Sleep最新文献

{"title":"Excessive daytime sleepiness, omics biomarkers, and impaired glucose metabolism in OSA: what is objective evidence telling us.","authors":"Liyue Xu, Shuying Li, Fang Han","doi":"10.1093/sleep/zsae293","DOIUrl":"10.1093/sleep/zsae293","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142829836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Insomnia in pregnancy and obstetric outcomes.","authors":"Rachel Friedlander, Xiaoning Huang, Phyllis Zee, Sadiya S Khan, Philip Greenland, Francesca L Facco, Judith Chung, William A Grobman, David M Haas, Rebecca McNeil, Brian Mercer, Uma M Reddy, George R Saade, Robert M Silver, Laura E Wiener, Lynn M Yee","doi":"10.1093/sleep/zsae288","DOIUrl":"10.1093/sleep/zsae288","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142813485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel susceptibility genes and biomarkers for obstructive sleep apnea: insights from genetic and inflammatory proteins.","authors":"Yang Zhao, Yinyin Jiang, Yaxi Wang, Haiying Zhang, Jun Zhu, Xu Jiang, Bo Shen, Yaning Chen, Dongfeng Li, Yang Pan, Feng Han, Li Zhang","doi":"10.1093/sleep/zsae169","DOIUrl":"10.1093/sleep/zsae169","url":null,"abstract":"<p><strong>Study objectives: </strong>Numerous observational studies link obstructive sleep apnea (OSA) to inflammatory proteins, yet the directionality of these associations remains ambiguous. Therefore, we aimed to clarify the potential associations of gene-predicted inflammatory proteins with OSA.</p><p><strong>Methods: </strong>Based on genome-wide association study data, we applied Mendelian randomization (MR) to explore potential connections between circulating inflammatory proteins and OSA, primarily using the inverse-variance weighting method for robustness. Cochran's Q test, MR‒Egger intercept test, MR-PRESSO, and leave-one-out method were used to perform sensitivity tests for pleiotropy and heterogeneity. Replication analyses and meta-analyses were performed using other independent data. Steiger tests and multivariate MR assessed the independent effects of exposure factors, and the functional mapping and annotation (FUMA) platform was used to identify key genes to enhance the understanding of genetics.</p><p><strong>Results: </strong>Our investigation revealed 21 circulating inflammatory proteins significantly associated with OSA-related phenotypes. Notably, IL-10RA, IL-18R1, TNFSF14, CCL23, ADA, and SLAMF1 had significant effects on multiple phenotypes. After FDR correction, IL-18R1, SLAMF1, IL-10RA, and IL-17C were identified as important candidates for OSA, and multivariate MR analysis strengthened the independent heritability of 20 inflammatory factors. The FUMA platform revealed seven overlapping genes: ROBO1, PRIM1, NACA, SHBG, HSD17B6, RBMS2, and WWOX. All reverse MR analyses and sensitivity analyses confirmed the robustness of these associations.</p><p><strong>Conclusions: </strong>Our results underscore crucial associations between inflammatory proteins and OSA pathogenesis, revealing new correlates and susceptibility genes. These findings advance biomarker identification for OSA risk and highlight the importance of genetic and inflammatory profiles in OSA management.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11808066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141861001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pupillometric and perceptual approaches provide independent estimates of melanopsin activity in humans.","authors":"Tom Woelders, Altug Didikoglu, Lucien Bickerstaff, Timothy M Brown, Robert J Lucas","doi":"10.1093/sleep/zsae289","DOIUrl":"10.1093/sleep/zsae289","url":null,"abstract":"<p><strong>Study objectives: </strong>Melanopsin-expressing retinal ganglion cells, which provide light information to time sleep and entrain circadian clocks, also influence perceived brightness raising the possibility that psychophysical paradigms could be used to explore the origins and implications of variability in melanopic sensitivity. We aimed to develop accessible psychophysical tests of melanopic vision and relate outcomes with a pupillometric measure of melanopsin function (post-illumination pupil response) and prior light exposure.</p><p><strong>Methods: </strong>Individually calibrated pairs of isoluminant stimuli differing in melanopic radiance from a four primary source were presented sequentially with superimposed random color offsets in a two alternative forced choice brightness preference paradigm to 41 naïve adult participants with personal light exposure data for the prior 7 days and post-illumination pupil response measures defined by comparing maintained pupil constriction for luminance matched \"red\" vs \"blue\" pulses.</p><p><strong>Results: </strong>Across participants we observed the expected tendency to report positive melanopsin contrast stimuli as \"brighter\" (one-tailed t-test p < 0.001), but with substantial inter-individual variability in both sensitivity (melanopsin contrast at criterion preference p = 0.75) and amplitude (preference at maximum melanopic contrast). There was little correlation between these psychophysical outcomes and post-illumination pupil response magnitude, or between either psychophysical or post-illumination pupil response measures and light history metrics (pairwise Pearson correlation coefficients -0.5> < 0.5). Random forest machine learning failed to satisfactorily predict outcome for either psychophysical or post-illumination pupil response measures based upon these inputs.</p><p><strong>Conclusions: </strong>Our findings reveal that estimates of melanopic function provided by perceptual and pupillometric paradigms can be largely independent of one another and of recent history of light exposure.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11808064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Obstructive sleep apnea and cerebral small vessel disease in community-based older people: an aspirin in reducing events in the elderly imaging substudy.","authors":"Stephanie A Ward, Elsdon Storey, Matthew T Naughton, Rory Wolfe, Garun S Hamilton, Meng Law, Ryo Kawasaki, Walter P Abhayaratna, Katherine L Webb, Fergal J O'Donoghue, Danijela Gasevic, Nigel P Stocks, Ruth E Trevaks, Liubov D Robman, Scott Kolbe, Sharyn M Fitzgerald, Suzanne G Orchard, Tien Y Wong, John J McNeil, Christopher M Reid, Ben Sinclair, Robyn L Woods","doi":"10.1093/sleep/zsae204","DOIUrl":"10.1093/sleep/zsae204","url":null,"abstract":"<p><strong>Study objectives: </strong>Obstructive sleep apnea (OSA) may increase the risk of dementia. A potential pathway for this risk is through cerebral small vessel disease (CSVD). In the context of an existing randomized trial of aspirin for primary prevention, we aimed to investigate OSA's impact on CSVD imaging measures and explore whether aspirin effects these measures over 3 years that differ in the presence or absence of OSA.</p><p><strong>Methods: </strong>A substudy of the aspirin in reducing events in the elderly (ASPREE) randomized placebo-controlled trial of low-dose aspirin. Community-dwelling participants aged 70 years and above, without cognitive impairment, cardiovascular disease, or known OSA completed an unattended limited-channel sleep study that calculated the oxygen desaturation index and apnea-hypopnea index. At baseline and 3 years later, volumes of white matter hyperintensities (WMH) and silent brain infarctions (SBI) were measured on 1.5 Tesla brain magnetic resonance imaging, and retinal vessel calibers were calculated from retinal vascular imaging.</p><p><strong>Results: </strong>Mild and moderate/severe OSA was detected in 48.9% and 29.9%, respectively, of the 311 participants, who had a mean age of 73.7 years (SD 3.4 years), 38.6% female. OSA of any severity was not associated with WMH volumes, SBI, nor retinal vessel calibers at baseline, nor with change in these measures in the 277 participants with repeated measures acquired after 3 years. OSA of any severity did not interact with aspirin on change in these measures over 3 years.</p><p><strong>Conclusions: </strong>In healthy older adults undiagnosed OSA was not associated with retinal vascular calibers and neuroimaging measures of CSVD.</p><p><strong>Clinical trial information: </strong>ASPREE trial has registration with the International Standard Randomized Controlled Trial Number (ISRCTN) www.isrctn.com, ISRCTN83772183 and with www.clinicaltrials.gov, NCT01038583. SNORE-ASA has registration with the Australian New Zealand Clinical Trials Registry (ANZCTR) at www.anzctr.org.au, ACTRN12612000891820.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11807880/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142295979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep homeostatic and circadian clock changes can be obtained by manipulating one single kinase, but do the two processes meet each other there?","authors":"Tom Deboer","doi":"10.1093/sleep/zsae291","DOIUrl":"10.1093/sleep/zsae291","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11807888/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracking vigilance fluctuations in real-time: a sliding-window heart rate variability-based machine-learning approach.","authors":"Tian Xie, Ning Ma","doi":"10.1093/sleep/zsae199","DOIUrl":"10.1093/sleep/zsae199","url":null,"abstract":"<p><strong>Study objectives: </strong>Heart rate variability (HRV)-based machine learning models hold promise for real-world vigilance evaluation, yet their real-time applicability is limited by lengthy feature extraction times and reliance on subjective benchmarks. This study aimed to improve the objectivity and efficiency of HRV-based vigilance evaluation by associating HRV and behavior metrics through a sliding window approach.</p><p><strong>Methods: </strong>Forty-four healthy adults underwent psychomotor vigilance tasks under both well-rested and sleep-deprived conditions, with simultaneous electrocardiogram recording. A sliding-window approach (30 seconds length, 10 seconds step) was used for HRV feature extraction and behavior assessment. Repeated-measures ANOVA was used to examine how HRV related to objective vigilance levels. Stability selection technique was applied for feature selection, and the vigilance ground truth-high (fastest 40%), intermediate (middle 20%), and low (slowest 40%)-was determined based on each participant's range of performance. Four machine-learning classifiers-k-nearest neighbors, support vector machine (SVM), AdaBoost, and random forest-were trained and tested using cross-validation.</p><p><strong>Results: </strong>Fluctuated vigilance performance indicated pronounced state instability, particularly after sleep deprivation. Temporary decrements in performance were associated with a decrease in heart rate and an increase in time-domain heart rate variability. SVM achieved the best performance, with a cross-validated accuracy of 89% for binary classification of high versus low vigilance epochs. Overall accuracy dropped to 72% for three-class classification in leave-one-participant-out cross-validation, but SVM maintained a precision of 84% in identifying low-vigilance epochs.</p><p><strong>Conclusions: </strong>Sliding-window-based HRV metrics would effectively capture the fluctuations in vigilance during task execution, enabling more timely and accurate detection of performance decrement.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142056582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dangers of sleeping, and not sleeping enough, in war.","authors":"John A Lesku","doi":"10.1093/sleep/zsae298","DOIUrl":"10.1093/sleep/zsae298","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142932109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Talking to sleepwalkers? Response to communication efforts in disorders of arousals.","authors":"Yannis Idir, Régis Lopez, Amélie Barbier, Sony Saint-Auret, Emmanuel Morain, Raphaël Vollhardt, Inès Ben Haj Kacem, Arthur Le Coz, Ana Gales, Pauline Dodet, Smaranda Leu-Semenescu, Yves Dauvilliers, Isabelle Arnulf, Delphine Oudiette","doi":"10.1093/sleep/zsae272","DOIUrl":"10.1093/sleep/zsae272","url":null,"abstract":"<p><strong>Study objectives: </strong>Disorders of arousal (DoA) are diagnosed on the basis of clinical criteria, including inappropriate or absent responsiveness to communication attempts. Surprisingly, the ability of patients to interact with others during DoA episodes has not been systematically investigated. To address this gap, we conducted three studies.</p><p><strong>Methods: </strong>First, we used a retrospective questionnaire to assess verbal responsiveness during episodes in 61 adult patients with DoA (Study 1). Second, we used auditory stimulation during polysomnographically verified N3 sleep to trigger DoA episodes in 14 patients. We then asked questions to test the possibility of verbal interactions during the episodes (Study 2). Third, we assessed the presence and quality of conversations with a bed partner in 364 home video-recorded episodes from 19 patients (Study 3).</p><p><strong>Results: </strong>In Study 1, most patients (81%) reported occasional conversations during parasomnia episodes. Patients' ongoing mental content influenced both their responses to questions during episodes and their perception of the outside world (including their surroundings and the identity of their interlocutor ). In Study 2, auditory stimulation had a limited effect in inducing episodes (7/157 trials). One patient indirectly responded to our verbal prompts in a DoA episode. In Study 3, we found 37 video instances of discussion between patients and their partner.</p><p><strong>Conclusions: </strong>Overall, our findings suggest that DoA episodes are not a uniform state but may instead encompass varying states of consciousness, characterized by different levels of responsiveness and a complex interplay between internal and external information processing. These results highlight the limitations of current diagnostic criteria for DoA.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11807887/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142682469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Probabilistic sleep staging in MSLTs across hypersomnia disorders.","authors":"Louise Hjuler Andersen, Andreas Brink-Kjaer, Oliver Sum-Ping, Fabio Pizza, Francesco Biscarini, Niels Christian Haubjerg Østerby, Emmanuel Mignot, Giuseppe Plazzi, Poul J Jennum","doi":"10.1093/sleep/zsae241","DOIUrl":"10.1093/sleep/zsae241","url":null,"abstract":"<p><strong>Study objectives: </strong>This study aimed to identify novel markers of narcolepsy type 1 (NT1) using between-nap opportunity periods (\"lights on\") and in-nap opportunity periods (\"lights off\") features of Multiple Sleep Latency Test (MSLT) recordings. We hypothesized that NT1 could be identified both from sleep-wake instability and patterns of sleepiness during wakefulness. Further, we explored if MSLTs from NT1 and narcolepsy type 2 (NT2) patients could be distinguished despite having the same diagnostic thresholds.</p><p><strong>Methods: </strong>We analyzed \"lights on\" and \"lights off\" periods of the MSLT, extracting 163 features describing sleepiness, microsleep, and sleep stage mixing using data from 177 patients with NT1, NT2, idiopathic hypersomnia (IH), and subjective hypersomnia (sH) from three sleep centers. These features were based on automated probabilistic sleep staging, also denoted as hypnodensities, using U-Sleep. Hypersomnias were differentiated using either or both features from \"lights on\" and \"lights off.\"</p><p><strong>Results: </strong>Patients with NT1 could be distinguished from NT2, IH, and sH using features solely from \"lights on\" periods with a sensitivity of 0.76 and specificity of 0.71. When using features from all periods of the MSLT, NT1 was distinguished from NT2 alone with a sensitivity of 0.77 and a specificity of 0.84.</p><p><strong>Conclusions: </strong>The findings of this study demonstrate microsleeps and sleep stage mixing as potential markers of sleep attacks and unstable sleep-wake states common in NT1. Further, NT1 and NT2 could be frequently distinguished using \"lights off\" features.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142406813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}