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Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities

Gut microbiota alterations manifest as intermittent hypoxia and fragmented sleep, thereby mimicking obstructive sleep apnea–hypopnea syndrome (OSAHS). Here, we sought to perform the first direct survey of gut microbial dysbiosis over a range of apnea–hypopnea indices (AHI) among patients with OSAHS....

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Autores principales: Ko, Chih-Yuan, Liu, Qing-Quan, Su, Huan-Zhang, Zhang, Hua-Ping, Fan, Ji-Mim, Yang, Jiao-Hong, Hu, An-Ke, Liu, Yu-Qi, Chou, Dylan, Zeng, Yi-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465302/
https://www.ncbi.nlm.nih.gov/pubmed/30957778
http://dx.doi.org/10.1042/CS20180891
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author Ko, Chih-Yuan
Liu, Qing-Quan
Su, Huan-Zhang
Zhang, Hua-Ping
Fan, Ji-Mim
Yang, Jiao-Hong
Hu, An-Ke
Liu, Yu-Qi
Chou, Dylan
Zeng, Yi-Ming
author_facet Ko, Chih-Yuan
Liu, Qing-Quan
Su, Huan-Zhang
Zhang, Hua-Ping
Fan, Ji-Mim
Yang, Jiao-Hong
Hu, An-Ke
Liu, Yu-Qi
Chou, Dylan
Zeng, Yi-Ming
author_sort Ko, Chih-Yuan
collection PubMed
description Gut microbiota alterations manifest as intermittent hypoxia and fragmented sleep, thereby mimicking obstructive sleep apnea–hypopnea syndrome (OSAHS). Here, we sought to perform the first direct survey of gut microbial dysbiosis over a range of apnea–hypopnea indices (AHI) among patients with OSAHS. We obtained fecal samples from 93 patients with OSAHS [5 < AHI ≤ 15 (n=40), 15 < AHI ≤ 30 (n=23), and AHI ≥ 30 (n=30)] and 20 controls (AHI ≤ 5) and determined the microbiome composition via 16S rRNA pyrosequencing and bioinformatics analysis of variable regions 3–4. We measured fasting levels of homocysteine (HCY), interleukin-6 (IL-6), and tumor necrosis factor α (TNF-α). Results revealed gut microbial dysbiosis in several patients with varying severities of OSAHS, reliably separating them from controls with a receiver operating characteristic-area under the curve (ROC-AUC) of 0.789. Functional analysis in the microbiomes of patients revealed alterations; additionally, decreased in short-chain fatty acid (SCFA)-producing bacteria and increased pathogens, accompanied by elevated levels of IL-6. Lactobacillus levels correlated with HCY levels. Stratification analysis revealed that the Ruminococcus enterotype posed the highest risk for patients with OSAHS. Our results show that the presence of an altered microbiome is associated with HCY among OSAHS patients. These changes in the levels of SCFA affect the levels of pathogens that play a pathophysiological role in OSAHS and related metabolic comorbidities.
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spelling pubmed-64653022019-04-24 Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities Ko, Chih-Yuan Liu, Qing-Quan Su, Huan-Zhang Zhang, Hua-Ping Fan, Ji-Mim Yang, Jiao-Hong Hu, An-Ke Liu, Yu-Qi Chou, Dylan Zeng, Yi-Ming Clin Sci (Lond) Research Articles Gut microbiota alterations manifest as intermittent hypoxia and fragmented sleep, thereby mimicking obstructive sleep apnea–hypopnea syndrome (OSAHS). Here, we sought to perform the first direct survey of gut microbial dysbiosis over a range of apnea–hypopnea indices (AHI) among patients with OSAHS. We obtained fecal samples from 93 patients with OSAHS [5 < AHI ≤ 15 (n=40), 15 < AHI ≤ 30 (n=23), and AHI ≥ 30 (n=30)] and 20 controls (AHI ≤ 5) and determined the microbiome composition via 16S rRNA pyrosequencing and bioinformatics analysis of variable regions 3–4. We measured fasting levels of homocysteine (HCY), interleukin-6 (IL-6), and tumor necrosis factor α (TNF-α). Results revealed gut microbial dysbiosis in several patients with varying severities of OSAHS, reliably separating them from controls with a receiver operating characteristic-area under the curve (ROC-AUC) of 0.789. Functional analysis in the microbiomes of patients revealed alterations; additionally, decreased in short-chain fatty acid (SCFA)-producing bacteria and increased pathogens, accompanied by elevated levels of IL-6. Lactobacillus levels correlated with HCY levels. Stratification analysis revealed that the Ruminococcus enterotype posed the highest risk for patients with OSAHS. Our results show that the presence of an altered microbiome is associated with HCY among OSAHS patients. These changes in the levels of SCFA affect the levels of pathogens that play a pathophysiological role in OSAHS and related metabolic comorbidities. Portland Press Ltd. 2019-04-12 /pmc/articles/PMC6465302/ /pubmed/30957778 http://dx.doi.org/10.1042/CS20180891 Text en © 2019 The Author(s). https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Research Articles
Ko, Chih-Yuan
Liu, Qing-Quan
Su, Huan-Zhang
Zhang, Hua-Ping
Fan, Ji-Mim
Yang, Jiao-Hong
Hu, An-Ke
Liu, Yu-Qi
Chou, Dylan
Zeng, Yi-Ming
Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
title Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
title_full Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
title_fullStr Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
title_full_unstemmed Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
title_short Gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
title_sort gut microbiota in obstructive sleep apnea–hypopnea syndrome: disease-related dysbiosis and metabolic comorbidities
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465302/
https://www.ncbi.nlm.nih.gov/pubmed/30957778
http://dx.doi.org/10.1042/CS20180891
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