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Integrated plasma metabolomic and cytokine analysis reveals a distinct immunometabolic signature in atopic dermatitis

Authors :
Emily Z. Ma
Junwen Deng
Varsha Parthasarathy
Kevin K. Lee
Thomas Pritchard
Shenghao Guo
Cissy Zhang
Madan M. Kwatra
Anne Le
Shawn G. Kwatra
Source :
Frontiers in Immunology, Vol 15 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

ImportanceDisease models for atopic dermatitis (AD) have primarily focused on understanding underlying environmental, immunologic, and genetic etiologies. However, the role of metabolic mechanisms in AD remains understudied.ObjectiveTo investigate the circulating blood metabolomic and cytokine profile of AD as compared to healthy control patients.DesignThis study collected plasma from 20 atopic dermatitis with moderate-to-severe itch (score of ≥5 on the itch Numeric Rating Scale and IGA score ≥3) and 24 healthy control patients. Mass-spectrometry based metabolite data were compared between AD and healthy controls. Unsupervised and supervised machine learning algorithms and univariate analysis analyzed metabolic concentrations. Metabolite enrichment and pathway analyses were performed on metabolites with significant fold change between AD and healthy control patients. To investigate the correlation between metabolites levels and cytokines, Spearman’s rank correlation coefficients were calculated between metabolites and cytokines.SettingPatients were recruited from the Johns Hopkins Itch Center and dermatology outpatient clinics in the Johns Hopkins Outpatient Center.ParticipantsThe study included 20 atopic dermatitis patients and 24 healthy control patients.Main outcomes and measuresFold changes of metabolites in AD vs healthy control plasma.ResultsIn patients with AD, amino acids isoleucine, tyrosine, threonine, tryptophan, valine, methionine, and phenylalanine, the amino acid derivatives creatinine, indole-3-acrylic acid, acetyl-L-carnitine, L-carnitine, 2-hydroxycinnamic acid, N-acetylaspartic acid, and the fatty amide oleamide had greater than 2-fold decrease (all P-values

Details

Language :
English
ISSN :
16643224
Volume :
15
Database :
Directory of Open Access Journals
Journal :
Frontiers in Immunology
Publication Type :
Academic Journal
Accession number :
edsdoj.57002ae2747249f9a2e5a2266c68fcea
Document Type :
article
Full Text :
https://doi.org/10.3389/fimmu.2024.1354128