Developing a clinically feasible personalized medicine approach to pediatric septic shock.

ABSTRACT:

Rationale

Using microarray data, we previously identified gene expression-based subclasses of septic shock with important phenotypic differences. The subclass-defining genes correspond to adaptive immunity and glucocorticoid receptor signaling. Identifying the subclasses in real time has theranostic implications, given the potential for immune-enhancing therapies and controversies surrounding adjunctive corticosteroids for septic shock.

Objectives

To develop and validate a real-time subclassification method for septic shock.

Methods

Gene expression data for the 100 subclass-defining genes were generated using a multiplex messenger RNA quantification platform (NanoString nCounter) and visualized using gene expression mosaics. Study subjects (n = 168) were allocated to

SUBMITTER: Wong HR 

PROVIDER: S-EPMC4351580 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature