Classifying asthma control using salivary and fecal bacterial microbiome in children with moderate-to-severe asthma.
Jelle M BlankestijnAlejandro Lopez-RinconAnne H NeerincxSusanne J H VijverbergSimone HashimotoMario GorenjakOlaia Sardón PradoPaula Corcuera-EloseguiJavier Korta-MuruaMaria Pino-YanesUroš PotočnikCorinna BangAndre FrankeChristine WolffSusanne BrandstetterAntoaneta A TonchevaParastoo KheiroddinSusanne HarnerMichael KabeschAletta D KraneveldMahmoud I Abdel-AzizAnke H Maitland-van der Zeenull nullPublished in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2023)
Controlled and uncontrolled children with asthma can be differentiated based on their gastrointestinal microbiome using machine learning, specifically REFS. Our results show an association between asthma control and the gastrointestinal microbiome. This suggests that the gastrointestinal microbiome may be a potential biomarker for treatment responsiveness and thereby help to improve asthma control in children.