Literature DB >> 23807251

Identifying key regulatory genes in the whole blood of septic patients to monitor underlying immune dysfunctions.

Grant P Parnell1, Benjamin M Tang, Marek Nalos, Nicola J Armstrong, Stephen J Huang, David R Booth, Anthony S McLean.   

Abstract

There is currently no reliable tool available to measure immune dysfunction in septic patients in the clinical setting. This proof-of-concept study assesses the potential of gene expression profiling of whole blood as a tool to monitor immune dysfunction in critically ill septic patients. Whole-blood samples were collected daily for up to 5 days from patients admitted to the intensive care unit with sepsis. RNA isolated from whole-blood samples was assayed on Illumina HT-12 gene expression microarrays consisting of 48,804 probes. Microarray analysis identified 3,677 genes as differentially expressed across 5 days between septic patients and healthy controls. Of the 3,677 genes, biological pathway analysis identified 86 genes significantly downregulated in the sepsis patients were present in pathways relating to immune response. These 86 genes correspond to known immune pathways implicated in sepsis, including lymphocyte depletion, reduced T-lymphocyte activation, and deficient antigen presentation. Furthermore, expression levels of these genes correlated with clinical severity, with a significantly greater degree of downregulation found in nonsurvivors compared with survivors. The results show that whole-blood gene expression analysis can capture systemic immune dysfunctions in septic patients. Our study provides an experimental basis to support further study on the use of a gene expression-based assay, to assess immunosuppression, and to guide immunotherapy in future clinical trials.

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Year:  2013        PMID: 23807251     DOI: 10.1097/SHK.0b013e31829ee604

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


  39 in total

1.  Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters.

Authors:  Timothy E Sweeney; Tej D Azad; Michele Donato; Winston A Haynes; Thanneer M Perumal; Ricardo Henao; Jesús F Bermejo-Martin; Raquel Almansa; Eduardo Tamayo; Judith A Howrylak; Augustine Choi; Grant P Parnell; Benjamin Tang; Marshall Nichols; Christopher W Woods; Geoffrey S Ginsburg; Stephen F Kingsmore; Larsson Omberg; Lara M Mangravite; Hector R Wong; Ephraim L Tsalik; Raymond J Langley; Purvesh Khatri
Journal:  Crit Care Med       Date:  2018-06       Impact factor: 7.598

2.  Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis From Systemic Inflammatory Response Syndrome on Intensive Care Unit Admission.

Authors:  Sonia Y Velásquez; Anna Coulibaly; Carsten Sticht; Jutta Schulte; Bianka Hahn; Timo Sturm; Roman Schefzik; Manfred Thiel; Holger A Lindner
Journal:  Front Immunol       Date:  2022-06-30       Impact factor: 8.786

3.  Mortality Prediction in Sepsis With an Immune-Related Transcriptomics Signature: A Multi-Cohort Analysis.

Authors:  Louis Kreitmann; Maxime Bodinier; Aurore Fleurie; Katia Imhoff; Marie-Angelique Cazalis; Estelle Peronnet; Elisabeth Cerrato; Claire Tardiveau; Filippo Conti; Jean-François Llitjos; Julien Textoris; Guillaume Monneret; Sophie Blein; Karen Brengel-Pesce
Journal:  Front Med (Lausanne)       Date:  2022-06-30

Review 4.  Gene expression profiling in sepsis: timing, tissue, and translational considerations.

Authors:  David M Maslove; Hector R Wong
Journal:  Trends Mol Med       Date:  2014-02-15       Impact factor: 11.951

Review 5.  New approaches to understanding the immune response to vaccination and infection.

Authors:  David Furman; Mark M Davis
Journal:  Vaccine       Date:  2015-07-29       Impact factor: 3.641

6.  Reactive oxygen species-associated molecular signature predicts survival in patients with sepsis.

Authors:  Christian Bime; Tong Zhou; Ting Wang; Marvin J Slepian; Joe G N Garcia; Louise Hecker
Journal:  Pulm Circ       Date:  2016-06       Impact factor: 3.017

Review 7.  Risk Stratification and Prognosis in Sepsis: What Have We Learned from Microarrays?

Authors:  Timothy E Sweeney; Hector R Wong
Journal:  Clin Chest Med       Date:  2016-03-10       Impact factor: 2.878

8.  Transcriptomic depression of immunological synapse as a signature of ventilator-associated pneumonia.

Authors:  Raquel Almansa; Leonor Nogales; Marta Martín-Fernández; Montse Batlle; Esther Villareal; Lucia Rico; Alicia Ortega; Guillermo López-Campos; David Andaluz-Ojeda; Paula Ramírez; Lorenzo Socias; Luis Tamayo; Jordi Vallés; Jesús F Bermejo-Martín; Ignacio Martín-Loeches
Journal:  Ann Transl Med       Date:  2018-11

Review 9.  Endothelial Dysfunction and Neutrophil Degranulation as Central Events in Sepsis Physiopathology.

Authors:  Marta Martín-Fernández; Álvaro Tamayo-Velasco; Rocío Aller; Hugo Gonzalo-Benito; Pedro Martínez-Paz; Eduardo Tamayo
Journal:  Int J Mol Sci       Date:  2021-06-10       Impact factor: 5.923

10.  S1PR1-Associated Molecular Signature Predicts Survival in Patients with Sepsis.

Authors:  Anlin Feng; Amanda D Rice; Yao Zhang; Gabriel T Kelly; Tong Zhou; Ting Wang
Journal:  Shock       Date:  2020-03       Impact factor: 3.533

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