Chromatography/Mass Spectrometry-Based Biomarkers in the Field of Obstructive Sleep Apnea

Xu, Huajun; Zheng, Xiaojiao; Wei, Jia; Yin, Shankai

doi:10.1097/md.0000000000001541

Cited by 17 publications

(16 citation statements)

References 85 publications

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“…The general notion is that metabolic biomarkers obtained from blood and/or urine samples are potentially useful in understanding OSA mechanisms and OSA management. A systematic review of individual metabolites detected by chromatography and/or mass spectrometry supports this conclusion [ 48 ]. Several metabolites related to lipid metabolism, amino acids, oxidative stress pathways, adrenergic/dopaminergic biomarkers and micromolecules have been reported to be altered in patients with OSA.…”

Section: Obstructive Sleep Apneamentioning

confidence: 88%

Metabolomics in Sleep, Insomnia and Sleep Apnea

Humer

Pieh

Brandmayr

2020

IJMS

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Sleep-wake disorders are highly prevalent disorders, which can lead to negative effects on cognitive, emotional and interpersonal functioning, and can cause maladaptive metabolic changes. Recent studies support the notion that metabolic processes correlate with sleep. The study of metabolite biomarkers (metabolomics) in a large-scale manner offers unique opportunities to provide insights into the pathology of diseases by revealing alterations in metabolic pathways. This review aims to summarize the status of metabolomic analyses-based knowledge on sleep disorders and to present knowledge in understanding the metabolic role of sleep in psychiatric disorders. Overall, findings suggest that sleep-wake disorders lead to pronounced alterations in specific metabolic pathways, which might contribute to the association of sleep disorders with other psychiatric disorders and medical conditions. These alterations are mainly related to changes in the metabolism of branched-chain amino acids, as well as glucose and lipid metabolism. In insomnia, alterations in branched-chain amino acid and glucose metabolism were shown among studies. In obstructive sleep apnea, biomarkers related to lipid metabolism seem to be of special importance. Future studies are needed to examine severity, subtypes and treatment of sleep-wake disorders in the context of metabolite levels.

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Section: Obstructive Sleep Apneamentioning

confidence: 88%

Metabolomics in Sleep, Insomnia and Sleep Apnea

Humer

Pieh

Brandmayr

2020

IJMS

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“…Identifying the biochemical alterations related to different diets provide valuable insights into the associations between metabolism and phenotypes [22][23][24][25][26]. Global metabolomics captures system end point responses to these biological perturbations by measuring the chemical compositions of biological samples, such as biofluids and tissues.…”

Section: Introductionmentioning

confidence: 99%

Calorie restriction and its impact on gut microbial composition and global metabolism

Zheng

Wang

2018

Front. Med.

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Calorie restriction (CR) is a dietary regimen that reduces calorie intake without incurring malnutrition or a reduction in essential nutrients. It has long been recognized as a natural strategy for promoting health, extending longevity, and prevents the development of metabolic and age-related diseases. In the present review, we focus on the general effect of CR on gut microbiota composition and global metabolism. We also propose mechanisms for its beneficial effect. Results showed that probiotic and butyrate-producing microbes increased their relative abundance, whereas proinflammatory strains exhibited suppressed relative abundance following CR. Analyses of the gut microbial and host metabolisms revealed that most host microbial co-metabolites were changed due to CR. Examples of dramatic CR-induced changes in host metabolism included a decrease in the rate of lipid biosynthesis and an increase in the rates of fatty acid catabolism, β-oxidation, glycogenolysis, and gluconeogenesis. The observed phenotypes and the further verification of the direct link between gut microbiota and metabolome may benefit patients that are at risk for developing metabolic disease. Thus, improved gut microbiota composition and metabolome are potential biomarkers for determining the effectiveness of dietary interventions for age-related and metabolic diseases.

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“…Notably, the accuracy of the AHI calculated using snoring analysis compared with the AHI calculated from PSG has been reported to be 96.7, 86.7 and 96.7% in patients with mild, moderate and severe OSA, respectively (23). Although acoustic analysis has previously shown high agreement with the results of PSG, this technology is sophisticated and requires considerable technical expertise (10). Furthermore, a type 3 portable monitoring (PM) device (Stardust II Sleep Recorder; Philips Respironics, Inc.) has been recommended for use in a clinical environment if the recordings are reviewed manually (21).…”

Section: Discussionmentioning

confidence: 99%

“…In addition to the OSA-associated health consequences, OSA results in increasing social and economic burdens, including car accidents, inefficiency at work and reduced social ability (7–9). Although general practitioners are aware of OSA, there is a limited availability of efficient diagnostic methods, and a diagnosis of OSA is important, since it may be associated with other serious complications (10). The majority of undiagnosed OSA patients are not aware of the dangers caused by OSA and do not seek therapy (11).…”

Section: Introductionmentioning

confidence: 99%

Validation of a novel sleep-monitoring system for diagnosing obstructive sleep apnea: A comparison with polysomnography

Meng

Guan

et al. 2016

Experimental and Therapeutic Medicine

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Overnight polysomnography (PSG) is currently the gold standard for diagnosing obstructive sleep apnea (OSA); however, it is time-consuming, expensive and uncomfortable for the patient. A micromovement sensitive mattress (MSM) sleep-monitoring system was developed as an alternative to PSG, however, there has yet to be a study verifying the accuracy of diagnosing OSA with this device. Therefore, the present study assessed the validity of the MSM sleep-monitoring system. Chinese Han participants who were suspected of having OSA were recruited between June 2013 and June 2014. The MSM sleep-monitoring system and PSG were utilized simultaneously overnight on each subject. The apnea-hypopnea index (AHI) was measured by the MSM sleep-monitoring system (AHIMSM) and compared with that determined by PSG (AHIPSG), revealing a significant correlation between the two values (r=0.97, P<0.001). Bland-Altman plots also indicated good agreement (97%) between MSM and PSG. Using an AHIPSG cut-off of ≥5, ≥15 and ≥30 events/h, the sensitivity (specificity) of detecting an AHIMSM of ≥5, ≥15, and ≥30 events/h were 94.9 (100%), 89.9 (96.9%) and 90.3% (94.9%), respectively. The areas under the receiver operating characteristic curve, which were used to differentiate an AHIPSG of ≥5, ≥15 and ≥30 events/h in clinically diagnosed OSA, were 0.984, 0.982 and 0.980, respectively. Thus, the MSM sleeping system may accurately diagnose OSA in the Chinese Han population. Further community-based studies with larger sample sizes are warranted to confirm the validity of this MSM sleeping system.

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Chromatography/Mass Spectrometry-Based Biomarkers in the Field of Obstructive Sleep Apnea

Cited by 17 publications

References 85 publications

Metabolomics in Sleep, Insomnia and Sleep Apnea

Metabolomics in Sleep, Insomnia and Sleep Apnea

Calorie restriction and its impact on gut microbial composition and global metabolism

Validation of a novel sleep-monitoring system for diagnosing obstructive sleep apnea: A comparison with polysomnography

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