Unknown

Dataset Information

0

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


ABSTRACT: 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.To develop and validate a real-time subclassification method for septic shock.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 the subclasses using computer-assisted image analysis and microarray-based reference mosaics. A gene expression score was calculated to reduce the gene expression patterns to a single metric. The method was tested prospectively in a separate cohort (n?=?132).The NanoString-based data reproduced two septic shock subclasses. As previously, one subclass had decreased expression of the subclass-defining genes. The gene expression score identified this subclass with an area under the curve of 0.98 (95% confidence interval [CI95]?=?0.96-0.99). Prospective testing of the subclassification method corroborated these findings. Allocation to this subclass was independently associated with mortality (odds ratio = 2.7; CI95 = 1.2-6.0; P = 0.016), and adjunctive corticosteroids prescribed at physician discretion were independently associated with mortality in this subclass (odds ratio?=?4.1; CI95?=?1.4-12.0; P?=?0.011).We developed and tested a gene expression-based classification method for pediatric septic shock that meets the time constraints of the critical care environment, and can potentially inform therapeutic decisions.

SUBMITTER: Wong HR 

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

REPOSITORIES: biostudies-literature

altmetric image

Publications


<h4>Rationale</h4>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.<h4>Objectives</h4>To develop and validate a real-ti  ...[more]

Similar Datasets

2007-06-14 | GSE8121 | GEO
| S-EPMC3329642 | biostudies-literature
| S-EPMC4920853 | biostudies-other
| S-EPMC3615026 | biostudies-literature
| S-EPMC4395852 | biostudies-literature
| S-EPMC2440641 | biostudies-literature
| S-EPMC5380529 | biostudies-literature
| S-EPMC8509675 | biostudies-literature
| S-EPMC6162875 | biostudies-other
| S-EPMC6598895 | biostudies-literature