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Respiratory microbiome profiles differ by recent hospitalization and nursing home residence in patients on mechanical ventilation : HCAP

DC Field Value Language
dc.contributor.authorBaek, Min-gyung-
dc.contributor.authorWoo, Seong Ji-
dc.contributor.authorKim, Nam Eun-
dc.contributor.authorBaek, Chaeyun-
dc.contributor.authorWon, Sungho-
dc.contributor.authorKim, Youngmi-
dc.contributor.authorLee, Jae Jun-
dc.contributor.authorYi, Hana-
dc.contributor.authorHong, Ji Young-
dc.date.accessioned2021-03-05T06:56:27Z-
dc.date.available2021-03-05T15:58:53Z-
dc.date.issued2020-12-07-
dc.identifier.citationJournal of Translational Medicine. 2020 Dec 07;18(1):464ko_KR
dc.identifier.issn1479-5876-
dc.identifier.urihttps://hdl.handle.net/10371/173441-
dc.description.abstractBackground
Healthcare-associated pneumonia (HCAP) is a heterogeneous disease. We redefined nursing-home- and hospital-associated infections (NHAI) group by revising existing HCAP risk factors. The NHAI group comprised nursing home residents with a poor functional status, or recent (past 90days) hospitalization or recent (past 180days) antibiotic therapy. Our aim was to determine whether respiratory microbiota profiles are related to newly defined NHAI group in critically ill patients on mechanical ventilation.

Methods
The 180 endotracheal aspirates (ETAs) from 60 mechanically ventilated ICU patients (NHAI group, n = 24; non-NHAI group, n = 36) were prospectively collected on days 1, 3 and 7 in a university hospital. The bacterial community profiles of the ETAs were explored by 16S rRNA gene sequencing. A phylogenetic-tree-based microbiome association test (TMAT), generalized linear mixed models (GLMMs), the Wilcoxon test and the reference frame method were used to analyze the association between microbiome abundance and disease phenotype.

Results
The relative abundance of the genus Corynebacterium was significantly higher in the pneumonia than in the non-pneumonia group. The microbiome analysis revealed significantly lower α-diversity in the NHAI group than in the non-NHAI group. In the analysis of β-diversity, the structure of the microbiome also differed significantly between the two groups (weighted UniFrac distance, Adonis, p < 0.001). The abundance of Corynebacterium was significantly higher, and the relative abundances of Granulicatella, Staphylococcus, Streptococcus and Veillonella were significantly lower, in the NHAI group than in the non-NHAI group.

Conclusions
The microbiota signature of the ETAs distinguished between patients with and without risk factors for NHAI. The lung microbiome may serve as a therapeutic target for NHAI group.
ko_KR
dc.description.sponsorshipThis study was supported by the Bio & Medical Technology Develop‑ment Program of the National Research Foundation (NRF) funded by the Korean government (MSIT) (NRF-2017M3A9E8033225) and by the National Research Foundation of Korea Grant funded by Korean Government (NRF 2020R1A2C1011455). This research was supported by Hallym University Research Fund. Funding agencies had no role in the study design, data col‑lection and analysis, decision to publish, manuscript preparation, or decision to submit the manuscript for publication. The remaining authors have no conficts of interest to report.ko_KR
dc.language.isoenko_KR
dc.publisherBMCko_KR
dc.subjectHCAP-
dc.subjectMicrobiome-
dc.subjectPneumonia-
dc.subjectMechanical ventilation-
dc.titleRespiratory microbiome profiles differ by recent hospitalization and nursing home residence in patients on mechanical ventilationko_KR
dc.title.alternativeHCAP-
dc.title.alternativeMicrobiome-
dc.title.alternativePneumonia-
dc.title.alternativeMechanical ventilation-
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor백민경-
dc.contributor.AlternativeAuthor우성지-
dc.contributor.AlternativeAuthor김남은-
dc.contributor.AlternativeAuthor백채윤-
dc.contributor.AlternativeAuthor원성호-
dc.contributor.AlternativeAuthor김영미-
dc.contributor.AlternativeAuthor이재준-
dc.contributor.AlternativeAuthor이하나-
dc.contributor.AlternativeAuthor홍지영-
dc.identifier.doi10.1186/s12967-020-02642-z-
dc.citation.journaltitleJournal of Translational Medicineko_KR
dc.language.rfc3066en-
dc.rights.holderThe Author(s)-
dc.date.updated2021-01-27T10:03:19Z-
dc.citation.number1ko_KR
dc.citation.startpage464ko_KR
dc.citation.volume18ko_KR
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