A network-based analysis of systemic inflammation in humans.

Abstract:

:Oligonucleotide and complementary DNA microarrays are being used to subclassify histologically similar tumours, monitor disease progress, and individualize treatment regimens. However, extracting new biological insight from high-throughput genomic studies of human diseases is a challenge, limited by difficulties in recognizing and evaluating relevant biological processes from huge quantities of experimental data. Here we present a structured network knowledge-base approach to analyse genome-wide transcriptional responses in the context of known functional interrelationships among proteins, small molecules and phenotypes. This approach was used to analyse changes in blood leukocyte gene expression patterns in human subjects receiving an inflammatory stimulus (bacterial endotoxin). We explore the known genome-wide interaction network to identify significant functional modules perturbed in response to this stimulus. Our analysis reveals that the human blood leukocyte response to acute systemic inflammation includes the transient dysregulation of leukocyte bioenergetics and modulation of translational machinery. These findings provide insight into the regulation of global leukocyte activities as they relate to innate immune system tolerance and increased susceptibility to infection in humans.

journal_name

Nature

journal_title

Nature

authors

Calvano SE,Xiao W,Richards DR,Felciano RM,Baker HV,Cho RJ,Chen RO,Brownstein BH,Cobb JP,Tschoeke SK,Miller-Graziano C,Moldawer LL,Mindrinos MN,Davis RW,Tompkins RG,Lowry SF,Inflamm and Host Response to Injury Large Scale

doi

10.1038/nature03985

keywords:

subject

Has Abstract

pub_date

2005-10-13 00:00:00

pages

1032-7

issue

7061

eissn

0028-0836

issn

1476-4687

pii

nature03985

journal_volume

437

pub_type

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