Identification of sepsis subtypes in critically ill adults using gene expression profiling.

ABSTRACT:

Introduction

Sepsis is a syndromic illness that has traditionally been defined by a set of broad, highly sensitive clinical parameters. As a result, numerous distinct pathophysiologic states may meet diagnostic criteria for sepsis, leading to syndrome heterogeneity. The existence of biologically distinct sepsis subtypes may in part explain the lack of actionable evidence from clinical trials of sepsis therapies. We used microarray-based gene expression data from adult patients with sepsis in order to identify molecularly distinct sepsis subtypes.

Methods

We used partitioning around medoids (PAM) and hierarchical clustering of gene expression profiles from neutrophils taken from a cohort of septic patients in order to identify distinct subtypes. Using the medoids learned from

SUBMITTER: Maslove DM 

PROVIDER: S-EPMC3682285 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature