Literature DB >> 15001460

Differential gene expression in gram-negative and gram-positive sepsis.

Sung-Liang Yu1, Huei-Wen Chen, Pan-Chyr Yang, Konan Peck, Min-Hui Tsai, Jeremy J W Chen, Fang-Yue Lin.   

Abstract

Sepsis is the most common cause of death in patients in the intensive care unit. Genome-wide gene expression analysis can provide insights into the molecular alterations of sepsis. Total mRNA was extracted from the livers of 6 uninfected control mice and 60 septic mice after infusion of either live Escherichia coli or Staphylococcus aureus. Using a murine complementary DNA microarray system, changes in gene expression were monitored at six time points (uninfected, 2, 8, 24, 48, and 72 hours). Overall, 4.8% of 6,144 assessed genes were differentially regulated with a greater than twofold change across all time points. Most of the genes with altered expression were commonly present in gram-negative and gram-positive sepsis, but the expression levels of 17 genes were different between both types of sepsis at particular time points after infection. The microarray results support the hypothesis that both gram-positive and gram-negative sepsis share a final common pathway involved in the pathogenesis of sepsis, but certain genes are differentially expressed under distinct regulation. These results may provide insights into the pathogenesis of sepsis and may also help identify some altered genes that can serve as new targets for diagnostic tools and therapeutic strategies.

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Year:  2004        PMID: 15001460     DOI: 10.1164/rccm.200211-1278OC

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  26 in total

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Journal:  Intensive Care Med       Date:  2011-11-24       Impact factor: 17.440

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Review 6.  Clinical review: the role of biomarkers in the diagnosis and management of community-acquired pneumonia.

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Review 8.  Gene expression profiling in sepsis: timing, tissue, and translational considerations.

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Review 9.  Monitoring immune dysfunctions in the septic patient: a new skin for the old ceremony.

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Review 10.  In silico modeling: methods and applications to trauma and sepsis.

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Journal:  Crit Care Med       Date:  2013-08       Impact factor: 7.598

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