SCCM Resource Library-Differences in the Genomic Profiles of Immunoparalyzed and Nonimmunoparalyzed Children With Sepsis: A Pilot Study

Differences in the Genomic Profiles of Immunoparalyzed and Nonimmunoparalyzed Children With Sepsis: A Pilot Study

Video Transcription

Video Summary

In this presentation, Mohamed Farhat, Clinical Assistant Professor of Pediatrics at the University of Michigan, discusses a pilot study on the genomic profiles of immunoparalyzed and non-immunoparalyzed children with sepsis. Sepsis, a dysregulated immune response to infection, is a leading cause of mortality in children. Immunoparalysis, a state of immune suppression, is poorly understood but has been associated with increased morbidity and mortality in pediatric sepsis. The study aimed to understand immunoparalysis in pediatric sepsis using a transcriptomic approach. Blood samples were collected from critically ill children with sepsis, and gene expression profiles were analyzed. A total of 778 genes showed significant differential expression between immunoparalyzed and non-immunoparalyzed children. Functional annotation clustering identified three clusters related to immunity. Network analysis revealed interactions among the differentially expressed genes, as well as interactions between these genes and other proteins. The study provides insights into the genes, proteins, and processes involved in pediatric immunoparalysis. Further research is required to validate these findings in a larger cohort.

Asset Subtitle

Pediatrics, Sepsis, 2022

Asset Caption

The Society of Critical Care Medicine's Critical Care Congress features internationally renowned faculty and content sessions highlighting the most up-to-date, evidence-based developments in critical care medicine. This is a presentation from the 2022 Critical Care Congress held from April 18-21, 2022.

Meta Tag

Content Type Presentation

Knowledge Area Pediatrics

Knowledge Area Sepsis

Knowledge Level Advanced

Membership Level Select

Tag Pediatrics

Tag Sepsis

Year 2022

Keywords

pediatric sepsis

immunoparalysis

gene expression profiles

differential expression

network analysis

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