellular carcinoma

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    Association between methylation levels of microRNA-coding regions and microRNA expression. A. Scatter plots showing correlation between clustered microRNA expression and methylation stratified by background and tumor tissues. B. Chromosome-wide correlation coefficients between methylation level as determined by each probe and corresponding microRNA expression. (TIFF 2122 kb

    Additional file 4: Figure S3. of Predictive biomarkers for the efficacy of peptide vaccine treatment: based on the results of a phase II study on advanced pancreatic cancer

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    Frequency of CD4+ CD45RA- CD25high cells and CD11b + CD33+ cells. (a), (c) There were no differences in the percentages of CD4+ CD45RA- CD25high cells and CD11b + CD33+ cells in the 46 patients before and after treatment. (b), (e) Before and after treatment, there were no differences in the percentages of CD4+ CD45RA- CD25high cells and CD11b + CD33+ cells between the patients with a long survival (n = 6) and the patients with a short survival (n = 19) in the HLA-A*2402-matched group. (c), (f) Before and after treatment, there were no differences in the percentages of CD4+ CD45RA- CD25high cells and CD11b + CD33+ cells between the patients with a long survival (n = 6) and the patients with a short survival (n = 15) in the HLA-A*2402-unmatched group. (TIF 60 kb
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