2014
DOI: 10.1186/s40635-014-0020-3
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Early and dynamic changes in gene expression in septic shock patients: a genome-wide approach

Abstract: BackgroundAs early and appropriate care of severe septic patients is associated with better outcome, understanding of the very first events in the disease process is needed. Pan-genomic analyses offer an interesting opportunity to study global genomic response within the very first hours after sepsis.The objective of this study was to investigate the systemic genomic response in severe intensive care unit (ICU) patients and determine whether patterns of gene expression could be associated with clinical severit… Show more

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Cited by 90 publications
(84 citation statements)
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“…28 septic shock patients and 25 HV admitted into 2 ICUs of HCL were included in this study to explore the early transcriptome modulation after septic shock. Inclusion / exclusion criteria, clinical description and ethical considerations of the cohort have been previously published elsewhere (Cazalis et al 2014). The first blood sample was collected at the onset of shock (i.e., within 30 min after the beginning of vasoactive treatment, D0) and at day 1 (D1) and day 2 (D2) after shock.…”
Section: Methodsmentioning
confidence: 99%
“…28 septic shock patients and 25 HV admitted into 2 ICUs of HCL were included in this study to explore the early transcriptome modulation after septic shock. Inclusion / exclusion criteria, clinical description and ethical considerations of the cohort have been previously published elsewhere (Cazalis et al 2014). The first blood sample was collected at the onset of shock (i.e., within 30 min after the beginning of vasoactive treatment, D0) and at day 1 (D1) and day 2 (D2) after shock.…”
Section: Methodsmentioning
confidence: 99%
“…To date, time series analyzing changes in gene expression have been focused on animal models of sepsis (34), the endotoxin response in healthy volunteers (35), the response to trauma and subsequent infection (26), and early events in sepsis (29), and authors of a recent analysis of timematched cohorts defined a gene set distinguishing sterile inflammation from infectious inflammation (12). In general, clearer resolution of temporal differences is critical to resolving heterogeneity in observed sepsis responses within and between patients.…”
Section: Discussionmentioning
confidence: 99%
“…Interpretation of gene expression patterns in sepsis may be complicated by dynamic differences in the host response over time (10,29). We explored temporal changes in gene expression for patients with FP and patients with CAP from whom serial samples following ICU admission were available.…”
Section: Temporal Changes In Gene Expressionmentioning
confidence: 99%
“…Although great improvements have been achieved, SS continues to be the leading cause of mortality in ICU all over the globe [43]. The increased protein expression of AngII type 1 receptor was associated with increased 28-day mortality in SS as well as decreased blood pressure [44].…”
Section: Discussionmentioning
confidence: 99%