Hannah Scott, Nicole Lovato, Maria Comas, Delwyn Bartlett, Ronald R. Grunstein, Leon Lack, Christopher J. Gordon
Circadian rhythmicity plays a crucial role in regulating sleep timing and continuity, but it may be altered in people with insomnia. This study tested whether dim-light melatonin onset (DLMO) timing is associated with sleep difficulties in insomnia. In total, 128 people diagnosed with insomnia disorder were recruited. Participants completed daily sleep diaries and wore an actigraph for up to 14 days before the laboratory visit to estimate mean sleep continuity (e.g., sleep latency, sleep duration) and sleep timing (sleep onset time and wake time from diaries, bedtime from diaries and actigraphy). After a sleep study, participants underwent salivary melatonin collection to estimate DLMO on the following night. Regressions and analyses of variances on tertile groups tested associations between DLMO (clock times and phase angle differences between DLMO and sleep timing) and sleep continuity and timing. There were associations between DLMO and sleep timing, r(s) = 0.27–0.37, but not with sleep continuity. The phase angle between sleep onset time and DLMO was associated with sleep latency, sleep duration, and sleep efficiency, r(s) = −0.32 to 0.41. Participants with a longer phase angle between DLMO and sleep onset time (> 3 h; i.e., greater delays) had longer sleep latencies (Mean diff = 43.21 min, SE = 12.99, p = 0.004) and shorter sleep durations (Mean diff = −65.66 min, SE = 20.75, p = 0.006) than participants with a shorter phase angle (< 2 h). Other phase angles (DLMO and mid-sleep, wake time) were not consistently associated with sleep continuity. Melatonin onset timing is associated with sleep timing in insomnia disorder. Larger phase angle differences between sleep onset and DLMO are linked to poorer sleep continuity. These findings highlight the importance of considering circadian alignment and its impact on sleep in understanding the pathophysiology of insomnia and in developing targeted treatment interventions.
昼夜节律在调节睡眠时间和连续性方面起着至关重要的作用,但在失眠症患者身上可能会发生改变。这项研究测试了暗光褪黑激素(DLMO)发作时间是否与失眠患者的睡眠困难有关。总共招募了128名被诊断患有失眠症的人。参与者完成每日睡眠日记,并在实验室访问前佩戴活动记录仪长达14天,以估计平均睡眠连续性(例如,睡眠潜伏期,睡眠持续时间)和睡眠时间(从日记中获取睡眠开始时间和醒来时间,从日记和活动记录仪获取就寝时间)。在睡眠研究之后,参与者进行了唾液褪黑素收集,以估计第二天晚上的DLMO。各组的回归和方差分析测试了DLMO (DLMO与睡眠时间之间的时钟时间和相位角差异)与睡眠连续性和时间之间的关联。DLMO与睡眠时间相关,r(s) = 0.27-0.37,但与睡眠连续性无关。睡眠开始时间和DLMO之间的相位角与睡眠潜伏期、睡眠持续时间和睡眠效率相关,r(s) = - 0.32 ~ 0.41。DLMO与睡眠开始时间之间相位角较长的参与者(>; 3小时;即,更大的延迟)的睡眠潜伏期较长(Mean diff = 43.21 min, SE = 12.99, p = 0.004),睡眠持续时间较短(Mean diff = - 65.66 min, SE = 20.75, p = 0.006),而相位角较短的参与者(< 2 h)。其他相位角(DLMO和睡眠中期、清醒时间)与睡眠连续性并不一致。褪黑素的起效时间与失眠患者的睡眠时间有关。睡眠开始和DLMO之间的相位角差异较大与较差的睡眠连续性有关。这些发现强调了考虑昼夜节律一致性及其对睡眠的影响对于理解失眠的病理生理和开发有针对性的治疗干预措施的重要性。
{"title":"Circadian Rhythm Timing and Associations With Sleep Symptoms in People With Insomnia","authors":"Hannah Scott, Nicole Lovato, Maria Comas, Delwyn Bartlett, Ronald R. Grunstein, Leon Lack, Christopher J. Gordon","doi":"10.1111/jpi.70069","DOIUrl":"https://doi.org/10.1111/jpi.70069","url":null,"abstract":"<p>Circadian rhythmicity plays a crucial role in regulating sleep timing and continuity, but it may be altered in people with insomnia. This study tested whether dim-light melatonin onset (DLMO) timing is associated with sleep difficulties in insomnia. In total, 128 people diagnosed with insomnia disorder were recruited. Participants completed daily sleep diaries and wore an actigraph for up to 14 days before the laboratory visit to estimate mean sleep continuity (e.g., sleep latency, sleep duration) and sleep timing (sleep onset time and wake time from diaries, bedtime from diaries and actigraphy). After a sleep study, participants underwent salivary melatonin collection to estimate DLMO on the following night. Regressions and analyses of variances on tertile groups tested associations between DLMO (clock times and phase angle differences between DLMO and sleep timing) and sleep continuity and timing. There were associations between DLMO and sleep timing, <i>r</i><sub><i>(s)</i></sub> = 0.27–0.37, but not with sleep continuity. The phase angle between sleep onset time and DLMO was associated with sleep latency, sleep duration, and sleep efficiency, <i>r</i><sub><i>(s)</i></sub> = −0.32 to 0.41. Participants with a longer phase angle between DLMO and sleep onset time (> 3 h; i.e., greater delays) had longer sleep latencies (<i>Mean diff</i> = 43.21 min, <i>SE</i> = 12.99, <i>p</i> = 0.004) and shorter sleep durations (<i>Mean diff</i> = −65.66 min, <i>SE</i> = 20.75, <i>p</i> = 0.006) than participants with a shorter phase angle (< 2 h). Other phase angles (DLMO and mid-sleep, wake time) were not consistently associated with sleep continuity. Melatonin onset timing is associated with sleep timing in insomnia disorder. Larger phase angle differences between sleep onset and DLMO are linked to poorer sleep continuity. These findings highlight the importance of considering circadian alignment and its impact on sleep in understanding the pathophysiology of insomnia and in developing targeted treatment interventions.</p>","PeriodicalId":198,"journal":{"name":"Journal of Pineal Research","volume":"77 5","pages":""},"PeriodicalIF":6.3,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpi.70069","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144773802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna Migni, Desirée Bartolini, Giada Marcantonini, Roccaldo Sardella, Mario Rende, Alessia Tognoloni, Maria Rachele Ceccarini, Francesco Galli
In response to Yoshiyasu Takefuji's critique regarding the use of Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) in the study “Melatonin Repairs the Lipidome of Human Hepatocytes Exposed to Cd and Free Fatty Acid-Induced Lipotoxicity,” we provide a methodological clarification. PCA and PLS-DA are well-established, widely validated tools for exploratory analysis of high-dimensional omics data, including lipidomics data. Although these methods are linear, they are appropriate for capturing systematic and directional variations in complex biological systems, particularly in controlled in vitro models like ours. Our analytical approach integrates PCA and PLS-DA with rigorous statistical testing, data transformations, and biological validation, ensuring robustness and biological relevance of the findings. We reaffirm that these methods represent a standard, reliable practice in lipidomics, and the potential of nonlinear techniques does not diminish the appropriateness or utility of linear multivariate models when applied with scientific rigor.
{"title":"Multivariate Data Analysis Methods and Their Application in Lipidomics: A Gentle Comment on Appropriateness and Reliability Criteria","authors":"Anna Migni, Desirée Bartolini, Giada Marcantonini, Roccaldo Sardella, Mario Rende, Alessia Tognoloni, Maria Rachele Ceccarini, Francesco Galli","doi":"10.1111/jpi.70068","DOIUrl":"https://doi.org/10.1111/jpi.70068","url":null,"abstract":"<p>In response to Yoshiyasu Takefuji's critique regarding the use of Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA) in the study “Melatonin Repairs the Lipidome of Human Hepatocytes Exposed to Cd and Free Fatty Acid-Induced Lipotoxicity,” we provide a methodological clarification. PCA and PLS-DA are well-established, widely validated tools for exploratory analysis of high-dimensional omics data, including lipidomics data. Although these methods are linear, they are appropriate for capturing systematic and directional variations in complex biological systems, particularly in controlled in vitro models like ours. Our analytical approach integrates PCA and PLS-DA with rigorous statistical testing, data transformations, and biological validation, ensuring robustness and biological relevance of the findings. We reaffirm that these methods represent a standard, reliable practice in lipidomics, and the potential of nonlinear techniques does not diminish the appropriateness or utility of linear multivariate models when applied with scientific rigor.</p>","PeriodicalId":198,"journal":{"name":"Journal of Pineal Research","volume":"77 4","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpi.70068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiahe Wei, Hanzhang Wu, Ying Zheng, Bingtao Weng, Yao Xiao, Christian Benedict, Ningjian Wang, Xiang-Hang Luo, Xiao Tan
Rest-activity rhythm and sleep may serve as potential intervention targets for a variety of diseases. However, the underlying biological mechanisms of rest-activity rhythm, sleep, and their proteomic associations with multiple diseases remain largely unexplored. Here, using data from approximately 10 000 participants in the UK Biobank with accelerometer-derived measures and proteomics profiles, we characterized the proteomic signatures of rest-activity and sleep and explored their associations with health outcomes. We found that the proteins associated with rest-activity and sleep were mainly enriched in inflammation, immune response and complement system. Most rest-activity and sleep measures, along with their associated proteomic signatures, were significantly associated with incident diabetes, cardiovascular disease, chronic kidney disease, respiratory diseases, and extended life expectancy. Several proteins, such as ADM and CA14, were observed to mediate multiple associations across distinct rest-activity and sleep measures. The impact of rest-activity and sleep measures on chronic diseases and mortality may be mediated through diverse biological pathways involving multiple proteins. These findings reveal potential mechanisms underlying these complex relationships and provide novel insights for the development of targeted intervention strategies.
{"title":"Proteomic Signatures Underlying Sleep, Circadian Activity Patterns, and Major Chronic Diseases","authors":"Jiahe Wei, Hanzhang Wu, Ying Zheng, Bingtao Weng, Yao Xiao, Christian Benedict, Ningjian Wang, Xiang-Hang Luo, Xiao Tan","doi":"10.1111/jpi.70067","DOIUrl":"https://doi.org/10.1111/jpi.70067","url":null,"abstract":"<p>Rest-activity rhythm and sleep may serve as potential intervention targets for a variety of diseases. However, the underlying biological mechanisms of rest-activity rhythm, sleep, and their proteomic associations with multiple diseases remain largely unexplored. Here, using data from approximately 10 000 participants in the UK Biobank with accelerometer-derived measures and proteomics profiles, we characterized the proteomic signatures of rest-activity and sleep and explored their associations with health outcomes. We found that the proteins associated with rest-activity and sleep were mainly enriched in inflammation, immune response and complement system. Most rest-activity and sleep measures, along with their associated proteomic signatures, were significantly associated with incident diabetes, cardiovascular disease, chronic kidney disease, respiratory diseases, and extended life expectancy. Several proteins, such as ADM and CA14, were observed to mediate multiple associations across distinct rest-activity and sleep measures. The impact of rest-activity and sleep measures on chronic diseases and mortality may be mediated through diverse biological pathways involving multiple proteins. These findings reveal potential mechanisms underlying these complex relationships and provide novel insights for the development of targeted intervention strategies.</p>","PeriodicalId":198,"journal":{"name":"Journal of Pineal Research","volume":"77 4","pages":""},"PeriodicalIF":8.3,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jpi.70067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}