The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia
ObjectivesWe investigated the genomic and metabolic characteristics of the airway microbiome in mild, moderate, severe, and non-bronchopulmonary dysplasia (BPD) preterm infants and explored possible mechanisms underlying BPD.MethodsTwenty-eight preterm infants with gestational age ≤34 weeks and intu...
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Frontiers Media S.A.
2022-05-01
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| Series: | Frontiers in Pediatrics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fped.2022.862157/full |
| _version_ | 1811288711372996608 |
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| author | Qi Xu Qi Xu Jialin Yu Dong Liu Qi Tan Yu He |
| author_facet | Qi Xu Qi Xu Jialin Yu Dong Liu Qi Tan Yu He |
| author_sort | Qi Xu |
| collection | DOAJ |
| description | ObjectivesWe investigated the genomic and metabolic characteristics of the airway microbiome in mild, moderate, severe, and non-bronchopulmonary dysplasia (BPD) preterm infants and explored possible mechanisms underlying BPD.MethodsTwenty-eight preterm infants with gestational age ≤34 weeks and intubated within 24 h after birth were enrolled. According to the severity of BPD, the patients were divided into mild, moderate and severe BPD groups, and the non-BPD group was the control group. Tracheal aspirates (TA) were obtained at intubation and on day 7 after birth. The bacterium in the aspirates were sequenced by 16S rRNA, and the metabolomics of the aspirates were identified by high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-Q-TOF/MS). The correlation between the differential metabolite and differential bacteria was investigated using Pearson’s correlation coefficient corrected for gestational age and birth weight and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases.ResultsThere were significant differences in the diversity and composition of airway microbiome and metabolome between severe, moderate and mild BPD and non-BPD premature infants. At birth (day 1), the difference was more pronounced than at day 7. The diversity of airway microbial community decreased, the abundance of Stenotrophomonas increased, and the increased level of sn-glycerol 3-phosphoethanolamine was positively correlated with the severity of BPD. There was a significant positive correlation between the abundance of Stenotrophomonas and the level of sn-glycerol 3-phosphoethanolamine.ConclusionDecreased diversity of the airway microbiome, increased abundance of Stenotrophomonas, and increased level of sn-glycerol 3-phosphoethanolamine may have potential as biomarkers for BPD. The occurrence and severity of BPD are closely related to Stenotrophomonas, which may influence the composition of the lower airway microbiome through its metabolite sn-glycerol 3-phosphoethanolamine, and may be the triggering factor of the disease. The causal relationship needs further study. |
| first_indexed | 2024-04-13T03:41:35Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2296-2360 |
| language | English |
| last_indexed | 2024-04-13T03:41:35Z |
| publishDate | 2022-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pediatrics |
| spelling | doaj.art-af4ef281eb95431887b302af343e99472022-12-22T03:04:07ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602022-05-011010.3389/fped.2022.862157862157The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary DysplasiaQi Xu0Qi Xu1Jialin Yu2Dong Liu3Qi Tan4Yu He5Department of Pediatrics, Southern University of Science and Technology Hospital, Shenzhen, ChinaChildren’s Hospital, Capital Institute of Pediatrics, Beijing, ChinaDepartment of Pediatrics, Southern University of Science and Technology Hospital, Shenzhen, ChinaDepartment of Neonatology, Shenzhen People’s Hospital, Shenzhen, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, Chongqing, ChinaDepartment of Neonatology, Children’s Hospital of Chongqing Medical University, Chongqing, ChinaObjectivesWe investigated the genomic and metabolic characteristics of the airway microbiome in mild, moderate, severe, and non-bronchopulmonary dysplasia (BPD) preterm infants and explored possible mechanisms underlying BPD.MethodsTwenty-eight preterm infants with gestational age ≤34 weeks and intubated within 24 h after birth were enrolled. According to the severity of BPD, the patients were divided into mild, moderate and severe BPD groups, and the non-BPD group was the control group. Tracheal aspirates (TA) were obtained at intubation and on day 7 after birth. The bacterium in the aspirates were sequenced by 16S rRNA, and the metabolomics of the aspirates were identified by high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-Q-TOF/MS). The correlation between the differential metabolite and differential bacteria was investigated using Pearson’s correlation coefficient corrected for gestational age and birth weight and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases.ResultsThere were significant differences in the diversity and composition of airway microbiome and metabolome between severe, moderate and mild BPD and non-BPD premature infants. At birth (day 1), the difference was more pronounced than at day 7. The diversity of airway microbial community decreased, the abundance of Stenotrophomonas increased, and the increased level of sn-glycerol 3-phosphoethanolamine was positively correlated with the severity of BPD. There was a significant positive correlation between the abundance of Stenotrophomonas and the level of sn-glycerol 3-phosphoethanolamine.ConclusionDecreased diversity of the airway microbiome, increased abundance of Stenotrophomonas, and increased level of sn-glycerol 3-phosphoethanolamine may have potential as biomarkers for BPD. The occurrence and severity of BPD are closely related to Stenotrophomonas, which may influence the composition of the lower airway microbiome through its metabolite sn-glycerol 3-phosphoethanolamine, and may be the triggering factor of the disease. The causal relationship needs further study.https://www.frontiersin.org/articles/10.3389/fped.2022.862157/fullBPDmicrobiomegenomicsmetabonomicbiomarkers |
| spellingShingle | Qi Xu Qi Xu Jialin Yu Dong Liu Qi Tan Yu He The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia Frontiers in Pediatrics BPD microbiome genomics metabonomic biomarkers |
| title | The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia |
| title_full | The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia |
| title_fullStr | The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia |
| title_full_unstemmed | The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia |
| title_short | The Airway Microbiome and Metabolome in Preterm Infants: Potential Biomarkers of Bronchopulmonary Dysplasia |
| title_sort | airway microbiome and metabolome in preterm infants potential biomarkers of bronchopulmonary dysplasia |
| topic | BPD microbiome genomics metabonomic biomarkers |
| url | https://www.frontiersin.org/articles/10.3389/fped.2022.862157/full |
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