E-cigarette vapor extract alters human eosinophil gene expression in an effect mediated by propylene glycol, glycerin, and nicotine

E-cigarette use has become widespread, and its effects on airway inflammation and disease are not fully delineated. E-cigarette vapor extract (EVE) profoundly affects neutrophil function. We hypothesized that EVE also alters eosinophil function and thus could impact allergic airway disease. We emplo...

Full description

Saved in:
Bibliographic Details
Published in:Journal of leukocyte biology 2024-11, Vol.116 (6), p.1420-1431
Main Authors: Hogan, Nicholas T, Castaneda-Castro, Francisco Emmanuel, Logandha Ramamoorthy Premlal, Ashmitaa, Brickner, Howard, Mondal, Monalisa, Herrera-De La Mata, Sara, Vijayanand, Pandurangan, Crotty Alexander, Laura E, Seumois, Gregory, Akuthota, Praveen
Format: Article
Language:English
Subjects:
Adult
E-Cigarette Vapor
Electronic Nicotine Delivery Systems
Eosinophils - drug effects
Eosinophils - metabolism
Female
Gene Expression Profiling
Gene Expression Regulation - drug effects
Glycerol - pharmacology
Humans
Male
Nicotine - pharmacology
Propylene Glycol - pharmacology
Transcriptome - drug effects
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:E-cigarette use has become widespread, and its effects on airway inflammation and disease are not fully delineated. E-cigarette vapor extract (EVE) profoundly affects neutrophil function. We hypothesized that EVE also alters eosinophil function and thus could impact allergic airway disease. We employed RNA sequencing to measure the ex vivo effect of EVE components on human eosinophil transcription. Blood eosinophils from 9 nonvaping subjects without asthma were isolated by negative selection. Cells were incubated for 48 h with EVE consisting of glycerin, propylene glycol, and nicotine (EVE+), EVE without nicotine ("EVE-"), air-exposed media termed extract buffer (EB), or untreated media. Bulk RNA sequencing was performed. Transcriptomic analysis revealed that the EB, EVE-, and EVE+ conditions showed highly variable gene expression with respect to no treatment and each other. Differential gene expression analysis comparing a combination of EVE+, EVE-, and EB revealed 3,030 differentially expressed genes (DEGs) with an adjusted P value 0.5 or
ISSN:1938-3673
1938-3673
DOI:10.1093/jleuko/qiae176