TY - JOUR
T1 - Classifying asthma control using salivary and fecal microbiome in children with moderate to severe asthma
T2 - results from the SysPharmPediA study
AU - Blankestijn, J
AU - Lopez-Rincon, A
AU - Neerincx, A H
AU - Vijverberg, S J
AU - Hashimoto, S
AU - Gorenjak, M
AU - Sardón-Prado, O
AU - Corcuera, P
AU - Korta-Murua, J
AU - Pino-Yanes, M
AU - Potočnik, U
AU - Wolff, C
AU - Brandstetter, S
AU - Toncheva, A A
AU - Kheiroddin, P
AU - Harner, S
AU - Kabesch, M
AU - Kraneveld, A D
AU - Abdel-Aziz, M I
AU - Zee, A H Maitland-Van Der
PY - 2022
Y1 - 2022
N2 - Introduction: Uncontrolled asthma can lead to severe exacerbations and reduced quality of life. Research has shown that the microbiome may be linked with asthma characteristics, however, its role in asthma control has not been explored. We aimed to investigate whether the microbiome could be used to discriminate between uncontrolled and controlled asthma in children.Methods: Saliva and feces samples were obtained from 143 children with moderate-to-severe asthma aged 6 to 17 years from the SysPharmPediA study [Abdel-Aziz and Neerincx et al. J Pers Med. 2021]. Patients were classified as controlled or uncontrolled asthmatics and their microbiome was compared using global (alpha/beta) diversity, differential abundance analysis (DAA, Analysis of compositions of microbiomes with bias correction) and machine learning (Recursive Ensemble Feature Selection (REFS)).Results: Global diversity and DAA did not find significant differences between controlled and uncontrolled asthmatics. REFS detected a set of taxa, including Haemophilus and Veillonella, differentiating uncontrolled and controlled asthma with an average classification accuracy of 81saliva) and 85feces). These taxa showed enrichment in taxa previously associated with inflammatory diseases for both sampling compartments, and with COPD for the saliva samples.Conclusions: Controlled and uncontrolled asthmatics could be differentiated in children based on their microbiome using machine learning, suggesting a link between asthma control and the microbiome. This suggests that the microbiome may be a potential target for a precision medicine approach to improve asthma control in children.FootnotesCite this article as Eur Respir J 2022; 60: Suppl. 66, 4554.This article was presented at the 2022 ERS International Congress, in session textquotedblleft-textquotedblright.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
AB - Introduction: Uncontrolled asthma can lead to severe exacerbations and reduced quality of life. Research has shown that the microbiome may be linked with asthma characteristics, however, its role in asthma control has not been explored. We aimed to investigate whether the microbiome could be used to discriminate between uncontrolled and controlled asthma in children.Methods: Saliva and feces samples were obtained from 143 children with moderate-to-severe asthma aged 6 to 17 years from the SysPharmPediA study [Abdel-Aziz and Neerincx et al. J Pers Med. 2021]. Patients were classified as controlled or uncontrolled asthmatics and their microbiome was compared using global (alpha/beta) diversity, differential abundance analysis (DAA, Analysis of compositions of microbiomes with bias correction) and machine learning (Recursive Ensemble Feature Selection (REFS)).Results: Global diversity and DAA did not find significant differences between controlled and uncontrolled asthmatics. REFS detected a set of taxa, including Haemophilus and Veillonella, differentiating uncontrolled and controlled asthma with an average classification accuracy of 81saliva) and 85feces). These taxa showed enrichment in taxa previously associated with inflammatory diseases for both sampling compartments, and with COPD for the saliva samples.Conclusions: Controlled and uncontrolled asthmatics could be differentiated in children based on their microbiome using machine learning, suggesting a link between asthma control and the microbiome. This suggests that the microbiome may be a potential target for a precision medicine approach to improve asthma control in children.FootnotesCite this article as Eur Respir J 2022; 60: Suppl. 66, 4554.This article was presented at the 2022 ERS International Congress, in session textquotedblleft-textquotedblright.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).
U2 - 10.1183/13993003.congress-2022.4554
DO - 10.1183/13993003.congress-2022.4554
M3 - Article
SN - 0903-1936
VL - 60
JO - European Respiratory Journal
JF - European Respiratory Journal
IS - suppl 66
ER -