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Liu S, Chen J, Guan L, Xu L, Cai H, Wang J, Zhu DM, Zhu J, Yu Y. The brain, rapid eye movement sleep, and major depressive disorder: A multimodal neuroimaging study. Prog Neuropsychopharmacol Biol Psychiatry 2024; 136:111151. [PMID: 39326695 DOI: 10.1016/j.pnpbp.2024.111151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 09/10/2024] [Accepted: 09/22/2024] [Indexed: 09/28/2024]
Abstract
BACKGROUND Evidence has established the prominent involvement of rapid eye movement (REM) sleep disturbance in major depressive disorder (MDD). However, the neural correlates of REM sleep in MDD and their clinical significance are less clear. METHODS Cross-sectional and longitudinal polysomnography and resting-state functional MRI data were collected from 131 MDD patients and 71 healthy controls to measure REM sleep and voxel-mirrored homotopic connectivity (VMHC). Correlation and mediation analyses were performed to examine the associations between REM sleep, VMHC, and clinical variables. Moreover, we conducted spatial correlations between the neural correlates of REM sleep and a multimodal collection of reference brain maps to facilitate genetic, structural and functional annotations. RESULTS MDD patients exhibited REM sleep abnormalities manifesting as higher REM sleep latency and lower REM sleep duration, which were correlated with decreased VMHC of the precentral gyrus and inferior parietal lobe and mediated their associations with more severe anxiety symptoms. Longitudinal data showed that VMHC increase of the inferior parietal lobe was related to improvement of depression symptoms in MDD patients. Spatial correlation analyses revealed that the neural correlates of REM sleep in MDD were linked to gene categories primarily involving cellular metabolic process, signal pathway, and ion channel activity as well as linked to cortical microstructure, metabolism, electrophysiology, and cannabinoid receptor. CONCLUSION These findings may add important context to the growing literature on the complex interplay between sleep and MDD, and more broadly may inform future treatment for depression via regulating sleep.
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Affiliation(s)
- Siyu Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 230032, China
| | - Jingyao Chen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 230032, China
| | - Lianzi Guan
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Li Xu
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 230032, China
| | - Jie Wang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 230032, China
| | - Dao-Min Zhu
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230032, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China.
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 230032, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei 230032, China.
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Wang M, Wang H, Feng Z, Wu S, Li B, Han F, Xiao F. Predicting Depression Among Chinese Patients with Narcolepsy Type 1: A Machine-Learning Approach. Nat Sci Sleep 2024; 16:1419-1429. [PMID: 39318394 PMCID: PMC11420898 DOI: 10.2147/nss.s468748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 09/10/2024] [Indexed: 09/26/2024] Open
Abstract
Objective Depression is a common psychiatric issue among patients with narcolepsy type 1 (NT1). Effective management requires accurate screening and prediction of depression in NT1 patients. This study aims to identify relevant factors for predicting depression in Chinese NT1 patients using machine learning (ML) approaches. Methods A total of 203 drug-free NT1 patients (aged 5-61), diagnosed based on the ICSD-3 criteria, were consecutively recruited from the Sleep Medicine Center at Peking University People's Hospital between September 2019 and April 2023. Depression, daytime sleepiness, and impulsivity were assessed using the Center for Epidemiologic Studies Depression Scale for Children (CES-DC) or the Self-Rating Depression Scale (SDS), the Epworth Sleepiness Scale for adult or children and adolescents (ESS or ESS-CHAD), and the Barratt Impulse Scale (BIS-11). Demographic characteristics and objective sleep parameters were also analyzed. Three ML models-Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM)-were used to predict depression. Model performance was evaluated using receiver operating curve (AUC), accuracy, precision, recall, F1 score, and decision curve analysis (DCA). Results The LR model identified hallucinations (OR 2.21, 95% CI 1.01-4.90, p = 0.048) and motor impulsivity (OR 1.10, 95% CI 1.02-1.18, p = 0.015) as predictors of depression. Among the ML models, SVM showed the best performance with an AUC of 0.653, accuracy of 0.659, sensitivity of 0.727, and F1 score of 0.696, reflecting its effectiveness in integrating sleep-related and psychosocial factors. Conclusion This study highlights the potential of ML models for predicting depression in NT1 patients. The SVM model shows promise in identifying patients at high risk of depression, offering a foundation for developing a data-driven, personalized decision-making tool. Further research should validate these findings in diverse populations and include additional psychological variables to enhance model accuracy.
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Affiliation(s)
- Mengmeng Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
| | - Huanhuan Wang
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
- School of Nursing, Peking University, Beijing, People's Republic of China
| | - Zhaoyan Feng
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
| | - Shuai Wu
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
| | - Bei Li
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
- School of Nursing, Peking University, Beijing, People's Republic of China
| | - Fang Han
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
| | - Fulong Xiao
- Division of Sleep Medicine, Peking University People's Hospital, Beijing, People's Republic of China
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Xu YH, Wu F, Yu S, Guo YN, Zhao RR, Zhang RL. Therapeutic sleep deprivation for major depressive disorder: A randomized controlled trial. J Affect Disord 2024; 361:10-16. [PMID: 38844163 DOI: 10.1016/j.jad.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 04/01/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is treated primarily using antidepressant drugs, but clinical effects may be delayed for weeks to months. This study investigated the efficacy of brief therapeutic sleep deprivation (TSD) for inducing rapid improvements in MDD symptoms. METHODS From November 2020 to February 2023, 54 inpatients with MDD were randomly allocated to TSD and Control groups. The TSD group (23 cases) remained awake for 36 h, while the Control group (31 cases) maintained regular sleep patterns. All participants continued regular drug therapy. Mood was assessed using the 24-item Hamilton Depression Scale (HAMD-24) at baseline and post-intervention in both groups. In the TSD group, the Visual Analogue Scale (VAS) was utilized to evaluate subjective mood during and after the intervention. Cognitive function was assessed at baseline and post-intervention using the Montreal Cognitive Assessment (MoCA). Objective sleep parameters were recorded in the TSD group by polysomnography. The follow-up period spanned one week. RESULTS HAMD-24 scores did not differ between groups at baseline or post-intervention. However, the clinical response rate was 34.8 % higher in the TSD group on day 3 post-intervention compared to the Control group (3.2 %), but not sustained by day 7. Moreover, responders demonstrated a faster improvement in the VAS score during TSD than non-responders (p = 0.047). There were no significant differences in MoCA scores or objective sleep parameters between the groups. LIMITATIONS Small sample size and notable attrition rate. CONCLUSIONS Therapeutic sleep deprivation can rapidly improve MDD symptoms without influencing sleep parameters or cognitive functions. Assessment of longer-term effects and identification of factors predictive of TSD response are warranted.
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Affiliation(s)
- Ya-Hui Xu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China.
| | - Fang Wu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Shuai Yu
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Ya-Nan Guo
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
| | - Rong-Rong Zhao
- Psychiatry Department, First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Rui-Ling Zhang
- Department of Sleep Medicine, Second Affiliated Hospital of Xinxiang Medical University; Henan Collaborative Innovation Center for Prevention and Treatment of Mental Disorders; Brain Institute, Henan Academy of Innovations in Medical Science, Xinxiang, China
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Chen ZK, Liu YY, Zhou JC, Chen GH, Liu CF, Qu WM, Huang ZL. Insomnia-related rodent models in drug discovery. Acta Pharmacol Sin 2024; 45:1777-1792. [PMID: 38671193 PMCID: PMC11335876 DOI: 10.1038/s41401-024-01269-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 03/24/2024] [Indexed: 04/28/2024] Open
Abstract
Despite the widespread prevalence and important medical impact of insomnia, effective agents with few side effects are lacking in clinics. This is most likely due to relatively poor understanding of the etiology and pathophysiology of insomnia, and the lack of appropriate animal models for screening new compounds. As the main homeostatic, circadian, and neurochemical modulations of sleep remain essentially similar between humans and rodents, rodent models are often used to elucidate the mechanisms of insomnia and to develop novel therapeutic targets. In this article, we focus on several rodent models of insomnia induced by stress, diseases, drugs, disruption of the circadian clock, and other means such as genetic manipulation of specific neuronal activity, respectively, which could be used to screen for novel hypnotics. Moreover, important advantages and constraints of some animal models are discussed. Finally, this review highlights that the rodent models of insomnia may play a crucial role in novel drug development to optimize the management of insomnia.
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Affiliation(s)
- Ze-Ka Chen
- Department of Pharmacology, School of Basic Medical Sciences; State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science; Joint International Research Laboratory of Sleep; and Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Yuan-Yuan Liu
- Department of Pharmacology, School of Basic Medical Sciences; State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science; Joint International Research Laboratory of Sleep; and Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Ji-Chuan Zhou
- Department of Pharmacology, School of Basic Medical Sciences; State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science; Joint International Research Laboratory of Sleep; and Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Gui-Hai Chen
- Department of Neurology (Sleep Disorders), the Affiliated Chaohu Hospital of Anhui Medical University, Hefei, 238000, China
| | - Chun-Feng Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, China.
| | - Wei-Min Qu
- Department of Pharmacology, School of Basic Medical Sciences; State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science; Joint International Research Laboratory of Sleep; and Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
| | - Zhi-Li Huang
- Department of Pharmacology, School of Basic Medical Sciences; State Key Laboratory of Medical Neurobiology, Institutes of Brain Science and Collaborative Innovation Center for Brain Science; Joint International Research Laboratory of Sleep; and Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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Schmidt BE, Lopes-de-Souza LH, Gutierres A, Simon TT. Sleep, Sleepiness, and Memory. Sleep Sci 2024; 17:e255-e262. [PMID: 39268340 PMCID: PMC11390175 DOI: 10.1055/s-0044-1780500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 09/27/2023] [Indexed: 09/15/2024] Open
Abstract
Objective To evaluate the relationship between sleep and sleepiness with memory complaints. Materials and Methods Patients who were submitted to polysomnography between May and September of 2022 and answered the prospective and retrospective memory questionnaire and the Epworth sleepiness scale were included, respectively. Data were entered into an Excel spreadsheet and converted to a file compatible with the SPSS software. Results The sample consisted of 98 subjects, 62.2% male, mean age of 45.9 years, 73.4% overweight, 54.1% with comorbidities, and 51% with excessive sleepiness. There was a significant difference in sleep efficiency, respiratory disturbance index (RDI), slow wave sleep (SWS), and rapid eye movement (REM) sleep for the group with comorbidities; in latency to sleep and SWS between genders; and in RDI for the body mass index group. No correlation between RDI and memory could be identified, but there were statistically significant correlations between REM and sleep efficiency; RDI and REM sleep; RDI and SWS; SWS and sleep efficiency; and sleep efficiency and latency to sleep onset. Older adults performed better on memory tests when total sleep time (TST) is longer than 5 hours and excessive daytime sleepiness is related to complaints of prospective, retrospective, and total memory. Conclusion Elderly people with TST longer than 5 hours have a better memory. Although a correlation between RDI and memory was not observed, a correlation between excessive daytime sleepiness-one of the main symptoms of patients with sleep disorders-and memory was.
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Liu Y, Yin J, Li X, Yang J, Liu Y. Examining the connection between weekend catch-up sleep and depression: Insights from 2017 to 2020 NHANES information. J Affect Disord 2024; 358:61-69. [PMID: 38705524 DOI: 10.1016/j.jad.2024.05.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 04/07/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Depression, a prevalent mental disorder, has shown an increasing trend in recent years, imposing a significant burden on health and society. Adequate sleep has been proven to reduce the incidence of depression. This study seeks to explore how Weekend Catch-up Sleep (WCS) is connected with the prevalence of depression in the American population. METHODS The National Health and Nutrition Examination Survey (NHANES) provides representative data for the U.S. POPULATION We utilized data from the 2017-2018 and 2019-2020 cycles. Depression was operationally defined as a PHQ-9 score exceeding 10. WCS duration was categorized into five groups: no change in sleep duration (=0 h), decreased sleep duration (<0), short catch-up sleep duration (>0 h, ≤1 h), moderate catch-up sleep duration (>1 h, <2 h), and long catch-up sleep duration (≥2 h). RESULTS Among the 8039 individuals, the distribution of WCS duration was as follows: no change (WCS = 0 h) in 2999 individuals (37.3 %), decreased sleep (WCS < 0 h) in 1199 individuals (14.9 %), short catch-up sleep (0 h < WCS ≤ 1 h) in 1602 individuals (19.9 %), moderate catch-up sleep (1 h < WCS < 2 h) in 479 individuals (6.0 %), and long catch-up sleep (WCS ≥ 2 h) in 1760 individuals (21.9 %). Acting by adjustment for all covariates in a multiple regression analysis, we discovered that persons with 1 to 2 h of weekend catch-up sleep had a substantially low prevalence of depression concerning those with WCS = 0 (OR 0.22, 95 % CI 0.08-0.59, P = 0.007). CONCLUSION The prevalence of depression in individuals engaging in weekend catch-up sleep for 1 to 2 h is lower than those who do not catch up on weekends. This discovery on the treatment and prevention of depression provides a new perspective. However, further prospective research and clinical trials are needed for a comprehensive investigation.
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Affiliation(s)
- Yecun Liu
- College of First Clinical Medical, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiahui Yin
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xuhao Li
- College of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiguo Yang
- College of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
| | - Yuanxiang Liu
- Department of Neurology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, China.
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Zhao Y, Liu F, Lin P, Tu Z, Wu B. Sleep quality and mental health among Chinese nurses after the COVID-19 pandemic: A moderated model. PLoS One 2024; 19:e0295105. [PMID: 38820459 PMCID: PMC11142611 DOI: 10.1371/journal.pone.0295105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 05/15/2024] [Indexed: 06/02/2024] Open
Abstract
INTRODUCTION AND AIMS In the specialized nursing setting, nurses are susceptible to developing negative mental health issues. Such conditions among nurses can potentially result in unfavorable medical outcomes. Consequently, this study aims to explore the role of social support in regulating between sleep and mental health in nurses. METHODS A cross-sectional study was carried out in September 2022 on 1219 nurses in Quanzhou. The study comprised general demographic information and utilized various questionnaires, namely the Social Support Rate Scale (SSRS), Pittsburgh Sleep Quality Index Questionnaire (PSQI), Generalized Anxiety Disorder Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). The data analysis was performed using t-tests, ANOVAs, Pearsons correlations and hierarchical regression analyses in SPSS software. RESULTS Results show that significant associations of sleep quality and social support with anxiety and depression. Simple slope analysis shows that under low levels of social support, sleep quality has a positive impact on anxiety(β = 0.598) and depression(β = 0.851), and the impact is significant. Under high levels of social support, sleep quality also has a positive impact on anxiety(β = 0.462) and depression(β = 0.578), but the impact is smaller. This indicates that as the level of social support increases, the positive predictive effect of sleep quality on anxiety and depression gradually diminishes. CONCLUSIONS Social support has the potential to alter the impact of sleep quality on anxiety and depression. Therefore, healthcare policymakers need to focus on enhancing the level of social support and mitigating the impact of poor sleep on anxiety and depression.
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Affiliation(s)
- Yanyan Zhao
- Department of Nursing, Quanzhou First Hospital, Quanzhou, China
| | - Fuzhi Liu
- Department of Preventive Medicine, School of Health, Quanzhou Medical College, Quanzhou, China
| | - Pingzhen Lin
- Department of Nursing, Quanzhou First Hospital, Quanzhou, China
| | - Zhuote Tu
- Department of Preventive Medicine, School of Health, Quanzhou Medical College, Quanzhou, China
| | - Biyu Wu
- Department of Nursing, Quanzhou First Hospital, Quanzhou, China
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Gu SC, Yuan XL, Yin P, Li YY, Wang CD, Gu MJ, Xu LM, Gao C, Wu Y, Hu YQ, Yuan CX, Cao Y, Ye Q. Association of body mass index with rapid eye movement sleep behavior disorder in Parkinson's disease. Front Neurol 2024; 15:1388131. [PMID: 38846031 PMCID: PMC11155480 DOI: 10.3389/fneur.2024.1388131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 04/30/2024] [Indexed: 06/09/2024] Open
Abstract
Background The association between body mass index (BMI) and rapid eye-movement (REM) sleep-related behavioral disorder (RBD) in Parkinson's disease (PD) remains unknown. Our study was to investigate the association of BMI with RBD in PD patients. Methods In this cross-sectional study, a total of 1,115 PD participants were enrolled from Parkinson's Progression Markers Initiative (PPMI) database. BMI was calculated as weight divided by height squared. RBD was defined as the RBD questionnaire (RBDSQ) score with the cutoff of 5 or more assessed. Univariable and multivariable logistic regression models were performed to examine the associations between BMI and the prevalence of RBD. Non-linear correlations were explored with use of restricted cubic spline (RCS) analysis. And the inflection point was determined by the two-line piecewise linear models. Results We identified 426 (38.2%) RBD. The proportion of underweight, normal, overweight and obese was 2.61, 36.59, 40.36, and 20.44%, respectively. In the multivariate logistic regression model with full adjustment for confounding variables, obese individuals had an odds ratio of 1.77 (95% confidence interval: 1.21 to 2.59) with RBD compared with those of normal weight. In the RCS models with three knots, BMI showed a non-linear association with RBD. The turning points of BMI estimated from piecewise linear models were of 28.16 kg/m2, 28.10 kg/m2, and 28.23 kg/m2 derived from univariable and multivariable adjusted logistic regression models. The effect modification by depression on the association between BMI and RBD in PD was also found in this study. Furthermore, the sensitivity analyses linked with cognition, education, and ethnic groups indicated the robustness of our results. Conclusion The current study found a significant dose-response association between BMI and RBD with a depression-based difference in the impact of BMI on RBD in PD patients.
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Affiliation(s)
- Si-Chun Gu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xiao-Lei Yuan
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ping Yin
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuan-Yuan Li
- Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chang-De Wang
- Shanghai TCM-integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Min-Jue Gu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li-Min Xu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chen Gao
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - You Wu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yu-Qing Hu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Can-Xing Yuan
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yang Cao
- Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Qing Ye
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Zhang MD, He RQ, Luo JY, Huang WY, Wei JY, Dai J, Huang H, Yang Z, Kong JL, Chen G. Explosion of research on psychopathology and social media use after COVID-19: A scientometric study. World J Psychiatry 2024; 14:742-759. [PMID: 38808081 PMCID: PMC11129144 DOI: 10.5498/wjp.v14.i5.742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/02/2024] [Accepted: 04/03/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Despite advances in research on psychopathology and social media use, no comprehensive review has examined published papers on this type of research and considered how it was affected by the coronavirus disease 2019 (COVID-19) outbreak. AIM To explore the status of research on psychopathology and social media use before and after the COVID-19 outbreak. METHODS We used Bibliometrix (an R software package) to conduct a scientometric analysis of 4588 relevant studies drawn from the Web of Science Core Collection, PubMed, and Scopus databases. RESULTS Such research output was scarce before COVID-19, but exploded after the pandemic with the publication of a number of high-impact articles. Key authors and institutions, located primarily in developed countries, maintained their core positions, largely uninfluenced by COVID-19; however, research production and collaboration in developing countries increased significantly after COVID-19. Through the analysis of keywords, we identified commonly used methods in this field, together with specific populations, psychopathological conditions, and clinical treatments. Researchers have devoted increasing attention to gender differences in psychopathological states and linked COVID-19 strongly to depression, with depression detection becoming a new trend. Developments in research on psychopathology and social media use are unbalanced and uncoordinated across countries/regions, and more in-depth clinical studies should be conducted in the future. CONCLUSION After COVID-19, there was an increased level of concern about mental health issues and a changing emphasis on social media use and the impact of public health emergencies.
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Affiliation(s)
- Meng-Di Zhang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Rong-Quan He
- Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Jia-Yuan Luo
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Wan-Ying Huang
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Jing-Yu Wei
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Jian Dai
- Department of Clinical Psychology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Hong Huang
- Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Zhen Yang
- Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Jin-Liang Kong
- Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
| | - Gang Chen
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi Zhuang Autonomous Region, China
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Feng H, Qiao QC, Luo QF, Zhou JY, Lei F, Chen Y, Wen SY, Chen WH, Pang YJ, Hu ZA, Jiang YB, Zhang XY, Zhou TY, Zhang XY, Yang N, Zhang J, Hu R. Orexin Neurons to Sublaterodorsal Tegmental Nucleus Pathway Prevents Sleep Onset REM Sleep-Like Behavior by Relieving the REM Sleep Pressure. RESEARCH (WASHINGTON, D.C.) 2024; 7:0355. [PMID: 38694202 PMCID: PMC11062508 DOI: 10.34133/research.0355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Accepted: 03/25/2024] [Indexed: 05/04/2024]
Abstract
Proper timing of vigilance states serves fundamental brain functions. Although disturbance of sleep onset rapid eye movement (SOREM) sleep is frequently reported after orexin deficiency, their causal relationship still remains elusive. Here, we further study a specific subgroup of orexin neurons with convergent projection to the REM sleep promoting sublaterodorsal tegmental nucleus (OXSLD neurons). Intriguingly, although OXSLD and other projection-labeled orexin neurons exhibit similar activity dynamics during REM sleep, only the activation level of OXSLD neurons exhibits a significant positive correlation with the post-inter-REM sleep interval duration, revealing an essential role for the orexin-sublaterodorsal tegmental nucleus (SLD) neural pathway in relieving REM sleep pressure. Monosynaptic tracing reveals that multiple inputs may help shape this REM sleep-related dynamics of OXSLD neurons. Genetic ablation further shows that the homeostatic architecture of sleep/wakefulness cycles, especially avoidance of SOREM sleep-like transition, is dependent on this activity. A positive correlation between the SOREM sleep occurrence probability and depression states of narcoleptic patients further demonstrates the possible significance of the orexin-SLD pathway on REM sleep homeostasis.
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Affiliation(s)
- Hui Feng
- Department of Neurobiology,
Army Medical University, 400038 Chongqing, P.R. China
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Qi-Cheng Qiao
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Qi-Fa Luo
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Jun-Ying Zhou
- Sleep Medicine Center, West China Hospital,
Sichuan University, 610000 Chengdu, Sichuan, P.R. China
| | - Fei Lei
- Sleep Medicine Center, West China Hospital,
Sichuan University, 610000 Chengdu, Sichuan, P.R. China
| | - Yao Chen
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Si-Yi Wen
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Wen-Hao Chen
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Yu-Jie Pang
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Zhi-An Hu
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Yi-Bin Jiang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Xu-Yang Zhang
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Teng-Yuan Zhou
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
| | - Xin-Yan Zhang
- Sleep Medicine Center, West China Hospital,
Sichuan University, 610000 Chengdu, Sichuan, P.R. China
| | - Nian Yang
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Jun Zhang
- Department of Neurobiology,
Army Medical University, 400038 Chongqing, P.R. China
- Department of Physiology,
Army Medical University, 400038 Chongqing, P.R. China
| | - Rong Hu
- Department of Neurosurgery and Key Laboratory of Neurotrauma, Southwest Hospital,
Army Medical University, 400038 Chongqing, P.R. China
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11
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Li L, Dai F. Comparison of the associations between Life's Essential 8 and Life's Simple 7 with depression, as well as the mediating role of oxidative stress factors and inflammation: NHANES 2005-2018. J Affect Disord 2024; 351:31-39. [PMID: 38280569 DOI: 10.1016/j.jad.2024.01.200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 01/17/2024] [Accepted: 01/21/2024] [Indexed: 01/29/2024]
Abstract
BACKGROUND Cardiovascular health (CVH) is closely associated with depression. However, Life's Essential 8 (LE8), a novel CVH measure, has not yet been clearly linked to depression. This study aims to explore the association between LE8 and depression, compare its advantages over Life's Simple 7 (LS7), and investigate the mediating effects of oxidative stress and inflammation. METHODS This study investigated cross-sectional data of adults aged 20 and above from National Health and Nutrition Examination Survey (NHANES) 2005 to 2018. The LE8 score (ranging from 0 to 100) was derived from the American Heart Association's definition, based on the unweighted average of 8 metrics, classified as low cardiovascular health (CVH) (0-49), moderate CVH (50-79), and high CVH (80-100). Similar to LE8, LS7 scores were categorized into inadequate (0-7), average (8-10), or optimal (11-14) after calculating the unweighted mean of each component. Depression was diagnosed using the Patient Health Questionnaire (PHQ-9), with a score of ≥10 defining depression. Adjusted for sociodemographic factors and other risk factors for depression, weighted logistic regression and restricted cubic spline analysis were used to explore the correlation. Receiver operating characteristic (ROC) curves were used to study the associations between CVH scores and depression. Subsequently, subgroup analysis and sensitivity analysis were conducted, followed by an exploration of the mechanisms involved. RESULTS A total of 7 cycles from 2005 to 2018 contained complete data. Weighted logistic regression showed that both LS7 and LE8 were significantly associated with depression. Specifically, for LE8, after adjustment, the risk of depression decreased by 52 % for moderate CVH compared to low CVH (OR: 0.48, 95 % CI: 0.41-0.57, P < 0.0001), while the risk decreased by 80 % for high CVH (OR: 0.20, 95 % CI: 0.15-0.26, P < 0.0001, Ptrend < 0.0001). For LS7, after adjustment, compared with inadequate CVH, the risk of depression decreased by 49 % for average CVH (OR: 0.51, 95 % CI: 0.34-0.78, P = 0.002), and by 55 % for optimal CVH (OR: 0.45, 95 % CI: 0.27-0.74, P = 0.002, Ptrend < 0.0001). Area under ROC curves for predicting depression were 0.672 (95 % CI, 0.66-0.684; P < 0.001) and 0.605 (95 % CI, 0.59-0.619; P < 0.001) for LE8 and LS7 (PDeLong < 0.001), respectively. Sensitivity analysis demonstrated the robustness of the association. GGT and WBC jointly mediated 9.62 % of this association (all P < 0.001). LIMITATIONS The cross-sectional study cannot infer causality. CONCLUSIONS The association between Life's Essential 8 and depression was stronger and more practical. Oxidative stress and inflammation mediate this association. Individuals with extremely poor cardiovascular health have a 7-fold increased risk of depression, highlighting the necessity of maintaining at least moderate cardiovascular health.
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Affiliation(s)
- Laifu Li
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China
| | - Fei Dai
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Shaanxi Province Key Laboratory of Gastrointestinal Motility Disorders, Xi'an, China.
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12
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Leseur J, Boiret C, Romier A, Bazin B, Basquin L, Stern E, Pineau G, Lejoyeux M, Geoffroy PA, Maruani J. Comparative study of sleep and circadian rhythms in patients presenting unipolar or bipolar major depressive episodes. Psychiatry Res 2024; 334:115811. [PMID: 38442480 DOI: 10.1016/j.psychres.2024.115811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 01/16/2024] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
Currently, there is a major challenge in distinguishing between unipolar and bipolar major depressive episode. A significant body of research has been dedicated to identifying biomarkers that can aid in this differentiation due to its crucial implications, particularly for therapeutic and prognostic purposes. Among the biomarkers of interest, markers related to sleep and circadian rhythms show promise and could potentially aid in making this distinction. Nevertheless, no study has simultaneously examined sleep-wake disorders, circadian rhythms, and seasonal patterns using both subjective and objective measures. This study aims to characterize and compare the sleep-wake and rhythm disorders including patients with unipolar major depressive episode (n = 72) and with bipolar major depressive episode (n = 43) using both subjective markers (using self-report questionnaires and sleep complaints) and objective markers (using actigraphy). Patients with unipolar major depressive episode seem to experience significantly poorer quality of sleep, more symptoms of insomnia and lower sleep efficiency compared to patients with bipolar major depressive episode. On the other hand, patients with bipolar major depressive episode exhibit significantly more symptoms of motor retardation and hypersomnia compared to patients with unipolar disorder. These results hold significant implications for identifying individuals with unipolar major depressive episode or bipolar major depressive episode using sleep and circadian markers, and for developing recommended and personalized therapeutic strategies.
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Affiliation(s)
- Jeanne Leseur
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France.
| | - Charlotte Boiret
- Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France
| | - Alix Romier
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France
| | - Balthazar Bazin
- Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France
| | - Louise Basquin
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France
| | - Emilie Stern
- Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France
| | - Guillaume Pineau
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France
| | - Michel Lejoyeux
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France; Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France
| | - Pierre A Geoffroy
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France; Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France; CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, Strasbourg F-67000, France
| | - Julia Maruani
- Département de Psychiatrie et D'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hopital Bichat Claude Bernard, 46 rue Henri Huchard, Paris F-75018, France; Université Paris Cité, NeuroDiderot, Inserm, FHU I2-D2, Paris F-75019, France; Centre ChronoS, GHU Paris, Psychiatry & Neurosciences, 1 rue Cabanis, Paris 75014, France.
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13
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Xiao X, Rui Y, Jin Y, Chen M. Relationship of Sleep Disorder with Neurodegenerative and Psychiatric Diseases: An Updated Review. Neurochem Res 2024; 49:568-582. [PMID: 38108952 DOI: 10.1007/s11064-023-04086-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/08/2023] [Accepted: 12/09/2023] [Indexed: 12/19/2023]
Abstract
Sleep disorders affect many people worldwide and can accompany neurodegenerative and psychiatric diseases. Sleep may be altered before the clinical manifestations of some of these diseases appear. Moreover, some sleep disorders affect the physiological organization and function of the brain by influencing gene expression, accelerating the accumulation of abnormal proteins, interfering with the clearance of abnormal proteins, or altering the levels of related hormones and neurotransmitters, which can cause or may be associated with the development of neurodegenerative and psychiatric diseases. However, the detailed mechanisms of these effects are unclear. This review mainly focuses on the relationship between and mechanisms of action of sleep in Alzheimer's disease, depression, and anxiety, as well as the relationships between sleep and Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. This summary of current research hotspots may provide researchers with better clues and ideas to develop treatment solutions for neurodegenerative and psychiatric diseases associated with sleep disorders.
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Affiliation(s)
- Xiao Xiao
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yimin Rui
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Yu Jin
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Ming Chen
- Department of Pharmacology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
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14
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Luo J, Chen Y, Tao Y, Xu Y, Yu K, Liu R, Jiang Y, Cai C, Mao Y, Li J, Yang Z, Deng T. Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource. Psychol Res Behav Manag 2024; 17:691-703. [PMID: 38410378 PMCID: PMC10896099 DOI: 10.2147/prbm.s453046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/16/2024] [Indexed: 02/28/2024] Open
Abstract
Background There is substantial evidence from previous studies that abnormalities in sleep parameters associated with depression are demonstrated in almost all stages of sleep architecture. Patients with symptoms of sleep-wake disorders have a much higher risk of developing major depressive disorders (MDD) compared to those without. Objective The aim of the present study is to establish and compare the performance of different machine learning models based on sleep-wake disorder symptoms data and to select the optimal model to interpret the importance of sleep-wake disorder symptoms to predict MDD occurrence in adolescents. Methods We derived data for this work from 2020 to 2021 Assessing Nocturnal Sleep/Wake Effects on Risk of Suicide Phase I Study from National Sleep Research Resource. Using demographic and sleep-wake disorder symptoms data as predictors and the occurrence of MDD measured base on the center for epidemiologic studies depression scale as an outcome, the following six machine learning predictive models were developed: eXtreme Gradient Boosting model (XGBoost), Light Gradient Boosting mode, AdaBoost, Gaussian Naïve Bayes, Complement Naïve Bayes, and multilayer perceptron. The models' performance was assessed using the AUC and other metrics, and the final model's predictor importance ranking was explained. Results XGBoost is the optimal predictive model in comprehensive performance with the AUC of 0.804 in the test set. All sleep-wake disorder symptoms were significantly positively correlated with the occurrence of adolescent MDD. The insomnia severity was the most important predictor compared with the other predictors in this study. Conclusion This machine learning predictive model based on sleep-wake disorder symptoms can help to raise the awareness of risk of symptoms between sleep-wake disorders and MDD in adolescents and improve primary care and prevention.
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Affiliation(s)
- Jingsong Luo
- School of Nursing, The Chengdu University of Traditional Chinese Medicine, Sichuan, 610000, People's Republic of China
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Yuxin Chen
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Yanmin Tao
- School of Nursing, The Chengdu University of Traditional Chinese Medicine, Sichuan, 610000, People's Republic of China
| | - Yaxin Xu
- School of Nursing, Tongji University, Shanghai, 200000, People's Republic of China
| | - Kexin Yu
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Ranran Liu
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Yuchen Jiang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Cichong Cai
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Yiyang Mao
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Jingyi Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Ziyi Yang
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China
| | - Tingting Deng
- School of Nursing, The Chengdu University of Traditional Chinese Medicine, Sichuan, 610000, People's Republic of China
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15
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Yang YQ, Tiliwaerde M, Gao NN, Zhang TT, Ji HX, Gu W, Jin ZL. Mechanism of GW117 antidepressant action: melatonin receptor-mediated regulation of sleep rhythm. Eur J Pharmacol 2024; 964:176299. [PMID: 38160931 DOI: 10.1016/j.ejphar.2023.176299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/10/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Alterations in circadian sleep patterns constitute a salient manifestation in major depressive disorder. GW117, an emergent antidepressant, functions as an agonist for melatonin 1 and melatonin 2 (MT1/MT2) receptors, in tandem with antagonism of the serotonin (5-HT) 2C receptor. The present investigation is dedicated to elucidating the role and underlying mechanisms by which GW117 ameliorates circadian sleep disruptions. Utilizing an adapted chronic unpredictable mild stress protocol, we induced a depressive-like phenotype and perturbed circadian rhythms in rodent models. Our methodological approach integrated quantitative polymerase chain reaction (qPCR) in real-time, enzyme-linked immunosorbent assay (ELISA), and immunoblotting techniques to probe alterations in the expression of core circadian genes and homeostatic sleep markers. The impact of GW117 was assessed across various dosages (10, 20, and 40 mg/kg) on these molecular signatures. In a parallel examination, we evaluated the influence of GW117 (administered at 15, 40, and 60 mg/kg) on the sleep patterns of healthy mice. The results showed that GW117 significantly improved sleep-wake circadian rhythms, altered sleep architecture, and shortened sleep latency. Furthermore, GW117 increased the expression of several clock genes in the hypothalamus of chronic unpredictable mild stress model rats and normal mice. It also regulated circadian biomarkers, including melatonin and cortisol. Based on our findings, we propose that the beneficial effects of GW117 on sleep rhythms may be due to the melatonin system-mediated activation of the Wnt/β-catenin signaling pathway.
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Affiliation(s)
- Ya-Qi Yang
- Department of Pharmacy, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China; Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Murezati Tiliwaerde
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China
| | - Na-Na Gao
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Captial Medical University, Beijing, 100038, China.
| | - Ting-Ting Zhang
- Department of Neurology, Xuanwu Hospital, Captial Medical University, Beijing, 100053, China
| | - Hong-Xian Ji
- Beijing Guangwei Pharmaceutical Technology Co., Ltd, Beijing, 100044, China
| | - Wei Gu
- Beijing Guangwei Pharmaceutical Technology Co., Ltd, Beijing, 100044, China
| | - Zeng-Liang Jin
- Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, 100069, China.
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16
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Zhang C, Zhu DM, Zhang Y, Chen T, Liu S, Chen J, Cai H, Zhu J, Yu Y. Neural substrates underlying REM sleep duration in patients with major depressive disorder: A longitudinal study combining multimodal MRI data. J Affect Disord 2024; 344:546-553. [PMID: 37848093 DOI: 10.1016/j.jad.2023.10.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 10/19/2023]
Abstract
INTRODUCTION Prior studies have discussed rapid eye movement (REM) sleep disturbance as a potential endophenotype of major depressive disorder (MDD). However, the neural substrates underlying the percentage of REM sleep duration (REM%) and its association with disease progression in MDD remain unclear. METHODS One hundred and fourteen MDD patients and 74 healthy controls (HCs) underwent resting-state functional and perfusion magnetic resonance imaging (MRI) scans as well as overnight polysomnography examination to assess brain function and REM%, with 48 patients completing follow-up visits. Correlation and mediation analyses were conducted to investigate the associations among baseline REM%, multimodal brain imaging measures, and the improvement of depressive symptoms at follow-up in MDD. RESULTS We found voxel-wise correlations between baseline REM% and multimodal brain imaging metrics in many brain regions involved in sensorimotor, visual processing, emotion, and cognition in patients with MDD. Moreover, the baseline REM% was correlated with the improvement of depressive symptoms from acute to remitted status in patients through regulating brain activity in the left inferior temporal gyrus and cerebral blood flow in the bilateral paracentral lobule. CONCLUSION Our findings help to identify the neural underpinnings of REM% in depression and highlight REM% as a potential prognostic biomarker to predict disease progression. These may inform future novel interventions of MDD from the perspective of regulating REM sleep.
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Affiliation(s)
- Cun Zhang
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Dao-Min Zhu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Yu Zhang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Tao Chen
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei 230022, China; Hefei Fourth People's Hospital, Hefei 230022, China; Anhui Mental Health Center, Hefei 230022, China
| | - Siyu Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Jingyao Chen
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Huanhuan Cai
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China.
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei 230032, China; Anhui Provincial Institute of Translational Medicine, Hefei 230032, China.
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Grafe L, Miller KE, Ross RJ, Bhatnagar S. The importance of REM sleep fragmentation in the effects of stress on sleep: Perspectives from preclinical studies. Neurobiol Stress 2024; 28:100588. [PMID: 38075023 PMCID: PMC10709081 DOI: 10.1016/j.ynstr.2023.100588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 11/03/2023] [Accepted: 11/05/2023] [Indexed: 02/12/2024] Open
Abstract
Psychological stress poses a risk for sleep disturbances. Importantly, trauma-exposed individuals who develop posttraumatic stress disorder (PTSD) frequently report insomnia and recurrent nightmares. Clinical studies have provided insight into the mechanisms of these sleep disturbances. We review polysomnographic findings in PTSD and identify analogous measures that have been made in animal models of PTSD. There is a rich empirical and theoretical literature on rapid eye movement sleep (REMS) substrates of insomnia and nightmares, with an emphasis on REMS fragmentation. For future investigations of stress-induced sleep changes, we recommend a focus on tonic, phasic and other microarchitectural REMS measures. Power spectral density analysis of the sleep EEG should also be utilized. Animal models with high construct validity can provide insight into gender and time following stressor exposure as moderating variables. Ultimately, preclinical studies with translational potential will lead to improved treatment for stress-related sleep disturbances.
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Affiliation(s)
- Laura Grafe
- Department of Psychology, Bryn Mawr College, Bryn Mawr, PA, USA
| | | | - Richard J. Ross
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Psychiatry, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Seema Bhatnagar
- Department of Anesthesiology and Critical Care, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Anesthesiology and Critical Care, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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18
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Mauries S, Bertrand L, Frija-Masson J, Benzaquen H, Kalamarides S, Sauvage K, Lejoyeux M, d’Ortho MP, Geoffroy PA. Effects of smoking on sleep architecture and ventilatory parameters including apneas: Results of the Tab-OSA study. Sleep Med X 2023; 6:100085. [PMID: 37736106 PMCID: PMC10509708 DOI: 10.1016/j.sleepx.2023.100085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/06/2023] [Accepted: 09/06/2023] [Indexed: 09/23/2023] Open
Abstract
Background The interaction between smoking and sleep seems appears to be bidirectional, but few studies evaluated the impact of smoking and its cessation on objective sleep parameters. In this context, this new study aimed to assess the impact of smoking and its cessation on sleep architecture and on ventilatory sleep parameters, particularly the presence of sleep apnea syndrome (apnea-hypopnea index (AHI)≥15). Methods: Patients hospitalized for polysomnographic sleep exploration were compared according to their smoking status: active smokers (AS), former smokers (FS), non-smokers (NoNi). Psychiatric and non-psychiatric co-morbidities and treatment or substance use were taken into account in the analyses. Results A total of 170 participants were included (N = 37 FS, 39 AS, 86 NoNi). A significant decrease in the mean nocturnal O2 saturation was observed for FS and AS compared to NoNi. No differences were found regarding AHI. Regarding sleep architecture, we observed a significant decrease in the slow wave sleep duration for AS compared to NoNi, and interestingly not between FS and NoNi. Conclusion This study suggests that current smokers suffer from alterations in both sleep architecture and ventilatory parameters, the later appears to persist even after smoking cessation.
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Affiliation(s)
- Sibylle Mauries
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
| | - Léa Bertrand
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
| | - Justine Frija-Masson
- Université de Paris, NeuroDiderot, Inserm, U1141, 48 boulevard Sérurier, 75019, Paris, France
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, Assistance Publique des Hôpitaux de Paris, GHU Paris Nord, DMU DREAM, Hôpital Bichat, 46 rue Henri Huchard, 75018, Paris, France
| | - Hélène Benzaquen
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, Assistance Publique des Hôpitaux de Paris, GHU Paris Nord, DMU DREAM, Hôpital Bichat, 46 rue Henri Huchard, 75018, Paris, France
| | - Sophie Kalamarides
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Beaujon, 100 boulevard Général Leclerc, 92110, Clichy, France
| | - Karine Sauvage
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
| | - Michel Lejoyeux
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
- GHU Paris - Psychiatry & Neurosciences, 1 rue Cabanis, 75014, Paris, France
| | - Marie-Pia d’Ortho
- Université de Paris, NeuroDiderot, Inserm, U1141, 48 boulevard Sérurier, 75019, Paris, France
- Explorations Fonctionnelles et Centre du Sommeil- Département de Physiologie Clinique, Assistance Publique des Hôpitaux de Paris, GHU Paris Nord, DMU DREAM, Hôpital Bichat, 46 rue Henri Huchard, 75018, Paris, France
| | - Pierre A. Geoffroy
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Bichat - Claude Bernard, 46 rue Henri Huchard, 75018, Paris, France
- GHU Paris - Psychiatry & Neurosciences, 1 rue Cabanis, 75014, Paris, France
- Université de Paris, NeuroDiderot, Inserm, U1141, 48 boulevard Sérurier, 75019, Paris, France
- CNRS UPR 3212, Institute for Cellular and Integrative Neurosciences, 5 rue Blaise Pascal, 67000, Strasbourg, France
- Département de Psychiatrie et d'addictologie, AP-HP, GHU Paris Nord, DMU Neurosciences, Hôpital Beaujon, 100 boulevard Général Leclerc, 92110, Clichy, France
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19
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Kishi TT, Andersen ML, Luciano YM, Kakazu VA, Tufik S, Pires GN. Methods for REM Sleep Density Analysis: A Scoping Review. Clocks Sleep 2023; 5:793-805. [PMID: 38131750 PMCID: PMC10742531 DOI: 10.3390/clockssleep5040051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/21/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
Rapid eye movements (REM) sleep density is the parameter proposed to explain the variability in the amount of eye movements during REM sleep. Alterations in REM sleep density have been proposed as a screening criterion for individuals with depression and other mental health conditions, but its accuracy has not been properly evaluated. The lack of consensus and the variability of the methods used to score it reduces the external validity of the results, hindering an adequate analysis of its diagnostic accuracy and clinical applicability. This scoping review aimed to identify and quantify the methods used to score REM sleep density, describing their main characteristics. A literature search was conducted in PubMed, Scopus, PsycInfo, and Web of Science. Only studies with objective measures for REM sleep density analysis in individuals with depression were considered eligible. The final sample comprised 57 articles, covering 64 analyses of REM sleep density. The relative frequency methods were the predominant measurement parameter for analyzing REM sleep density across studies. The most frequently adopted REM estimation unit was the number of REM events followed by mini-epochs containing REM. The most common unit of measurement were frequency/time measures. The results demonstrate that there is no consistency in the methods used to calculate REM sleep density in the literature, and a high percentage of studies do not describe their methods in sufficient detail. The most used method was the number of REM episodes per minute of REM sleep, but its use is neither unanimous nor consensual. The methodological inconsistencies and omissions among studies limit the replicability, comparability, and clinical applicability of REM sleep density. Future guidelines should discuss and include a specific methodology for the scoring of REM sleep density, so it can be consensually implemented in clinical services and research.
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Affiliation(s)
- Tamires Tiemi Kishi
- Departamento de Psicobiologia, Federal University of São Paulo, São Paulo 04024-002, Brazil; (T.T.K.)
| | - Monica Levy Andersen
- Departamento de Psicobiologia, Federal University of São Paulo, São Paulo 04024-002, Brazil; (T.T.K.)
- Sleep Institute, São Paulo, 04020-060, Brazil
| | - Ygor Matos Luciano
- Departamento de Psicobiologia, Federal University of São Paulo, São Paulo 04024-002, Brazil; (T.T.K.)
| | - Viviane Akemi Kakazu
- Departamento de Psicobiologia, Federal University of São Paulo, São Paulo 04024-002, Brazil; (T.T.K.)
| | - Sergio Tufik
- Departamento de Psicobiologia, Federal University of São Paulo, São Paulo 04024-002, Brazil; (T.T.K.)
- Sleep Institute, São Paulo, 04020-060, Brazil
| | - Gabriel Natan Pires
- Departamento de Psicobiologia, Federal University of São Paulo, São Paulo 04024-002, Brazil; (T.T.K.)
- Sleep Institute, São Paulo, 04020-060, Brazil
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20
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Kharchenko V, Zhdanova IV. The Wave Model of Sleep Dynamics and an Invariant Relationship between NonREM and REM Sleep. Clocks Sleep 2023; 5:686-716. [PMID: 37987397 PMCID: PMC10660848 DOI: 10.3390/clockssleep5040046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/05/2023] [Accepted: 11/10/2023] [Indexed: 11/22/2023] Open
Abstract
Explaining the complex structure and dynamics of sleep, which consist of alternating and physiologically distinct nonREM and REM sleep episodes, has posed a significant challenge. In this study, we demonstrate that a single-wave model concept captures the distinctly different overnight dynamics of the four primary sleep measures-the duration and intensity of nonREM and REM sleep episodes-with high quantitative precision for both regular and extended sleep. The model also accurately predicts how these polysomnographic measures respond to sleep deprivation or abundance. Furthermore, the model passes the ultimate test, as its prediction leads to a novel experimental finding-an invariant relationship between the duration of nonREM episodes and the intensity of REM episodes, the product of which remains constant over consecutive sleep cycles. These results suggest a functional unity between nonREM and REM sleep, establishing a comprehensive and quantitative framework for understanding normal sleep and sleep disorders.
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Affiliation(s)
- Vasili Kharchenko
- Department of Physics, University of Connecticut, Storrs, CT 06269, USA;
- Institute for Theoretical Atomic, Molecular & Optical Physics, Harvard-Smithsonian Center for Astrophysics, Cambridge, MA 02138, USA
| | - Irina V. Zhdanova
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
- BioChron LLC, Worcester, MA 01605, USA
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21
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Mlyncekova Z, Hutka P, Visnovcova Z, Ferencova N, Kovacova V, Macejova A, Tonhajzerova I, Ondrejka I. Effects of Vortioxetine on Sleep Architecture of Adolescents with Major Depressive Disorder. Clocks Sleep 2023; 5:627-638. [PMID: 37987393 PMCID: PMC10660849 DOI: 10.3390/clockssleep5040042] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/17/2023] [Accepted: 10/22/2023] [Indexed: 11/22/2023] Open
Abstract
The relationship between depression and insomnia is bidirectional and both conditions need to be treated adequately, especially in a vulnerable neurodevelopmental stage of adolescence. This study aimed to evaluate the effects of antidepressant treatment using vortioxetine (VOR) on the sleep architecture of depressed adolescents by using video-polysomnography (v-PSG), which has not been researched before. The v-PSG was performed on 30 adolescent in-patients (mean age of 15.0 years ± 1.5 SD, 21 girls) treated with VOR (dosage of 10/15/20 mg/day) administered orally once a day, before and after VOR treatment. The evaluated parameters were conventional sleep parameters, sleep fragmentation parameters, and selected spectral power indices. Symptoms of depression and insomnia before and after the treatment period were evaluated using valid and reliable questionnaires (the Children´s Depression Inventory and the Athens Insomnia Scale). Depressed adolescents showed higher REM latency and decreased REM sleep percentage after treatment than before the treatment period (p = 0.005, p = 0.009, respectively). Our study revealed REM suppression (increased REM latency and reduced REM sleep percentage), indicating altered sleep architecture as a potential result of VOR treatment, which seems to be dose-dependent.
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Affiliation(s)
- Zuzana Mlyncekova
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, University Hospital Martin, Comenius University in Bratislava, Kollarova 2, 03601 Martin, Slovakia; (Z.M.); (P.H.); (V.K.); (A.M.)
| | - Peter Hutka
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, University Hospital Martin, Comenius University in Bratislava, Kollarova 2, 03601 Martin, Slovakia; (Z.M.); (P.H.); (V.K.); (A.M.)
| | - Zuzana Visnovcova
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4D, 03601 Martin, Slovakia; (Z.V.); (N.F.)
| | - Nikola Ferencova
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4D, 03601 Martin, Slovakia; (Z.V.); (N.F.)
| | - Veronika Kovacova
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, University Hospital Martin, Comenius University in Bratislava, Kollarova 2, 03601 Martin, Slovakia; (Z.M.); (P.H.); (V.K.); (A.M.)
| | - Andrea Macejova
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, University Hospital Martin, Comenius University in Bratislava, Kollarova 2, 03601 Martin, Slovakia; (Z.M.); (P.H.); (V.K.); (A.M.)
| | - Ingrid Tonhajzerova
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Mala Hora 4C, 03601 Martin, Slovakia;
| | - Igor Ondrejka
- Clinic of Psychiatry, Jessenius Faculty of Medicine in Martin, University Hospital Martin, Comenius University in Bratislava, Kollarova 2, 03601 Martin, Slovakia; (Z.M.); (P.H.); (V.K.); (A.M.)
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22
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Wang Y, Melgers M, Meijer JH, Deboer T. Comparison of sleep deprivation and a low dose of ketamine on sleep and the electroencephalogram in Brown Norway rats. J Sleep Res 2023; 32:e13863. [PMID: 36806257 DOI: 10.1111/jsr.13863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 01/31/2023] [Accepted: 02/07/2023] [Indexed: 02/23/2023]
Abstract
Ketamine is known for its antidepressant effects, but the mechanism underlying this effect remains largely unclear. In contrast to most antidepressant drugs, the action of ketamine is rapid, suggesting a different mode of action. A rapid antidepressant effect is also observed following sleep deprivation (SD). In the present study, we aimed to evaluate the effect of a 6-h SD and acute ketamine treatment on vigilance states, locomotor activity, and electroencephalogram (EEG) power density spectra in Brown Norway rats under constant condition over 2 recording days. After SD and after the initial waking period induced by ketamine, both treatments induced a similar increase in non-rapid eye movement (NREM) sleep and EEG slow-wave activity (SWA) in NREM sleep. Rapid eye movement (REM) sleep was reduced immediately after both treatments but was recovered later only after the SD. The effects on the waking EEG differed between the treatments, with a faster theta peak during and after SD, and no change in the waking spectrum after ketamine. In conclusion, SD and ketamine both lead to an acute increment in NREM sleep SWA as well as in a reduction in REM sleep. The results suggest that selective suppression of REM sleep, combined with enhancement of SWA during NREM may be effective in the treatment of depression.
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Affiliation(s)
- Yumeng Wang
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marije Melgers
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Johanna H Meijer
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tom Deboer
- Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
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23
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Ren W, Zhang N, Sun Y, Pan L, Hou Y, Li D, Huang X, Liu K, Sun H, Sun Y, Lv C, Yu Y, Han F. The REM microarousal and REM duration as the potential indicator in paradoxical insomnia. Sleep Med 2023; 109:110-117. [PMID: 37429109 DOI: 10.1016/j.sleep.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/10/2023] [Accepted: 06/10/2023] [Indexed: 07/12/2023]
Abstract
OBJECTIVE Although paradoxical insomnia is a prevalent subtype of chronic insomnia, the etiology of it is unclear. Contrary to complaints of little or no sleep, polysomnography (PSG) findings show that paradoxical insomnia patients have near normal sleep macrostructure. The purpose of this study is to determine the changes of microstructure and explore the etiology of paradoxical insomnia. METHODS The PSG findings of 89 paradoxical insomnia patients were compared with those of 41 gender balanced healthy controls without sleep complaints. All subjects underwent nocturnal PSG recordings. Conventional PSG measures and microarousals were quantified and statistically analyzed. Receiver operating characteristic curve and correlation analysis were used to evaluate the potential of REM sleep microarousals and REM duration as indicators of paradoxical insomnia. RESULTS Compared with the controls, paradoxical insomnia patients had no significant differences in sleep macrostructures. Statistical analysis showed that non-rapid eye movement (NREM) microarousals revealed no significant differences between paradoxical insomnia patients and controls. Noticeably, more spontaneous microarousals appeared in rapid eye movement (REM) stage for paradoxical insomnia patients. Based on receiver operating characteristic curve (ROC), the optimal cutoff value of REM sleep microarousals could predict paradoxical insomnia. Furthermore, a positive correlation between microarousals in REM sleep and the duration of REM sleep was presented in paradoxical insomnia patients. CONCLUSIONS The frequency of REM microarousals and the duration of REM sleep could reflect the real sleep state of paradoxical insomnia patients. That suggested PSG investigation extended to microarousal could be helpful to understand the etiology in paradoxical insomnia.
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Affiliation(s)
- Wenjing Ren
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Na Zhang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Yunliang Sun
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Lei Pan
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Yanyan Hou
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Dongze Li
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Xiao Huang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Kuikui Liu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China
| | - Hongliu Sun
- Department of Pharmaceutical Sciences, Binzhou Medical University, Yantai, China
| | - Yeying Sun
- Department of Pharmaceutical Sciences, Binzhou Medical University, Yantai, China
| | - Changjun Lv
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China
| | - Yan Yu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China.
| | - Fang Han
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou, China; Department of the First School of Clinical Medicine, Binzhou Medical University, Binzhou, China.
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24
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Luo YJ, Ge J, Chen ZK, Liu ZL, Lazarus M, Qu WM, Huang ZL, Li YD. Ventral pallidal glutamatergic neurons regulate wakefulness and emotion through separated projections. iScience 2023; 26:107385. [PMID: 37609631 PMCID: PMC10440712 DOI: 10.1016/j.isci.2023.107385] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 06/30/2023] [Accepted: 07/11/2023] [Indexed: 08/24/2023] Open
Abstract
Insomnia is often comorbid with depression, but the underlying neuronal circuit mechanism remains elusive. Recently, we reported that GABAergic ventral pallidum (VP) neurons control wakefulness associated with motivation. However, whether and how other subtypes of VP neurons regulate arousal and emotion are largely unknown. Here, we report glutamatergic VP (VPVglut2) neurons control wakefulness and depressive-like behaviors. Physiologically, the calcium activity of VPVglut2 neurons was increased during both NREM sleep-to-wake transitions and depressive/anxiety-like behaviors in mice. Functionally, activation of VPVglut2 neurons was sufficient to increase wakefulness and induce anxiety/depressive-like behaviors, whereas inhibition attenuated both. Dissection of the circuit revealed that separated projections of VPVglut2 neurons to the lateral hypothalamus and lateral habenula promote arousal and depressive-like behaviors, respectively. Our results demonstrate a subtype of VP neurons is responsible for wakefulness and emotion through separated projections, and may provide new lines for the intervention of insomnia and depression in patients.
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Affiliation(s)
- Yan-Jia Luo
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
- Department of Anesthesiology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Jing Ge
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Ze-Ka Chen
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Zi-Long Liu
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Michael Lazarus
- International Institute for Integrative Sleep Medicine (WPI-IIIS) and Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8575, Japan
| | - Wei-Min Qu
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
| | - Zhi-Li Huang
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ya-Dong Li
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, and Institutes of Brain Science, Fudan University, Shanghai 200032, China
- Songjiang Research Institute, Shanghai Songjiang District Central Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 201699, China
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Leonhardt J, Winkler M, Kollikowski A, Schiffmann L, Quenzer A, Einsele H, Löffler C. Mind-body-medicine in oncology-from patient needs to tailored programs and interventions: a cross-sectional study. Front Psychol 2023; 14:1140693. [PMID: 37484070 PMCID: PMC10357839 DOI: 10.3389/fpsyg.2023.1140693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 06/19/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction National and international guidelines recommend early integration of evidence-based multimodal interventions and programs, especially with a focus on relaxation techniques and other Mind-Body-based methods to maintain the quality of life of oncology patients, improve treatment tolerability, and promote healthy lifestyle behaviors. Consequently, we aim to understand what drives patients and how they navigate integrative medicine to best advise them. This study aimed to detect possible topics of particular interest to patients and identify the patient groups that could benefit most from further programs. Furthermore, we aimed to investigate if patients are open-minded toward integrative oncology concepts and learn about their motivational level to maintain or change behavior. Methods Between August 2019 and October 2020 we surveyed patients undergoing oncological therapy in a university oncological outpatient center using a custom-developed questionnaire based on established Mind-Body Medicine concepts. Results We included 294 patients with various cancers. More than half reported problems sleeping through (61%) and 42% felt stressed frequently, invariably rating this as detrimental to their health. Moreover, a slight majority (52%) felt physically limited due to their disease and only 30% performed defined exercise programs. Women were significantly more likely to feel stressed and reported with alarming frequency that they often feel "everything was up to them." The 40-65-year-olds reported significantly less restful sleep, more stress and were more dissatisfied with their situation. However, this group already used natural remedies most frequently and was most often motivated to use relaxation techniques in the next 6 months. The lower the perceived individual energy level (EL), the less frequently patients did sport, the more frequently they felt their disease impaired their activity, mostly feeling stressed and tense. We also found significant associations between negative emotions/thoughts and the variables "sleep," "use of relaxation techniques," "personal stress perception," and "successful lifestyle modification." Conclusion Mind-Body programs that focus on patient's individual resources, with tools to explore impairing patterns of self-perception and cognitive biases, can be a valuable resource for oncology patients and should therefore be part of an integrative medical treatment concept.
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Affiliation(s)
- Jonas Leonhardt
- Department of Internal Medicine II, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Marcela Winkler
- Department of Natural and Integrative Medicine, Robert-Bosch-Hospital, Stuttgart, Germany
| | - Anne Kollikowski
- Comprehensive Cancer Center, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Lisa Schiffmann
- Comprehensive Cancer Center, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Anne Quenzer
- Department of Gynecology and Obstetrics, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Hermann Einsele
- Department of Internal Medicine II, University Hospital of Wuerzburg, Wuerzburg, Germany
| | - Claudia Löffler
- Department of Internal Medicine II, University Hospital of Wuerzburg, Wuerzburg, Germany
- Comprehensive Cancer Center, University Hospital of Wuerzburg, Wuerzburg, Germany
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26
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Kishi A, Van Dongen HPA. Phenotypic Interindividual Differences in the Dynamic Structure of Sleep in Healthy Young Adults. Nat Sci Sleep 2023; 15:465-476. [PMID: 37388963 PMCID: PMC10305769 DOI: 10.2147/nss.s392038] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 05/29/2023] [Indexed: 07/01/2023] Open
Abstract
Introduction Evaluating the dynamic structure of sleep may yield new insights into the mechanisms underlying human sleep physiology. Methods We analyzed data from a 12-day, 11-night, strictly controlled laboratory study with an adaptation night, 3 iterations of a baseline night followed by a recovery night after 36 h of total sleep deprivation, and a final recovery night. All sleep opportunities were 12 h in duration (22:00-10:00) and recorded with polysomnography (PSG). The PSG records were scored for the sleep stages: rapid eye movement (REM) sleep; non-REM (NREM) stage 1 sleep (S1), stage 2 sleep (S2), and slow wave sleep (SWS); and wake (W). Phenotypic interindividual differences were assessed using indices of dynamic sleep structure - specifically sleep stage transitions and sleep cycle characteristics - and intraclass correlation coefficients across nights. Results NREM/REM sleep cycles and sleep stage transitions exhibited substantial and stable interindividual differences that were robust across baseline and recovery nights, suggesting that mechanisms underlying the dynamic structure of sleep are phenotypic. In addition, the dynamics of sleep stage transitions were found to be associated with sleep cycle characteristics, with a significant relationship between the length of sleep cycles and the degree to which S2-to-W/S1 and S2-to-SWS transitions were in equilibrium. Discussion Our findings are consistent with a model for the underlying mechanisms that involves three subsystems - characterized by S2-to-W/S1, S2-to-SWS, and S2-to-REM transitions - with S2 playing a hub-like role. Furthermore, the balance between the two subsystems within NREM sleep (S2-to-W/S1 and S2-to-SWS) may serve as a basis for the dynamic regulation of sleep structure and may represent a novel target for interventions aiming to improve sleep.
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Affiliation(s)
- Akifumi Kishi
- Graduate School of Education, The University of Tokyo, Tokyo, Japan
- Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Japan Science and Technology Agency, PRESTO, Saitama, Japan
| | - Hans P A Van Dongen
- Sleep and Performance Research Center, Washington State University, Spokane, WA, USA
- Department of Translational Medicine and Physiology, Washington State University, Spokane, WA, USA
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Blattner M, Maski K. Narcolepsy and Idiopathic Hypersomnia. Sleep Med Clin 2023; 18:183-199. [PMID: 37120161 DOI: 10.1016/j.jsmc.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
Narcolepsy types 1 and 2 and idiopathic hypersomnia are primary Central Nervous System (CNS) disorders of hypersomnolence characterized by profound daytime sleepiness and/or excessive sleep need. Onset of symptoms begins typically in childhood or adolescence, and children can have unique presentations compared with adults. Narcolepsy type 1 is likely caused by immune-mediated loss of orexin (hypocretin) neurons in the hypothalamus; however, the causes of narcolepsy type 2 and idiopathic hypersomnia are unknown. Existing treatments improve daytime sleepiness and cataplexy but there is no cure for these disorders.
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Affiliation(s)
- Margaret Blattner
- Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, USA
| | - Kiran Maski
- Department of Neurology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, BCH3443, Boston, MA 02115, USA.
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Cao X, Liu X. Time Use and Cognitive Achievement among Adolescents in China: Depression Symptoms as Mediators. J Intell 2023; 11:jintelligence11050088. [PMID: 37233337 DOI: 10.3390/jintelligence11050088] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/27/2023] Open
Abstract
Everyone's time is limited, and there is competition between different aspects of time use; this requires comprehensive consideration of the effects of different aspects of time use on cognitive achievement in adolescents. This study uses a dataset of 11,717 students from a nationally representative large-scale survey project conducted in 2013 to 2014 to clarify the relationship between time use (including working on homework, playing sports, surfing the Internet, watching TV, and sleeping) and cognitive achievement among Chinese adolescents, and explores the mediating role of depression symptoms in the relationship between time use and cognitive achievement. The results of the correlation analysis show that the average daily time spent on homework, playing sports, and sleeping is significantly positively correlated with cognitive achievement (p < 0.01), while time spent surfing the Internet and watching TV are significantly negatively correlated with cognitive achievement (p < 0.01). The results of the mediating effect model show that depression symptoms play a mediating role in the relationship between time use and cognitive achievement among Chinese adolescents. Specifically, time spent playing sports (indirect effect = 0.008, p < 0.001) and sleeping (indirect effect = 0.015, p < 0.001) have a positive effect on cognitive achievement when using depression symptoms as mediators; time spent on homework (indirect effect = -0.004, p < 0.001), surfing the Internet (indirect effect = -0.002, p = 0.046), and watching TV (indirect effect = -0.005, p < 0.001) have a negative effect on cognitive achievement when using depression symptoms as mediators. This study contributes to the understanding of the relationship between time use and cognitive achievement among Chinese adolescents.
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Affiliation(s)
- Xiaojie Cao
- Graduate School of Education, Peking University, Beijing 100871, China
| | - Xinqiao Liu
- School of Education, Tianjin University, Tianjin 300350, China
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Yasugaki S, Okamura H, Kaneko A, Hayashi Y. Bidirectional Relationship Between Sleep and Depression. Neurosci Res 2023:S0168-0102(23)00087-1. [PMID: 37116584 DOI: 10.1016/j.neures.2023.04.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 03/01/2023] [Accepted: 04/20/2023] [Indexed: 04/30/2023]
Abstract
Patients with depression almost inevitably exhibit abnormalities in sleep, such as shortened latency to enter rapid eye movement (REM) sleep and decrease in electroencephalogram delta power during non-REM sleep. Insufficient sleep can be stressful, and the accumulation of stress leads to the deterioration of mental health and contributes to the development of psychiatric disorders. Thus, it is likely that depression and sleep are bidirectionally related, i.e. development of depression contributes to sleep disturbances and vice versa. However, the relation between depression and sleep seems complicated. For example, acute sleep deprivation can paradoxically improve depressive symptoms. Thus, it is difficult to conclude whether sleep has beneficial or harmful effects in patients with depression. How antidepressants affect sleep in patients with depression might provide clues to understanding the effects of sleep, but caution is required considering that antidepressants have diverse effects other than sleep. Recent animal studies support the bidirectional relation between depression and sleep, and animal models of depression are expected to be beneficial for the identification of neuronal circuits that connect stress, sleep, and depression. This review provides a comprehensive overview regarding the current knowledge of the relationship between depression and sleep.
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Affiliation(s)
- Shinnosuke Yasugaki
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; Japan Society for the Promotion of Science (JSPS), Tokyo 102-0083, Japan.
| | - Hibiki Okamura
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Japan Society for the Promotion of Science (JSPS), Tokyo 102-0083, Japan; Program in Humanics, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan.
| | - Ami Kaneko
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Program in Humanics, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan.
| | - Yu Hayashi
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Ibaraki 305-8575, Japan; Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Bunkyo-ku, Tokyo 113-0033, Japan; Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto 603-8363, Japan.
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Le GH, Gillissie ES, Rhee TG, Cao B, Alnefeesi Y, Guo Z, Di Vincenzo JD, Jawad MY, March AM, Ramachandra R, Lui LMW, McIntyre RS. Efficacy, safety, and tolerability of ulotaront (SEP-363856, a trace amine-associated receptor 1 agonist) for the treatment of schizophrenia and other mental disorders with similar pathophysiology: a systematic review of preclinical and clinical trials. Expert Opin Investig Drugs 2023:1-15. [PMID: 37096491 DOI: 10.1080/13543784.2023.2206559] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Schizophrenia is a mental illness that can disrupt emotions, perceptions, cognition, and reduce quality of life. The classical approach to treat schizophrenia uses typical and atypical antipsychotics; however, limitations include low efficacy in mitigating negative symptoms and cognitive dysfunctions, and a range of adverse effects. Evidence has accumulated on trace amine-associated receptor 1 (TAAR1) as a novel therapeutic target for treating schizophrenia. This systematic review investigates the available evidence on a TAAR1 agonist, ulotaront, as a treatment for schizophrenia. METHODS A systematic search was conducted on PubMed/MEDLINE, and Ovid databases for English-published articles from inception to December 18, 2022. Literature focusing on the association between ulotaront and schizophrenia were evaluated based on an inclusion/exclusion criterion. Selected studies were assessed for risk of bias, using Cochrane Collaboration tool, and summarized in a table to generate discussion topics. RESULTS Three clinical, two comparative, and five preclinical studies examining ulotaront's pharmacology, tolerability and safety, and/or efficacy were identified. Results indicate that ulotaront has a differing adverse effects profile from other antipsychotics, may mitigate metabolic-related adverse effects commonly associated with antipsychotics, and may be effective for treating positive and negative symptoms. CONCLUSIONS Findings from available literature present ulotaront as a potential and promising alternative treatment method for schizophrenia. Despite this, our results were limited due to lack of clinical trials on ulotaront's long-term efficacy and mechanisms of action. Future research should focus on these limitations to elucidate ulotaront's efficacy and safety for the treatment of schizophrenia and other mental disorders with similar pathophysiology.
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Affiliation(s)
- Gia Han Le
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Emily S Gillissie
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Taeho Greg Rhee
- Department of Psychiatry, School of Medicine, Yale University, New Haven, CT, USA
- VA New England Mental Illness, Research, Education and Clinical Center (MIRECC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Public Health Sciences, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Bing Cao
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Ministry of Education, Southwest University, Chongqing, 400715, P. R. China
| | - Yazen Alnefeesi
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Ziji Guo
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Joshua D Di Vincenzo
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Muhammad Youshay Jawad
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Andrew M March
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Ranuk Ramachandra
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Leanna M W Lui
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, ON, Canada
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
- Brain and Cognition Discovery Foundation, Toronto, ON, Canada
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Fu T, Wang C, Yan J, Zeng Q, Ma C. Relationship between antenatal sleep quality and depression in perinatal women: A comprehensive meta-analysis of observational studies. J Affect Disord 2023; 327:38-45. [PMID: 36739002 DOI: 10.1016/j.jad.2023.01.125] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 01/24/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023]
Abstract
BACKGROUND Perinatal depression is a global mental health problem. Studies have suggested that perinatal depression is related to poor sleep quality during pregnancy. However, evidence on the influence and mechanism of sleep quality on the risk of developing perinatal depression remains limited and inconclusive. METHODS A systematic review was conducted in PubMed, Web of Science, Embase, CINAHI and Cochrane Library for relevant original quantitative studies published in English. A hand search of the reference list of relevant studies was also performed. Meta-analysis was performed using RevMan software and a random-effects model. Potential heterogeneity source was explored by subgroup and sensitivity analyses, and potential publication bias was tested using funnel plots and Begg's test. RESULTS A total of ten studies involving 39,574 participants were included in our meta-analysis. Overall, women who experienced poor sleep quality during pregnancy were at a significantly higher risk of developing depression, with antenatal depression 3.72 times higher, postpartum depression 2.71 times higher, and perinatal depression 3.46 times higher, compared to those did not experience poor sleep quality. LIMITATIONS Different measuring tools and unobserved confounding factors may make some bias in our result. What's more, not all included studies were initially designed to assess the association between antenatal sleep quality and the risk of developing perinatal depression. CONCLUSION Our meta-analysis found that antenatal sleep quality was negatively associated with the risk for perinatal depression. Our findings highlight the importance of improving sleep quality during pregnancy for mental health among perinatal women.
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Affiliation(s)
- Tingting Fu
- The Third Xiangya Hospital of Central South University, Department of Nursing, Changsha, Hunan, China
| | - Chunyu Wang
- Xiangya Nursing School, Central South University, Changsha, Hunan, China
| | - Jin Yan
- Xiangya Nursing School, Central South University, Changsha, Hunan, China; The Third Xiangya Hospital of Central South University, Department of Nursing, Changsha, Hunan, China.
| | - Qiya Zeng
- Xiangya Nursing School, Central South University, Changsha, Hunan, China
| | - Chenjuan Ma
- Rory Meyers College of Nursing, New York University, New York, USA
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Montano CB, Jackson WC, Vanacore D, Weisler R. Considerations when selecting an antidepressant: a narrative review for primary care providers treating adults with depression. Postgrad Med 2023:1-17. [PMID: 36912037 DOI: 10.1080/00325481.2023.2189868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Major depressive disorder (MDD) is a debilitating mental disorder that can be treated with a number of different antidepressant therapies, each with its own unique prescribing considerations. Complicating the selection of an appropriate antidepressant for adults with MDD is the heterogeneity of clinical profiles and depression subtypes. Additionally, patient comorbidities, preferences, and likelihood of adhering to treatment must all be considered when selecting an appropriate therapy. With the majority of prescriptions being written by primary care practitioners, it is appropriate to review the unique characteristics of all available antidepressants, including safety considerations. Prior to initiating antidepressant treatment and when patients do not respond adequately to initial therapy and/or exhibit any hypomanic or manic symptoms, bipolar disorder must be ruled out, and evaluation for psychiatric comorbidities must be considered as well. Patients with an inadequate response may then require a treatment switch to another drug with a different mechanism of action, combination, or augmentation strategy. In this narrative review, we propose that careful selection of the most appropriate antidepressant for adult patients with MDD based on their clinical profile and comorbidities is vital for initial treatment selection.Strategies must be considered for addressing partial and inadequate responses as well to help patients achieve full remission and sustained functional recovery. This review also highlights data for MDD clinical outcomes for which gaps in the literature have been identified, including the effects of antidepressants on functional outcomes, sleep disturbances, emotional and cognitive blunting, anxiety, and residual symptoms of depression.
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Affiliation(s)
- C Brendan Montano
- Montano Wellness LLC, CT Clinical Research, University of Connecticut Medical School, Farmington, CT, USA
| | - W Clay Jackson
- West Cancer Center, Department of Family Medicine and Department of Psychiatry, University of Tennessee College of Medicine, Memphis, TN, USA
| | | | - Richard Weisler
- P.A. & Associates; Department of Psychiatry, Duke University, Durham, NC, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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de Feijter M, Kocevska D, Ikram MA, Luik AI. The bidirectional association of 24-h activity rhythms and sleep with depressive symptoms in middle-aged and elderly persons. Psychol Med 2023; 53:1418-1425. [PMID: 37010217 PMCID: PMC10009400 DOI: 10.1017/s003329172100297x] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 03/29/2021] [Accepted: 07/06/2021] [Indexed: 11/06/2022]
Abstract
BACKGROUND In older populations disturbed 24-h activity rhythms, poor sleep, and depressive symptoms are often lingering and co-morbid, making treatment difficult. To improve insights into these commonly co-occurring problems, we assessed the bidirectional association of sleep and 24-h activity rhythms with depressive symptoms in middle-aged and elderly persons. METHODS In 1734 participants (mean age: 62.3 ± 9.3 years, 55% women) from the prospective Rotterdam Study, 24-h activity rhythms and sleep were estimated with actigraphy (mean duration: 146 ± 19.6 h), sleep quality with the Pittsburgh Sleep Quality Index, and depressive symptoms with the Center for Epidemiological Studies Depression scale. Repeated measures were available for 947 participants (54%) over a median follow-up of 6 years (interquartile range = 5.6-6.3). Linear-mixed models were used to assess temporal associations of 24-h activity rhythms and sleep with depressive symptoms in both directions. RESULTS High 24-h activity rhythm fragmentation (IV) (B = 1.002, 95% confidence interval (CI) = 0.641-1.363), long time in bed (TIB) (B = 0.111, 95% CI = 0.053-0.169), low sleep efficiency (SE) (B = -0.015, 95% CI = -0.020 to -0.009), long sleep onset latency (SOL) (B = 0.009, 95% CI = 0.006-0.012), and low self-rated sleep quality (B = 0.112, 95% CI = 0.0992-0.124) at baseline were associated with increasing depressive symptoms over time. Conversely, more depressive symptoms at baseline were associated with an increasing 24-h activity rhythm fragmentation (B = 0.002, 95% CI = 0.001-0.003) and TIB (B = 0.009, 95% CI = 0.004-0.015), and a decreasing SE (B = -0.140, 95% CI = -0.196 to -0.084), SOL (B = 0.013, 95% CI = 0.008-0.018), and self-rated sleep quality (B = 0.193, 95% CI = 0.171-0.215) over time. CONCLUSION This study demonstrates a bidirectional association of 24-h activity rhythms, actigraphy-estimated sleep, and self-rated sleep quality with depressive symptoms over a time frame of multiple years in middle-aged and elderly persons.
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Affiliation(s)
- Maud de Feijter
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Desana Kocevska
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, Amsterdam, the Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Annemarie I. Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center, Rotterdam, the Netherlands
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A Narrative Review on REM Sleep Deprivation: A Promising Non-Pharmaceutical Alternative for Treating Endogenous Depression. J Pers Med 2023; 13:jpm13020306. [PMID: 36836540 PMCID: PMC9960519 DOI: 10.3390/jpm13020306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 02/03/2023] [Accepted: 02/04/2023] [Indexed: 02/12/2023] Open
Abstract
Endogenous depression represents a severe mental health condition projected to become one of the worldwide leading causes of years lived with disability. The currently available clinical and non-clinical interventions designed to alleviate endogenous depression-associated symptoms encounter a series of inconveniences, from the lack of intervention effectiveness and medication adherence to unpleasant side effects. In addition, depressive individuals tend to be more frequent users of primary care units, which markedly affects the overall treatment costs. In parallel with the growing incidence of endogenous depression, researchers in sleep science have discovered multiple links between rapid eye movement (REM) sleep patterns and endogenous depression. Recent findings suggest that prolonged periods of REM sleep are associated with different psychiatric disorders, including endogenous depression. In addition, a growing body of experimental work confidently describes REM sleep deprivation (REM-D) as the underlying mechanism of most pharmaceutical antidepressants, proving its utility as either an independent or adjuvant approach to alleviating the symptoms of endogenous depression. In this regard, REM-D is currently being explored for its potential value as a sleep intervention-based method for improving the clinical management of endogenous depression. Therefore, this narrative review represents a comprehensive inventory of the currently available evidence supporting the potential use of REM-D as a reliable, non-pharmaceutical approach for treating endogenous depression, or as an adjuvant practice that could improve the effectiveness of currently used medication.
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Morrone CD, Tsang AA, Giorshev SM, Craig EE, Yu WH. Concurrent behavioral and electrophysiological longitudinal recordings for in vivo assessment of aging. Front Aging Neurosci 2023; 14:952101. [PMID: 36742209 PMCID: PMC9891465 DOI: 10.3389/fnagi.2022.952101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/12/2022] [Indexed: 01/19/2023] Open
Abstract
Electrophysiological and behavioral alterations, including sleep and cognitive impairments, are critical components of age-related decline and neurodegenerative diseases. In preclinical investigation, many refined techniques are employed to probe these phenotypes, but they are often conducted separately. Herein, we provide a protocol for one-time surgical implantation of EMG wires in the nuchal muscle and a skull-surface EEG headcap in mice, capable of 9-to-12-month recording longevity. All data acquisitions are wireless, making them compatible with simultaneous EEG recording coupled to multiple behavioral tasks, as we demonstrate with locomotion/sleep staging during home-cage video assessments, cognitive testing in the Barnes maze, and sleep disruption. Time-course EEG and EMG data can be accurately mapped to the behavioral phenotype and synchronized with neuronal frequencies for movement and the location to target in the Barnes maze. We discuss critical steps for optimizing headcap surgery and alternative approaches, including increasing the number of EEG channels or utilizing depth electrodes with the system. Combining electrophysiological and behavioral measurements in preclinical models of aging and neurodegeneration has great potential for improving mechanistic and therapeutic assessments and determining early markers of brain disorders.
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Affiliation(s)
- Christopher Daniel Morrone
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,*Correspondence: Christopher Daniel Morrone,
| | - Arielle A. Tsang
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada
| | - Sarah M. Giorshev
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Psychology, University of Toronto Scarborough, Toronto, ON, Canada
| | - Emily E. Craig
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Wai Haung Yu
- Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada,Geriatric Mental Health Research Services, Centre for Addiction and Mental Health, Toronto, ON, Canada,Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada,Wai Haung Yu,
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Gao L, Yang J, Liu J, Xin T, Liu Y. Activities of Daily Living and Depression in Chinese Elderly of Nursing Homes: A Mediation Analysis. Psychol Res Behav Manag 2023; 16:29-38. [PMID: 36636291 PMCID: PMC9831252 DOI: 10.2147/prbm.s394787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 12/19/2022] [Indexed: 01/06/2023] Open
Abstract
Purpose This study aimed to explore the role of sleep quality as a mediator in the activities of daily living (ADLs) and depression. Patients and Methods Participants (N=645; age≥60) were included in six nursing homes in Weifang, Shandong Province, using convenience sampling. Participants completed questionnaires to assess sleep quality, ADLs, and depression. Depression condition was assessed by the Patient Health Questionnaire (PHQ-9), ADLs was assessed by the Barthel Index (BI), and sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI). Mediation analysis was carried out by SPSS PROCESS. Results ADLs (r=0.449, P<0.01) and sleep quality (r=0.450, P<0.01) were found to be positively associated with depression among the elderly. Sleep quality plays a significant mediating role in the influence of ADLs on depression in the elderly in nursing homes (Bootstrap 95% CI [0.076, 0.139]), The pathway from ADLs to sleep quality to depression yielded a medium effect size of 20.23%. Conclusion ADLs help to explain how sleep quality partly mediates depression among the elderly in nursing homes. It is therefore recommended that timely detection and efficient interventions should focus on promoting physical function and improving sleep quality among the elderly in nursing homes.
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Affiliation(s)
- Lunan Gao
- School of Nursing, Weifang Medical University, Weifang, People’s Republic of China
| | - Jinhong Yang
- Department of Oncology, Weifang People’s Hospital, Weifang, People’s Republic of China
| | - Jiang Liu
- School of Nursing, Weifang Medical University, Weifang, People’s Republic of China
| | - Tingting Xin
- School of Nursing, Weifang Medical University, Weifang, People’s Republic of China
| | - Yuxiu Liu
- School of Nursing, Weifang Medical University, Weifang, People’s Republic of China,Correspondence: Yuxiu Liu, School of Nursing, Weifang Medical University, No. 7166 Baotong Western Street, Weifang, People’s Republic of China, Tel +8618663608162, Email
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Xu YX, Liu GY, Ji ZZ, Li YY, Wang YL, Wu XY, Liu JL, Ma DX, Zhong MK, Gao CB, Xu Q. Restraint stress induced anxiety and sleep in mice. Front Psychiatry 2023; 14:1090420. [PMID: 37124267 PMCID: PMC10130584 DOI: 10.3389/fpsyt.2023.1090420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 03/20/2023] [Indexed: 05/02/2023] Open
Abstract
In humans and animals, exposure to changes in internal or external environments causes acute stress, which changes sleep and enhances neurochemical, neuroendocrine, and sympathetic activities. Repeated stress responses play an essential role in the pathogenesis of psychiatric diseases and sleep disorders. However, the underlying mechanism of sleep changes and anxiety disorders in response to acute stress is not well established. In the current study, the effects of restraint stress (RS) on anxiety and sleep-wake cycles in mice were investigated. We found that after RS, the mice showed anxiety-like behavior after RS manipulation and increased the amounts of both non-rapid eye movement (NREM) and rapid eye movement (REM) sleep in the dark period. The increase in sleep time was mainly due to the increased number of episodes of NREM and REM sleep during the dark period. In addition, the mice showed an elevation of the EEG power spectrum of both NREM and REM sleep 2 h after RS manipulation. There was a significant reduction in the EEG power spectrum of both NREM and REM sleep during the darkperiod in the RS condition. The expression of the c-Fos protein was significantly increased in the parabrachial nucleus, bed nucleus of the stria terminalis, central amygdala, and paraventricular hypothalamus by RS manipulation. Altogether, the findings from the present study indicated that neural circuits from the parabrachial nucleus might regulate anxiety and sleep responses to acute stress, and suggest a potential therapeutic target for RS induced anxiety and sleep alterations.
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Affiliation(s)
- Yong-Xia Xu
- Department of Geriatric Endocrinology, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Guo-Ying Liu
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Zhang-Zhang Ji
- Department of Stomatology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yue-Yun Li
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yan-Li Wang
- Department of Geriatric Endocrinology, Anhui Geriatric Institute, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xue-Yan Wu
- Department of Human Anatomy, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Jun-Lin Liu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Dan-Xia Ma
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
| | - Ming-Kui Zhong
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
- *Correspondence: Ming-Kui Zhong,
| | - Chao-Bing Gao
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Chao-Bing Gao,
| | - Qi Xu
- Department of Physiology, School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China
- Qi Xu,
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Xu H, Tao J, Yang J, Su Y, Xu C, Hu M, Lum GGA, Hu D, Lu L. Mobile phone use addiction, insomnia, and depressive symptoms in adolescents from ethnic minority areas in China: A latent variable mediation model. J Affect Disord 2023; 320:381-389. [PMID: 36206877 DOI: 10.1016/j.jad.2022.09.156] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/25/2022] [Accepted: 09/30/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND AIMS Although previous studies have discussed the association between mobile phone use addiction (MPUA) and depressive symptoms in adolescents, studies on Chinese adolescents are limited, with no studies being reported on adolescents from ethnic minority areas within Yunnan. This study aimed to explore the mediating mechanism of insomnia in the association between MPUA and depressive symptoms among Yunnan college students. METHODS A sample survey was conducted among 10,121 college students from four colleges in Yunnan province, China, from November to December 2021 via cluster sampling. Insomnia was assessed using the Insomnia Severity Index Scale, MPUA was assessed using the Self-Rating Questionnaire for Adolescent Problematic Mobile Phone Use, and depressive symptoms were assessed using the Patient Health Questionnaire-9 items. A generalized linear model was used to analyze the association between MPUA, insomnia, and depressive symptoms. The structural equation model was used to analyze the mediating effect of insomnia. RESULTS The positive rates of depressive symptoms, MPUA, and insomnia were 39.2 %, 30.8 %, and 22.3 %, respectively. After adjusting for the demographic and confounding variables, MPUA (β = 0.14, 95 % CI: 0.13-0.15, P < 0.01) and insomnia (β = 0.44, 95 % CI: 0.43-0.46, P < 0.01) were associated with depressive symptoms (P < 0.05). The mediating effect of insomnia accounted for 34.7 % of the total effect in the mediating model of MPUA associated with depressive symptoms. CONCLUSION Our findings suggest that insomnia partially mediates the association between MPUA and depressive symptoms among Yunnan college students.
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Affiliation(s)
- Honglv Xu
- School of Medicine, Kunming University, Kunming 650214, China; Community Nursing Research Team of Kunming University, Puxin Road 2, Kunming, Yunnan 650214, China
| | - Jian Tao
- School of Medicine, Kunming University, Kunming 650214, China
| | - Jiaxing Yang
- School of Medicine, Kunming University, Kunming 650214, China
| | - Yunpeng Su
- School of Nursing, Dali University, Dali 671000, China
| | - Chuanzhi Xu
- School of Public Health, Kunming Medical University, Kunming 650500, China
| | - Mengdie Hu
- School of Medicine, Kunming University, Kunming 650214, China; Community Nursing Research Team of Kunming University, Puxin Road 2, Kunming, Yunnan 650214, China
| | | | - Dongyue Hu
- School of Medicine, Kunming University, Kunming 650214, China; Community Nursing Research Team of Kunming University, Puxin Road 2, Kunming, Yunnan 650214, China
| | - Lin Lu
- Health Commission of Yunnan Province, Guomao Road 309, Kunming, Yunnan 650200, China.
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Carpenter JS, Zmicerevska N, Crouse JJ, Nichles A, Garland A, Song YJC, Wilson C, Rohleder C, McHugh C, Leweke FM, Koethe D, Scott EM, Hickie IB. Effects of adjunctive brexpiprazole on sleep-wake and circadian parameters in youth with depressive disorders: study protocol for a clinical trial. BMJ Open 2022; 12:e056298. [PMID: 36691133 PMCID: PMC9454051 DOI: 10.1136/bmjopen-2021-056298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 08/09/2022] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION Sleep-wake and circadian disturbance is a key feature of mood disorders with a potential causal role and particular relevance to young people. Brexpiprazole is a second-generation antipsychotic medication with demonstrated efficacy as an adjunct to antidepressant treatment for major depressive disorder (MDD) in adults, with preliminary evidence suggesting greater effectiveness in subgroups of depressed patients with sleep disturbances. This clinical trial aims to evaluate the relationships between changes in sleep-wake and circadian parameters and changes in depressive symptoms following adjunctive brexpiprazole treatment in young adults with MDD and sleep-wake disturbance. METHODS AND ANALYSIS This study is designed as a 16 week (8 weeks active treatment, 8 weeks follow-up) mechanistic, open-label, single-arm, phase IV clinical trial and aims to recruit 50 young people aged 18-30 with MDD and sleep-wake cycle disturbance through an early intervention youth mental health clinic in Sydney, Australia. At baseline, participants will undergo multidimensional outcome assessment and subsequently receive 8 weeks of open-label treatment with brexpiprazole as adjunctive to their stable psychotropic medication. Following 4 weeks of treatment, clinical and self-report measures will be repeated. Ambulatory sleep-wake monitoring will be conducted continuously for the duration of treatment. After 8 weeks of treatment, all multidimensional outcome assessments will be repeated. Follow-up visits will be conducted 4 and 8 weeks after trial completion (including sleep-wake, clinical and self-report assessments). Circadian rhythm biomarkers including salivary melatonin, cortisol and core body temperature will be collected during an in-lab assessment. Additionally, metabolic, inflammatory and genetic risk markers will be collected at baseline and after 8 weeks of treatment. ETHICS AND DISSEMINATION This trial protocol has been approved by the Human Research Ethics Committee of the Sydney Local Health District (X19-0417 and 2019/ETH12986, Protocol Version 1-3, dated 25 February 2021). The results of this study, in deidentified form, will be disseminated through publication in peer-reviewed journals, scholarly book chapters, presentation at conferences and publication in conference proceedings. TRIAL REGISTRATION NUMBER ACTRN12619001456145.
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Affiliation(s)
- Joanne S Carpenter
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Natalia Zmicerevska
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Jacob J Crouse
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alissa Nichles
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Alexandra Garland
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Yun Ju Christine Song
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Chloe Wilson
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Cathrin Rohleder
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Catherine McHugh
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - F Markus Leweke
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Dagmar Koethe
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
| | - Elizabeth M Scott
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
- The University of Notre Dame Australia School of Medicine Sydney Campus, Darlinghurst, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, Australia
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Zhou JC, Jiang JB, Guo H, Yang SR, Liu CF, Qu WM, Huang ZL, Ding FF. Trihexyphenidyl increases delta activity in non-rapid eye movement sleep without impairing cognitive function in rodent models. Neuropharmacology 2022; 218:109217. [PMID: 35973600 DOI: 10.1016/j.neuropharm.2022.109217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 07/18/2022] [Accepted: 08/08/2022] [Indexed: 10/31/2022]
Abstract
Both human and rodent studies suggest the link between non-rapid eye movement (NREM) sleep and cognition. Recent study indicated that selective activation of cholinergic neurons in basal forebrain inhibits electroencephalogram (EEG) delta power and shortens NREM sleep. In the current study, we aimed to test the pharmacological effect of trihexyphenidyl (THP), a selective muscarinic M1 receptor antagonist, on EEG power spectra and sleep with or without the selective activation of basal forebrain cholinergic neurons. THP (1, 2, and 3 mg/kg) was administrated intraperitoneally in natural sleep phase. Basal forebrain cholinergic neurons expressing modified G protein-coupled muscarinic receptors (hM3Dq) were activated by intraperitoneal injection of clozapine-N-oxide in ChAT-IRES-Cre mice. EEG and electromyogram (EMG) signals were recorded in freely moving mice to analyze EEG power spectrum and sleep hypnogram. Y-maze and novel object recognition tests were used for testing cognition. THP 1 mg/kg significantly increased EEG delta power and facilitated NREM sleep in wildtype mice, while THP 3 mg/kg was required in ChAT-IRES-Cre mice treated with clozapine-N-oxide. THP with dosage up to 8 mg/kg did not induce cognitive impairments in wildtype mice. EEG delta power of NREM sleep is often used as an indicator of sleep depth or sleep quality, which tightly link with sleep-dependent cognition. Taken together, the data collected from rodents hinted that, THP could possibly be used as the NREM sleep facilitator in humans.
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Affiliation(s)
- Ji Chuan Zhou
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jian Bo Jiang
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Han Guo
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Su Rong Yang
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Chun Feng Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, 215000, China
| | - Wei Min Qu
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhi Li Huang
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| | - Feng Fei Ding
- Department of Pharmacology, School of Basic Medical Sciences, State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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Jiang Y, Jiang T, Xu LT, Ding L. Relationship of depression and sleep quality, diseases and general characteristics. World J Psychiatry 2022; 12:722-738. [PMID: 35663298 PMCID: PMC9150039 DOI: 10.5498/wjp.v12.i5.722] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/14/2022] [Accepted: 04/28/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Depression is the most common type of depressive disorder. The most common sleep disorder associated with depression is insomnia. Insomnia and depression are closely related.
AIM To investigate the relationship of designed questionnaire items and depression, and analyze the related factors with depression.
METHODS Questionnaire included Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh sleep quality index (PSQI), 12 kinds of diseases, 8 general characteristics, and 20 insomnia characteristics, totally 56 items were filled out by 411 patients enrolled.
RESULTS All the 9 items of PHQ-9, 6 components of PSQI (except sleep duration), education, living situation, exercise, years of insomnia, western medicine treatment, Chinese medicine treatment, psychotherapy, kinds of insomnia, treatment expected to treat insomnia, psychological counseling, habit of 1 h before bed, habit of lunch break, diagnosed depression, coronary heart disease, mental illness showed significant difference between without and with depression group. By univariate analysis and multivariate analysis. The odds ratio of education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression, coronary heart disease (P = 0.01) showed significant difference. Their odds ratios were 0.71 (0.55, 0.93), 2.09 (1.32, 3.31), 0.76 (0.63, 0.91), 0.89 (0.81, 0.98), 0.32 (0.17, 0.60), 0.43 (0.23, 0.79).
CONCLUSION We demonstrated that education, exercise, kinds of insomnia, habit of 1 h before bed, diagnosed depression and coronary heart disease affect the depression.
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Affiliation(s)
- Yan Jiang
- Yuetan Community Health Service Center Fuxing Hospital, Capital Medical University, Beijing 100045, China
| | - Tao Jiang
- Department of Medicine Innovation Research, Chinese PLA General Hospital, Beijing 100853, China
| | - Li-Tao Xu
- Yuetan Community Health Service Center Fuxing Hospital, Capital Medical University, Beijing 100045, China
| | - Lan Ding
- Yuetan Community Health Service Center Fuxing Hospital, Capital Medical University, Beijing 100045, China
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Roles of Neuropeptides in Sleep-Wake Regulation. Int J Mol Sci 2022; 23:ijms23094599. [PMID: 35562990 PMCID: PMC9103574 DOI: 10.3390/ijms23094599] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/31/2022] [Accepted: 04/19/2022] [Indexed: 12/04/2022] Open
Abstract
Sleep and wakefulness are basic behavioral states that require coordination between several brain regions, and they involve multiple neurochemical systems, including neuropeptides. Neuropeptides are a group of peptides produced by neurons and neuroendocrine cells of the central nervous system. Like traditional neurotransmitters, neuropeptides can bind to specific surface receptors and subsequently regulate neuronal activities. For example, orexin is a crucial component for the maintenance of wakefulness and the suppression of rapid eye movement (REM) sleep. In addition to orexin, melanin-concentrating hormone, and galanin may promote REM sleep. These results suggest that neuropeptides play an important role in sleep–wake regulation. These neuropeptides can be divided into three categories according to their effects on sleep–wake behaviors in rodents and humans. (i) Galanin, melanin-concentrating hormone, and vasoactive intestinal polypeptide are sleep-promoting peptides. It is also noticeable that vasoactive intestinal polypeptide particularly increases REM sleep. (ii) Orexin and neuropeptide S have been shown to induce wakefulness. (iii) Neuropeptide Y and substance P may have a bidirectional function as they can produce both arousal and sleep-inducing effects. This review will introduce the distribution of various neuropeptides in the brain and summarize the roles of different neuropeptides in sleep–wake regulation. We aim to lay the foundation for future studies to uncover the mechanisms that underlie the initiation, maintenance, and end of sleep–wake states.
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Reduced REM sleep: a potential biomarker for epilepsy – a retrospective case-control study. Seizure 2022; 98:27-33. [DOI: 10.1016/j.seizure.2022.03.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/15/2022] [Accepted: 03/30/2022] [Indexed: 11/24/2022] Open
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Omichi C, Kadotani H, Sumi Y, Ubara A, Nishikawa K, Matsuda A, Ozeki Y. Prolonged Sleep Latency and Reduced REM Latency Are Associated with Depressive Symptoms in a Japanese Working Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042112. [PMID: 35206296 PMCID: PMC8872621 DOI: 10.3390/ijerph19042112] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 02/01/2022] [Accepted: 02/10/2022] [Indexed: 12/26/2022]
Abstract
Background: Examining the relationship between sleep and depression may be important for understanding the aetiology of affective disorders. Most studies that use electroencephalography (EEG) to objectively assess sleep have been conducted using polysomnography in the laboratory. Impaired sleep continuity, including prolonged sleep latency and changes in rapid eye movement (REM) sleep, have been reported to be associated with depression in clinical settings. Here, we aimed to use home EEG to analyse the association between sleep and depressive symptoms. Methods: We performed a cross-sectional epidemiological study in a large Japanese working population to identify the EEG parameters associated with depressive symptoms based on the results of a questionnaire survey and home EEG measurements using 1-channel (1-Ch) EEG. Results: The study included 650 Japanese patients (41.2% male, 44.7 ± 11.5 years) who underwent home EEG monitoring along with the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms. Logistic regression analysis revealed that depressive symptoms (PHQ-9 ≥ 10) were associated with sleep latency (odds ratio (OR) 1.02; 95% confidence interval (CI): 1.00–1.04) and REM latency (OR, 0.99; 95% CI: 0.99–1.00). Conclusions: Our results suggest that depressive symptoms are associated with prolonged sleep latency and reduced REM latency in a Japanese working population. The 1-Ch EEG may be a useful tool to monitor sleep and screen depression/depressive symptoms in non-clinical settings.
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Affiliation(s)
- Chie Omichi
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
- Department of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kamigyo-ku, Kyoto 602-8566, Japan
- Department of Hygiene and Public Health, Osaka Medical and Pharmaceutical University, 2-7, Daigaku-machi, Takatsuki 569-8686, Japan
| | - Hiroshi Kadotani
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
- Correspondence: or ; Tel.: +81-77-548-2291
| | - Yukiyoshi Sumi
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
| | - Ayaka Ubara
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
- Graduate School of Psychology, Doshisha University, Kyoto 610-0394, Japan
- Japan Society for the Promotion of Science, Research Fellowships, Tokyo 102-0083, Japan
| | - Kohei Nishikawa
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
- Japan CBT Center, CG Building F4, 3-12 Chuo-cho, Hikone 522-0063, Japan
| | - Arichika Matsuda
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
| | - Yuji Ozeki
- Department of Psychiatry, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu City 520-2192, Japan; (C.O.); (Y.S.); (A.U.); (K.N.); (A.M.); (Y.O.)
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Li X, Wang Q, Wu D, Zhang DW, Li SC, Zhang SW, Chen X, Li W. The effect of a novel anticonvulsant chemical Q808 on gut microbiota and hippocampus neurotransmitters in pentylenetetrazole-induced seizures in rats. BMC Neurosci 2022; 23:7. [PMID: 35114941 PMCID: PMC8812211 DOI: 10.1186/s12868-022-00690-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 01/28/2022] [Indexed: 11/18/2022] Open
Abstract
Background The gut microbiota can modulate brain function and behavior and is increasingly recognized as an important factor in mediating the risk of epilepsy and the effects of seizure interventions. Drug therapy is one of the factors that influence the composition of the intestinal microbiota. Q808 is an innovative chemical with strong anticonvulsant activity and low neurotoxicity. However, studies evaluating the effect of Q808 on gut microbial communities are lacking. In this study, we aimed to evaluate the anticonvulsant activity of Q808 on a pentylenetetrazol (PTZ)—induced seizure model and analyze and compare the intestinal microbiota composition of non-PTZ vehicle control group, the PTZ-induced seizure model rats with and without Q808, through 16S rDNA sequencing. Neurotransmitter levels in the hippocampus were quantitatively estimated using HPLC–MS. Results The results suggest that Q808 effectively alleviates seizures in chronic PTZ-kindled model rats. Additionally, based on the analyzed abundance of the gut microbiota, dysbacteriosis of model rats was found to be corrected after Q808 treatment at the phylum level. The unique bacterial taxa (e.g., Lactobacillus) that are associated with acetylcholine production, were significantly increased. Several short-chain fatty acids (SCFAs)-producing bacteria, including Roseburia, Alloprevptella, Prevotellaceae_NK3B31_group, Prevotellaceae_UCG-001, and Prevotella_9, were enriched. In the hippocampus, the contents of acetylcholine increased, whereas the levels of 3-methoxytyramine, glutamine, and 5-hydroxyindole acetic acid (5-HIAA) decreased after Q808 treatment. Conclusions This study demonstrates that Q808 can be used to remodel the dysbiosis of the gut microbiome and influence neurotransmitter levels in the hippocampus of PTZ-induced seizure model rats. We hope that these novel findings prompt further research on the interaction between gut microbiota and seizures and the mechanism of Q808. Supplementary Information The online version contains supplementary material available at 10.1186/s12868-022-00690-3.
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Affiliation(s)
- Xiang Li
- Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China
| | - Qing Wang
- Academy of Chinese Medical Sciences of Jilin Province, Changchun, Jilin, China
| | - Di Wu
- Academy of Chinese Medical Sciences of Jilin Province, Changchun, Jilin, China
| | - Dian-Wen Zhang
- Academy of Chinese Medical Sciences of Jilin Province, Changchun, Jilin, China
| | | | - Si-Wei Zhang
- Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China
| | - Xia Chen
- Department of Pharmacology, College of Basic Medical Sciences, Jilin University, Changchun, Jilin, China.
| | - Wei Li
- Academy of Chinese Medical Sciences of Jilin Province, Changchun, Jilin, China.
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Yao Y, Jia Y, Wen Y, Cheng B, Cheng S, Liu L, Yang X, Meng P, Chen Y, Li C, Zhang J, Zhang Z, Pan C, Zhang H, Wu C, Wang X, Ning Y, Wang S, Zhang F. Genome-Wide Association Study and Genetic Correlation Scan Provide Insights into Its Genetic Architecture of Sleep Health Score in the UK Biobank Cohort. Nat Sci Sleep 2022; 14:1-12. [PMID: 35023977 PMCID: PMC8747788 DOI: 10.2147/nss.s326818] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 12/19/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Most previous genetic studies of sleep behaviors were conducted individually, without comprehensive consideration of the complexity of various sleep behaviors. Our aim is to identify the genetic architecture and potential biomarker of the sleep health score, which more powerfully represents overall sleep traits. PATIENTS AND METHODS We conducted a genome-wide association study (GWAS) of sleep health score (overall assessment of sleep duration, snoring, insomnia, chronotype, and daytime dozing) using 336,463 participants from the UK Biobank. Proteome-wide association study (PWAS) and transcriptome-wide association study (TWAS) were then performed to identify candidate genes at the protein and mRNA level, respectively. We finally used linkage disequilibrium score regression (LDSC) to estimate the genetic correlations between sleep health score and other functionally relevance traits. RESULTS GWAS identified multiple variants near known candidate genes associated with sleep health score, such as MEIS1, FBXL13, MED20 and SMAD5. HDHD2 (PPWAS = 0.0146) and GFAP (PPWAS = 0.0236) were identified associated with sleep health score by PWAS. TWAS identified ORC4 (PTWAS = 0.0212) and ZNF732 (PTWAS = 0.0349) considering mRNA expression level. LDSC found significant genetic correlations of sleep health score with 3 sleep behaviors (including insomnia, snoring, dozing), 4 psychiatry disorders (major depressive disorder, attention deficit/hyperactivity disorder, schizophrenia, autism spectrum disorder), and 9 plasma protein (such as Stabilin-1, Stromelysin-2, Cytochrome c) (all LDSC PLDSC < 0.05). CONCLUSION Our results advance the comprehensive understanding of the aetiology and genetic architecture of the sleep health score, refine the understanding of the relationship of sleep health score with other traits and diseases, and may serve as potential targets for future mechanistic studies of sleep phenotype.
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Affiliation(s)
- Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Cuiyan Wu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Xi Wang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Yujie Ning
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Sen Wang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
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Li Z, Zhao X, Feng L, Zhao Y, Pan W, Liu Y, Yin M, Yue Y, Fang X, Liu G, Gao S, Zhang X, Huang NE, Du X, Chen R. Can Daytime Transcranial Direct Current Stimulation Treatment Change the Sleep Electroencephalogram Complexity of REM Sleep in Depressed Patients? A Double-Blinded, Randomized, Placebo-Controlled Trial. Front Psychiatry 2022; 13:851908. [PMID: 35664468 PMCID: PMC9157570 DOI: 10.3389/fpsyt.2022.851908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES The purpose of this study was to determine the effects of daytime transcranial direct current stimulation (tDCS) on sleep electroencephalogram (EEG) in patients with depression. METHODS The study was a double-blinded, randomized, controlled clinical trial. A total of 37 patients diagnosed with a major depression were recruited; 19 patients (13 females and 6 males mean age 44.79 ± 15.25 years) received tDCS active stimulation and 18 patients (9 females and 9 males; mean age 43.61 ± 11.89 years) received sham stimulation. Ten sessions of daytime tDCS were administered with the anode over F3 and the cathode over F4. Each session delivered a 2 mA current for 30 min per 10 working days. Hamilton-24 and Montgomery scales were used to assess the severity of depression, and polysomnography (PSG) was used to assess sleep structure and EEG complexity. Eight intrinsic mode functions (IMFs) were computed from each EEG signal in a channel. The sample entropy of the cumulative sum of the IMFs were computed to acquire high-dimensional multi-scale complexity information of EEG signals. RESULTS The complexity of Rapid Eye Movement (REM) EEG signals significantly decreased intrinsic multi-scale entropy (iMSE) (1.732 ± 0.057 vs. 1.605 ± 0.046, P = 0.0004 in the case of the C4 channel, IMF 1:4 and scale 7) after tDCS active stimulation. The complexity of the REM EEG signals significantly increased iMSE (1.464 ± 0.101 vs. 1.611 ± 0.085, P = 0.001 for C4 channel, IMF 1:4 and scale 7) after tDCS sham stimulation. There was no significant difference in the Hamilton-24 (P = 0.988), Montgomery scale score (P = 0.726), and sleep structure (N1% P = 0.383; N2% P = 0.716; N3% P = 0.772) between the two groups after treatment. CONCLUSION Daytime tDCS changed the complexity of sleep in the REM stage, and presented as decreased intrinsic multi-scale entropy, while no changes in sleep structure occurred. This finding indicated that daytime tDCS may be an effective method to improve sleep quality in depressed patients. Trial registration This trial has been registered at the ClinicalTrials.gov (protocol ID: TCHIRB-10409114, in progress).
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Affiliation(s)
- Zhe Li
- Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China.,Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xueli Zhao
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Lingfang Feng
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yu Zhao
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Wen Pan
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Ying Liu
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Ming Yin
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yan Yue
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiaojia Fang
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Guorui Liu
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Shigeng Gao
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiaobin Zhang
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | | | - Xiangdong Du
- Sleep Center, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Rui Chen
- Sleep Center, The Second Affiliated Hospital of Soochow University, Suzhou, China
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Li Y, Buys N, Li L, Sun J. Sleep Quality and Its Determinants Among Type 2 Diabetes Patients with Comorbid Metabolic Syndrome. Diabetes Metab Syndr Obes 2022; 15:3469-3482. [PMID: 36388064 PMCID: PMC9651014 DOI: 10.2147/dmso.s386299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 10/21/2022] [Indexed: 11/09/2022] Open
Abstract
PURPOSE The prevalence of poor sleep quality in patients with diabetes was higher than the general population. This study aimed to explore risk factors for not only poor sleep quality, but also long sleep latency, short sleep duration and low sleep efficiency, in type 2 diabetes patients (T2DM) with comorbid metabolic syndrome (MS). PATIENTS AND METHODS A total of 281 patients aged 18-75 years were enrolled from Ningbo First Hospital during October 2021 to March 2022. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). Sleep latency, sleep duration and sleep efficiency were obtained by a response to the questionnaire. Descriptive, independent two-sample t-test, Chi-square test and multiple logistic regression were conducted using SPSS Version 28. RESULTS The prevalence of poor sleep quality in T2DM with comorbid MS patients was 59.10%. The factors significantly associated with poor sleep quality were depression symptoms (OR = 3.10, 95% CI: 1.38 to 6.96, P = 0.006), poor quality of life (OR = 2.49, 95% CI: 1.24 to 4.99, P = 0.010), and age (OR = 1.07, 95% CI: 1.04 to 1.10, P < 0.001). The factor significantly associated with long sleep latency was depression symptoms (OR = 2.19, 95% CI: 1.15 to 4.16, P = 0.017). The factors significantly related to short sleep duration were depression symptoms (OR = 2.56, 95% CI: 1.31 to 5.00, P = 0.006) and age (OR = 1.05, 95% CI: 1.02 to 1.08, P = 0.002). The factor significantly related to short sleep efficiency was age (OR = 1.03, 95% CI: 1.01 to 1.06, P = 0.019). CONCLUSION This study found that depression symptoms, together with poor quality of life, and increasing age were associated with poor sleep quality. Symptoms of depression were related to long sleep latency and short sleep duration. The increasing age was associated with short sleep duration and low sleep efficiency.
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Affiliation(s)
- Yanni Li
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Q422, Australia
| | - Nicholas Buys
- Institute for Integrated Intelligence and Systems, Griffith University, Gold Coast, Queensland, Q4215, Australia
| | - Li Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, 315010, People’s Republic of China
- Correspondence: Li Li, Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, 315010, People’s Republic of China, Tel +86 13757426626, Email
| | - Jing Sun
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Q422, Australia
- Institute for Integrated Intelligence and Systems, Griffith University, Gold Coast, Queensland, Q4215, Australia
- Jing Sun, School of Medicine and Dentistry, Griffith University, G40 8.23, Gold Coast, Queensland, Q4222, Australia, Tel +61 7 567 80924, Email
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Chronic mild stress paradigm as a rat model of depression: facts, artifacts, and future perspectives. Psychopharmacology (Berl) 2022; 239:663-693. [PMID: 35072761 PMCID: PMC8785013 DOI: 10.1007/s00213-021-05982-w] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 09/15/2021] [Indexed: 02/06/2023]
Abstract
RATIONALE The chronic mild stress (CMS) paradigm was first described almost 40 years ago and has become a widely used model in the search for antidepressant drugs for major depression disorder (MDD). It has resulted in the publication of almost 1700 studies in rats alone. Under the original CMS procedure, the expression of an anhedonic response, a key symptom of depression, was seen as an essential feature of both the model and a depressive state. The prolonged exposure of rodents to unpredictable/uncontrollable mild stressors leads to a reduction in the intake of palatable liquids, behavioral despair, locomotor inhibition, anxiety-like changes, and vegetative (somatic) abnormalities. Many of the CMS studies do not report these patterns of behaviors, and they often fail to include consistent molecular, neuroanatomical, and physiological phenotypes of CMS-exposed animals. OBJECTIVES To critically review the CMS studies in rats so that conceptual and methodological flaws can be avoided in future studies. RESULTS Analysis of the literature supports the validity of the CMS model and its impact on the field. However, further improvements could be achieved by (i) the stratification of animals into 'resilient' and 'susceptible' cohorts within the CMS animals, (ii) the use of more refined protocols in the sucrose test to mitigate physiological and physical artifacts, and (iii) the systematic evaluation of the non-specific effects of CMS and implementation of appropriate adjustments within the behavioral tests. CONCLUSIONS We propose methodological revisions and the use of more advanced behavioral tests to refine the rat CMS paradigm, which offers a valuable tool for developing new antidepressant medications.
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Song B, Zhu JC. Mechanisms of the Rapid Effects of Ketamine on Depression and Sleep Disturbances: A Narrative Review. Front Pharmacol 2022; 12:782457. [PMID: 34970147 PMCID: PMC8712478 DOI: 10.3389/fphar.2021.782457] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/22/2021] [Indexed: 12/24/2022] Open
Abstract
Recently, sleep has been recognized as a crucial factor for health and longevity. The daily sleep/wake cycle provides the basis of biorhythm, which controls whole-body homeostasis and homeodynamics. Sleep disturbances can contribute to several physical and psychological disorders, including cardiovascular disease, obesity, depression, and cognitive dysfunction. The clinical use of the N-methyl-D-aspartate (NMDA) receptor antagonist ketamine began in the 1970s. Over the years, physicians have used it as a short-acting anesthetic, analgesic, and antidepressant; however, in-depth research has revealed new possible applications for ketamine, such as for treating sleep disturbances and circadian rhythm disorders. The aim of this narrative review is to examine the literature on the mechanistic role of the antidepressant ketamine in affecting sleep disturbance. Additionally, we discuss the pharmacologic and pharmacokinetic mechanisms of ketamine as an antidepressant and the predictive biomarkers for ketamine’s effect on sleep and cognitive function.
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Affiliation(s)
- Bijia Song
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jun-Chao Zhu
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China
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