Metabolomic approach for obstructive sleep apnea in adults: a systematic review.

IF 1 4区 医学 Q4 CLINICAL NEUROLOGY
Sleep and Biological Rhythms Pub Date : 2023-02-08 eCollection Date: 2023-07-01 DOI:10.1007/s41105-023-00445-5
Cristina Salles, Maria Clara Freitas, Amancio Souza, Paulo Ribeiro, Cristiane Dias, Michele Rosa, Miguel Meira E Cruz
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Abstract

Obstructive Sleep Apnea (OSA) corresponds to episodes of complete or partial upper airway obstruction during sleep. The gold standard for diagnosing OSA is polysomnography; however, metabolomics is an innovative and highly sensitive method that seeks to identify and quantify small molecules in biological systems. Identify the metabolites most frequently associated with obstructive sleep apnea in adults. The search for articles was conducted between October 2020 and August 2021, in electronic databases, such as MEDLINE/PubMed, Scielo, Embase, and Cochrane, through the combination of descriptors: obstructive sleep apnea, metabolomic, adult. This systematic review included all cross-sectional studies published, including human patients aged 18 years or older, of both genders who underwent type I or II polysomnography and metabolomics study. The search strategy selected 3697 surveys, and 4 of them were selected to be a part of this systematic review. Based on the analyzed surveys, it was found that all of them were able to diagnose OSA, reaching a sensitivity of 75-97%, and specificity that ranged from 72 to 100%; besides differentiating patients with OSA (severe, moderate, and mild) from simple snorers with a mean sensitivity of 77.2% and specificity of 66.25%. These findings suggest that, in addition to being used as a screening and diagnostic strategy for OSA, metabolomics has the potential to be used for severity stratification and to monitor the disease's progression.

Abstract Image

代谢组学方法治疗成人阻塞性睡眠呼吸暂停:一项系统综述
阻塞性睡眠呼吸暂停(OSA)是指睡眠时上气道完全或部分阻塞。诊断 OSA 的金标准是多导睡眠图;然而,代谢组学是一种创新的高灵敏度方法,旨在识别和量化生物系统中的小分子。确定最常与成人阻塞性睡眠呼吸暂停相关的代谢物。在 2020 年 10 月至 2021 年 8 月期间,在 MEDLINE/PubMed、Scielo、Embase 和 Cochrane 等电子数据库中通过组合描述符(阻塞性睡眠呼吸暂停、代谢组学、成人)检索文章。本系统综述包括所有已发表的横断面研究,包括年龄在 18 岁或以上、接受过 I 型或 II 型多导睡眠图和代谢组学研究的男女患者。搜索策略选择了 3697 项调查,其中 4 项被选入本系统综述。根据所分析的调查发现,所有这些调查都能诊断出 OSA,灵敏度达到 75-97%,特异性在 72-100% 之间;此外,还能将 OSA 患者(重度、中度和轻度)与单纯打鼾者区分开来,平均灵敏度为 77.2%,特异性为 66.25%。这些研究结果表明,代谢组学除了可用作 OSA 的筛查和诊断策略外,还具有用于严重程度分层和监测疾病进展的潜力。
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来源期刊
Sleep and Biological Rhythms
Sleep and Biological Rhythms 医学-临床神经学
CiteScore
2.20
自引率
9.10%
发文量
71
审稿时长
>12 weeks
期刊介绍: Sleep and Biological Rhythms is a quarterly peer-reviewed publication dealing with medical treatments relating to sleep. The journal publishies original articles, short papers, commentaries and the occasional reviews. In scope the journal covers mechanisms of sleep and wakefullness from the ranging perspectives of basic science, medicine, dentistry, pharmacology, psychology, engineering, public health and related branches of the social sciences
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