Your browser doesn't support javascript.
loading
Cluster analysis of plasma cytokines identifies two unique endotypes of children with asthma in the pediatric intensive care unit.
Cottrill, Kirsten A; Rad, Milad G; Ripple, Michael J; Stephenson, Susan T; Mohammad, Ahmad F; Tidwell, Mallory; Kamaleswaran, Rishikesan; Fitzpatrick, Anne M; Grunwell, Jocelyn R.
Afiliación
  • Cottrill KA; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Rad MG; Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
  • Ripple MJ; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Stephenson ST; Division of Critical Care Medicine, Children's Healthcare of Atlanta at Egleston, 1405 Clifton Road NE, Atlanta, GA, 30322, USA.
  • Mohammad AF; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Tidwell M; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Kamaleswaran R; Division of Critical Care Medicine, Children's Healthcare of Atlanta at Egleston, 1405 Clifton Road NE, Atlanta, GA, 30322, USA.
  • Fitzpatrick AM; Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
  • Grunwell JR; Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Sci Rep ; 13(1): 3521, 2023 03 02.
Article en En | MEDLINE | ID: mdl-36864187
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Citocinas Límite: Child / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Asma / Citocinas Límite: Child / Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos