Transcriptomics

Dataset Information

0

Gene expression signatures identify pediatric patients with multiple organ dysfunction who require advanced life support in the intensive care unit


ABSTRACT: Multiple organ dysfunction syndrome (MODS) can result from a variety of initiating events such as infection or trauma. The clinical condition of some MODS patients may deteriorate and require intense resource and high-risk cardiopulmonary support via extracorporeal membrane oxygenation (ECMO). Until now, no diagnostic criteria/molecular biomarker has been developed to identify MODS patients who require subsequent ECMO support. We used multi-time point (0h, 72h and 8d) whole transcriptomics from total blood of 27 patients (contro-4, MODS-17 and ECMO-6) to derived the molecular signatures to diagnose the MODS patients required ECMO support. We observed that immune response (neutrophil level) was compromised in MODS patients, who required ECMO support. Differential gene expression analysis and gene ontology enrichment has revealed that epigenetic modifications has got activated during the MODS deterioration to ECMO. In addition, signature of 6 genes were identified using logistic regression, which can be used as putative diagnostic markers for patients needed ECMO support.

ORGANISM(S): Homo sapiens

PROVIDER: GSE144406 | GEO | 2020/09/30

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-10-07 | PXD046085 | Pride
2024-10-07 | PXD045889 | Pride
2021-07-12 | GSE125158 | GEO
2019-12-31 | GSE93101 | GEO
2024-10-15 | GSE182608 | GEO
2024-10-15 | GSE182600 | GEO
2014-12-31 | GSE60088 | GEO
2024-02-28 | GSE240778 | GEO
2019-03-04 | GSE127221 | GEO
| PRJNA603562 | ENA