Septic shock in advanced age: Transcriptome analysis reveals altered molecular signatures in neutrophil granulocytes
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ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Eduardo Reis
PROVIDER: E-GEOD-67652 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Timely and reliable distinction of non-infectious systemic inflammatory response syndrome (SIRS), common in critically ill patients, from sepsis to support adequate antimicrobial therapy safes lives but is clinically challenging. Expeditious sepsis biomarkers are thus urgently sought. Blood transcriptional profiling provides insights into sepsis pathophysiology, but variability in leukocyte subtype composition complicates profile interpretation, and reliable reference genes to normalize gene expression in sepsis are lacking. Here, we identified AKIRIN1 as a reference gene, specifically, in peripheral NK cells and granulocytes for differential gene expression analysis between patients with SIRS and septic shock on intensive care unit admission. Discovery by a two-step probabilistic selection from microarray data followed by validation through branched DNA assays in independent patients revealed several candidate reference genes in NK cells, namely, AKIRIN1, PPP6R3, TAX1BP1, and ADRBK1. For in vitro priming of NK cells, GUSB however was confirmed as reference gene of choice. Initially, no candidate genes could be validated in granulocytes, an additional rescreen of known reference genes by RT-PCR included. By serendipity, we could determine equal AKIRIN1 expression levels also in SIRS and septic shock granulocytes and no change by in vitro challenge of granulocytes with LPS. Inspection of four external neutrophil transcriptome datasets further support unchanged AKIRIN1 expression in human systemic inflammation. Invariable AKIRIN1 expression in peripheral NK cells and granulocytes needs further validation in sepsis and other infectious and inflammatory diseases. As a reference gene in these cells and conditions, AKIRIN1 may further our understanding of innate immunity and lead to new biomarkers.
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Project description:Transcriptional profiling of granulocytes from 24 subjects was used to investigate their differences regarding sepsis and aging.
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Project description:Timely and reliable distinction of non-infectious systemic inflammatory response syndrome (SIRS), common in critically ill patients, from sepsis to support adequate antimicrobial therapy safes lives but is clinically challenging. Expeditious sepsis biomarkers are thus urgently sought. Blood transcriptional profiling provides insights into sepsis pathophysiology, but variability in leukocyte subtype composition complicates profile interpretation, and reliable reference genes to normalize gene expression in sepsis are lacking. Here, we identified AKIRIN1 as a reference gene, specifically, in peripheral NK cells and granulocytes for differential gene expression analysis between patients with SIRS and septic shock on intensive care unit admission. Discovery by a two-step probabilistic selection from microarray data followed by validation through branched DNA assays in independent patients revealed several candidate reference genes in NK cells, namely, AKIRIN1, PPP6R3, TAX1BP1, and ADRBK1. For in vitro priming of NK cells, GUSB however was confirmed as reference gene of choice. Initially, no candidate genes could be validated in granulocytes, an additional rescreen of known reference genes by RT-PCR included. By serendipity, we could determine equal AKIRIN1 expression levels also in SIRS and septic shock granulocytes and no change by in vitro challenge of granulocytes with LPS. Inspection of four external neutrophil transcriptome datasets further support unchanged AKIRIN1 expression in human systemic inflammation. Invariable AKIRIN1 expression in peripheral NK cells and granulocytes needs further validation in sepsis and other infectious and inflammatory diseases. As a reference gene in these cells and conditions, AKIRIN1 may further our understanding of innate immunity and lead to new biomarkers.
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Project description:The wide array of molecules carried by plasma regulates critical immune functions and constitutes valuable biomarkers and therapeutic targets. In recent years the introduction of “systems approaches” has provided investigators with powerful means for assessing immune responses in patient samples on a global scale. However, while the use of genome-wide profiling technologies has become widespread, measuring the plasma proteome still presents considerable challenges. An alternative approach that consists in measuring transcriptome responses in reporter cells exposed in vitro to patient plasma has been successfully employed in a limited number of studies. Here we devised such a “Transcriptomic Reporter Assay” system to assess the immunogenicity of plasma from septic patients and evaluate its potential for biomarker discovery. Sepsis is a common, severe systemic infectious process for which physicians still lack efficient diagnostic or prognostic tools. Of the three different cell reporter systems tested, neutrophils were identified as the most capable “plasma sensor”. Compared to peripheral blood mononuclear cells and dendritic cell preparations neutrophils were best able to discriminate between plasma from septic and control subjects and responded by upregulating a robust immune transcriptional program. Additionally, the amplitude of the neutrophil transcriptomic response was shown to be associated with disease severity in two additional sets of patients. Overall, our results demonstrate both the suitability and potential clinical relevance of a neutrophil reporter assay for assessing immunopathogenic processes in a complex and severe condition such as sepsis. Peripheral blood mononuclear cells (PBMCs) were isolated from two healthy donors. Plasma samples were obtained from patients with culture-confirmed sepsis (n=12) and from uninfected controls (n=12). PBMCs were cultured for 6 h in medium alone, plasma from patients with sepsis, plasma from uninfected controls, and LPS using a final concentration of 20%. Transcriptional profiles were acquired using Illumina HumanHT12 V4 BeadChips.
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