Classifying asthma control using salivary and fecal bacterial microbiome in children with moderate-to-severe asthma.

Autor: Blankestijn JM; Department of Pulmonary Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands.; Amsterdam Public Health, Amsterdam, The Netherlands., Lopez-Rincon A; Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands.; Department of Data Science, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands., Neerincx AH; Department of Pulmonary Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands., Vijverberg SJH; Department of Pulmonary Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands., Hashimoto S; Department of Pulmonary Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.; Department of Pediatric Respiratory Medicine, Emma Children's Hospital, Amsterdam UMC, Amsterdam, The Netherlands., Gorenjak M; Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia., Sardón Prado O; Division of Pediatric Respiratory Medicine, Hospital Universitario Donostia, San Sebastián, Spain.; Department of Pediatrics, University of the Basque Country (UPV/EHU), San Sebastián, Spain., Corcuera-Elosegui P; Division of Pediatric Respiratory Medicine, Hospital Universitario Donostia, San Sebastián, Spain., Korta-Murua J; Division of Pediatric Respiratory Medicine, Hospital Universitario Donostia, San Sebastián, Spain., Pino-Yanes M; Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna (ULL), San Cristóbal de La Laguna, Spain.; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain.; Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, La Laguna, Spain., Potočnik U; Center for Human Molecular Genetics and Pharmacogenomics, Faculty of Medicine, University of Maribor, Maribor, Slovenia.; Laboratory for Biochemistry, Molecular Biology and Genomics, Faculty of Chemistry and Chemical Engineering, University of Maribor, Maribor, Slovenia., Bang C; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany., Franke A; Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany., Wolff C; Science and Development Campus Regensburg (WECARE), University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany., Brandstetter S; Science and Development Campus Regensburg (WECARE), University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany., Toncheva AA; Science and Development Campus Regensburg (WECARE), University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany., Kheiroddin P; Science and Development Campus Regensburg (WECARE), University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany., Harner S; Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany., Kabesch M; Science and Development Campus Regensburg (WECARE), University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany.; Department of Pediatric Pneumology and Allergy, University Children's Hospital Regensburg (KUNO) at the Hospital St. Hedwig of the Order of St. John, University of Regensburg, Regensburg, Germany., Kraneveld AD; Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Utrecht, The Netherlands., Abdel-Aziz MI; Department of Pulmonary Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands.; Amsterdam Public Health, Amsterdam, The Netherlands.; Department of Clinical Pharmacy, Faculty of Pharmacy, Assiut University, Assiut, Egypt., Maitland-van der Zee AH; Department of Pulmonary Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.; Amsterdam Institute for Infection and Immunity, Amsterdam, The Netherlands.; Amsterdam Public Health, Amsterdam, The Netherlands.; Department of Pediatric Respiratory Medicine, Emma Children's Hospital, Amsterdam UMC, Amsterdam, The Netherlands.
Jazyk: angličtina
Zdroj: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology [Pediatr Allergy Immunol] 2023 Feb; Vol. 34 (2), pp. e13919.
DOI: 10.1111/pai.13919
Abstrakt: Background: 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 association with asthma control has not been explored. We aimed to investigate whether the gastrointestinal microbiome can be used to discriminate between uncontrolled and controlled asthma in children.
Methods: 143 and 103 feces samples were obtained from 143 children with moderate-to-severe asthma aged 6 to 17 years from the SysPharmPediA study. Patients were classified as controlled or uncontrolled asthmatics, and their microbiome at species level was compared using global (alpha/beta) diversity, conventional 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 pediatric asthmatics. REFS detected a set of taxa, including Haemophilus and Veillonella, differentiating uncontrolled and controlled asthma with an average classification accuracy of 81% (saliva) and 86% (feces). These taxa showed enrichment in taxa previously associated with inflammatory diseases for both sampling compartments, and with COPD for the saliva samples.
Conclusion: 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.
(© 2023 The Authors. Pediatric Allergy and Immunology published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.)
Databáze: MEDLINE
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