Endotyping pediatric obesity-related asthma: Contribution of anthropometrics, metabolism, nutrients, and CD4
Obesity
T(H) cells
asthma
fat distribution
metabolic abnormalities
nutrients
Journal
The Journal of allergy and clinical immunology
ISSN: 1097-6825
Titre abrégé: J Allergy Clin Immunol
Pays: United States
ID NLM: 1275002
Informations de publication
Date de publication:
10 2022
10 2022
Historique:
received:
09
11
2021
revised:
12
04
2022
accepted:
26
04
2022
pubmed:
3
6
2022
medline:
12
10
2022
entrez:
2
6
2022
Statut:
ppublish
Résumé
Obesity-related complications including visceral fat, metabolic abnormalities, nutrient deficiencies, and immune perturbations are interdependent but have been individually associated with childhood asthma. We sought to endotype childhood obesity-related asthma by quantifying contributions of obesity-related complications to symptoms and pulmonary function. Multiomics analysis using Similarity Network Fusion followed by mediation analysis were performed to quantify prediction of obese asthma phenotype by different combinations of anthropometric, metabolic, nutrient, and T Two clusters (n = 28 and 26) distinct in their anthropometric (neck and midarm circumference, waist to hip ratio [WHR], and body mass index [BMI] z score), metabolic, nutrient, and T Anthropometric, metabolic, nutrient, and immune perturbations have individual but interdependent contributions to obese asthma phenotype, with the most consistent effect of WHR, highlighting the role of truncal adiposity in endotyping childhood obesity-related asthma.
Sections du résumé
BACKGROUND
Obesity-related complications including visceral fat, metabolic abnormalities, nutrient deficiencies, and immune perturbations are interdependent but have been individually associated with childhood asthma.
OBJECTIVE
We sought to endotype childhood obesity-related asthma by quantifying contributions of obesity-related complications to symptoms and pulmonary function.
METHODS
Multiomics analysis using Similarity Network Fusion followed by mediation analysis were performed to quantify prediction of obese asthma phenotype by different combinations of anthropometric, metabolic, nutrient, and T
RESULTS
Two clusters (n = 28 and 26) distinct in their anthropometric (neck and midarm circumference, waist to hip ratio [WHR], and body mass index [BMI] z score), metabolic, nutrient, and T
CONCLUSIONS
Anthropometric, metabolic, nutrient, and immune perturbations have individual but interdependent contributions to obese asthma phenotype, with the most consistent effect of WHR, highlighting the role of truncal adiposity in endotyping childhood obesity-related asthma.
Identifiants
pubmed: 35654239
pii: S0091-6749(22)00753-9
doi: 10.1016/j.jaci.2022.04.033
pmc: PMC9547831
mid: NIHMS1816195
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
861-871Subventions
Organisme : NHLBI NIH HHS
ID : K23 HL118733
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL141849
Pays : United States
Organisme : NHLBI NIH HHS
ID : R03 HL144534
Pays : United States
Informations de copyright
Copyright © 2022 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.
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