55
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Characterization of early host responses in adults with dengue disease

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          While dengue-elicited early and transient host responses preceding defervescence could shape the disease outcome and reveal mechanisms of the disease pathogenesis, assessment of these responses are difficult as patients rarely seek healthcare during the first days of benign fever and thus data are lacking.

          Methods

          In this study, focusing on early recruitment, we performed whole-blood transcriptional profiling on denguevirus PCR positive patients sampled within 72 h of self-reported fever presentation (average 43 h, SD 18.6 h) and compared the signatures with autologous samples drawn at defervescence and convalescence and to control patients with fever of other etiology.

          Results

          In the early dengue fever phase, a strong activation of the innate immune response related genes were seen that was absent at defervescence (4-7 days after fever debut), while at this second sampling genes related to biosynthesis and metabolism dominated. Transcripts relating to the adaptive immune response were over-expressed in the second sampling point with sustained activation at the third sampling. On an individual gene level, significant enrichment of transcripts early in dengue disease were chemokines CCL2 (MCP-1), CCL8 (MCP-2), CXCL10 (IP-10) and CCL3 (MIP-1α), antimicrobial peptide β-defensin 1 (DEFB1), desmosome/intermediate junction component plakoglobin (JUP) and a microRNA which may negatively regulate pro-inflammatory cytokines in dengue infected peripheral blood cells, mIR-147 (NMES1).

          Conclusions

          These data show that the early response in patients mimics those previously described in vitro, where early assessment of transcriptional responses has been easily obtained. Several of the early transcripts identified may be affected by or mediate the pathogenesis and deserve further assessment at this timepoint in correlation to severe disease.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          In silico prediction of protein-protein interactions in human macrophages

          Background: Protein-protein interaction (PPI) network analyses are highly valuable in deciphering and understanding the intricate organisation of cellular functions. Nevertheless, the majority of available protein-protein interaction networks are context-less, i.e. without any reference to the spatial, temporal or physiological conditions in which the interactions may occur. In this work, we are proposing a protocol to infer the most likely protein-protein interaction (PPI) network in human macrophages. Results: We integrated the PPI dataset from the Agile Protein Interaction DataAnalyzer (APID) with different meta-data to infer a contextualized macrophage-specific interactome using a combination of statistical methods. The obtained interactome is enriched in experimentally verified interactions and in proteins involved in macrophage-related biological processes (i.e. immune response activation, regulation of apoptosis). As a case study, we used the contextualized interactome to highlight the cellular processes induced upon Mycobacterium tuberculosis infection. Conclusion: Our work confirms that contextualizing interactomes improves the biological significance of bioinformatic analyses. More specifically, studying such inferred network rather than focusing at the gene expression level only, is informative on the processes involved in the host response. Indeed, important immune features such as apoptosis are solely highlighted when the spotlight is on the protein interaction level.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Insights into host responses against pathogens from transcriptional profiling.

            DNA microarrays have allowed us to monitor the effects of pathogens on host-cell gene expression programmes in great depth and on a broad scale. The comparison of results that have been generated by these studies is complex, and such a comparison has not previously been attempted in a systematic manner. In this review, we have collated and compared published transcriptional-profiling data from 32 studies that involved 77 different host-pathogen interactions, and have defined a common host-transcriptional-response. We outline gene expression patterns in the context of Toll-like receptor and pathogen-mediated signalling pathways, and summarize the contributions that transcriptional-profiling studies have made to our understanding of the infectious disease process.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              miR-147, a microRNA that is induced upon Toll-like receptor stimulation, regulates murine macrophage inflammatory responses.

              Toll-like receptors (TLRs) are major receptors that enable inflammatory cells to recognize invading microbial pathogens. MicroRNAs are small non-coding RNAs that play important regulatory roles in a variety of biological processes. In this study, we found that a microRNA, miR-147, was induced upon stimulation of multiple TLRs and functioned as a negative regulator of TLR-associated signaling events in murine macrophages. We first demonstrated that the NMES1 transcript was a functional primary miR-147. miR-147 was induced in LPS-stimulated mouse macrophages and under in vivo conditions in the lungs of LPS-treated mice. Expression of miR-147 was greater after cellular activation by TLR4 than after engagement of either TLR2 or TLR3, suggesting that maximal induction of miR-147 required activation of both NF-kappaB and IRF3. TLR4-induced miR-147 expression was both MyD88- and TRIF-dependent. The miR-147 promoter was responsive to TLR4 stimulation and both NF-kappaB and STAT1alpha bound to the miR-147 promoter. miR-147 mimics or induced expression of miR-147 decreased, whereas miR-147 knockdown increased inflammatory cytokine expression in macrophages stimulated with ligands to TLR2, TLR3, and TLR4. These data demonstrate a negative-feedback loop in which TLR stimulation induces miR-147 to prevent excessive inflammatory responses.
                Bookmark

                Author and article information

                Journal
                BMC Infect Dis
                BMC Infectious Diseases
                BioMed Central
                1471-2334
                2011
                2 August 2011
                : 11
                : 209
                Affiliations
                [1 ]Genome Institute of Singapore, 60 Biopolis Street #02-01 Genome, Singapore, 138672, Singapore
                [2 ]Infectious Disease Unit, Department of Medicine, Karolinska University Hospital, Karolinska Institutet, 17176, Stockholm, Sweden
                [3 ]Novartis Institute for Tropical Diseases, 10 Biopolis Road #05-01 Chromos, Singapore, 138670, Singapore
                [4 ]DUKE-NUS Graduate Medical School, 8 College Road, Singapore, 169857, Singapore
                Article
                1471-2334-11-209
                10.1186/1471-2334-11-209
                3163546
                21810247
                cc083020-4305-4622-b544-2305b586ba40
                Copyright ©2011 Tolfvenstam et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 January 2011
                : 2 August 2011
                Categories
                Research Article

                Infectious disease & Microbiology
                Infectious disease & Microbiology

                Comments

                Comment on this article