TY - JOUR
T1 - Metabotypes are linked to uncontrolled childhood asthma, gut microbiota, and systemic inflammation
AU - SysPharmPediA Consortium
AU - Abdel-Aziz, Mahmoud I
AU - Hashimoto, Simone
AU - Neerincx, Anne H
AU - Haarman, Eric G
AU - Cecil, Alexander
AU - Lintelmann, Jutta
AU - Witting, Michael
AU - Hauck, Stefanie M
AU - Kerssemakers, Nikki
AU - Verster, Joris C
AU - Bang, Corinna
AU - Franke, Andre
AU - Dierdorp, Barbara S
AU - Dekker, Tamara
AU - Metwally, Nariman K A
AU - Duitman, Jan Willem
AU - Lutter, René
AU - Gorenjak, Mario
AU - Toncheva, Antoaneta A
AU - Kheiroddin, Parastoo
AU - Harner, Susanne
AU - Brandstetter, Susanne
AU - Wolff, Christine
AU - Corcuera-Elosegui, Paula
AU - López-Fernández, Leyre
AU - Perez-Garcia, Javier
AU - Martin-Almeida, Mario
AU - Sardón-Prado, Olaia
AU - Pino-Yanes, Maria
AU - Potočnik, Uroš
AU - Kabesch, Michael
AU - Vijverberg, Susanne J H
AU - Kraneveld, Aletta D
AU - Maitland-van der Zee, Anke H
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/4/23
Y1 - 2025/4/23
N2 - BACKGROUND: Childhood asthma has been linked to distinct metabolomic profiles.OBJECTIVE: We sought to identify phenotypes (metabotypes) in children with moderate to severe asthma through integrative fecal and serum metabolome analysis.METHODS: Children from the Systems Pharmacology Approach to Uncontrolled Pediatric Asthma cohort with Global Initiative for Asthma treatment step 3 or higher were recruited. Asthma control was defined by the Asthma Control Test and annual exacerbation history. Targeted metabolomic profiling of feces and serum was performed using liquid chromatography and flow injection electrospray ionization-triple quadrupole mass spectrometry. Similarity network fusion integrated fecal and serum metabolome profiles, followed by spectral clustering. Clusters were analyzed for differences in asthma characteristics, food diaries, fecal microbiota composition, and levels of serum inflammatory markers and blood cells.RESULTS: Integrative fecal and serum metabolome analysis of 92 children with moderate to severe asthma (median age, 11.5 years, 34% female) revealed 3 metabotypes. Metabotype 1 had the lowest percentage of allergic rhinitis, with elevated serum ceramides and triglycerides. Metabotype 2 had higher odds of asthma control, the highest percentage of children with 4 or more months of breast-feeding, reduced sugar intake, lowest levels of blood neutrophils and serum inflammatory markers, and elevated serum acylcarnitines and ω-3 fatty acids. Metabotype 3 included the highest percentage of uncontrolled asthma patients, with decreased serum cholesteryl esters, phosphatidylcholines, and sphingomyelins, elevated fecal amino acids, and reduced fecal microbiota diversity.CONCLUSIONS: Metabotypes in children with moderate to severe asthma are linked to asthma control, distinct fecal microbiota, and systemic inflammatory patterns. The findings suggest that metabotyping can be valuable in precision medicine approaches for asthma.
AB - BACKGROUND: Childhood asthma has been linked to distinct metabolomic profiles.OBJECTIVE: We sought to identify phenotypes (metabotypes) in children with moderate to severe asthma through integrative fecal and serum metabolome analysis.METHODS: Children from the Systems Pharmacology Approach to Uncontrolled Pediatric Asthma cohort with Global Initiative for Asthma treatment step 3 or higher were recruited. Asthma control was defined by the Asthma Control Test and annual exacerbation history. Targeted metabolomic profiling of feces and serum was performed using liquid chromatography and flow injection electrospray ionization-triple quadrupole mass spectrometry. Similarity network fusion integrated fecal and serum metabolome profiles, followed by spectral clustering. Clusters were analyzed for differences in asthma characteristics, food diaries, fecal microbiota composition, and levels of serum inflammatory markers and blood cells.RESULTS: Integrative fecal and serum metabolome analysis of 92 children with moderate to severe asthma (median age, 11.5 years, 34% female) revealed 3 metabotypes. Metabotype 1 had the lowest percentage of allergic rhinitis, with elevated serum ceramides and triglycerides. Metabotype 2 had higher odds of asthma control, the highest percentage of children with 4 or more months of breast-feeding, reduced sugar intake, lowest levels of blood neutrophils and serum inflammatory markers, and elevated serum acylcarnitines and ω-3 fatty acids. Metabotype 3 included the highest percentage of uncontrolled asthma patients, with decreased serum cholesteryl esters, phosphatidylcholines, and sphingomyelins, elevated fecal amino acids, and reduced fecal microbiota diversity.CONCLUSIONS: Metabotypes in children with moderate to severe asthma are linked to asthma control, distinct fecal microbiota, and systemic inflammatory patterns. The findings suggest that metabotyping can be valuable in precision medicine approaches for asthma.
KW - Moderate to severe childhood asthma
KW - gut microbiota
KW - inflammatory markers
KW - metabotyping
KW - precision medicine
UR - http://www.scopus.com/inward/record.url?scp=105004927260&partnerID=8YFLogxK
U2 - 10.1016/j.jaci.2025.04.017
DO - 10.1016/j.jaci.2025.04.017
M3 - Article
C2 - 40280190
SN - 0091-6749
JO - Journal of Allergy and Clinical Immunology
JF - Journal of Allergy and Clinical Immunology
ER -