Evidence map›Paper›PMID 36401059›Full record

ArticleSleep & breathing = Schlaf & Atmung2023

Whole-genome metagenomic analysis of the oral microbiota in patients with obstructive sleep apnea.

Yinghui Gao, Huanhuan Wang, Yazhuo Hu, JianHua Li, Weihao Xu, LiBo Zhao, Xiaofeng Su, Jiming Han, Tianzhi Li, Xiangqun Fang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  3. Trial
  4. Review
  5. Review
  6. Article
  7. Article
  8. Exploratory analysis of potential association between oralFrontiers in cellular and infection microbiology · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Yinghui Gao *PKU-UPenn Sleep Center, Peking University International Hospital, Beijing, 102206, China.
Huanhuan Wang *Nursing of Peking University, Beijing, 100191, China.
Yazhuo Hu *Institute of Gerontology, Second Medical Center, PLA General Hospital, Beijing, 100853, China.
JianHua LiCardiology Department of the Second Medical Center &, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Weihao XuCardiology Department of the Second Medical Center &, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
LiBo ZhaoCardiology Department of the Second Medical Center &, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Xiaofeng SuMedical College, Yan'an University, Yan'an, 716000, Shaanxi Province, China.
Jiming HanMedical College, Yan'an University, Yan'an, 716000, Shaanxi Province, China.
Tianzhi LiThe Second Medical Center &, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China. litianzhi301@sina.com.
Xiangqun FangDepartment of Pulmonary and Critical Care Medicine of the Second Medical Center &, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. fangxiangqun@hotmail.com.
Lin LiuDepartment of Pulmonary and Critical Care Medicine of the Second Medical Center &, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China. liulin715@qq.com.
Chinese PLA General Hospital · CNPeking University · CNYan'an University · CN

Funding

Army Equipment Construction Applied Research Project LB20211A010013Military Health Care Project 19BJZ34Youth Program for Military Medicine of Chinese PLA General Hospital QNC19054
6 · The paper itself

Abstract

purposeThe oral microbiota is closely associated with systemic health, but few studies have investigated the oral microbiota in patients with obstructive sleep apnea (OSA). This study aimed to identify the variation of oral microbiota among patients with severe OSA, and the change of oral microbiota after treatment with continuous positive airway pressure (CPAP).

methodsParticipants were enrolled in the study from November 2020 to August 2021. Sleep parameters using full nocturnal polysomnography (PSG) were collected on healthy controls, patients with severe OSA, and patients with severe OSA after CPAP treatment for 3 months. Oral samples were also collected by rubbing disposable medical sterile swabs on the buccal mucosa. Routine blood tests and biochemical indicators were measured using the fully automated biochemical analyzer. Oral microbial composition of oral samples were determined using whole-genome metagenomic analysis in all participants. Correlations were analyzed between the oral microbiota and blood lipids.

resultsStudy enrollment included 14 participants, 7 healthy controls and 7 patients with severe OSA. At the species level, the relative abundances of Prevotella, Alloprevotella, Bacteroides, Veillonella_tobetsuensis, Candidatus saccharimonas, and Leptotrichia in the groups with severe OSA were significantly lower than those in the healthy controls (P both < 0.05). The abundances of Capnocytophaga, Veillonella, Bacillus_anthracis, Eikenella, and Kingella were significantly higher whereas the abundances of Gordonia and Streptococcus were significantly lower in the group with severe OSA compared to the severe OSA-CPAP group (P < 0.05 for both). According to the Kyoto Encyclopedia of Genes and Genomes (KEGG), 4 pathways changed in the group with severe OSA compared with healthy controls (P both < 0.05). Pathways related to Novobiocin biosynthesis, 2-Oxocarboxylic acid metabolism, and Histidine metabolism were enriched in the patients with severe OSA. Nine pathways showed significant differences with regard to the relative abundances of phenylalanine metabolism; alanine, aspartate, and glutamate metabolism; one carbon pool by folate; monobactam biosynthesis; 2-oxocarboxylic acid metabolism; arginine biosynthesis and vitamin B6 metabolism; novobiocin biosynthesis; and arginine and proline metabolism, which were significantly higher in the group with severe OSA compared to the severe OSA-CPAP group (P both < 0.05). The Spearman correlation analysis between blood lipid parameters and oral microbiota components showed that negative correlations were observed between total cholesterol and Streptomyces (r =  - 0.893, P = 0.007), and high-density lipoprotein cholesterol (HDL-C) and Gordonia (r = - 0.821, P = 0.023); positive correlations were observed between HDL-C and Candidatus saccharimonas (r = 0.929, P = 0.003), and low-density lipoprotein cholesterol (LDL-C) and Capnocytophaga (r = 0.893, P = 0.007).

conclusionThere was an apparent discrepancy of the oral microbiota and metabolic pathways between the group with severe OSA and controls, and CPAP significantly changed oral microbial abundance and metabolic pathways in patients with severe OSA. Correlation analysis showed that these oral bacteria were strongly correlated with the blood lipids level.

Indexed as

MicrobiotaSleep Apnea, ObstructiveCholesterol, LDLContinuous Positive Airway PressureHumansLipidsNovobiocinCholesterol, LDLLipidsNovobiocinBlood lipidsOral microbiotaSleep apnea syndrome, obstructiveWhole-genome metagenomic analysis

Identifiers

PMID36401059
OpenAlexW4309375300

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.