Dataset Information

Significant transcriptome and cytokine changes in hepatitis B vaccine non-responders revealed by genome-wide comparative analysis.

ABSTRACT: Individuals fail to elicit protective antibody after hepatitis B vaccination remain at risk for hepatitis B virus infection. Analysis of the transcriptome of peripheral blood mononuclear cells (PBMCs) is essential to elucidate the characteristics of gene expression in non-responders. In this study, we enrolled seven responders who had received three injections and seven non-responders who had six injections of hepatitis B vaccine before. All the participants were then vaccinated with a three-dose boost regimen. Microarray analysis and Luminex assay were applied to examine mRNA expression and Th1/Th2/Th9/Th17/Th22/Treg cytokine and chemokine profiles in non-responders and responders. Differentially expressed genes in PBMCs of non-responders at 5 time points, i.e. pre-vaccination, 3rd, 7th, 28th day post the first dose vaccination and 7th day post the second dose vaccination indicated a dense network trend. Compared with responders, nine coding genes (BPI, DEFA1B, DEFA4, CEACAM8, MMP8, FOLR3, LTF, TCN1 and TKTL1) were significantly up-regulated in non-responders at all 5 time points, which could probably be the characteristic genes in hepatitis B vaccine non-responsiveness. Gene ontology analysis revealed that most of the DEGs were related with immune responses. Validation results of these 9 genes using quantitative real-time polymerase chain reaction were mostly consistent with the results of microarray. Cytokine analysis demonstrated that IL-27 and CXCL12 concentrations in responders were significantly higher than non-responders on the 3rd day after the first dose and 7th day after the second dose of vaccination, respectively. No significant difference was observed in other cytokine and chemokine signatures between the two groups. In conclusion, our results revealed characteristic transcriptome and cytokine changes in hepatitis B vaccine non-responders after boost immunization.

SUBMITTER: Qiu S

PROVIDER: S-EPMC6067885 | biostudies-other | 2018 Jul

REPOSITORIES: biostudies-other

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Significant transcriptome and cytokine changes in hepatitis B vaccine non-responders revealed by genome-wide comparative analysis.

Qiu Shaohui S He Peng P Fang Xin X Tong Haiqing H Lv Jingjing J Liu Jiaye J Zhang Li L Zhai Xiangjun X Wang Liying L Hu Zhongyu Z Yu Yongli Y

Human vaccines & immunotherapeutics 20180514 7

Individuals fail to elicit protective antibody after hepatitis B vaccination remain at risk for hepatitis B virus infection. Analysis of the transcriptome of peripheral blood mononuclear cells (PBMCs) is essential to elucidate the characteristics of gene expression in non-responders. In this study, we enrolled seven responders who had received three injections and seven non-responders who had six injections of hepatitis B vaccine before. All the participants were then vaccinated with a three-dos ...[more]

PMID: 29580160

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Project description:BACKGROUND: Toxoplasma gondii is an intracellular parasite that can modulate host responses and presumably host behavior. Host responses as well as pathogenesis vary depending on the parasite strains that are responsible for infection. In immune competent individuals, T. gondii preferentially infects tissues of the central nervous systems (CNS), which might be an additional factor in certain psychiatric disorders. While in immune-compromised individuals and pregnant women, the parasite can cause life-threatening infections. With the availability of the genome-wide investigation platform, the global responses in gene expression of the host after T. gondii infection can be systematically investigated. METHODS: Total RNA of brain tissues and peripheral lymphocytes of BALB/C mice infected with RH and ME 49 strain T. gondii as well as that of healthy mice were purified and converted to cRNA with incorporated Cy5-CTP (experimental samples), or Cy3-CTP (control samples). The labeled cRNA probes were hybridized to the Whole Mouse Genome Microarray. The impact of parasite infection on gene expression in both brain tissues and peripheral lymphocytes were analyzed. Differentially expressed genes were revalidated with real-time quantitative reverse transcriptase-polymerase chain reaction (Q-PCR). RESULTS: Data indicated that the genes associated with immunity were up-regulated after infection by the two parasite strains, but significant up-regulation was observed in both brain tissues and peripheral lymphocytes of mice infected with ME49 strain compared to that infected by RH strain. The pathways related to pathogenesis of the nervous system were more significantly up-regulated in mice infected with RH strain. CONCLUSIONS: Genetically distinct T. gondii strains showed clear differences in modulation of host pathophysiological and immunological responses in both brain tissue and peripheral lymphocytes. It was likely that some of the host responses to T. gondii infection were universal, but the immune response and CNS reaction were in a strain-specific manner.

Project description:BackgroundSomatic Copy Number Alterations (CNAs) in human genomes are present in almost all human cancers. Systematic efforts to characterize such structural variants must effectively distinguish significant consensus events from random background aberrations. Here we introduce Significant Aberration in Cancer (SAIC), a new method for characterizing and assessing the statistical significance of recurrent CNA units. Three main features of SAIC include: (1) exploiting the intrinsic correlation among consecutive probes to assign a score to each CNA unit instead of single probes; (2) performing permutations on CNA units that preserve correlations inherent in the copy number data; and (3) iteratively detecting Significant Copy Number Aberrations (SCAs) and estimating an unbiased null distribution by applying an SCA-exclusive permutation scheme.ResultsWe test and compare the performance of SAIC against four peer methods (GISTIC, STAC, KC-SMART, CMDS) on a large number of simulation datasets. Experimental results show that SAIC outperforms peer methods in terms of larger area under the Receiver Operating Characteristics curve and increased detection power. We then apply SAIC to analyze structural genomic aberrations acquired in four real cancer genome-wide copy number data sets (ovarian cancer, metastatic prostate cancer, lung adenocarcinoma, glioblastoma). When compared with previously reported results, SAIC successfully identifies most SCAs known to be of biological significance and associated with oncogenes (e.g., KRAS, CCNE1, and MYC) or tumor suppressor genes (e.g., CDKN2A/B). Furthermore, SAIC identifies a number of novel SCAs in these copy number data that encompass tumor related genes and may warrant further studies.ConclusionsSupported by a well-grounded theoretical framework, SAIC has been developed and used to identify SCAs in various cancer copy number data sets, providing useful information to study the landscape of cancer genomes. Open-source and platform-independent SAIC software is implemented using C++, together with R scripts for data formatting and Perl scripts for user interfacing, and it is easy to install and efficient to use. The source code and documentation are freely available at http://www.cbil.ece.vt.edu/software.htm.

Dataset Information

Significant transcriptome and cytokine changes in hepatitis B vaccine non-responders revealed by genome-wide comparative analysis.

Publications

Significant transcriptome and cytokine changes in hepatitis B vaccine non-responders revealed by genome-wide comparative analysis.

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