Profiling of lung microbiota in the patients with obstructive sleep apnea

Lu, Dongmei; Yao, Xiaofeng; Abulimiti, Ayinigeer; Cai, Li; Zhou, Ling; Hong, Jing; Li, Nanfang

doi:10.1097/md.0000000000011175

Cited by 13 publications

(11 citation statements)

References 26 publications

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“…Increased abundance of class Fusobacteriia was associated coal type used in the homes of our subjects. Although we are the first to report these associations with Fusobacteria , to the best of our knowledge, it is consistent with recent studies that have found lung‐derived Fusobacteria to be associated with sleep apnea (Lu et al, ) and asthma (Millares et al, ).…”

Section: Discussionsupporting

confidence: 91%

The respiratory tract microbiome and its relationship to lung cancer and environmental exposures found in rural china

Hosgood

Mongodin

Wan

et al. 2019

Environ and Mol Mutagen

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We previously reported that bacterial diversity in sputum samples from never‐smoking women in rural China varied by lung cancer status and household air pollution (HAP) exposure type. Here, we expand on our associations between environmental exposures and respiratory tract microbiota with an additional 90 never‐smoking women from Xuanwei, China. DNA from sputum samples of cases (n = 45) and controls (n = 45) was extracted using a multistep enzymatic and physical lysis, followed by a standardized clean up. V1–V2 regions of 16S rRNA genes were Polymerase chain reaction (PCR) amplified. Purified amplicons were sequenced by 454 FLX Titanium pyrosequencing and high‐quality sequences were evaluated for diversity and taxonomic membership. In our population of never‐smokers, increased risk of lung cancer was associated with lower alpha diversity compared to higher alpha diversity (Shannon: ORhigh = 1.00 [reference], ORmedium = 3.84 [1.02–14.48], ORlow = 3.78 [1.03–13.82]; observed species: ORhigh = 1.00 [reference], ORmedium = 2.37 [0.67–8.48], ORlow = 2.01 [0.58–6.97]; Phylogenetic Diversity (PD) whole tree: ORhigh = 1.00 [reference], ORmedium = 3.04 [0.85–10.92], ORlow = 2.53 [0.72–8.96]), as well as a decreased relative abundance of Fusobacteria (ORhigh = 1.00 [reference], ORmedium = 1.24 [0.42–3.66], ORlow = 2.01 [0.63–6.44], ptrend = 0.03). Increasing alpha diversity was associated with smoky coal use compared to clean fuel use among all subjects (observed species, P = 0.001; PD whole tree, P = 0.006; Shannon, P = 0.0002), as well as cases (observed species, P = 0.02; PD whole tree, P = 0.03; Shannon, P = 0.03) and controls (observed species, P = 0.01; PD whole tree, P = 0.05; Shannon, P = 0.002). Increased diversity was also associated with presence of livestock (observed species, P = 0.02; PD whole tree, P = 0.02; Shannon, P = 0.03) in the home for cases. Our study is the first to report that decreased microbial diversity is associated with risk of lung cancer. Larger studies are necessary to elucidate the direct and indirect effects attributed to the disease‐specific, HAP‐specific, and animal‐specific associations. Environ. Mol. Mutagen. 2019. © 2019 Wiley Periodicals, Inc.

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Section: Discussionsupporting

confidence: 91%

The respiratory tract microbiome and its relationship to lung cancer and environmental exposures found in rural china

Hosgood

Mongodin

Wan

et al. 2019

Environ and Mol Mutagen

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“…In addition to the upper respiratory tract, the microbiome profile of the lower airway has been studied through bronchoscopy and bronchoalveolar lavage analyses. The levels of Proteobacteria and Fusobacteria were significantly higher, whereas the level of Firmicutes was significantly lower in patients with OSA compared with control patients [74]. A healthy airway microbiota is essential to maintain airway immunity and reduce the risk of infection.…”

Section: Othersmentioning

confidence: 88%

Metabolomics and microbiome profiling as biomarkers in obstructive sleep apnoea: a comprehensive review

Zhang

Wang

et al. 2021

Eur Respir Rev

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IntroductionObstructive sleep apnoea (OSA) is a common sleep disorder with a high social and economic burden. Thus, early prediction and diagnosis of OSA are important. Changes in metabolism and the microbiome may serve as biomarkers for OSA. Herein, we review the literature on the metabolomic and microbiome changes associated with OSA, and identify the metabolites and microorganisms involved.MethodsWe searched the PUBMED and EMBASE electronic databases using the following terms: “obstructive sleep apnea”, “OSA”, “sleep disordered breathing”, “SDB”, “intermittent hypoxia”, “sleep fragmentation”, and either “metabolomics” or “microbiome”. In total, 273 papers were identified, of which 28 were included in our study.ResultsChanges in the levels of certain metabolites related to fatty acid, carbohydrate and amino acid metabolism were associated with the incidence of OSA. The diversity and abundance of microflora, particularly Firmicutes and Bacteroidetes, were altered in humans and rodents with OSA.ConclusionsCertain changes in metabolism and the microbiota play an integral role in the pathophysiology of OSA and OSA-induced cardiovascular complications. Metabolomic and microbiome biomarkers shed light on the pathogenesis of OSA, and facilitate early diagnosis and treatment.

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“…2018; Lu et al . 2018 a ). Firmicutes, Proteobacteria and Fusobacteria were significantly different in both lung and oral samples from people with OSA compared with controls (Xu et al .…”

Section: Overviewmentioning

confidence: 98%

“…2018; Lu et al . 2018 a ). Interestingly, seven genera of the nasal microbiota correlated with apnoea–hypopnoea index (a measure of disease severity) in OSA (Wu et al .…”

Section: Overviewmentioning

confidence: 98%

Bugs, breathing and blood pressure: microbiota–gut–brain axis signalling in cardiorespiratory control in health and disease

O’Connor

Lucking

Cryan

et al. 2020

The Journal of Physiology

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Profiling of lung microbiota in the patients with obstructive sleep apnea

Abstract: Supplemental Digital Content is available in the text

Cited by 13 publications

References 26 publications

The respiratory tract microbiome and its relationship to lung cancer and environmental exposures found in rural china

The respiratory tract microbiome and its relationship to lung cancer and environmental exposures found in rural china

Metabolomics and microbiome profiling as biomarkers in obstructive sleep apnoea: a comprehensive review

Bugs, breathing and blood pressure: microbiota–gut–brain axis signalling in cardiorespiratory control in health and disease

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