Ying Jiang, Chuankai Lin, Min Xu, Taiwen Zhu, Xuhong Li, Wei Wang
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引用次数: 0
Abstract
Introduction: Obstructive sleep apnea (OSA) is a respiratory disorder characterized by chronic intermittent hypoxia and fragmented sleep, leading to inflammatory response and oxidative stress. However, the differences in immune inflammatory response in OSA patients with different severity remain unclear.
Purpose: This study aims to examine the differences in peripheral blood immune cells and their risk factors in OSA patients.
Patients and methods: A total of 277 snoring patients from the Sleep Respiratory Disorder Monitoring Center of Zhongnan Hospital of Wuhan University were recruited in this study. According to the diagnosis and severity criteria of OSA, the included patients were further divided into simple snoring, mild, moderate, and severe groups. Peripheral blood immune cell counts including white blood cells, neutrophils, lymphocytes, monocytes, eosinophils, basophils, red blood cells, platelets, and polysomnography indicators were collected from the patients.
Results: Compared with simple snoring patients, the OSA patients had increased circular monocyte and basophil count levels. In addition, correlation analysis results indicated that monocyte count was positively associated with chronic obstructive pulmonary disease (COPD), smoking, apnea-hypopnea index (AHI), the longest apnea duration, and Oxygen desaturation index (ODI), and negatively correlated with average SpO2 in snoring patients. Finally, multiple linear regression analysis revealed that AHI, COPD, smoking, and maximum heart rate were independent predictors of monocyte count.
Conclusion: OSA patients had a significant increase in their peripheral blood monocyte count. AHI, COPD, smoking, and maximum heart rate were risk factors for increased peripheral blood monocyte count in OSA patients. These findings suggest that peripheral blood monocytes can be considered an inflammatory biomarker of OSA.
简介阻塞性睡眠呼吸暂停(OSA)是一种呼吸系统疾病,其特点是慢性间歇性缺氧和睡眠碎片化,导致炎症反应和氧化应激。目的:本研究旨在探讨 OSA 患者外周血免疫细胞的差异及其风险因素:本研究招募了武汉大学中南医院睡眠呼吸障碍监测中心的277名鼾症患者。根据 OSA 的诊断和严重程度标准,将患者分为单纯鼾症组、轻度组、中度组和重度组。收集患者的外周血免疫细胞计数,包括白细胞、中性粒细胞、淋巴细胞、单核细胞、嗜酸性粒细胞、嗜碱性粒细胞、红细胞、血小板和多导睡眠图指标:结果:与单纯打鼾患者相比,OSA 患者的环形单核细胞和嗜碱性粒细胞计数水平升高。此外,相关性分析结果显示,单核细胞计数与慢性阻塞性肺病(COPD)、吸烟、呼吸暂停-低通气指数(AHI)、最长呼吸暂停持续时间和氧饱和度指数(ODI)呈正相关,而与鼾症患者的平均SpO2呈负相关。最后,多元线性回归分析表明,AHI、慢性阻塞性肺病、吸烟和最大心率是单核细胞计数的独立预测因素:结论:OSA 患者的外周血单核细胞数量明显增加。AHI、慢性阻塞性肺病、吸烟和最大心率是导致 OSA 患者外周血单核细胞数量增加的风险因素。这些发现表明,外周血单核细胞可被视为 OSA 的炎症生物标志物。
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.