Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit
Year: 2023
Type: article
Study design: Observational Study
Abstract: Children with life-threatening asthma exacerbations who are admitted to a pediatric intensive care unit (PICU) are a heterogeneous group with poorly studied inflammatory features. We hypothesized that distinct clusters of children with asthma in a PICU would be identified based on differences in plasma cytokine levels and that these clusters would have differing underlying inflammation and asthma outcomes within 1 year. Plasma cytokines and differential gene expression were measured in neutrophils isolated from children admitted to a PICU for asthma. Participants were clustered by differential plasma cytokine abundance. Gene expression differences were compared by cluster and pathway over-representation analysis was performed. We identified two clusters in 69 children with no clinical differences. Cluster 1 (n = 41) had higher cytokines compared to Cluster 2 (n = 28). Cluster 2 had a hazard ratio of 2.71 (95% CI 1.11-6.64) compared to Cluster 1 for time to subsequent exacerbation. Gene expression pathways that differed by cluster included interleukin-10 signaling; nucleotide-binding domain, leucine rich repeat containing receptor (NLR signaling); and toll-like receptor (TLR) signaling. These observations suggest that a subset of children may have a unique pattern of inflammation during PICU hospitalization that might require alternative treatment approaches.
Source: Scientific Reports
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,390
Awards: Mentored patient-oriented research in preschool wheezing disorders, G2289923368, Symptom clusters in children with exacerbation-prone asthma, G5242420304, The Emory Training Program in Lung Health, Airway Immune Response in Critically Ill Children-Precision Medicine in Children At Risk for Acute Respiratory Distress Syndrome, Georgia Clinical & Translational Science Alliance (Georgia CTSA), Sepsis Physiomarkers for Appropriate Risk Knowledge of monitored patients in the ICU (SPARK-ICU)
OpenAlex ID: W4322775220
