Changes in pharyngeal microbiota composition in patients with idiopathic pulmonary fibrosis

<bold>Background</bold> Whether respiratory microbiota correlated to the development of idiopathic pulmonary fibrosis (IPF) remains unclear. <bold>Methods</bold> Throat swab samples were collected from 16 patients with IPF and 16 matched control subjects for the 16S ribosomal RNA sequencing(V3-V4 region). <bold>Results</bold> The α-diversity indexes were markedly lower in the IPF group(Figure1), and by principal coordinate analysis, the microbiota on the pharynx showed differing profiles. DESeq2-based differential analysis suggested that Butyricicoccus, Faecalibacterium etc. in the IPF group were significantly upregulated at the genus level. LEfSe analysis revealed that Veillonella and Leptotrichia in the control group were significantly higher than the other group. Moreover, based on the PICRUSt2 algorithm, pathways correlated with amino acid metabolism, glucose metabolism, and vitamin B1 metabolism were significantly enriched in the control group compared with the IPF group. <bold>Conclusions</bold> This study provides a systematic profile of the pharyngeal microbiota in patients suffering from IPF, contributing to the improved understanding of the disease from the perspective of microbes. Impaired diversity of the pharyngeal microbiota and the presence of characterized bacteria may be related to the occurrence of IPF which is worth subsequent study with significant advantages as non-invasive biomarkers. <fig><object-id>erj;64/suppl_68/PA4454/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa4454
Primary Topic
Healthcare Systems and Public Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Changes in pharyngeal microbiota composition in patients with idiopathic pulmonary fibrosis

Xiaolei Yuan, Xinyi Wang, Jin Jin, Xiaomao Xu et al.
Healthcare Systems and Public Health
article

Changes in pharyngeal microbiota composition in patients with idiopathic pulmonary fibrosis

Xiaolei Yuan, Xinyi Wang, Jin Jin, Xiaomao Xu, Ye Liu
article en

Abstract

<bold>Background</bold> Whether respiratory microbiota correlated to the development of idiopathic pulmonary fibrosis (IPF) remains unclear. <bold>Methods</bold> Throat swab samples were collected from 16 patients with IPF and 16 matched control subjects for the 16S ribosomal RNA sequencing(V3-V4 region). <bold>Results</bold> The α-diversity indexes were markedly lower in the IPF group(Figure1), and by principal coordinate analysis, the microbiota on the pharynx showed differing profiles. DESeq2-based differential analysis suggested that Butyricicoccus, Faecalibacterium etc. in the IPF group were significantly upregulated at the genus level. LEfSe analysis revealed that Veillonella and Leptotrichia in the control group were significantly higher than the other group. Moreover, based on the PICRUSt2 algorithm, pathways correlated with amino acid metabolism, glucose metabolism, and vitamin B1 metabolism were significantly enriched in the control group compared with the IPF group. <bold>Conclusions</bold> This study provides a systematic profile of the pharyngeal microbiota in patients suffering from IPF, contributing to the improved understanding of the disease from the perspective of microbes. Impaired diversity of the pharyngeal microbiota and the presence of characterized bacteria may be related to the occurrence of IPF which is worth subsequent study with significant advantages as non-invasive biomarkers. <fig><object-id>erj;64/suppl_68/PA4454/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Geriatric Hospital (CN)
Zero hunger
Openalex Percentile: Top 70%
Healthcare Systems and Public Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.