Correlation Analysis of Characteristics of Intestinal Microbiota and Cytokine Levels in Patients with Obstructive Sleep Apnea-Hypopnea Syndrome.

IF 3 2区医学 Q2 CLINICAL NEUROLOGY

Nature and Science of Sleep Pub Date : 2024-09-30 eCollection Date: 2024-01-01 DOI:10.2147/NSS.S471264

Kai-Li Liu, Shen-Jie Xu, Si-Wen Chen, Min-Jie Zhang, Ni Ye, Jie Li

{"title":"Correlation Analysis of Characteristics of Intestinal Microbiota and Cytokine Levels in Patients with Obstructive Sleep Apnea-Hypopnea Syndrome.","authors":"Kai-Li Liu, Shen-Jie Xu, Si-Wen Chen, Min-Jie Zhang, Ni Ye, Jie Li","doi":"10.2147/NSS.S471264","DOIUrl":null,"url":null,"abstract":"Objective: The aim of this study was to analyze the relationship between the characteristics of the intestinal microbiota and cytokine levels in individuals with different degrees of obstructive sleep apnea-hypopnea syndrome (OSAHS) as well as to investigate intestinal microbiota imbalances in patients with OSAHS and the associated mechanisms.Methods: Based on their sleep apnea hypopnea index (AHI), a total of 37 adults were assigned to a control group, a mild OSAHS group, or a moderate-to-severe OSAHS group. Fecal samples were collected to characterize the intestinal microbiota using metagenomic next-generation sequencing (mNGS), while blood samples were collected to detect levels of interleukin-17a (IL-17a), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6) in each group.Results: 1. There was no significant difference in the Shannon index among the three groups (P > 0.05). The three groups showed significant difference in the relative abundance of Faecalibacterium prausnitzii and Bifidobacterium adolescentis (with F values of 3.955 and 7.24, respectively, P < 0.05), while showed no significant difference in the relative abundance of B. pseudocatenulatum, Bifidobacterium longum, Klebsiella pneumoniae, and Haemophilus parainfluenzae (P > 0.05). 2. The three groups showed significant difference in the expression of serum IL-17A and TNF-α levels (with F values of 18.119 and 10.691, respectively, P < 0.05), while showed no significant difference in the expression of IL-10, IL-6, and CRP levels (P > 0.05). 3. Multiple linear regression analysis revealed that the relative abundance of F. prausnitzii was correlated with changes in BMI and AHI (with β values of 2.585 and -0.157, respectively, P < 0.05), while the relative abundance of B. adolescentis was correlated with changes in IL-17a (with β value of -0.161, P < 0.05).Conclusion: The study revealed a significant correlation between intestinal microbiota abundance and cytokine levels, suggesting that gut microbiota disruption in OSAHS patients may be linked to systemic chronic inflammation.","PeriodicalId":18896,"journal":{"name":"Nature and Science of Sleep","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11451461/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature and Science of Sleep","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/NSS.S471264","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Objective: The aim of this study was to analyze the relationship between the characteristics of the intestinal microbiota and cytokine levels in individuals with different degrees of obstructive sleep apnea-hypopnea syndrome (OSAHS) as well as to investigate intestinal microbiota imbalances in patients with OSAHS and the associated mechanisms.

Methods: Based on their sleep apnea hypopnea index (AHI), a total of 37 adults were assigned to a control group, a mild OSAHS group, or a moderate-to-severe OSAHS group. Fecal samples were collected to characterize the intestinal microbiota using metagenomic next-generation sequencing (mNGS), while blood samples were collected to detect levels of interleukin-17a (IL-17a), interleukin-10 (IL-10), tumor necrosis factor-alpha (TNF-α), and interleukin-6 (IL-6) in each group.

Results: 1. There was no significant difference in the Shannon index among the three groups (P > 0.05). The three groups showed significant difference in the relative abundance of Faecalibacterium prausnitzii and Bifidobacterium adolescentis (with F values of 3.955 and 7.24, respectively, P < 0.05), while showed no significant difference in the relative abundance of B. pseudocatenulatum, Bifidobacterium longum, Klebsiella pneumoniae, and Haemophilus parainfluenzae (P > 0.05). 2. The three groups showed significant difference in the expression of serum IL-17A and TNF-α levels (with F values of 18.119 and 10.691, respectively, P < 0.05), while showed no significant difference in the expression of IL-10, IL-6, and CRP levels (P > 0.05). 3. Multiple linear regression analysis revealed that the relative abundance of F. prausnitzii was correlated with changes in BMI and AHI (with β values of 2.585 and -0.157, respectively, P < 0.05), while the relative abundance of B. adolescentis was correlated with changes in IL-17a (with β value of -0.161, P < 0.05).

Conclusion: The study revealed a significant correlation between intestinal microbiota abundance and cytokine levels, suggesting that gut microbiota disruption in OSAHS patients may be linked to systemic chronic inflammation.

查看原文本刊更多论文

阻塞性睡眠呼吸暂停-呼吸暂停综合征患者肠道微生物群特征与细胞因子水平的相关性分析

研究目的本研究旨在分析不同程度的阻塞性睡眠呼吸暂停-低通气综合征（OSAHS）患者的肠道微生物群特征与细胞因子水平之间的关系，并探讨OSAHS患者的肠道微生物群失衡及其相关机制：根据睡眠呼吸暂停低通气指数（AHI）将37名成人分为对照组、轻度OSAHS组和中重度OSAHS组。收集粪便样本是为了利用元基因组下一代测序（mNGS）确定肠道微生物群的特征，同时收集血液样本是为了检测各组中白细胞介素-17a（IL-17a）、白细胞介素-10（IL-10）、肿瘤坏死因子-α（TNF-α）和白细胞介素-6（IL-6）的水平：1.三组的香农指数无明显差异（P>0.05）。三组的普氏粪杆菌和青春期双歧杆菌的相对丰度有显著差异（F值分别为3.955和7.24，P＜0.05），而假肠杆菌、长双歧杆菌、肺炎克雷伯菌和副流感嗜血杆菌的相对丰度无显著差异（P＞0.05）。2.2. 三组血清 IL-17A 和 TNF-α 水平的表达有显著差异（F 值分别为 18.119 和 10.691，P <0.05），而 IL-10、IL-6 和 CRP 水平的表达无显著差异（P >0.05）。3.3. 多元线性回归分析显示，F. prausnitzii的相对丰度与BMI和AHI的变化相关（β值分别为2.585和-0.157，P＜0.05），而B. adolescentis的相对丰度与IL-17a的变化相关（β值为-0.161，P＜0.05）：研究显示，肠道微生物群丰度与细胞因子水平之间存在明显相关性，这表明 OSAHS 患者的肠道微生物群紊乱可能与全身慢性炎症有关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Nature and Science of Sleep Neuroscience-Behavioral Neuroscience

CiteScore

5.70

自引率

5.90%

发文量

245

审稿时长

16 weeks

期刊介绍： Nature and Science of Sleep is an international, peer-reviewed, open access journal covering all aspects of sleep science and sleep medicine, including the neurophysiology and functions of sleep, the genetics of sleep, sleep and society, biological rhythms, dreaming, sleep disorders and therapy, and strategies to optimize healthy sleep. Specific topics covered in the journal include: The functions of sleep in humans and other animals Physiological and neurophysiological changes with sleep The genetics of sleep and sleep differences The neurotransmitters, receptors and pathways involved in controlling both sleep and wakefulness Behavioral and pharmacological interventions aimed at improving sleep, and improving wakefulness Sleep changes with development and with age Sleep and reproduction (e.g., changes across the menstrual cycle, with pregnancy and menopause) The science and nature of dreams Sleep disorders Impact of sleep and sleep disorders on health, daytime function and quality of life Sleep problems secondary to clinical disorders Interaction of society with sleep (e.g., consequences of shift work, occupational health, public health) The microbiome and sleep Chronotherapy Impact of circadian rhythms on sleep, physiology, cognition and health Mechanisms controlling circadian rhythms, centrally and peripherally Impact of circadian rhythm disruptions (including night shift work, jet lag and social jet lag) on sleep, physiology, cognition and health Behavioral and pharmacological interventions aimed at reducing adverse effects of circadian-related sleep disruption Assessment of technologies and biomarkers for measuring sleep and/or circadian rhythms Epigenetic markers of sleep or circadian disruption.