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Article: Pediatric obstructive sleep apnea is associated with changes in the oral microbiome and urinary metabolomics profile: A pilot study

TitlePediatric obstructive sleep apnea is associated with changes in the oral microbiome and urinary metabolomics profile: A pilot study
Authors
KeywordsMetabolomics
Metagenomics
Obstructive sleep apnea
Oral microbiota
Issue Date2018
Citation
Journal of Clinical Sleep Medicine, 2018, v. 14, n. 9, p. 1559-1567 How to Cite?
AbstractStudy Objectives: Several cross-sectional studies have reported associations between oral diseases and obstructive sleep apnea (OSA). However, there have been no reports regarding the structure and composition of the oral microbiota with simultaneous evaluation of potential associations with perturbed metabolic profiles in pediatric OSA. Methods: An integrated approach, combining metagenomics based on high-throughput 16S rRNA gene sequencing, and metabolomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry, was used to evaluate the oral microbiome and the urinary metabolome. Results: 16S rRNA gene sequencing indicated that the oral microbiome composition was significantly perturbed in pediatric OSA compared with normal controls, especially with regard to Firmicutes, Proteobacteria, Bacteroidetes, Fusobacteria, and Actinobacteria. Moreover, metabolomics profiling indicated that 57 metabolites, 5 of which were metabolites related to the microflora of the digestive tract, were differentially present in the urine of pediatric patients with OSA and controls. Co-inertia and correlation analyses revealed that several oral microbiome changes were correlated with urinary metabolite perturbations in pediatric OSA. However, this correlation relationship does not imply causality. Conclusions: High-throughput sequencing revealed that the oral microbiome composition and function were significantly altered in pediatric OSA. Further studies are needed to confirm and determine the mechanisms underlying these findings.
Persistent Identifierhttp://hdl.handle.net/10722/342578
ISSN
2021 Impact Factor: 4.324
2020 SCImago Journal Rankings: 1.529
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Huajun-
dc.contributor.authorLi, Xiaoyan-
dc.contributor.authorZheng, Xiaojiao-
dc.contributor.authorXia, Yunyan-
dc.contributor.authorFu, Yiqun-
dc.contributor.authorLi, Xinyi-
dc.contributor.authorQian, Yingjun-
dc.contributor.authorZou, Jianyin-
dc.contributor.authorZhao, Aihua-
dc.contributor.authorGuan, Jian-
dc.contributor.authorGu, Meizhen-
dc.contributor.authorYi, Hongliang-
dc.contributor.authorJia, Wei-
dc.contributor.authorYin, Shankai-
dc.date.accessioned2024-04-17T07:04:47Z-
dc.date.available2024-04-17T07:04:47Z-
dc.date.issued2018-
dc.identifier.citationJournal of Clinical Sleep Medicine, 2018, v. 14, n. 9, p. 1559-1567-
dc.identifier.issn1550-9389-
dc.identifier.urihttp://hdl.handle.net/10722/342578-
dc.description.abstractStudy Objectives: Several cross-sectional studies have reported associations between oral diseases and obstructive sleep apnea (OSA). However, there have been no reports regarding the structure and composition of the oral microbiota with simultaneous evaluation of potential associations with perturbed metabolic profiles in pediatric OSA. Methods: An integrated approach, combining metagenomics based on high-throughput 16S rRNA gene sequencing, and metabolomics based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry and gas chromatography coupled with time-of-flight mass spectrometry, was used to evaluate the oral microbiome and the urinary metabolome. Results: 16S rRNA gene sequencing indicated that the oral microbiome composition was significantly perturbed in pediatric OSA compared with normal controls, especially with regard to Firmicutes, Proteobacteria, Bacteroidetes, Fusobacteria, and Actinobacteria. Moreover, metabolomics profiling indicated that 57 metabolites, 5 of which were metabolites related to the microflora of the digestive tract, were differentially present in the urine of pediatric patients with OSA and controls. Co-inertia and correlation analyses revealed that several oral microbiome changes were correlated with urinary metabolite perturbations in pediatric OSA. However, this correlation relationship does not imply causality. Conclusions: High-throughput sequencing revealed that the oral microbiome composition and function were significantly altered in pediatric OSA. Further studies are needed to confirm and determine the mechanisms underlying these findings.-
dc.languageeng-
dc.relation.ispartofJournal of Clinical Sleep Medicine-
dc.subjectMetabolomics-
dc.subjectMetagenomics-
dc.subjectObstructive sleep apnea-
dc.subjectOral microbiota-
dc.titlePediatric obstructive sleep apnea is associated with changes in the oral microbiome and urinary metabolomics profile: A pilot study-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.5664/jcsm.7336-
dc.identifier.pmid30176961-
dc.identifier.scopuseid_2-s2.0-85053183560-
dc.identifier.volume14-
dc.identifier.issue9-
dc.identifier.spage1559-
dc.identifier.epage1567-
dc.identifier.eissn1550-9397-
dc.identifier.isiWOS:000461414400014-

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