Sleep最新文献

{"title":"Transcriptional regulation of daily sleep amount by TCF4-HDAC4-CREB complex in mice.","authors":"Rui Zhou, Chaodong Zhang, Rui Gan, Xin Yin, Meng Wang, Bihan Shi, Lin Chen, Chongyang Wu, Qi Li, Qinghua Liu","doi":"10.1093/sleep/zsae313","DOIUrl":"10.1093/sleep/zsae313","url":null,"abstract":"<p><p>Histone deacetylase HDAC4/5 cooperates with cAMP response element-binding protein (CREB) in the transcriptional regulation of daily sleep amount downstream of LKB1-SIK3 kinase cascade in mice. Here, we report a significant enrichment of the E-box motifs for the basic loop-helix-loop (bHLH) proteins near the CREB- and HDAC4-binding sites in the mouse genome. Adeno-associated virus-mediated expression of class I bHLH transcription factors, such as TCF4, TCF3, or TCF12, across the mouse brain neurons reduces the duration of rapid eye movement sleep (REMS) and non-REMS (NREMS). TCF4 requires its bHLH domain to regulate REMS or NREMS amount, of which the latter is mostly independent of the E-box-binding activity. Consistent with that TCF4 interacts with CREB and HDAC4 via the bHLH domain, TCF4 relies on CREB and partly on HDAC4 to regulate NREMS/REMS amount. Conversely, the ability of CREB to regulate sleep duration also requires its binding to TCF4 and HDAC4. Together, these results indicate that TCF4, HDAC4, and CREB could function cooperatively in the transcriptional regulation of daily sleep amount in mice.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142923231","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":"Sleep trajectory of hospitalized medically ill older adults: do sleep medications make a difference?","authors":"Juliana Smichenko, Tamar Shochat, Anna Zisberg","doi":"10.1093/sleep/zsaf013","DOIUrl":"10.1093/sleep/zsaf013","url":null,"abstract":"<p><strong>Study objectives: </strong>Sleep disturbances are prevalent during acute hospitalization in medically ill older patients, with undesirable outcomes. Sleep medication use is common, but its effectiveness is questionable. This study explored the trajectory of sleep parameters from home to hospital and assessed the impact of sleep medication use, considering covariates such as physical symptom burden.</p><p><strong>Methods: </strong>A prospective multicenter study was conducted in four Israeli hospitals. Cognitively intact older patients (n = 683), with an admission interview and at least one follow-up, were recruited. Total sleep time (TST), sleep efficiency (SE), sleep quality (SQ), number of awakenings (NOAs), sleep medication use, sleep medication burden (quantity and dosage), and physical symptom burden were recorded daily. Personal and illness-related covariates were included in a repeated measures mixed models design.</p><p><strong>Results: </strong>Participants (male: 54%, aged 77.31 ± 6.60) showed shorter TST (329.73 ± 111.94 vs. 377.03 ± 101.06 min), lower SE (71.49 ± 19.28% vs. 76.14 ± 15.53%), and higher probability for lower SQ, in the hospital compared to home. Sleep medication use was not correlated with any sleep parameters; sleep medication burden was associated with NOA. Physical symptom burden showed significant main effects on SE, SQ, and NOA, and a significant interaction was found with time points on TST, such that higher burden was more strongly associated with shorter TST at first in-hospital follow-up than at admission, with no differences between all subsequent in-hospital time points.</p><p><strong>Conclusions: </strong>Sleep declined during acute hospitalization compared to the home, with sleep medications showing minimal effect. Managing symptom burden should be prioritized when addressing sleep disturbances in older patients during hospitalization.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143011880","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":"Sleep timing, sleep timing regularity, and cognitive performance in women entering late adulthood: the Study of Women's Health Across the Nation (SWAN).","authors":"Leslie M Swanson, Michelle M Hood, Rebecca C Thurston, Meryl A Butters, Christopher E Kline, Howard M Kravitz, Nancy E Avis, Genevieve Neal-Perry, Hadine Joffe, Siobán D Harlow, Carol A Derby","doi":"10.1093/sleep/zsaf041","DOIUrl":"10.1093/sleep/zsaf041","url":null,"abstract":"<p><strong>Study objectives: </strong>This study examined whether sleep timing and its regularity are associated with cognitive performance in older women and whether associations vary based on cardiometabolic risk factors.</p><p><strong>Methods: </strong>The cross-sectional analysis included 1177 community-dwelling females (mean age 65 years) from the observational Study of Women's Health Across the Nation (SWAN) annual visit 15. Sleep timing (mean midpoint from sleep onset to wake-up) and its regularity (standard deviation of midpoint) were assessed using actigraphy. Cognitive measures included immediate and delayed verbal memory, working memory, and processing speed. Cardiometabolic risk measures included central obesity, hypertension, diabetes, and the Atherosclerotic Cardiovascular Disease (ASCVD) risk score. Linear regression models, adjusted for covariates, tested associations between sleep and cognitive measures.</p><p><strong>Results: </strong>After covariate adjustment, early sleep timing was associated with worse delayed verbal memory (β = -0.37; p = .047) and late sleep timing was associated with worse processing speed (β = -1.80; p = .008). Irregular sleep timing was associated with worse immediate (β = -0.29; p = .020) and delayed verbal memory (β = -0.36; p = .006), and better working memory (β = 0.50; p = .004). Associations between early sleep timing and delayed verbal memory strengthened as ASCVD risk increased (interaction β = -8.83, p = .026), and sleep timing irregularity's effect on working memory was stronger among women with hypertension (interaction β = -3.35, p = .039).</p><p><strong>Conclusions: </strong>Sleep timing and its regularity are concurrently associated with cognitive performance in older women. Cardiovascular disease risk may modify some of these associations. Future longitudinal studies are needed to clarify these relationships.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12068052/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143426350","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":"Seasonal and daily variation in indoor light and temperature associate with sleep disturbance in dementia.","authors":"Anne C Skeldon, Thalia Rodriguez, Eyal Soreq, Chloe Walsh, Derk-Jan Dijk","doi":"10.1093/sleep/zsaf125","DOIUrl":"https://doi.org/10.1093/sleep/zsaf125","url":null,"abstract":"<p><p>Mechanisms regulating human sleep and physiology have evolved in response to rhythmic variation in environmental variables driven by the Earth's rotation around its axis and the Sun. To what extent these mechanisms are operable in vulnerable people who are primarily exposed to the indoor environment remains unknown. We analysed 26,523 days of data from outdoor and indoor environmental sensors and a contactless behaviour-and-physiology sensor tracking bed occupancy, heart and breathing rate in 70 people living with dementia (PLWD). Indoor light and temperature, sleep timing, duration and fragmentation as well as the timing of the heart rate minimum all varied across seasons. Beyond the effects of season, higher bedroom temperature and less bright indoor daytime light associated with more disrupted sleep and higher respiratory rate. This sensitivity of sleep and physiology to ecologically relevant variations in indoor environmental variables implies that implementing approaches to control indoor light and temperature can improve sleep.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044670","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":"Evaluation of Dreem headband for sleep staging and EEG spectral analysis in people living with Alzheimer's and older adults.","authors":"Kiran K G Ravindran, Ciro Della Monica, Giuseppe Atzori, Ramin Nilforooshan, Hana Hassanin, Victoria Revell, Derk-Jan Dijk","doi":"10.1093/sleep/zsaf122","DOIUrl":"10.1093/sleep/zsaf122","url":null,"abstract":"<p><strong>Study objectives: </strong>Portable electroencephalography (EEG) devices offer the potential for accurate quantification of sleep at home but have not been evaluated in relevant populations. We assessed the Dreem headband (DHB) and its automated sleep staging algorithm in 62 older adults [age (mean±SD) 70.5±6.7 years; 12 Alzheimer's].</p><p><strong>Methods: </strong>The accuracy of sleep measures, epoch-by-epoch staging, and the quality of EEG signals for quantitative EEG (qEEG) analysis were compared to standard polysomnography (PSG) in a sleep laboratory.</p><p><strong>Results: </strong>The DHB algorithm accurately estimated total sleep time (TST) and sleep efficiency (SEFF) with a Symmetric Mean Absolute Percentage Error (SMAPE) <10%. Wake after sleep onset (WASO) and number of awakenings (NAW) were underestimated (WASO: ~17 minutes; NAW: ~9 counts) with SMAPE <20%. Sleep onset latency (SOL) was overestimated by ~30 minutes when using the entire DHB recording period, but it was accurate (Bias: 0.3 minutes) when estimated over the lights-off period. Stage N3 and total non-rapid eye movement (NREM) sleep durations were estimated accurately (Bias <20 minutes), while REM sleep was overestimated (~25 minutes; SMAPE: ~24%). Epoch-by-epoch sleep/wake classification showed acceptable performance (MCC=0.77±0.17) and 5-stage sleep classification was moderate (MCC=0.54±0.14). After artifact removal, 73% of the recordings were usable for qEEG analysis. Concordance (p<0.001) of EEG band power ranged from moderate to good: slow wave activity r2=0.57; theta r2=0.56; alpha r2=0.65; sigma power r2=0.34.</p><p><strong>Conclusions: </strong>DHB algorithm provides accurate estimates of several sleep measures and qEEG metrics. However, further improvement in REM detection is needed to enhance its utility for research and clinical applications.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044668","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":"Age-Related Variations in Repeated Intravenous Iron Infusions for Pediatric Sleep-Related Movement Disorders.","authors":"Lourdes M DelRosso, Mary Anne Tablizo, Daniel Picchietti, Maida Lynn Chen","doi":"10.1093/sleep/zsaf121","DOIUrl":"https://doi.org/10.1093/sleep/zsaf121","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019509","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":"The subcortical correlates of self-reported sleep quality.","authors":"Martin M Monti","doi":"10.1093/sleep/zsaf115","DOIUrl":"https://doi.org/10.1093/sleep/zsaf115","url":null,"abstract":"<p><strong>Study objectives: </strong>To assess the association between self-reported measures of sleep quality and cortical and subcortical local morphometry.</p><p><strong>Methods: </strong>Sleep quality, operationalized with the Pittsburgh Sleep Quality Index (PSQI), and neuroanatomical data from the full release of the young adult Human Connectome Project dataset were analyzed (N=1,112; 46% female; mean age: 28.8 years old). Local cortical and subcortical morphometry was measured with subject-specific segmentations resulting in voxelwise gray matter difference (i.e., voxel-based morphometry) measurements for cortex and local shape measurements for subcortical regions. Associations between the total score of PSQI, two statistical groupings of its subcomponents (obtained with a principal component analysis), and their interaction with demographic (i.e., sex, age, handedness, years of education) and biometric (i.e., BMI) variables were assessed using a general linear model and a nonparametric permutation approach.</p><p><strong>Results: </strong>Sleep quality-related variance was significantly associated with subcortical morphometry, particularly in the bilateral caudate, putamen, and left pallidum, where smaller shape measures correlated with worse sleep quality. Notably, these associations were independent of demographic and biometric factors. In contrast, cortical morphometry, along with additional subcortical sites, showed no direct associations with sleep quality but demonstrated interactions with demographic and biometric variables.</p><p><strong>Conclusions: </strong>This study reveals a specific link between self-reported sleep quality and subcortical morphometry, particularly within the striatum and pallidum, reinforcing the role of these regions in sleep regulation. These findings underscore the importance of considering subcortical morphology in sleep research and highlight potential neuromodulatory targets for sleep-related interventions.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144044639","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":"Parvalbumin-expressing neurons in the ventral medulla are active during wakefulness and promote NREM sleep.","authors":"Colin M Cleary, George M P R Souza, Stephen B G Abbott, Daniel K Mulkey","doi":"10.1093/sleep/zsaf118","DOIUrl":"https://doi.org/10.1093/sleep/zsaf118","url":null,"abstract":"<p><p>A longstanding hypothesis contends that sleep is promoted by sleep-active inhibitory neurons that suppress arousal centers. Sleep may also be facilitated by mechanisms active during wakefulness; however, evidence for wake active sleep promoting neurons is scarce. Here, we use chemogenetics, fiber photometry and circuit mapping to identify subset(s) of inhibitory neurons promote NREM sleep. We targeted the ventrolateral retropontine (VLRP) region of the medulla because of its proximity to REM and NREM sleep centers. We found that selective activation of parvalbumin (VLRPPvalb) neurons but not somatostatin or cholecystokinin-expressing VLRP neurons resulted in NREM-like sleep. Interestingly, VLRPPvalb neurons are most active during natural wakefulness and send inhibitory projections to the parabrachial nucleus, which presumably underlies their sleep-promoting function. These results identify VLRPPvalb neurons as potential source of wake-active inhibitory input to wake-promoting centers in the dorsolateral pons that serve to constrain arousal.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017887","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":"Objective autonomic testing in isolated REM sleep Behavior Disorder: a cornerstone for clinical practice, research and trial design.","authors":"Luca Baldelli, Federica Provini, Giovanna Calandra-Buonaura","doi":"10.1093/sleep/zsaf120","DOIUrl":"https://doi.org/10.1093/sleep/zsaf120","url":null,"abstract":"","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032350","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":"Trajectories of sleep health during the perinatal period: A systematic review and meta-analysis.","authors":"Man Wang, Jialu Qian, Youngmin Cho, Zhiting Guo, Xiaoyan Yu, Junxin Li","doi":"10.1093/sleep/zsaf095","DOIUrl":"https://doi.org/10.1093/sleep/zsaf095","url":null,"abstract":"<p><strong>Study objectives: </strong>This review aims to summarize trajectories of sleep quality, duration, efficiency, timing and insomnia symptoms from pregnancy to one year postpartum, with a specific focus on identifying the number, proportion, shape, associated factors and outcomes of these trajectories.</p><p><strong>Methods: </strong>We conducted a systematic search across eight databases from inception to August 13, 2024. Longitudinal studies who recruited 100 or more pregnant or postpartum women with at least three sleep assessments during pregnancy and one year postpartum, and modeled independent sleep health trajectories using trajectory analysis methods were included. Meta-analyses were performed to assess the pooled prevalence of nonoptimal sleep health trajectories. The prevalence was compared across geographical regions by subgroup meta-analysis. Group-based trajectory model (GBTM) was used to reidentify clusters of sleep health trajectories if available.</p><p><strong>Results: </strong>Five studies modeled a single trajectory, and the other 12 studies identified two to four distinct trajectories. The pooled prevalence of nonoptimal sleep quality and duration trajectories was 36% and 22%, respectively. The mean prevalence of the nonoptimal sleep efficiency trajectory was 15%, while the prevalence of delayed bedtime, late wake-up time, and clinical insomnia trajectories was reported as 51%, 17%, and 13%, respectively. Nonoptimal sleep trajectories were associated with higher risks of adverse maternal and infant outcomes. Low socioeconomic status, high pre-pregnancy body mass index, poor baseline sleep quality and self-reported health, and high initial levels of fatigue, anxiety and depressive symptoms were key factors associated with these trajectories. Additionally, GBTM identified three trajectory groups of perinatal sleep quality: consistently good (38.9%), increasingly poor (37.6%) and decreasingly poor (23.5%).</p><p><strong>Conclusions: </strong>Perinatal sleep health trajectories demonstrate significant heterogeneity, with a notable proportion of women following high-risk trajectories. Further research should focus on identifying key risk factors for sleep health trajectories early in the perinatal period, and developing targeted public health strategies and interventions to address these factors.</p>","PeriodicalId":22018,"journal":{"name":"Sleep","volume":" ","pages":""},"PeriodicalIF":5.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144010972","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}