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Kong SDX, Espinosa N, McKinnon AC, Gordon CJ, Wassing R, Hoyos CM, Hickie IB, Naismith SL. Different heart rate variability profile during sleep in mid-later life adults with remitted early-onset versus late-onset depression. J Affect Disord 2024; 358:175-182. [PMID: 38701901 DOI: 10.1016/j.jad.2024.04.054] [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: 12/12/2023] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND In mid-later life adults, early-onset and late-onset (i.e., onset ≥50 years) depression appear to be underpinned by different pathophysiology yet have not been examined in relation to autonomic function. Sleep provides an opportunity to examine the autonomic nervous system as the physiology changes across the night. Hence, we aimed to explore if autonomic profile is altered in mid-later life adults with remitted early-onset, late-onset and no history of lifetime depression. METHODS Participants aged 50-90 years (n = 188) from a specialised clinic underwent a comprehensive clinical assessment and completed an overnight polysomnography study. General Linear Models were used to examine the heart rate variability differences among the three groups for four distinct sleep stages and the wake after sleep onset. All analyses controlled for potential confounders - age, sex, current depressive symptoms and antidepressant usage. RESULTS For the wake after sleep onset, mid-later life adults with remitted early-onset depression had reduced standard deviation of Normal to Normal intervals (SDNN; p = .014, d = -0.64) and Shannon Entropy (p = .004, d = -0.46,) than those with no history of lifetime depression. Further, the late-onset group showed a reduction in high-frequency heart rate variability (HFn.u.) during non-rapid eye movement sleep stage 2 (N2; p = .005, d = -0.53) and non-rapid eye movement sleep stage 3 (N3; p = .009, d = -0.55) when compared to those with no lifetime history. LIMITATIONS Causality between heart rate variability and depression cannot be derived in this cross-sectional study. Longitudinal studies are needed to examine the effects remitted depressive episodes on autonomic function. CONCLUSION The findings suggest differential autonomic profile for remitted early-onset and late-onset mid-later life adults during sleep stages and wake periods. The differences could potentially serve as peripheral biomarkers in conjunction with more disease-specific markers of depression to improve diagnosis and prognosis.
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Affiliation(s)
- Shawn D X Kong
- School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia.
| | - Nicole Espinosa
- School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia
| | - Andrew C McKinnon
- School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia; Race Against Dementia, Dementia Australia Research Foundation Initiative, Dementia Australia, Australia
| | - Christopher J Gordon
- CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia; Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Glebe, NSW 2037, Australia; Faculty of Medicine and Health, Royal North Shore Hospital, Sydney 2050, Australia
| | - Rick Wassing
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Glebe, NSW 2037, Australia; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia; Sydney Local Health District, Sydney, NSW, Australia
| | - Camilla M Hoyos
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Macquarie University, Glebe, NSW 2037, Australia; School of Psychological Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
| | - Ian B Hickie
- Youth Mental Health Team, Brain and Mind Centre, The University of Sydney, Camperdown, NSW, Australia
| | - Sharon L Naismith
- School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, NSW 2050, Australia; Charles Perkins Centre, University of Sydney, Camperdown, NSW 2050, Australia; CogSleep, Australian National Health and Medical Research Council Centre of Research Excellence, Australia
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2
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Murata Y, Yoshimitsu S, Senoura C, Araki T, Kanayama S, Mori M, Ohe K, Mine K, Enjoji M. Sleep rebound leads to marked recovery of prolonged sleep deprivation-induced adversities in the stress response and hippocampal neuroplasticity of male rats. J Affect Disord 2024; 355:478-486. [PMID: 38574868 DOI: 10.1016/j.jad.2024.04.008] [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: 09/14/2023] [Revised: 03/26/2024] [Accepted: 04/01/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Sleep disturbances are not only frequent symptoms, but also risk factors for major depressive disorder. We previously reported that depressed patients who experienced "Hypersomnia" showed a higher and more rapid response rate under paroxetine treatment, but the underlying mechanism remains unclear. The present study was conducted to clarify the beneficial effects of sleep rebound through an experimental "Hypersomnia" rat model on glucocorticoid and hippocampal neuroplasticity associated with antidepressive potency. METHODS Thirty-four male Sprague-Dawley rats were subjected to sham treatment, 72-h sleep deprivation, or sleep deprivation and subsequent follow-up for one week. Approximately half of the animals were sacrificed to evaluate adrenal weight, plasma corticosterone level, hippocampal content of mRNA isoforms, and protein of the brain-derived neurotrophic factor (Bdnf) gene. In the other half of the rats, Ki-67- and doublecortin (DCX)-positive cells in the hippocampus were counted via immunostaining to quantify adult neurogenesis. RESULTS Prolonged sleep deprivation led to adrenal hypertrophy and an increase in the plasma corticosterone level, which had returned to normal after one week follow-up. Of note, sleep deprivation-induced decreases in hippocampal Bdnf transcripts containing exons II, IV, VI, and IX and BDNF protein levels, Ki-67-(+)-proliferating cells, and DCX-(+)-newly-born neurons were not merely reversed, but overshot their normal levels with sleep rebound. LIMITATIONS The present study did not record electroencephalogram or assess behavioral changes of the sleep-deprived rats. CONCLUSIONS The present study demonstrated that prolonged sleep deprivation-induced adversities are reversed or recovered by sleep rebound, which supports "Hypersomnia" in depressed patients as having a beneficial pharmacological effect.
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Affiliation(s)
- Yusuke Murata
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan.
| | - Sakuya Yoshimitsu
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Chiyo Senoura
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Toshiki Araki
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Saki Kanayama
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Masayoshi Mori
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Kenji Ohe
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
| | - Kazunori Mine
- Faculty of Neurology and Psychiatry, BOOCS CLINIC FUKUOKA, 6F Random Square Bldg., 6-18, Tenya-Machi, Hakata-ku, Fukuoka 812-0025, Japan
| | - Munechika Enjoji
- Department of Pharmacotherapeutics, Faculty of Pharmaceutical Sciences, Fukuoka University, 8-19-1, Nanakuma, Jonan-ku, Fukuoka 814-0180, Japan
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3
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Ujma PP, Bódizs R. Sleep alterations as a function of 88 health indicators. BMC Med 2024; 22:134. [PMID: 38519958 PMCID: PMC10960465 DOI: 10.1186/s12916-024-03358-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 03/14/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND Alterations in sleep have been described in multiple health conditions and as a function of several medication effects. However, evidence generally stems from small univariate studies. Here, we apply a large-sample, data-driven approach to investigate patterns between in sleep macrostructure, quantitative sleep EEG, and health. METHODS We use data from the MrOS Sleep Study, containing polysomnography and health data from a large sample (N = 3086) of elderly American men to establish associations between sleep macrostructure, the spectral composition of the electroencephalogram, 38 medical disorders, 2 health behaviors, and the use of 48 medications. RESULTS Of sleep macrostructure variables, increased REM latency and reduced REM duration were the most common findings across health indicators, along with increased sleep latency and reduced sleep efficiency. We found that the majority of health indicators were not associated with objective EEG power spectral density (PSD) alterations. Associations with the rest were highly stereotypical, with two principal components accounting for 85-95% of the PSD-health association. PC1 consists of a decrease of slow and an increase of fast PSD components, mainly in NREM. This pattern was most strongly associated with depression/SSRI medication use and age-related disorders. PC2 consists of changes in mid-frequency activity. Increased mid-frequency activity was associated with benzodiazepine use, while decreases were associated with cardiovascular problems and associated medications, in line with a recently proposed hypothesis of immune-mediated circadian demodulation in these disorders. Specific increases in sleep spindle frequency activity were associated with taking benzodiazepines and zolpidem. Sensitivity analyses supported the presence of both disorder and medication effects. CONCLUSIONS Sleep alterations are present in various health conditions.
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Affiliation(s)
| | - Róbert Bódizs
- Institute of Behavioural Sciences, Semmelweis University, Budapest, Hungary
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4
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Eyjólfsdóttir SG, Trinka E, Höller Y. Shorter duration of slow wave sleep is related to symptoms of depression in patients with epilepsy. Epilepsy Behav 2023; 149:109515. [PMID: 37944285 DOI: 10.1016/j.yebeh.2023.109515] [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: 09/27/2023] [Revised: 10/24/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
Slow wave sleep duration and spectral abnormalities are related to both epilepsy and depression, but it is unclear how depressive symptoms in patients with epilepsy are affected by slow wave sleep duration and clinical factors, and how the spectral characteristics of slow wave sleep reflect a potential interaction of epilepsy and depression. Long-term video-EEG monitoring was conducted in 51 patients with focal epilepsy, 13 patients with generalized epilepsy, and 9 patients without epilepsy. Slow wave sleep segments were manually marked in the EEG and duration as well as EEG power spectra were extracted. Depressive symptoms were documented with the Beck Depression Inventory (BDI). At least mild depressive symptoms (BDI > 9) were found among 23 patients with focal epilepsy, 5 patients with generalised epilepsy, and 6 patients who had no epilepsy diagnosis. Slow wave sleep duration was shorter for patients with at least mild depressive symptoms (p =.004), independently from epilepsy diagnosis, antiseizure medication, age, and sex. Psychoactive medication was associated with longer slow wave sleep duration (p =.008). Frontal sigma band power (13-15 Hz) during slow wave sleep was higher for patients without epilepsy and without depressive symptoms as compared to patients without depressive symptoms but with focal epilepsy (p =.005). Depressive symptoms affect slow wave sleep duration of patients with epilepsy similarly as in patients without epilepsy. Since reduced slow wave sleep can increase the likelihood of seizure occurrence, these results stress the importance of adequate treatment for patients with epilepsy who experience depressive symptoms.
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Affiliation(s)
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience Salzburg, Austria. Member of the European Reference Network EpiCARE. Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience Salzburg, Austria
| | - Yvonne Höller
- Faculty of Psychology, University of Akureyri, Akureyri, Iceland.
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5
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Vos CF, Birkenhäger TK, Nolen WA, van den Broek WW, ter Hark SE, Schellekens AF, Verkes RJ, Janzing JG. The Relationship of Early Sleep Improvement With Response to Pharmacotherapy in Unipolar Psychotic Depression. J Clin Psychopharmacol 2023; 43:486-492. [PMID: 37930199 PMCID: PMC10662627 DOI: 10.1097/jcp.0000000000001756] [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: 03/24/2023] [Accepted: 07/08/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Since insomnia and depression are interrelated, improved sleep early in antidepressant pharmacotherapy may predict a positive treatment outcome. We investigated whether early insomnia improvement (EII) predicted treatment outcome in psychotic depression (PD) and examined if there was an interaction effect between EII and treatment type to assess if findings were treatment-specific. METHODS This study is a secondary analysis of a randomized trial comparing 7 weeks treatment with the antidepressants venlafaxine, imipramine and venlafaxine plus the antipsychotic quetiapine in PD ( n = 114). Early insomnia improvement, defined as ≥20% reduced insomnia after 2 weeks, was assessed by the Hamilton Rating Scale for Depression (HAM-D-17). Associations between EII and treatment outcome were examined using logistic regressions. Subsequently, we added interaction terms between EII and treatment type to assess interaction effects. The predictive value of EII was compared with early response on overall depression (≥20% reduced HAM-D-17 score after 2 weeks). RESULTS EII was associated with response (odds ratio [OR], 7.9; 95% confidence interval [CI], 2.7-23.4; P = <0.001), remission of depression (OR, 6.1; 95% CI, 1.6-22.3; P = 0.009), and remission of psychosis (OR, 4.1; 95% CI, 1.6-10.9; P = 0.004). We found no interaction effects between EII and treatment type on depression outcome. Early insomnia improvement and early response on overall depression had a comparable predictive ability for treatment outcome. CONCLUSIONS Early insomnia improvement was associated with a positive outcome in pharmacotherapy of PD, regardless of the medication type. Future studies are needed to confirm our findings and to examine the generalizability of EII as predictor in treatment of depression.
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Affiliation(s)
- Cornelis F. Vos
- From the Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Tom K. Birkenhäger
- Department of Psychiatry, Erasmus University Medical Centre, Rotterdam, the Netherlands
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
| | - Willem A. Nolen
- Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | | | - Sophie E. ter Hark
- From the Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Arnt F.A. Schellekens
- From the Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Robbert-Jan Verkes
- From the Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Joost G.E. Janzing
- From the Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
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6
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Alitalo O, González-Hernández G, Rosenholm M, Kohtala P, Matsui N, Müller HK, Theilmann W, Klein A, Kärkkäinen O, Rozov S, Rantamäki T, Kohtala S. Linking Hypothermia and Altered Metabolism with TrkB Activation. ACS Chem Neurosci 2023; 14:3212-3225. [PMID: 37551888 PMCID: PMC10485900 DOI: 10.1021/acschemneuro.3c00350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 07/13/2023] [Indexed: 08/09/2023] Open
Abstract
Many mechanisms have been proposed to explain acute antidepressant drug-induced activation of TrkB neurotrophin receptors, but several questions remain. In a series of pharmacological experiments, we observed that TrkB activation induced by antidepressants and several other drugs correlated with sedation, and most importantly, coinciding hypothermia. Untargeted metabolomics of pharmacologically dissimilar TrkB activating treatments revealed effects on shared bioenergetic targets involved in adenosine triphosphate (ATP) breakdown and synthesis, demonstrating a common perturbation in metabolic activity. Both activation of TrkB signaling and hypothermia were recapitulated by administration of inhibitors of glucose and lipid metabolism, supporting a close relationship between metabolic inhibition and neurotrophic signaling. Drug-induced TrkB phosphorylation was independent of electroencephalography slow-wave activity and remained unaltered in knock-in mice with the brain-derived neurotrophic factor (BDNF) Val66Met allele, which have impaired activity-dependent BDNF release, alluding to an activation mechanism independent from BDNF and neuronal activity. Instead, we demonstrated that the active maintenance of body temperature prevents activation of TrkB and other targets associated with antidepressants, including p70S6 kinase downstream of the mammalian target of rapamycin (mTOR) and glycogen synthase kinase 3β (GSK3β). Increased TrkB, GSK3β, and p70S6K phosphorylation was also observed during recovery sleep following sleep deprivation, when a physiological temperature drop is known to occur. Our results suggest that the changes in bioenergetics and thermoregulation are causally connected to TrkB activation and may act as physiological regulators of signaling processes involved in neuronal plasticity.
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Affiliation(s)
- Okko Alitalo
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
| | - Gemma González-Hernández
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
| | - Marko Rosenholm
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
- Center
for Translational Neuromedicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-2200, Denmark
| | - Piia Kohtala
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
- Department
of Psychiatry, Weill Cornell Medicine, New York, New York 10021, United States
| | - Nobuaki Matsui
- Faculty
of Pharmacy, Gifu University of Medical
Science, 4-3-3 Nijigaoka,
Kani, Gifu 509-0293, Japan
| | - Heidi Kaastrup Müller
- Translational
Neuropsychiatry Unit, Department of Clinical Medicine, Aarhus University, Aarhus N 8200, Denmark
| | - Wiebke Theilmann
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
| | - Anders Klein
- Novo
Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen DK-2200, Denmark
- Department
of Drug Design & Pharmacology, University
of Copenhagen, Copenhagen DK-2100, Denmark
| | - Olli Kärkkäinen
- School
of Pharmacy, University of Eastern Finland, Kuopio 70210, Finland
- Afekta
Technologies Ltd., Kuopio 70210, Finland
| | - Stanislav Rozov
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
| | - Tomi Rantamäki
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
| | - Samuel Kohtala
- Laboratory
of Neurotherapeutics, Drug Research Program, Division of Pharmacology
and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki 00014, Finland
- SleepWell
Research Program, Faculty of Medicine, University
of Helsinki, Helsinki 00014, Finland
- Department
of Psychiatry, Weill Cornell Medicine, New York, New York 10021, United States
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7
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Bakker MH, Hugtenburg JG, Smits MG, van der Horst HE, Slottje P. Off-label low dose amitriptyline for insomnia disorder: Patient-reported outcomes. Pharmacoepidemiol Drug Saf 2023; 32:435-445. [PMID: 36309966 DOI: 10.1002/pds.5561] [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: 06/23/2022] [Revised: 09/15/2022] [Accepted: 10/26/2022] [Indexed: 11/12/2022]
Abstract
PURPOSE Low dose amitriptyline is prescribed off-label to improve sleep maintenance in patients with insomnia disorder. Data on treatment outcomes are limited. We aimed to assess patient-reported treatment effect and side effects of low dose amitriptyline for insomnia in routine care data. METHODS Cross-sectional study: Seven hundred fifty-two consecutive patients with insomnia disorder having sleep maintenance problems were treated in an outpatient sleep clinic with low dose amitriptyline (10-20 mg based on self-titration). Treatment was intended to improve sleep maintenance. Before the planned follow-up consultation (approximately 6 weeks after start treatment) patients completed an online treatment evaluation questionnaire. Treatment (dose, adherence), sleep, fatigue, satisfaction and side effects were assessed by multiple-choice questions with room for free-text elaboration. RESULTS 53.7% of the patients reported to use amitriptyline up to 10 mg/day, 42.9% used a self-increased dose of mostly 20 mg/day, while 3.5% had discontinued treatment. 73.9% of the total study population reported improvement of sleep maintenance, 31.3% improved sleep onset, 35.2% improved daytime fatigue, and 45.8% reported to be (very) satisfied with treatment results. 66.1% reported at least one side effect. The reported side effects were generally the already known side effects of amitriptyline. CONCLUSION These patient-reported outcomes support the clinical observations that low dose amitriptyline improves sleep maintenance on the short term and that it is generally well tolerated. This further justifies randomized controlled trials in patients with insomnia disorder and sleep maintenance problems to assess the effectiveness and safety of low dose amitriptyline on the short and long term.
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Affiliation(s)
- Mette H Bakker
- Department of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Research programme Quality of Care, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Jacqueline G Hugtenburg
- Research programme Quality of Care, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Marcel G Smits
- Multidisciplinary Expertise Centre for Sleep-Wake Disorders and Chronobiology, Gelderse Vallei Hospital, Ede, Netherlands
| | - Henriëtte E van der Horst
- Department of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Research programme Quality of Care, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Pauline Slottje
- Department of General Practice, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Research programme Quality of Care, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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8
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KARA M, KILIÇ S. Evaluation of polysomnography changes in patients using antidepressants. JOURNAL OF HEALTH SCIENCES AND MEDICINE 2023. [DOI: 10.32322/jhsm.1216676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
Abstract
Aim: In patients followed up with sleep disorders and receiving antidepressant treatment, the choice of antidepressant should be appropriate to the characteristics of the patient and the drug. The aim of this study is to show the effects of antidepressant drug selection on polysomnography results.
Material and Method: This study was planned retrospectively and was conducted by scanning patient files. Between 01.06.2018 and 01.06.2022, the files of patients who underwent polysomnography in the sleep laboratory of our hospital and were using antidepressants were scanned. Differences between antidepressant groups and polysomnography results were analyzed with IBM SPSS v23.
Results: 103 patients (43 women/60 men) were included in the study. It was determined that 56 of these patients used selective serotonin reuptake inhibitors and 47 of them used serotonin and norepinephrine reuptake inhibitors. Yates correction was used in the comparison of gender according to the groups, and there was no statistically significant difference between the distributions of gender according to the groups (p=0.248). According to the drug groups, the results of the polysomnography examined in the study do not differ according to the groups.
Conclusion: It was shown that the antidepressant groups examined in the study did not differ in terms of affecting the results of polysomnography. Other clinical characteristics of the patient can be taken into account in the selection of antidepressants in these groups.
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Affiliation(s)
- Mehmet KARA
- SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, KAYSERİ SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ
| | - Soner KILIÇ
- SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, KAYSERİ SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ
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9
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Hartmann S, Parrino L, Ensrud K, Stone KL, Redline S, Clark SR, Baumert M. Association between psychotropic medication and sleep microstructure: evidence from large population studies. J Clin Sleep Med 2023; 19:581-589. [PMID: 36546402 PMCID: PMC9978436 DOI: 10.5664/jcsm.10394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/03/2022] [Accepted: 11/04/2022] [Indexed: 12/24/2022]
Abstract
STUDY OBJECTIVES To assess the association between psychotropic medications and sleep microstructure in large community-based cohorts of older people. METHODS We analyzed overnight polysomnograms of 381 women from the Study of Osteoporotic Fractures (SOF) and 2,657 men from the Osteoporotic Fractures in Men Sleep Study (MrOS), who either used no psychotropic medication (n = 2,819), only benzodiazepines (n = 112), or only selective serotonin reuptake inhibitors (SSRI) (n = 107). Sleep microstructure (cyclic alternating pattern, CAP) was compared between the no medication group and psychotropic medication groups using the Mann-Whitney U test. Significant differences were investigated using multivariable linear regression adjusted for confounders. RESULTS CAP rate, arousal index, apnea-hypopnea index, and the frequency of slow, low-amplitude electroencephalography activation phases were significantly lower in MrOS participants using benzodiazepines than participants not taking psychotropic medication. SSRI users in MrOS experienced no altered sleep microstructure compared to those with no psychotropic use. SOF participants using benzodiazepines did not show similar associations with sleep microstructure. However, SSRI users from SOF had a significantly higher frequency of rapid, high-amplitude electroencephalography activation phases (A2 + 3) and periodic limb-movement index than participants not taking psychotropic medication. Multivariable linear regression adjusted for demographic, lifestyle, mood disorders, and health variables indicated additional significant associations between benzodiazepine usage and CAP rate and A2 + 3 index, respectively, in older men, and between CAP rate and SSRI usage in older women. CONCLUSIONS We identified significant associations between sleep microstructure and psychotropic drugs in MrOS and SOF, highlighting the importance of comprehensive sleep analysis, including CAP. Our results may improve understanding of the differences in sleep-wake mechanisms based on psychotropic usage. CLINICAL TRIAL REGISTRATION Registry: ClinicalTrials.gov; Title: Outcomes of Sleep Disorders in Older Men; Identifier: NCT00070681; URL: https://clinicaltrials.gov/ct2/show/record/NCT00070681. CITATION Hartmann S, Parrino L, Ensrud K, et al. Association between psychotropic medication and sleep microstructure: evidence from large population studies. J Clin Sleep Med. 2023;19(3):581-589.
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Affiliation(s)
- Simon Hartmann
- The University of Adelaide, School of Electrical and Electronic Engineering, Adelaide, South Australia, Australia
- The University of Adelaide, Discipline of Psychiatry, Adelaide Medical School, Adelaide, South Australia, Australia
| | - Liborio Parrino
- Sleep Disorders Center, Department of Neurology, University of Parma, Parma, Emilia-Romagna, Italy
| | - Kristine Ensrud
- Center for Chronic Disease Outcomes Research, Veterans Affairs Medical Center, Minneapolis, Minnesota
- Department of Medicine and Division of Epidemiology, University of Minnesota, Minneapolis, Minnesota
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, California
| | - Susan Redline
- Departments of Medicine and Neurology, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Scott R. Clark
- The University of Adelaide, Discipline of Psychiatry, Adelaide Medical School, Adelaide, South Australia, Australia
| | - Mathias Baumert
- The University of Adelaide, School of Electrical and Electronic Engineering, Adelaide, South Australia, Australia
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10
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Dell'Osso L, Lorenzi P, Nardi B, Carpita B, Benedetti F, Cremone IM. Occurrence of Terrifying Nightmares after Few Days of Mirtazapine Use in Elderly Patients. Case Rep Psychiatry 2023; 2023:8843206. [PMID: 37057036 PMCID: PMC10089773 DOI: 10.1155/2023/8843206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/11/2023] [Accepted: 03/24/2023] [Indexed: 04/15/2023] Open
Abstract
Introduction. Sleep disturbance and insomnia are some of the most frequent complaints in patients suffering from depression. Some common antidepressant with excitatory effects may worsen sleep qualities, whereas others (like mirtazapine), thanks to their antihistaminergic action, are associated with sedative properties and can quickly improve sleep quality. In the case of mirtazapine, even if its mechanisms of action on sleep remain controversial, beneficial changes in sleep pattern may be observable since the first dose and are associated with a faster onset of the antidepressive action. Case Presentation. Despite these documented beneficial effects, we reported five cases of elderly patients (age ranging from 69 to 79) with various diagnoses and comorbidities (severe or recurrent depression, general anxiety disorder, borderline personality disorder, and Parkinson's disease) assessed during clinical daily routine for whom the use of mirtazapine was linked to the onset of nightmares so impressive and dramatic that made it necessary to interrupt the treatment. Discussion. This peculiar side effect is still scarcely documented, and the literature on this topic remains conflicting; however, considering that the cases were collected in a short range of time, the exacerbation of nightmares caused by mirtazapine may be more frequent than previously believed. Furthermore, some common features shared by all the cases reported have been highlighted such as the onset of the nightmares being chronologically associated with the initiation of the therapy with mirtazapine, the disappearance with the interruption, the similar age range of all, and the occurrence of the episodes described during fall season.
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Affiliation(s)
- Liliana Dell'Osso
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Primo Lorenzi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Benedetta Nardi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Barbara Carpita
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Francesca Benedetti
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Ivan Mirko Cremone
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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11
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Teal LB, Ingram SM, Bubser M, McClure E, Jones CK. The Evolving Role of Animal Models in the Discovery and Development of Novel Treatments for Psychiatric Disorders. ADVANCES IN NEUROBIOLOGY 2023; 30:37-99. [PMID: 36928846 DOI: 10.1007/978-3-031-21054-9_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Historically, animal models have been routinely used in the characterization of novel chemical entities (NCEs) for various psychiatric disorders. Animal models have been essential in the in vivo validation of novel drug targets, establishment of lead compound pharmacokinetic to pharmacodynamic relationships, optimization of lead compounds through preclinical candidate selection, and development of translational measures of target occupancy and functional target engagement. Yet, with decades of multiple NCE failures in Phase II and III efficacy trials for different psychiatric disorders, the utility and value of animal models in the drug discovery process have come under intense scrutiny along with the widespread withdrawal of the pharmaceutical industry from psychiatric drug discovery. More recently, the development and utilization of animal models for the discovery of psychiatric NCEs has undergone a dynamic evolution with the application of the Research Domain Criteria (RDoC) framework for better design of preclinical to clinical translational studies combined with innovative genetic, neural circuitry-based, and automated testing technologies. In this chapter, the authors will discuss this evolving role of animal models for improving the different stages of the discovery and development in the identification of next generation treatments for psychiatric disorders.
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Affiliation(s)
- Laura B Teal
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Warren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, TN, USA
| | - Shalonda M Ingram
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Warren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, TN, USA
| | - Michael Bubser
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA
- Warren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, TN, USA
| | - Elliott McClure
- College of Pharmacy and Health Sciences, Lipscomb University, Nashville, TN, USA
| | - Carrie K Jones
- Department of Pharmacology, Vanderbilt University, Nashville, TN, USA.
- Warren Center for Neuroscience Drug Discovery, Vanderbilt University, Nashville, TN, USA.
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12
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Memory-enhancing properties of sleep depend on the oscillatory amplitude of norepinephrine. Nat Neurosci 2022; 25:1059-1070. [PMID: 35798980 PMCID: PMC9817483 DOI: 10.1038/s41593-022-01102-9] [Citation(s) in RCA: 75] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 05/19/2022] [Indexed: 01/11/2023]
Abstract
Sleep has a complex micro-architecture, encompassing micro-arousals, sleep spindles and transitions between sleep stages. Fragmented sleep impairs memory consolidation, whereas spindle-rich and delta-rich non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep promote it. However, the relationship between micro-arousals and memory-promoting aspects of sleep remains unclear. In this study, we used fiber photometry in mice to examine how release of the arousal mediator norepinephrine (NE) shapes sleep micro-architecture. Here we show that micro-arousals are generated in a periodic pattern during NREM sleep, riding on the peak of locus-coeruleus-generated infraslow oscillations of extracellular NE, whereas descending phases of NE oscillations drive spindles. The amplitude of NE oscillations is crucial for shaping sleep micro-architecture related to memory performance: prolonged descent of NE promotes spindle-enriched intermediate state and REM sleep but also associates with awakenings, whereas shorter NE descents uphold NREM sleep and micro-arousals. Thus, the NE oscillatory amplitude may be a target for improving sleep in sleep disorders.
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13
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Gardner W, Fuchs F, Durieux L, Bourgin P, Coenen VA, Döbrössy M, Lecourtier L. Slow Wave Sleep Deficits in the Flinders Sensitive Line Rodent Model of Depression: Effects of Medial Forebrain Bundle Deep-Brain Stimulation. Neuroscience 2022; 498:31-49. [PMID: 35750113 DOI: 10.1016/j.neuroscience.2022.06.023] [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: 03/05/2022] [Revised: 05/20/2022] [Accepted: 06/15/2022] [Indexed: 10/17/2022]
Abstract
Major Depressive Disorder (MDD) is an affective disorder typically accompanied by sleep disturbances. Deep brain stimulation (DBS) of the medial forebrain bundle (MFB) is an emerging intervention for treatment-resistant depression, but its effect on sleep has not been closely examined. Here we aimed to characterise sleep deficits in the Flinders sensitive line, an established rodent model of depression, and investigate the consequences of MFB stimulation on sleep-related phenotypes. Rats were implanted with bilateral stimulation electrodes in the MFB, surface electrodes to record electrocorticography and electromyography for sleep scoring and electrodes within the prelimbic cortex, nucleus accumbens (NAc) and dorsal hippocampus. Recordings of sleep and oscillatory activity were conducted prior to and following twenty-four hours of MFB stimulation. Behavioural anti-depressant effects were monitored using the forced swim test. Previously unreported abnormalities in the Flinders sensitive line rats were observed during slow wave sleep, including decreased circadian amplitude of its rhythm, a reduction in slow wave activity and elevated gamma band oscillations. Previously established rapid eye movement sleep deficits were replicated. MFB stimulation had anti-depressant effects on behavioural phenotype, but did not significantly impact sleep architecture; it suppressed elevated gamma activity during slow wave sleep in the electrocorticogram and prelimbic cortex signals. Diverse abnormalities in Flinders sensitive line rats emphasise slow wave sleep as a state of dysfunction in affective disorders. MFB stimulation is able to affect behaviour and sleep physiology without influencing sleep architecture. Gamma modulation may represent a component of antidepressant mechanism.
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Affiliation(s)
- Wilf Gardner
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital of Freiburg University and Medical Faculty of Freiburg University, Germany; Faculty of Biology, Albert-Ludwigs-Universität-Freiburg, Freiburg, Germany; Laboratoire de Neurosciences Cognitives et Adaptatives, University of Strasbourg, Strasbourg, France
| | - Fanny Fuchs
- Inovarion, Paris, France; Institut des Neurosciences Cellulaires et Intégratives, University of Strasbourg, Strasbourg France
| | - Laura Durieux
- Laboratoire de Neurosciences Cognitives et Adaptatives, University of Strasbourg, Strasbourg, France
| | - Patrice Bourgin
- Institut des Neurosciences Cellulaires et Intégratives, University of Strasbourg, Strasbourg France; Centre des troubles du sommeil - CIRCSom, Strasbourg University Hospitals, Strasbourg, France
| | - Volker A Coenen
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital of Freiburg University and Medical Faculty of Freiburg University, Germany; Center for Basics in Neuromodulation, Freiburg University, Freiburg, Germany; Center for Deep Brain Stimulation, Freiburg University, Freiburg, Germany
| | - Máté Döbrössy
- Laboratory of Stereotaxy and Interventional Neurosciences, Department of Stereotactic and Functional Neurosurgery, University Hospital of Freiburg University and Medical Faculty of Freiburg University, Germany; Faculty of Biology, Albert-Ludwigs-Universität-Freiburg, Freiburg, Germany; Dept of Stereotactic and Functional Neurosurgery, University Hospital Freiburg, Germany.
| | - Lucas Lecourtier
- Laboratoire de Neurosciences Cognitives et Adaptatives, University of Strasbourg, Strasbourg, France.
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14
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de Anta L, Alvarez-Mon MA, Ortega MA, Salazar C, Donat-Vargas C, Santoma-Vilaclara J, Martin-Martinez M, Lahera G, Gutierrez-Rojas L, Rodriguez-Jimenez R, Quintero J, Alvarez-Mon M. Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study. J Pers Med 2022; 12:jpm12020155. [PMID: 35207644 PMCID: PMC8879287 DOI: 10.3390/jpm12020155] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/11/2022] [Accepted: 01/18/2022] [Indexed: 01/11/2023] Open
Abstract
Background: Antidepressants are the foundation of the treatment of major depressive disorders. Despite the scientific evidence, there is still a sustained debate and concern about the efficacy of antidepressants, with widely differing opinions among the population about their positive and negative effects, which may condition people’s attitudes towards such treatments. Our aim is to investigate Twitter posts about antidepressants in order to have a better understanding of the social consideration of antidepressants. Methods: We gathered public tweets mentioning antidepressants written in English, published throughout a 22-month period, between 1 January 2019 and 31 October 2020. We analysed the content of each tweet, determining in the first place whether they included medical aspects or not. Those with medical content were classified into four categories: general aspects, such as quality of life or mood, sleep-related conditions, appetite/weight issues and aspects around somatic alterations. In non-medical tweets, we distinguished three categories: commercial nature (including all economic activity, drug promotion, education or outreach), help request/offer, and drug trivialization. In addition, users were arranged into three categories according to their nature: patients and relatives, caregivers, and interactions between Twitter users. Finally, we identified the most mentioned antidepressants, including the number of retweets and likes, which allowed us to measure the impact among Twitter users. Results: The activity in Twitter concerning antidepressants is mainly focused on the effects these drugs may have on certain health-related areas, specifically sleep (20.87%) and appetite/weight (8.95%). Patients and relatives are the type of user that most frequently posts tweets with medical content (65.2%, specifically 80% when referencing sleep and 78.6% in the case of appetite/weight), whereas they are responsible for only 2.9% of tweets with non-medical content. Among tweets classified as non-medical in this study, the most common subject was drug trivialization (66.86%). Caregivers barely have any presence in conversations in Twitter about antidepressants (3.5%). However, their tweets rose more interest among other users, with a ratio 11.93 times higher than those posted by patients and their friends and family. Mirtazapine is the most mentioned antidepressant in Twitter (45.43%), with a significant difference with the rest, agomelatine (11.11%). Conclusions: This study shows that Twitter users that take antidepressants, or their friends and family, use social media to share medical information about antidepressants. However, other users that do not talk about antidepressants from a personal or close experience, frequently do so in a stigmatizing manner, by trivializing them. Our study also brings to light the scarce presence of caregivers in Twitter.
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Affiliation(s)
- Laura de Anta
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain; (L.d.A.); (M.M.-M.); (J.Q.)
| | - Miguel Angel Alvarez-Mon
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain; (L.d.A.); (M.M.-M.); (J.Q.)
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain; (G.L.); (M.A.-M.)
- Correspondence: (M.A.A.-M.); (M.A.O.)
| | - Miguel A. Ortega
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain; (G.L.); (M.A.-M.)
- Ramón y Cajal Health Research Institute (IRYCIS), 28034 Madrid, Spain
- Correspondence: (M.A.A.-M.); (M.A.O.)
| | - Cristina Salazar
- Departamento Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación, Escuela Técnica Superior de Ingeniería de Telecomunicación, Universidad Rey Juan Carlos, 28942 Fuenlabrada, Spain;
| | - Carolina Donat-Vargas
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (IMM), Karolinska Institute, 171 77 Stockholm, Sweden;
| | | | - Maria Martin-Martinez
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain; (L.d.A.); (M.M.-M.); (J.Q.)
| | - Guillermo Lahera
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain; (G.L.); (M.A.-M.)
- Ramón y Cajal Health Research Institute (IRYCIS), 28034 Madrid, Spain
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), 22807 Madrid, Spain;
- Psychiatry Service, Príncipe de Asturias University Hospital, 28805 Alcalá de Henares, Spain
| | | | - Roberto Rodriguez-Jimenez
- CIBERSAM (Biomedical Research Networking Centre in Mental Health), 22807 Madrid, Spain;
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas 12), Universidad Complutense de Madrid (UCM), 28040 Madrid, Spain
| | - Javier Quintero
- Department of Psychiatry and Mental Health, Hospital Universitario Infanta Leonor, 28031 Madrid, Spain; (L.d.A.); (M.M.-M.); (J.Q.)
| | - Melchor Alvarez-Mon
- Department of Medicine and Medical Specialities, Faculty of Medicine and Health Sciences, University of Alcalá, 28801 Alcalá de Henares, Spain; (G.L.); (M.A.-M.)
- Ramón y Cajal Health Research Institute (IRYCIS), 28034 Madrid, Spain
- Immune System Diseases-Rheumatology and Oncology Service, University Hospital Príncipe de Asturias, CIBEREHD, 28805 Alcalá de Henares, Spain
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15
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The Effect of Sleep Deprivation and Subsequent Recovery Period on the Synaptic Proteome of Rat Cerebral Cortex. Mol Neurobiol 2022; 59:1301-1319. [PMID: 34988919 PMCID: PMC8857111 DOI: 10.1007/s12035-021-02699-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 12/13/2021] [Indexed: 12/31/2022]
Abstract
Sleep deprivation (SD) is commonplace in the modern way of life and has a substantial social, medical, and human cost. Sleep deprivation induces cognitive impairment such as loss of executive attention, working memory decline, poor emotion regulation, increased reaction times, and higher cognitive functions are particularly vulnerable to sleep loss. Furthermore, SD is associated with obesity, diabetes, cardiovascular diseases, cancer, and a vast majority of psychiatric and neurodegenerative disorders are accompanied by sleep disturbances. Despite the widespread scientific interest in the effect of sleep loss on synaptic function, there is a lack of investigation focusing on synaptic transmission on the proteome level. In the present study, we report the effects of SD and recovery period (RP) on the cortical synaptic proteome in rats. Synaptosomes were isolated after 8 h of SD performed by gentle handling and after 16 h of RP. The purity of synaptosome fraction was validated with western blot and electron microscopy, and the protein abundance alterations were analyzed by mass spectrometry. We observed that SD and RP have a wide impact on neurotransmitter-related proteins at both the presynaptic and postsynaptic membranes. The abundance of synaptic proteins has changed to a greater extent in consequence of SD than during RP: we identified 78 proteins with altered abundance after SD and 39 proteins after the course of RP. Levels of most of the altered proteins were upregulated during SD, while RP showed the opposite tendency, and three proteins (Gabbr1, Anks1b, and Decr1) showed abundance changes with opposite direction after SD and RP. The functional cluster analysis revealed that a majority of the altered proteins is related to signal transduction and regulation, synaptic transmission and synaptic assembly, protein and ion transport, and lipid and fatty acid metabolism, while the interaction network analysis revealed several connections between the significantly altered proteins and the molecular processes of synaptic plasticity or sleep. Our proteomic data implies suppression of SNARE-mediated synaptic vesicle exocytosis and impaired endocytic processes after sleep deprivation. Both SD and RP altered GABA neurotransmission and affected protein synthesis, several regulatory processes and signaling pathways, energy homeostatic processes, and metabolic pathways.
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16
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Ellis JD, Mayo JL, Finan PH, Gamaldo CE, Huhn AS. Clinical correlates of drug-related dreams in opioid use disorder. Am J Addict 2022; 31:37-45. [PMID: 34459058 PMCID: PMC8799484 DOI: 10.1111/ajad.13219] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 08/12/2021] [Accepted: 08/14/2021] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Drug-related dreams are commonly reported by individuals in treatment for substance use disorders, which may be distressing. Existing evidence suggests that dream recollection may be influenced by clinically relevant phenomena, such as opioid use and withdrawal, general sleep disturbance, affective symptoms, and chronic pain. However, very few studies have explored drug-related dreams among individuals who screened positive for opioid use disorder (OUD). METHODS Adults recruited from Amazon Mechanical Turk (MTurk) who screened positive for OUD (N = 154) completed a questionnaire about drug-related dreams, as well as measures assessing sleep, opioid use history, stress, anxiety, and chronic pain. χ2 analyses, one-way analysis of variance, and bivariate correlations, correcting for the false discovery rate, were used as appropriate to explore correlates of (1) recollecting a drug-related dream, and (2) experiencing post-dream craving and distress. RESULTS Individuals who recollected a past-week drug-related dream were more likely to report other recent sleep disturbances, including poorer sleep quality, greater insomnia symptoms, and a higher risk for sleep apnea. Post-dream craving and distress were both associated with greater insomnia symptoms, poor sleep hygiene behaviors, and greater anxiety symptoms. Individuals who had ever experienced a drug-related dream (recently, or in their lifetime) were more likely to report a history of severe withdrawal, overdose, and intravenous opioid use. CONCLUSION AND SCIENTIFIC SIGNIFICANCE Drug-related dreams were common among individuals in the present sample and were related to other clinically relevant phenomena. Interventions that treat co-occurring OUD, pain, sleep symptoms, and affective symptoms may improve overall well-being in this population.
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Affiliation(s)
- Jennifer D. Ellis
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD
| | - Jami L. Mayo
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD
| | - Patrick H. Finan
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD
| | - Charlene E. Gamaldo
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD,Johns Hopkins University School of Medicine, Department of Neurology, Baltimore, MD
| | - Andrew S. Huhn
- Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Baltimore, MD
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17
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Melhuish Beaupre LM, Brown GM, Braganza NA, Kennedy JL, Gonçalves VF. Mitochondria's role in sleep: Novel insights from sleep deprivation and restriction studies. World J Biol Psychiatry 2022; 23:1-13. [PMID: 33821750 DOI: 10.1080/15622975.2021.1907723] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVES/METHODS The biology underlying sleep is not yet fully elucidated, but it is known to be complex and largely influenced by circadian rhythms. Compelling evidence supports of a link among circadian rhythms, sleep and metabolism, which suggests a role for mitochondria. These organelles play a significant role in energy metabolism via oxidative phosphorylation (OXPHOS) and several mitochondrial enzymes display circadian oscillations. However, the interplay between mitochondria and sleep is not as well-known. This review summarises human and animal studies that have examined the role of mitochondria in sleep. Literature searches were conducted using PubMed and Google Scholar. RESULTS Using various models of sleep deprivation, animal studies support the involvement of mitochondria in sleep via differential gene and protein expression patterns, OXPHOS enzyme activity, and morphology changes. Human studies are more limited but also show differences in OXPHOS enzyme activity and protein levels among individuals who have undergone sleep deprivation or suffer from different forms of insomnia. CONCLUSIONS Taken altogether, both types of study provide evidence for mitochondria's involvement in the sleep-wake cycle. We briefly discuss the potential clinical implications of these studies.
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Affiliation(s)
- Lindsay M Melhuish Beaupre
- Department of Molecular Brain Science Research, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Gregory M Brown
- Department of Molecular Brain Science Research, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nicole A Braganza
- Department of Molecular Brain Science Research, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - James L Kennedy
- Department of Molecular Brain Science Research, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Vanessa F Gonçalves
- Department of Molecular Brain Science Research, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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Schaedel Z, Holloway D, Bruce D, Rymer J. Management of sleep disorders in the menopausal transition. Post Reprod Health 2021; 27:209-214. [PMID: 34748453 DOI: 10.1177/20533691211039151] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The menopausal transition is associated with increasing sleep disorders including sleep apnoea and restless leg syndrome. Insomnia is the most common and is recognised as a core symptom of the menopause. Guidelines to support decision making for women with sleep problems during the menopausal transition are lacking. Sleep problems are associated with negative impacts on healthcare utilisation, quality of life and work productivity. Sleep deprivation is a risk factor for cardiovascular disease, diabetes, obesity and neurobehavioral dysfunction. Declining oestrogen is implicated as a cause of menopausal sleep disruption. Vasomotor symptoms (VMS) and menopausal mood disturbance are also factors in the complex aetiology. VMS commonly precipitate insomnia and, due to their prolonged duration, they often perpetuate the condition. Insomnia in the general population is most effectively treated with cognitive behavioural therapy (CBT) (also effective in the menopausal transition.) The associations of menopausal sleep disturbance with VMS and depression mean that other treatment options must be considered. Existing guidelines outline effectiveness of hormone replacement therapy (HRT), CBT and antidepressants. HRT may indirectly help with sleep disturbance by treating VMS and also via beneficial effect on mood symptoms. The evidence base underpinning menopausal insomnia often references risks associated with HRT that are not in line with current international menopause guidelines. This may influence clinicians managing sleep disorders, leading to hesitation in offering HRT, despite evidence of effectiveness. Viewing sleep symptoms on an axis of menopausal symptoms - towards vasomotor symptoms or towards mood symptoms may help tailor treatment options towards the symptom profile.
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19
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Iacovides S, Kamerman P, Baker FC, Mitchell D. Why It Is Important to Consider the Effects of Analgesics on Sleep: A Critical Review. Compr Physiol 2021; 11:2589-2619. [PMID: 34558668 DOI: 10.1002/cphy.c210006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
We review the known physiological mechanisms underpinning all of pain processing, sleep regulation, and pharmacology of analgesics prescribed for chronic pain. In particular, we describe how commonly prescribed analgesics act in sleep-wake neural pathways, with potential unintended impact on sleep and/or wake function. Sleep disruption, whether pain- or drug-induced, negatively impacts quality of life, mental and physical health. In the context of chronic pain, poor sleep quality heightens pain sensitivity and may affect analgesic function, potentially resulting in further analgesic need. Clinicians already have to consider factors including efficacy, abuse potential, and likely side effects when making analgesic prescribing choices. We propose that analgesic-related sleep disruption should also be considered. The neurochemical mechanisms underlying the reciprocal relationship between pain and sleep are poorly understood, and studies investigating sleep in those with specific chronic pain conditions (including those with comorbidities) are lacking. We emphasize the importance of further work to clarify the effects (intended and unintended) of each analgesic class to inform personalized treatment decisions in patients with chronic pain. © 2021 American Physiological Society. Compr Physiol 11:1-31, 2021.
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Affiliation(s)
- Stella Iacovides
- Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Peter Kamerman
- Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Fiona C Baker
- Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Human Sleep Research Program, SRI International, Menlo Park, California, USA
| | - Duncan Mitchell
- Brain Function Research Group, School of Physiology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
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20
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Chronic antidepressant treatment rescues abnormally reduced REM sleep theta power in socially defeated rats. Sci Rep 2021; 11:16713. [PMID: 34408180 PMCID: PMC8373914 DOI: 10.1038/s41598-021-96094-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 08/02/2021] [Indexed: 11/08/2022] Open
Abstract
The effects of chronic antidepressant (AD) treatment on sleep disturbances in rodent chronic stress models have not been thoroughly investigated. Here, we show that chronic social defeat stress (SDS) in rats induces prolonged social avoidance, alterations in sleep architecture (increased total rapid eye movement [REM] sleep duration, bout, and shortened REM latency), and contextual but not cued fear memory deficits, even 1 month after the last SDS. These abnormalities were associated with changes in electroencephalography (EEG) spectral powers, including reduced REM sleep theta power during the light phase. Chronic treatment with two different classes of antidepressants (ADs), imipramine and fluoxetine, significantly ameliorated these behavioral, sleep, and EEG abnormalities. Interestingly, REM theta power was normalized by chronic (1 month) but not 1 week AD administration and solely correlated with the ratio (an objective indicator) of social interaction 1 month after the last SDS. These data suggest that reductions in REM sleep theta power, an EEG parameter that has never been directly investigated in humans, is a core sleep symptom in socially defeated rats, and, potentially, also in patients with stress-related psychiatric disorders, including major depressive and posttraumatic stress disorders.
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21
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Liampas I, Siokas V, Brotis A, Mentis AFA, Aloizou AM, Dastamani M, Tsouris Z, Lima M, Dardiotis E. Endogenous melatonin levels and therapeutic use of exogenous melatonin in tension type headache: A systematic review. Rev Neurol (Paris) 2021; 177:871-880. [PMID: 34167809 DOI: 10.1016/j.neurol.2021.01.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND-PURPOSE A bidirectional relationship appears to connect tension-type headache (TTH) and circadian dysregulation. The present systematic review examined the published evidence for melatonin (MT) supplementation in the prophylaxis of TTH. Initially, we reviewed case-control studies investigating nocturnal MT or 6-sulphatoxymelatonin (aMT6s, a urine-discarded metabolite) in TTH individuals and healthy controls (HC). Secondly, we reviewed studies appraising the use of MT in the prevention of TTH. METHODS The search strategy involved MEDLINE EMBASE, CENTRAL, PsycINFO, trial registries, Google Scholar and OpenGrey. Case-control studies were appraised according to the Newcastle-Ottawa-Scale, whereas randomised controlled trials were assessed based on the risk-of-bias Cochrane tool. Infrequent, as well as frequent, episodic, and chronic TTH patients were evaluated separately in children and adults. RESULTS Our search strategy yielded two case-control studies. One (high-quality) did not reveal any difference in morning salivary MT concentration between children with frequent episodic TTH and HC. The second (moderate-quality) was indicative of a disturbed nocturnal secretion pattern in adults with chronic TTH. For the second part, five uncontrolled studies were retrieved. In total, 94 adults with chronic TTH were assessed and results were suggestive of a beneficial effect of MT on headache frequency, intensity, induced disability, and induced analgesic consumption. However, the uncontrolled-unblinded designs may have induced an important placebo effect. Non-adult populations and frequent TTH were substantially understudied. CONCLUSIONS There are not enough studies to designate the role of MT in the prevention of TTH. Given the disease's background, additional relevant research is warranted for chronic TTH.
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Affiliation(s)
- I Liampas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece.
| | - V Siokas
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece
| | - A Brotis
- Department of Neurosurgery, University Hospital of Larissa, School of Medicine, University of Thessaly, Larissa, Greece
| | - A-F A Mentis
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece; Public Health Laboratories, Hellenic Pasteur Institute, Athens, Greece
| | - A-M Aloizou
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece
| | - M Dastamani
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece
| | - Z Tsouris
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece
| | - M Lima
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece
| | - E Dardiotis
- Department of Neurology, University Hospital of Larissa, School of Medicine, University of Thessaly, Biopolis, Mezourlo Hill, 41100 Larissa, Greece
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22
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Saha K, Torous J, Kiciman E, De Choudhury M. Understanding Side Effects of Antidepressants: Large-scale Longitudinal Study on Social Media Data. JMIR Ment Health 2021; 8:e26589. [PMID: 33739296 PMCID: PMC8077932 DOI: 10.2196/26589] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/09/2021] [Accepted: 02/13/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Antidepressants are known to show heterogeneous effects across individuals and conditions, posing challenges to understanding their efficacy in mental health treatment. Social media platforms enable individuals to share their day-to-day concerns with others and thereby can function as unobtrusive, large-scale, and naturalistic data sources to study the longitudinal behavior of individuals taking antidepressants. OBJECTIVE We aim to understand the side effects of antidepressants from naturalistic expressions of individuals on social media. METHODS On a large-scale Twitter data set of individuals who self-reported using antidepressants, a quasi-experimental study using unsupervised language analysis was conducted to extract keywords that distinguish individuals who improved and who did not improve following the use of antidepressants. The net data set consists of over 8 million Twitter posts made by over 300,000 users in a 4-year period between January 1, 2014, and February 15, 2018. RESULTS Five major side effects of antidepressants were studied: sleep, weight, eating, pain, and sexual issues. Social media language revealed keywords related to these side effects. In particular, antidepressants were found to show a spectrum of effects from decrease to increase in each of these side effects. CONCLUSIONS This work enhances the understanding of the side effects of antidepressants by identifying distinct linguistic markers in the longitudinal social media data of individuals showing the most and least improvement following the self-reported intake of antidepressants. One implication of this work concerns the potential of social media data as an effective means to support digital pharmacovigilance and digital therapeutics. These results can inform clinicians in tailoring their discussion and assessment of side effects and inform patients about what to potentially expect and what may or may not be within the realm of normal aftereffects of antidepressants.
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Affiliation(s)
- Koustuv Saha
- Georgia Institute of Technology, Atlanta, GA, United States
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
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23
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Batterham PJ, Werner-Seidler A, Calear AL, McCallum S, Gulliver A. Specific aspects of sleep disturbance associated with suicidal thoughts and attempts. J Affect Disord 2021; 282:574-579. [PMID: 33440302 DOI: 10.1016/j.jad.2020.12.150] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 09/08/2020] [Accepted: 12/24/2020] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Previous research suggests that sleep disturbance is associated with suicidal ideation and suicide attempt. However, few studies have accounted for the presence of multiple mental disorders and interpersonal factors associated with suicide risk. Furthermore, limited research has examined which aspects of sleep disturbance are most strongly associated with suicidal thoughts and attempts. METHOD A large community-based sample of Australian adults (n = 3,618; 81% female; 37% reporting ideation) completed a comprehensive survey assessing suicidal thoughts and behaviours, sleep disturbance, common mental disorders and interpersonal risk factors. Sleep disturbance was assessed using the 6-item PROMIS sleep disturbance scale and suicidality was measured using the Psychiatric Symptom Frequency Scale. Analyses were adjusted for age, sex, perceived burdensomeness, thwarted belongingness, and clinical caseness for six mental disorders, including major depression. RESULTS After accounting for mental health, demographic and interpersonal characteristics, increasing sleep disturbance was significantly associated with higher odds of both suicidal ideation (OR=1.17 for one-SD increase in PROMIS-SD), and suicide attempt (OR=1.33 for one-SD increase in PROMIS-SD). Of the specific indicators of sleep disturbance, only sleep onset (difficulties falling asleep) had a significant independent association with both suicidal ideation (p < 0.001) and suicide attempt (p = 0.047). CONCLUSIONS Sleep disturbance is independently associated with greater risk of suicidal thoughts and behaviours. Sleep disturbance is highly modifiable, so sleep interventions for people with suicide risk and sleep problems may provide an effective and efficient approach to suicide prevention in the community.
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Affiliation(s)
- Philip J Batterham
- Centre for Mental Health Research, The Australian National University, Canberra, Australia.
| | | | - Alison L Calear
- Centre for Mental Health Research, The Australian National University, Canberra, Australia
| | - Sonia McCallum
- Centre for Mental Health Research, The Australian National University, Canberra, Australia
| | - Amelia Gulliver
- Centre for Mental Health Research, The Australian National University, Canberra, Australia
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24
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Sandahl H, Jennum P, Baandrup L, Lykke Mortensen E, Carlsson J. Imagery rehearsal therapy and/or mianserin in treatment of refugees diagnosed with PTSD: Results from a randomized controlled trial. J Sleep Res 2021; 30:e13276. [PMID: 33529449 PMCID: PMC8365672 DOI: 10.1111/jsr.13276] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 12/23/2020] [Accepted: 12/23/2020] [Indexed: 11/30/2022]
Abstract
Sleep disturbances are frequently part of the symptomatology in refugees with post‐traumatic stress disorder (PTSD). It has been suggested that targeting sleep disturbances may enhance the outcome of PTSD treatment. However, randomized studies on the effect of treatment focusing on sleep disturbances in refugees with PTSD are lacking. The aim of this study was to examine add‐on treatment with imagery rehearsal therapy (IRT) and/or mianserin against treatment as usual (TAU) alone in a sample of trauma‐affected refugees with PTSD at 8–12 months follow‐up. In a randomized controlled trial, 219 adult refugees diagnosed with PTSD and suffering from sleep disturbances were randomized to four groups (1:1:1:1) receiving, respectively, TAU, TAU + mianserin, TAU + IRT, and TAU + IRT + mianserin. The primary outcome was subjective sleep quality (Pittsburgh Sleep Quality Index) and the secondary outcomes included PTSD and depression symptoms, level of functioning and subjective well‐being. The data were analysed using mixed models. The only significant effect of IRT was on level of functioning (p = .040, ES 0.44), whereas there was no significant effect of mianserin on any of the measured outcomes. Low adherence to both IRT (39%) and mianserin (20%) was observed. Contrary to our hypothesis, we did not find IRT or mianserin to be superior to TAU. The low adherence may potentially cause an underestimation of the effect of IRT and mianserin and indicates a necessity to further analyse the complex factors that may impact the motivation and ability of trauma‐affected refugees to participate in and profit from available treatment options.
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Affiliation(s)
- Hinuga Sandahl
- Competence Centre for Transcultural Psychiatry, Mental Health Centre Ballerup, Mental Health Services in the Capital Region of Denmark, Ballerup, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Poul Jennum
- Danish Centre for Sleep Medicine, Department of Clinical Neurophysiology, Rigshospitalet - Glostrup, Copenhagen University Hospital, Glostrup, Denmark
| | - Lone Baandrup
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Mental Health Centre Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Erik Lykke Mortensen
- Department of Public Health and Centre for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Jessica Carlsson
- Competence Centre for Transcultural Psychiatry, Mental Health Centre Ballerup, Mental Health Services in the Capital Region of Denmark, Ballerup, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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25
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Xue P, Wu J, Tang X, Tan X, Benedict C. Oral Antidiabetics and Sleep Among Type 2 Diabetes Patients: Data From the UK Biobank. Front Endocrinol (Lausanne) 2021; 12:763138. [PMID: 34803924 PMCID: PMC8595278 DOI: 10.3389/fendo.2021.763138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 10/14/2021] [Indexed: 02/05/2023] Open
Abstract
Previous small-scale studies have found that oral antidiabetic therapy is associated with sleep difficulties among patients with type 2 diabetes (T2D). Here, we used data from 11 806 T2D patients from the UK Biobank baseline investigation to examine the association of oral antidiabetic therapy with self-reported difficulty falling and staying asleep and daily sleep duration. As shown by logistic regression adjusted for, e.g., age, T2D duration, and HbA1c, patients on non-metformin therapy (N=815; 86% were treated with sulphonylureas) had a 1.24-fold higher odds ratio of reporting regular difficulty falling and staying asleep at night compared to those without antidiabetic medication use (N=5 366, P<0.05) or those on metformin monotherapy (N=5 625, P<0.05). Non-metformin patients reported about 8 to 10 minutes longer daily sleep duration than the other groups (P<0.05). We did not find significant differences in sleep outcomes between untreated and metformin patients. Our findings suggest that non-metformin therapy may result in sleep initiation and maintenance difficulties, accompanied by a small but significant sleep extension. The results of the present study must be replicated in future studies using objective measures of sleep duration and validated questionnaires for insomnia. Considering that most T2D patients utilize multiple therapies to manage their glycemic control in the long term, it may also be worth investigating possible interactions of antidiabetic drugs on sleep.
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Affiliation(s)
- Pei Xue
- Department of Neuroscience (Sleep Science, Biomedicinskt centrum (BMC)), Uppsala University, Uppsala, Sweden
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Jiafei Wu
- Department of Neuroscience (Sleep Science, Biomedicinskt centrum (BMC)), Uppsala University, Uppsala, Sweden
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao Tan
- Department of Neuroscience (Sleep Science, Biomedicinskt centrum (BMC)), Uppsala University, Uppsala, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden
| | - Christian Benedict
- Department of Neuroscience (Sleep Science, Biomedicinskt centrum (BMC)), Uppsala University, Uppsala, Sweden
- *Correspondence: Christian Benedict,
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26
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Kamara D, Beauchaine TP. A Review of Sleep Disturbances among Infants and Children with Neurodevelopmental Disorders. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2020; 7:278-294. [PMID: 33344102 PMCID: PMC7747783 DOI: 10.1007/s40489-019-00193-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 12/04/2019] [Indexed: 02/06/2023]
Abstract
Sleep problems are common among children with neurodevelopmental disorders (NDDs). We review sleep disturbance in three major NDDs: autism spectrum disorder, Down syndrome, and fetal alcohol spectrum disorder (FASD). We review associations with functional impairment, discuss how patterns of sleep disturbance inform understanding of etiology, and theorize about mechanisms of impairment. Sleep disturbance is a transdiagnostic feature of NDDs. Caregivers report high rates of sleep problems, including difficulty falling or staying asleep. Polysomnography data reveal differences in sleep architecture and increased rates of sleep disorders. Sleep disturbance is associated with functional impairment and stress among families. Further research is needed to elucidate mechanisms of impairment and develop more effective interventions. Despite significant sleep disturbance in FASD, limited research is available.
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Affiliation(s)
- Dana Kamara
- The Ohio State University, Department of Psychology, 1835 Neil Ave., Columbus, OH 43210
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27
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Freeman D, Sheaves B, Waite F, Harvey AG, Harrison PJ. Sleep disturbance and psychiatric disorders. Lancet Psychiatry 2020; 7:628-637. [PMID: 32563308 DOI: 10.1016/s2215-0366(20)30136-x] [Citation(s) in RCA: 263] [Impact Index Per Article: 65.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 02/22/2020] [Accepted: 03/17/2020] [Indexed: 01/10/2023]
Abstract
Signs of mental ill health that cut across psychiatric diagnostic categories at high rates are typically viewed as non-specific occurrences, downgraded in importance and disregarded. However, problems not associated with particular diagnoses should be expected if there is shared causation across mental health conditions. If dynamic networks of interacting symptoms are the reality of mental health presentations, then particularly disruptive and highly connected problems should be especially common. The non-specific occurrence might be highly consequential. One non-specific occurrence that is often overlooked is patients' chronic difficulty in getting good sleep. In this Review, we consider whether disrupted sleep might be a contributory causal factor in the occurrence of major types of mental health disorders. It is argued that insomnia and other mental health conditions not only share common causes but also show a bidirectional relationship, with typically the strongest pathway being disrupted sleep as a causal factor in the occurrence of other psychiatric problems. Treating insomnia lessens other mental health problems. Intervening on sleep at an early stage might be a preventive strategy for the onset of clinical disorders. Our recommendations are that insomnia is assessed routinely in the occurrence of mental health disorders; that sleep disturbance is treated in services as a problem in its own right, yet also recognised as a pathway to reduce other mental health difficulties; and that access to evidence-based treatment for sleep difficulties is expanded in mental health services.
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Affiliation(s)
- Daniel Freeman
- Department of Psychiatry, University of Oxford, Oxford, UK; Health National Health Service Foundation Trust, Oxford, UK.
| | - Bryony Sheaves
- Department of Psychiatry, University of Oxford, Oxford, UK; Health National Health Service Foundation Trust, Oxford, UK
| | - Felicity Waite
- Department of Psychiatry, University of Oxford, Oxford, UK; Health National Health Service Foundation Trust, Oxford, UK
| | - Allison G Harvey
- Department of Psychology, University of California, Berkeley, CA, USA
| | - Paul J Harrison
- Department of Psychiatry, University of Oxford, Oxford, UK; Health National Health Service Foundation Trust, Oxford, UK
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28
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Abstract
There is a complex interplay between sleep disturbance and patients in pain. There is an increasing appreciation of the direct effects of analgesic drugs and sleep quality. This review provides an overview of the effects of different analgesic drugs and their effects on phases of sleep. The effects of different pain conditions and their direct effects on sleep physiology are also discussed. A structured search of the scientific literature using MEDLINE and PubMed databases. Original human and animal studies were included. A multi-search term strategy was employed. An appreciation of the physiological effects of these drugs will allow a more considered prescription of them to better manage sleep disturbance.
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Affiliation(s)
- Adam Woo
- Consultant Anaesthetist & Pain Physician, King's College Hospital, London, UK
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29
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Horne J. REM sleep vs exploratory wakefulness: Alternatives within adult ‘sleep debt’? Sleep Med Rev 2020; 50:101252. [DOI: 10.1016/j.smrv.2019.101252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Revised: 12/06/2019] [Accepted: 12/06/2019] [Indexed: 10/25/2022]
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30
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Cox RC, Olatunji BO. Sleep in the anxiety-related disorders: A meta-analysis of subjective and objective research. Sleep Med Rev 2020; 51:101282. [PMID: 32109832 DOI: 10.1016/j.smrv.2020.101282] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/07/2020] [Accepted: 01/09/2020] [Indexed: 02/04/2023]
Abstract
Although sleep disturbance is implicated in psychopathology, its role in anxiety-related disorders remains unclear. The present meta-analysis characterizes sleep disturbance in anxiety-related disorders collectively and individually. Subjective measures of total sleep time and sleep continuity were included with objective measures. Results indicate a large effect for increased subjective sleep disturbance (g = 2.16), medium effects for decreased total sleep time (g = -.40) and sleep continuity (g = -.49), and a small effect for decreased sleep depth (g = -.20) in anxiety-related disorders compared to healthy controls. Each anxiety-related disorder exhibited a distinct sleep disturbance pattern, suggesting that sleep may facilitate identification of unique biopsychological underpinnings. Effects were not moderated by comorbid depression and were similar in magnitude to those found for depression. Sleep disturbances, particularly decreased sleep continuity, may be a key pathology in the anxiety-related disorders that could highlight novel etiological mechanisms and intervention targets.
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Affiliation(s)
- Rebecca C Cox
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN 37240, USA.
| | - Bunmi O Olatunji
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN 37240, USA
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31
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Rios P, Cardoso R, Morra D, Nincic V, Goodarzi Z, Farah B, Harricharan S, Morin CM, Leech J, Straus SE, Tricco AC. Comparative effectiveness and safety of pharmacological and non-pharmacological interventions for insomnia: an overview of reviews. Syst Rev 2019; 8:281. [PMID: 31730011 PMCID: PMC6857325 DOI: 10.1186/s13643-019-1163-9] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 09/13/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND This review aimed to assess the existing evidence regarding the clinical effectiveness and safety of pharmacological and non-pharmacological interventions in adults with insomnia and identify where research or policy development is needed. METHODS MEDLINE, Embase, PsycINFO, The Cochrane Library, and PubMed were searched from inception until June 14, 2017, along with relevant gray literature sites. Two reviewers independently screened titles/abstracts and full-text articles, and a single reviewer with an independent verifier completed charting, data abstraction, and quality appraisal. RESULTS A total of 64 systematic reviews (35 with meta-analysis) were included after screening 5024 titles and abstracts and 525 full-text articles. Eight of the included reviews were rated as high quality using the Assessment of Multiple Systematic Reviews 2 (AMSTAR2) tool, and over half of the included articles (n = 40) were rated as low or critically low quality. Consistent evidence of effectiveness across multiple outcomes based on more than one high- or moderate quality review with meta-analysis was found for zolpidem, suvorexant, doxepin, melatonin, and cognitive behavioral therapy (CBT), and evidence of effectiveness across multiple outcomes based on one high-quality review with meta-analysis was found for temazepam, triazolam, zopiclone, trazodone, and behavioral interventions. These interventions were mostly evaluated in the short term (< 16 weeks), and there was very little harms data available for the pharmacological interventions making it difficult to evaluate their risk-benefit ratio. CONCLUSIONS Assuming non-pharmacological interventions are preferable from a safety perspective CBT can be considered an effective first-line therapy for adults with insomnia followed by other behavioral interventions. Short courses of pharmacological interventions can be supplements to CBT or behavioral therapy; however, no evidence regarding the appropriate duration of pharmacological therapy is available from these reviews. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42017072527.
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Affiliation(s)
- Patricia Rios
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, Ontario M5B 1W8 Canada
| | - Roberta Cardoso
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, Ontario M5B 1W8 Canada
| | - Deanna Morra
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, Ontario M5B 1W8 Canada
| | - Vera Nincic
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, Ontario M5B 1W8 Canada
| | - Zahra Goodarzi
- Division of Geriatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta Canada
| | - Bechara Farah
- The Canadian Agency for Drugs and Technologies in Health, 865 Carling Ave., Suite 600, Ottawa, Ontario K1S 5S8 Canada
| | - Sharada Harricharan
- The Canadian Agency for Drugs and Technologies in Health, 865 Carling Ave., Suite 600, Ottawa, Ontario K1S 5S8 Canada
| | - Charles M. Morin
- École de Psychologie, 2325, rue des Bibliothèques, Québec, Québec G1V 0A6 Canada
| | - Judith Leech
- Division of Respirology, Department of Medicine, University of Ottawa, Ottawa, ON Canada
| | - Sharon E. Straus
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, Ontario M5B 1W8 Canada
- Department of Geriatric Medicine, University of Toronto, Toronto, Ontario Canada
| | - Andrea C. Tricco
- Knowledge Translation Program, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Unity Health Toronto, 209 Victoria Street, East Building, Toronto, Ontario M5B 1W8 Canada
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario Canada
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32
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Comparative effectiveness and safety of pharmacological and non-pharmacological interventions for insomnia: an overview of reviews. Syst Rev 2019. [PMID: 31730011 DOI: 10.1186/s13643‐019‐1163‐9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND This review aimed to assess the existing evidence regarding the clinical effectiveness and safety of pharmacological and non-pharmacological interventions in adults with insomnia and identify where research or policy development is needed. METHODS MEDLINE, Embase, PsycINFO, The Cochrane Library, and PubMed were searched from inception until June 14, 2017, along with relevant gray literature sites. Two reviewers independently screened titles/abstracts and full-text articles, and a single reviewer with an independent verifier completed charting, data abstraction, and quality appraisal. RESULTS A total of 64 systematic reviews (35 with meta-analysis) were included after screening 5024 titles and abstracts and 525 full-text articles. Eight of the included reviews were rated as high quality using the Assessment of Multiple Systematic Reviews 2 (AMSTAR2) tool, and over half of the included articles (n = 40) were rated as low or critically low quality. Consistent evidence of effectiveness across multiple outcomes based on more than one high- or moderate quality review with meta-analysis was found for zolpidem, suvorexant, doxepin, melatonin, and cognitive behavioral therapy (CBT), and evidence of effectiveness across multiple outcomes based on one high-quality review with meta-analysis was found for temazepam, triazolam, zopiclone, trazodone, and behavioral interventions. These interventions were mostly evaluated in the short term (< 16 weeks), and there was very little harms data available for the pharmacological interventions making it difficult to evaluate their risk-benefit ratio. CONCLUSIONS Assuming non-pharmacological interventions are preferable from a safety perspective CBT can be considered an effective first-line therapy for adults with insomnia followed by other behavioral interventions. Short courses of pharmacological interventions can be supplements to CBT or behavioral therapy; however, no evidence regarding the appropriate duration of pharmacological therapy is available from these reviews. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42017072527.
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Yasugaki S, Liu CY, Kashiwagi M, Kanuka M, Honda T, Miyata S, Yanagisawa M, Hayashi Y. Effects of 3 Weeks of Water Immersion and Restraint Stress on Sleep in Mice. Front Neurosci 2019; 13:1072. [PMID: 31680813 PMCID: PMC6813282 DOI: 10.3389/fnins.2019.01072] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 09/24/2019] [Indexed: 12/27/2022] Open
Abstract
Repeated stress is a risk factor for mental disorders and can also lead to sleep disturbances. Although the effects of stress on sleep architecture have been investigated in rodents, the length of the stress exposure period in most studies has been limited to about 10 days, and few studies have analyzed the effects of chronic stress over a longer period. Here we investigated how sleep is affected in a mouse model of depression induced by 3 weeks of daily water immersion and restraint stress (WIRS). Sleep was recorded after 1, 2, and 3 weeks of stress exposure. Some stress-induced changes in several sleep measures were maintained across the 3 weeks, whereas other changes were most prominent during the 1st week. The total amount of non-rapid eye movement sleep (NREMS) was increased and the total amount of time spent awake was decreased across all 3 weeks. On the other hand, the amount of REMS during the dark phase was significantly increased in the 1st week compared with that at baseline or the 2nd and 3rd weeks. Electroencephalogram (EEG) power in the delta range was decreased during NREMS, although the total amount of NREMS was increased. These findings indicate that repeated WIRS, which eventually leads to a depression-like phenotype, differentially affects sleep between the early and subsequent periods. The increase in the amount of REMS during the dark phase in the 1st week significantly correlated with changes in body weight. Our results show how sleep changes throughout a long period of chronic stress in a mouse model of depression.
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Affiliation(s)
- Shinnosuke Yasugaki
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan.,Doctoral Program in Biomedical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Chih-Yao Liu
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan.,Ph.D. Program in Human Biology, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Japan
| | - Mitsuaki Kashiwagi
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan.,Doctoral Program in Kansei, Behavioral and Brain Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Mika Kanuka
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan
| | - Takato Honda
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan.,Ph.D. Program in Human Biology, School of Integrative and Global Majors, University of Tsukuba, Tsukuba, Japan
| | - Shingo Miyata
- Division of Molecular Brain Science, Research Institute of Traditional Asian Medicine, Kindai University, Osaka, Japan
| | - Masashi Yanagisawa
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan.,Department of Molecular Genetics, University of Texas Southwestern Medical Center, Dallas, TX, United States.,Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance, University of Tsukuba, Tsukuba, Japan
| | - Yu Hayashi
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba, Japan
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Wilson S, Anderson K, Baldwin D, Dijk DJ, Espie A, Espie C, Gringras P, Krystal A, Nutt D, Selsick H, Sharpley A. British Association for Psychopharmacology consensus statement on evidence-based treatment of insomnia, parasomnias and circadian rhythm disorders: An update. J Psychopharmacol 2019; 33:923-947. [PMID: 31271339 DOI: 10.1177/0269881119855343] [Citation(s) in RCA: 137] [Impact Index Per Article: 27.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This British Association for Psychopharmacology guideline replaces the original version published in 2010, and contains updated information and recommendations. A consensus meeting was held in London in October 2017 attended by recognised experts and advocates in the field. They were asked to provide a review of the literature and identification of the standard of evidence in their area, with an emphasis on meta-analyses, systematic reviews and randomised controlled trials where available, plus updates on current clinical practice. Each presentation was followed by discussion, aiming to reach consensus where the evidence and/or clinical experience was considered adequate, or otherwise to flag the area as a direction for future research. A draft of the proceedings was circulated to all speakers for comments, which were incorporated into the final statement.
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Affiliation(s)
- Sue Wilson
- 1 Centre for Psychiatry, Imperial College London, London, UK
| | - Kirstie Anderson
- 2 Regional Sleep Service, Freeman Hospital, Newcastle Upon Tyne, UK
| | - David Baldwin
- 3 Clinical and Experimental Sciences, University of Southampton, Southampton, UK
| | - Derk-Jan Dijk
- 4 Sleep Research Centre, University of Surrey, Guildford, UK
| | - Audrey Espie
- 5 Psychology Department, NHS Fife, Dunfermline, UK
| | - Colin Espie
- 6 Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Paul Gringras
- 7 Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Andrew Krystal
- 8 Psychiatry and Behavioral Science, University of California, San Francisco, CA, USA
| | - David Nutt
- 1 Centre for Psychiatry, Imperial College London, London, UK
| | - Hugh Selsick
- 9 Royal London Hospital for Integrated Medicine, London, UK
| | - Ann Sharpley
- 10 Department of Psychiatry, University of Oxford, Oxford, UK
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36
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Alamir YA, Zullig KJ, Wen S, Montgomery-Downs H, Kristjansson AL, Misra R, Zhang J. Association Between Nonmedical Use of Prescription Drugs and Sleep Quality in a Large College Student Sample. Behav Sleep Med 2019; 17:470-480. [PMID: 29131654 PMCID: PMC5949251 DOI: 10.1080/15402002.2017.1403325] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Objective/Background: Poor sleep and nonmedical use (NMU) of prescription drugs (NMUPD) are both common among college students. Since lack of sleep adversely influences academic performance, this study examined the association between NMUPD and subjective sleep quality among college students. Participants: Students who completed the American College Health Association-National College Health Assessment data (Fall 2010, Spring 2011; N = 135,874). Methods: Associations were examined between NMUPD in four classes over the past 12 months (antidepressant, painkillers, sedatives, and stimulants), and five aspects of sleep quality (Enough Sleep, Early Awakening, Daytime Sleepiness, Difficulty Falling Asleep, and Problem With Daytime Sleepiness) in the past seven days. Results: Any NMUPD (at least one class), NMU of stimulants specifically, and NMU of painkillers specifically were associated with getting fewer days of Enough Sleep (OR: 0.86, 0.93, and 0.84 respectively), more days of Early Awakening (OR: 1.28, 1.10, and 1.28 respectively), Daytime Sleepiness (OR: 1.23, 1.13, and 1.16 respectively), and Difficulty Falling Asleep (OR:1.32, 1.10, and 1.27 respectively; p < .0001, each). NMU of sedatives was significantly associated with having Problem With Daytime Sleepiness (OR: 1.10), more days of Early Awakening (OR: 1.12), and Difficulty Falling Asleep (OR: 1.17; p < .0001). Conclusions: NMUPD is associated with poor sleep among college students. Therefore, behavioral medicine screening and treatment of this vulnerable population should consider sleep health, NMUPD, and the potential that these problems may be comorbid.
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Affiliation(s)
- Yahya A. Alamir
- Department of Social & Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Keith J. Zullig
- Department of Social & Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Sijin Wen
- Department of Biostatistics, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | | | - Alfgeir L. Kristjansson
- Department of Social & Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Ranjita Misra
- Department of Social & Behavioral Sciences, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
| | - Jianjun Zhang
- Department of Biostatistics, School of Public Health, West Virginia University, Morgantown, West Virginia, USA
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Abstract
Sleep disturbance is known to be associated with psychosis, but sleep disorders (eg, insomnia, nightmare disorder, sleep apnea) have rarely been investigated. We aimed to provide the first detailed assessment of sleep disorders and their correlates in patients with early psychosis. Sixty outpatients aged between 18 and 30 with nonaffective psychosis were assessed for sleep disorder presence, severity, and treatment using a structured diagnostic interview, sleep diaries, and actigraphy. Psychotic experiences, mood, and psychological wellbeing were also measured. Forty-eight patients (80%) had at least one sleep disorder, with insomnia and nightmare disorder being the most common. Comorbidity of sleep disorders within this group was high, with an average of 3.3 sleep disorders per patient. Over half of the sleep disorders had been discussed with a clinician but almost three-quarters had received no treatment. Treatment according to clinical guidelines was rare, occurring in only 8% of cases (n = 13). Sleep disorders were significantly associated with increased psychotic experiences, depression, anxiety, fatigue, and lower quality of life. Sleep disorders are very common in patients with psychosis, may have wide-ranging negative effects, and merit routine assessment and treatment in psychiatric practice.
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Affiliation(s)
- Sarah Reeve
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Bryony Sheaves
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Daniel Freeman
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
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Gobbi G, Comai S. Differential Function of Melatonin MT 1 and MT 2 Receptors in REM and NREM Sleep. Front Endocrinol (Lausanne) 2019; 10:87. [PMID: 30881340 PMCID: PMC6407453 DOI: 10.3389/fendo.2019.00087] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Accepted: 01/31/2019] [Indexed: 11/13/2022] Open
Abstract
The pathophysiological function of the G-protein coupled melatonin MT1 and MT2 receptors has not yet been well-clarified. Recent advancements using selective MT1/ MT2 receptor ligands and MT1/MT2 receptor knockout mice have suggested that the activation of the MT1 receptors are mainly implicated in the regulation of rapid eye movement (REM) sleep, whereas the MT2 receptors selectively increase non-REM (NREM) sleep. Studies in mutant mice show that MT1 knockout mice have an increase in NREM sleep and a decrease in REM sleep, while MT2 knockout mice a decrease in NREM sleep. The localization of MT1 receptors is also distinct from MT2 receptors; for example, MT2 receptors are located in the reticular thalamus (NREM area), while the MT1 receptors in the Locus Coeruleus and lateral hypothalamus (REM areas). Altogether, these findings suggest that these two receptors not only have a very specialized function in sleep, but that they may also modulate opposing effects. These data also suggest that mixed MT1-MT2 receptors ligands are not clinically recommended given their opposite roles in physiological functions, confirmed by the modest effects of melatonin or MT1/MT2 non-selective agonists when used in both preclinical and clinical studies as hypnotic drugs. In sum, MT1 and MT2 receptors have specific roles in the modulation of sleep, and consequently, selective ligands with agonist, antagonist, or partial agonist properties could have therapeutic potential for sleep; while the MT2 agonists or partial agonists might be indicated for NREM-related sleep and/or anxiety disorders, the MT1 agonists or partial agonists might be so for REM-related sleep disorders. Furthermore, MT1 but not MT2 receptors seem involved in the regulation of the circadian rhythm. Future research will help further develop MT1 and/or MT2 receptors as targets for neuropsychopharmacology drug development.
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Affiliation(s)
- Gabriella Gobbi
- Neurobiological Psychiatry Unit, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Stefano Comai
- Neurobiological Psychiatry Unit, Department of Psychiatry, McGill University, Montreal, QC, Canada
- San Raffaele Scientific Institute and Vita Salute University, Milan, Italy
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39
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Brooks S, Jacobs GE, de Boer P, Kent JM, Van Nueten L, van Amerongen G, Zuiker R, Kezic I, Luthringer R, van der Ark P, van Gerven JM, Drevets W. The selective orexin-2 receptor antagonist seltorexant improves sleep: An exploratory double-blind, placebo controlled, crossover study in antidepressant-treated major depressive disorder patients with persistent insomnia. J Psychopharmacol 2019; 33:202-209. [PMID: 30644312 DOI: 10.1177/0269881118822258] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Insomnia is common in patients with major depressive disorder. Although antidepressants improve mood, insomnia often persists as a result of physiological hyperarousal. The orexin-2 receptor is increasingly being recognized as a new target for the treatment of persistent insomnia in major depressive disorder . AIM This exploratory study investigated the effects of seltorexant on objective sleep parameters and subjective depressive symptoms in antidepressant treated major depressive disorder patients with persistent insomnia. METHODS Twenty male and female patients received a single dose of 10, 20, 40 mg seltorexant and placebo with a washout period of seven days in a double-blind four-way crossover study. Effects on latency to persistent sleep, total sleep time and sleep efficiency were assessed with polysomnography. Subjective changes in mood were explored by the Quick Inventory of Depressive Symptomatology Self-Report. Safety was recorded and suicidal ideation and behavior were assessed with the Columbia Suicide Severity Rating Scale. RESULTS Latency to persistent sleep was significantly shorter for all doses of seltorexant compared to placebo. Placebo least square mean was 61.05 min with least square mean ratios treatment/placebo (80% confidence interval) of 0.32 (0.24-0.44), 0.15 (0.11-0.2) and 0.17 (0.12-0.23) 19.69, 9.2, 10.15 for 10, 20 and 40 mg seltorexant respectively, (all p<0.001). Total sleep time was significantly longer for all doses of seltorexant compared to placebo. Sleep efficiency was significantly improved. The Quick Inventory of Depressive Symptomatology Self-Report demonstrated a trend to mood-improvement for the 40 mg group. CONCLUSIONS Seltorexant showed a statistically significant, dose-dependent decrease in latency to persistent sleep, and increase in total sleep time and sleep efficiency combined with a tendency toward subjectively improved mood.
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Affiliation(s)
- Sander Brooks
- 1 Clinical Pharmacology, Centre for Human Drug Research, Leiden, The Netherlands
| | - Gabriël E Jacobs
- 1 Clinical Pharmacology, Centre for Human Drug Research, Leiden, The Netherlands
| | - Peter de Boer
- 2 Neuroscience Development, Janssen Research and Development, Beerse, Belgium
| | | | - Luc Van Nueten
- 2 Neuroscience Development, Janssen Research and Development, Beerse, Belgium
| | - Guido van Amerongen
- 1 Clinical Pharmacology, Centre for Human Drug Research, Leiden, The Netherlands
| | - Rob Zuiker
- 1 Clinical Pharmacology, Centre for Human Drug Research, Leiden, The Netherlands
| | - Iva Kezic
- 4 Quantitative Sciences, Janssen Research and Development, Beerse, Belgium
| | | | - Peter van der Ark
- 2 Neuroscience Development, Janssen Research and Development, Beerse, Belgium
| | - Joop Ma van Gerven
- 1 Clinical Pharmacology, Centre for Human Drug Research, Leiden, The Netherlands
| | - Wayne Drevets
- 6 Neuroscience Development, Janssen Research and Development, San Diego, CA, USA
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40
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Wang YC, Lin HT, Lu ML, Huang MC, Chen CH, Wu TH, Wang S, Mao WC, Kuo PH, Chen HC. The Association Between the Sedative Loads and Clinical Severity Indicators in the First-Onset Major Depressive Disorder. Front Psychiatry 2019; 10:129. [PMID: 30936841 PMCID: PMC6431631 DOI: 10.3389/fpsyt.2019.00129] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 02/22/2019] [Indexed: 12/15/2022] Open
Abstract
Background: High sedative use in a major depressive episode may imply specific clinical features. This study aims to examine the correlation between sedative use and clinical severity indicators in the initial treatment phase of first-onset major depressive disorder. Methods: A study cohort in the first episode of major depressive disorder was used to conduct pharmacological dissection. All participants had at least a 2-year follow-up period with a complete treatment record. The defined daily dose of antidepressants and augmentation agents were calculated as the antidepressant load and augmentation load, respectively. Sedative use, which was calculated as the equivalent dosage of lorazepam, were defined as the sedative load. These psychotropic loads were measured monthly and the averaged psychotropic loads for each day were obtained. Results: A total of 106 individuals (75.5% female) were included. The mean duration of disease course in participants was 5.5 ± 3.5 years. In the multiple regression analysis, after controlling for other classes of psychotropics and comorbid anxiety disorders, the sedative load independently correlated with higher number of antidepressants used, higher number of antidepressant used with an adequate dose and duration, more psychiatric emergency and outpatient visits within 2 years of disease onset. Conclusion: High loading of sedatives correlated with several indicators of clinical severity in major depressive disorder. The sedative load may be used as a specifier to identify subgroups in patients with major depressive disorder.
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Affiliation(s)
- Yen-Chin Wang
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Hai-Ti Lin
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan
| | - Mong-Liang Lu
- Department of Psychiatry, Wan-Fang Hospital & School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Ming-Chyi Huang
- Department of Psychiatry, Taipei City Hospital, Songde Branch, Taipei, Taiwan
| | - Chun-Hsin Chen
- Department of Psychiatry, Wan-Fang Hospital & School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Tzu-Hua Wu
- Department of Clinical Pharmacy, School of Pharmacy, College of Pharmacy, Taipei Medical University, Taipei, Taiwan
| | - Sabrina Wang
- School of Medicine, Institute of Anatomy and Cell Biology, National Yang-Ming University, Taipei, Taiwan
| | - Wei-Chung Mao
- Department of Psychiatry, Cheng-Hsin General Hospital & School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Po-Hsiu Kuo
- Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Hsi-Chung Chen
- Department of Psychiatry, National Taiwan University Hospital, Taipei, Taiwan.,Center of Sleep Disorders, National Taiwan University Hospital, Taipei, Taiwan
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Kwon HB, Yoon H, Choi SH, Choi JW, Lee YJ, Park KS. Heart rate variability changes in major depressive disorder during sleep: Fractal index correlates with BDI score during REM sleep. Psychiatry Res 2019; 271:291-298. [PMID: 30513461 DOI: 10.1016/j.psychres.2018.11.021] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 11/10/2018] [Accepted: 11/10/2018] [Indexed: 02/06/2023]
Abstract
We investigated the relationship between autonomic nervous system activity during each sleep stage and the severity of depressive symptoms in patients with major depressive disorder (MDD) and healthy control subjects. Thirty patients with MDD and thirty healthy control subjects matched for sex, age, and body mass index completed standard overnight polysomnography. Depression severity was assessed using the Beck Depression Inventory (BDI). Time- and frequency-domain, and fractal HRV parameters were derived from 5-min electrocardiogram segments during light sleep, deep sleep, rapid eye movement (REM) sleep, and the pre- and post-sleep wake periods. Detrended fluctuation analysis (DFA) alpha-1 values during REM sleep were significantly higher in patients with MDD than in control subjects, and a significant correlation existed between DFA alpha-1 and BDI score in all subjects. DFA alpha-1 was the strongest predictor for the BDI score, along with REM density as a covariate. This study found that compared with controls, patients with MDD show reduced complexity in heart rate during REM sleep, which may represent lower cardiovascular adaptability in these patients, and could lead to cardiac disease. Moreover, DFA alpha-1 values measured during REM sleep may be useful as an indicator for the diagnosis and monitoring of depression.
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Affiliation(s)
- Hyun Bin Kwon
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 03080, Republic of Korea; Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul 03080, Republic of Korea
| | - Heenam Yoon
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 03080, Republic of Korea
| | - Sang Ho Choi
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 03080, Republic of Korea
| | - Jae-Won Choi
- Department of Neuropsychiatry, Eulji University School of Medicine, Eulji General Hospital, Seoul 01830, Republic of Korea
| | - Yu Jin Lee
- Department of Neuropsychiatry and the Center for Sleep and Chronobiology, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Kwang Suk Park
- Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul 03080, Republic of Korea; Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul 03080, Republic of Korea.
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Malafeev A, Laptev D, Bauer S, Omlin X, Wierzbicka A, Wichniak A, Jernajczyk W, Riener R, Buhmann J, Achermann P. Automatic Human Sleep Stage Scoring Using Deep Neural Networks. Front Neurosci 2018; 12:781. [PMID: 30459544 PMCID: PMC6232272 DOI: 10.3389/fnins.2018.00781] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 10/09/2018] [Indexed: 11/20/2022] Open
Abstract
The classification of sleep stages is the first and an important step in the quantitative analysis of polysomnographic recordings. Sleep stage scoring relies heavily on visual pattern recognition by a human expert and is time consuming and subjective. Thus, there is a need for automatic classification. In this work we developed machine learning algorithms for sleep classification: random forest (RF) classification based on features and artificial neural networks (ANNs) working both with features and raw data. We tested our methods in healthy subjects and in patients. Most algorithms yielded good results comparable to human interrater agreement. Our study revealed that deep neural networks (DNNs) working with raw data performed better than feature-based methods. We also demonstrated that taking the local temporal structure of sleep into account a priori is important. Our results demonstrate the utility of neural network architectures for the classification of sleep.
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Affiliation(s)
- Alexander Malafeev
- Chronobiology and Sleep Research, Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
| | - Dmitry Laptev
- Information Science and Engineering, Institute for Machine Learning, ETH Zurich, Zurich, Switzerland
| | - Stefan Bauer
- Information Science and Engineering, Institute for Machine Learning, ETH Zurich, Zurich, Switzerland
- Max Planck Institute for Intelligent Systems, Tübingen, Germany
| | - Ximena Omlin
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland
| | - Aleksandra Wierzbicka
- Sleep Disorders Center, Department of Clinical Neurophysiology, Institute of Psychiatry and Neurology in Warsaw, Warsaw, Poland
| | - Adam Wichniak
- Third Department of Psychiatry and Sleep Disorders Center, Institute of Psychiatry and Neurology in Warsaw, Warsaw, Poland
| | - Wojciech Jernajczyk
- Sleep Disorders Center, Department of Clinical Neurophysiology, Institute of Psychiatry and Neurology in Warsaw, Warsaw, Poland
| | - Robert Riener
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
- Sensory-Motor Systems Lab, ETH Zurich, Zurich, Switzerland
- University Hospital Balgrist (SCI Center), Medical Faculty, University of Zurich, Zurich, Switzerland
| | - Joachim Buhmann
- Information Science and Engineering, Institute for Machine Learning, ETH Zurich, Zurich, Switzerland
| | - Peter Achermann
- Chronobiology and Sleep Research, Institute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Center for Interdisciplinary Sleep Research, University of Zurich, Zurich, Switzerland
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43
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Shaver JL, Iacovides S. Sleep in Women with Chronic Pain and Autoimmune Conditions: A Narrative Review. Sleep Med Clin 2018; 13:375-394. [PMID: 30098754 DOI: 10.1016/j.jsmc.2018.04.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Chronic pain and sleep disturbances are intricately intertwined. This narrative review provides comments on observations related to pain, stress-immunity, and sleep. Sleep evidence is reviewed from studies of select conditions involving pain (ie, functional somatic syndromes and autoimmune) that are predominant in women. Chronic pain and poor sleep encompass persistent stress-immune activation with systemic inflammation, cellular oxidative stress, and sick behavior indicators that increase morbidity and threaten quality of life. In painful conditions, sleep impairments are nearly ubiquitous, and exaggerated combined effects should not be underestimated or ignored, nor should crucial implications for clinical practice and research.
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Affiliation(s)
- Joan L Shaver
- Biobehavioral Health Science Division, University of Arizona College of Nursing, 1305 North Martin Avenue, Tucson, AZ 85721, USA.
| | - Stella Iacovides
- Faculty of Health Sciences, Brain Function Research Group, School of Physiology, University of the Witwatersrand, 7 York Road, Parktown 2193, Johannesburg, South Africa
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McGlashan EM, Nandam LS, Vidafar P, Mansfield DR, Rajaratnam SMW, Cain SW. The SSRI citalopram increases the sensitivity of the human circadian system to light in an acute dose. Psychopharmacology (Berl) 2018; 235:3201-3209. [PMID: 30219986 DOI: 10.1007/s00213-018-5019-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 08/31/2018] [Indexed: 12/31/2022]
Abstract
RATIONALE Disturbances of the circadian system are common in depression. Though they typically subside when depression is treated with antidepressants, the mechanism by which this occurs is unknown. Despite being the most commonly prescribed class of antidepressants, the effect of selective serotonin reuptake inhibitors (SSRIs) on the human circadian clock is not well understood. OBJECTIVE To examine the effect of the SSRI citalopram (30 mg) on the sensitivity of the human circadian system to light. METHODS This study used a double-blind, placebo-controlled, within-subjects, crossover design. Participants completed two melatonin suppression assessments in room level light (~ 100 lx), taking either a single dose of citalopram 30 mg or a placebo at the beginning of each light exposure. Melatonin suppression was calculated by comparing placebo and citalopram light exposure conditions to a dim light baseline. RESULTS A 47% increase in melatonin suppression was observed after administration of an acute dose of citalopram, with all participants showing more suppression after citalopram administration (large effect, d = 1.54). Further, melatonin onset occurred later under normal room light with citalopram compared to placebo. CONCLUSIONS Increased sensitivity of the circadian system to light could assist in explaining some of the inter-individual variability in antidepressant treatment responses, as it is likely to assist in recovery in some patients, while causing further disruption for others.
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Affiliation(s)
- E M McGlashan
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3800, Australia
| | - L S Nandam
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - P Vidafar
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3800, Australia
| | - D R Mansfield
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3800, Australia.,Monash Lung and Sleep, Monash Health, Clayton, VIC, Australia
| | - S M W Rajaratnam
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3800, Australia
| | - S W Cain
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC, 3800, Australia.
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Abstract
Sleep and pain share a bidirectional relationship. Therefore, it is important for practitioners managing patients experiencing either sleep and/or pain issues to recognize and understand this complex association from a neurobiological perspective involving neuroanatomic and neurochemical processes. Accounting for the influence of pain on the various aspects of sleep and understanding its impact on various orofacial pain disorders assists in developing a prudent management approach. Screening for sleep disorders benefits practitioners in identifying these individuals. Instituting evidence-based multidisciplinary management strategies using both behavioral and pharmacologic strategies enhances the delivery of appropriate care.
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Affiliation(s)
- Gary D Klasser
- Department of Diagnostic Sciences, Louisiana State University Health Sciences Center, School of Dentistry, 1100 Florida Avenue, Box 140, New Orleans, LA 70119, USA.
| | - Galit Almoznino
- Department of Oral Medicine, Sedation and Maxillofacial Imaging, Orofacial Sensory Clinic, Hebrew University-Hadassah School of Dental Medicine, PO Box 91120, Jerusalem, Israel; Division of Big Data, Department of Community Dentistry, Orofacial Sensory Clinic, Hebrew University-Hadassah School of Dental Medicine, PO Box 91120, Jerusalem, Israel
| | - Giulio Fortuna
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University of Naples, Via Pansini, 5, Naples 80131, Italy
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46
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Kim Y, Kim H, Lee J, Lee JK, Min SJ, Seong J, Rhim H, Tae J, Lee HJ, Choo H. Discovery of β-Arrestin Biased Ligands of 5-HT 7R. J Med Chem 2018; 61:7218-7233. [PMID: 30028132 DOI: 10.1021/acs.jmedchem.8b00642] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Though many studies have been published about therapeutic potentials of selective 5-HT7R ligands, there have been few biased ligands of 5-HT7R. The development of potent and selective biased ligands of 5-HT7R would be of great help in understanding the relationship between pharmacological effects and G protein/β-arrestin signaling pathways of 5-HT7R. In order to identify 5-HT7R ligands with biased agonism, we designed and synthesized a series of tetrahydroazepine derivatives 1 and 2 with arylpyrazolo moiety or arylisoxazolo moiety. Through several biological evaluations such as binding affinity, selectivity profile, and functions in G protein and β-arrestin signaling pathways, 3-(4-chlorophenyl)-1,4,5,6,7,8-hexahydropyrazolo[3,4- d]azepine 1g was discovered as the β-arrestin biased ligand of 5-HT7R. In an electroencephalogram (EEG) test, 1g increased total non-rapid eye movement (NREM) sleep time and decreased total rapid eye movement (REM) sleep time.
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Affiliation(s)
- Youngjae Kim
- Center for Neuro-Medicine , Brain Research Institute, Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea.,Department of Chemistry , Yonsei University , Seoul 03722 , Republic of Korea
| | - Hyunguk Kim
- School of Electrical Engineering , Korea Advanced Institute of Science and Technology , Daejeon 34141 , Republic of Korea
| | - Jieon Lee
- Center for Neuro-Medicine , Brain Research Institute, Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Republic of Korea
| | - Jae Kyun Lee
- Center for Neuro-Medicine , Brain Research Institute, Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea
| | - Sun-Joon Min
- Department of Chemical & Molecular Engineering/Applied Chemistry , Hanyang University , Ansan , Gyeonggi-do 15588 , Republic of Korea
| | - Jihye Seong
- Center for Neuro-Medicine , Brain Research Institute, Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Republic of Korea.,Convergence Research Center for Diagnosis Treatment Care of Dementia , Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea
| | - Hyewhon Rhim
- Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Republic of Korea.,Center for Neuroscience , Brain Research Institute, Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea
| | - Jinsung Tae
- Department of Chemistry , Yonsei University , Seoul 03722 , Republic of Korea
| | - Hyunjoo Jenny Lee
- School of Electrical Engineering , Korea Advanced Institute of Science and Technology , Daejeon 34141 , Republic of Korea
| | - Hyunah Choo
- Center for Neuro-Medicine , Brain Research Institute, Korea Institute of Science and Technology , Seoul 02792 , Republic of Korea.,Division of Bio-Medical Science & Technology, KIST School , Korea University of Science and Technology , Seoul 02792 , Republic of Korea
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47
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The effect of sleep deprivation on emotional memory consolidation in participants reporting depressive symptoms. Neurobiol Learn Mem 2018; 152:10-19. [PMID: 29709569 DOI: 10.1016/j.nlm.2018.04.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 04/04/2018] [Accepted: 04/19/2018] [Indexed: 11/22/2022]
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Everitt H, Baldwin DS, Stuart B, Lipinska G, Mayers A, Malizia AL, Manson CCF, Wilson S. Antidepressants for insomnia in adults. Cochrane Database Syst Rev 2018; 5:CD010753. [PMID: 29761479 PMCID: PMC6494576 DOI: 10.1002/14651858.cd010753.pub2] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Insomnia disorder is a subjective condition of unsatisfactory sleep (e.g. sleep onset, maintenance, early waking, impairment of daytime functioning). Insomnia disorder impairs quality of life and is associated with an increased risk of physical and mental health problems including anxiety, depression, drug and alcohol abuse, and increased health service use. hypnotic medications (e.g. benzodiazepines and 'Z' drugs) are licensed for sleep promotion, but can induce tolerance and dependence, although many people remain on long-term treatment. Antidepressant use for insomnia is widespread, but none is licensed for insomnia and the evidence for their efficacy is unclear. This use of unlicensed medications may be driven by concern over longer-term use of hypnotics and the limited availability of psychological treatments. OBJECTIVES To assess the effectiveness, safety and tolerability of antidepressants for insomnia in adults. SEARCH METHODS This review incorporated the results of searches to July 2015 conducted on electronic bibliographic databases: the Cochrane Central Register of Controlled Trials (CENTRAL, 2015, Issue 6), MEDLINE (1950 to 2015), Embase (1980 to 2015) and PsycINFO (1806 to 2015). We updated the searches to December 2017, but these results have not yet been incorporated into the review. SELECTION CRITERIA Randomised controlled trials (RCTs) of adults (aged 18 years or older) with a primary diagnosis of insomnia and all participant types including people with comorbidities. Any antidepressant as monotherapy at any dose whether compared with placebo, other medications for insomnia (e.g. benzodiazepines and 'Z' drugs), a different antidepressant, waiting list control or treatment as usual. DATA COLLECTION AND ANALYSIS Two review authors independently assessed trials for eligibility and extracted data using a data extraction form. A third review author resolved disagreements on inclusion or data extraction. MAIN RESULTS The search identified 23 RCTs (2806 participants).Selective serotonin reuptake inhibitors (SSRIs) compared with placebo: three studies (135 participants) compared SSRIs with placebo. Combining results was not possible. Two paroxetine studies showed significant improvements in subjective sleep measures at six (60 participants, P = 0.03) and 12 weeks (27 participants, P < 0.001). There was no difference in the fluoxetine study (low quality evidence).There were either no adverse events or they were not reported (very low quality evidence).Tricyclic antidepressants (TCA) compared with placebo: six studies (812 participants) compared TCA with placebo; five used doxepin and one used trimipramine. We found no studies of amitriptyline. Four studies (518 participants) could be pooled, showing a moderate improvement in subjective sleep quality over placebo (standardised mean difference (SMD) -0.39, 95% confidence interval (CI) -0.56 to -0.21) (moderate quality evidence). Moderate quality evidence suggested that TCAs possibly improved sleep efficiency (mean difference (MD) 6.29 percentage points, 95% CI 3.17 to 9.41; 4 studies; 510 participants) and increased sleep time (MD 22.88 minutes, 95% CI 13.17 to 32.59; 4 studies; 510 participants). There may have been little or no impact on sleep latency (MD -4.27 minutes, 95% CI -9.01 to 0.48; 4 studies; 510 participants).There may have been little or no difference in adverse events between TCAs and placebo (risk ratio (RR) 1.02, 95% CI 0.86 to 1.21; 6 studies; 812 participants) (low quality evidence).'Other' antidepressants with placebo: eight studies compared other antidepressants with placebo (one used mianserin and seven used trazodone). Three studies (370 participants) of trazodone could be pooled, indicating a moderate improvement in subjective sleep outcomes over placebo (SMD -0.34, 95% CI -0.66 to -0.02). Two studies of trazodone measured polysomnography and found little or no difference in sleep efficiency (MD 1.38 percentage points, 95% CI -2.87 to 5.63; 169 participants) (low quality evidence).There was low quality evidence from two studies of more adverse effects with trazodone than placebo (i.e. morning grogginess, increased dry mouth and thirst). AUTHORS' CONCLUSIONS We identified relatively few, mostly small studies with short-term follow-up and design limitations. The effects of SSRIs compared with placebo are uncertain with too few studies to draw clear conclusions. There may be a small improvement in sleep quality with short-term use of low-dose doxepin and trazodone compared with placebo. The tolerability and safety of antidepressants for insomnia is uncertain due to limited reporting of adverse events. There was no evidence for amitriptyline (despite common use in clinical practice) or for long-term antidepressant use for insomnia. High-quality trials of antidepressants for insomnia are needed.
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Affiliation(s)
- Hazel Everitt
- University of SouthamptonPrimary Care and Population Sciences, Faculty of MedicineAldermoor Health CentreAldermoor CloseSouthamptonUKSO16 5ST
| | - David S Baldwin
- University of SouthamptonUniversity Department of Psychiatry, Faculty of MedicineSouthamptonUK
| | - Beth Stuart
- University of SouthamptonPrimary Care and Population Sciences, Faculty of MedicineAldermoor Health CentreAldermoor CloseSouthamptonUKSO16 5ST
| | - Gosia Lipinska
- University of Cape TownUCT Sleep Sciences, Department of PsychologyCape TownSouth Africa
| | - Andrew Mayers
- Bournemouth UniversityDepartment of Psychology, Faculty of Science and TechnologyPoole House, Talbot CampusFern BarrowPooleUKBH12 5BB
| | - Andrea L Malizia
- The Burden Centre, Frenchay hospitalDepartment of NeurosurgeryBristolUKBS16 1LE
| | - Christopher CF Manson
- Faculty of Medicine, University of SouthamptonUniversity Department of PsychiatryAcademic Centre, College Keep 4‐12 Terminus TerraceSouthamptonUKSO14 3DT
| | - Sue Wilson
- Imperial College LondonCentre for Neuropsychopharmacology, Division of Brain SciencesBurlington Danes BuildingHammersmith Hospital campusLondonUKW12 0NN
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49
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Harrington MO, Johnson JM, Croom HE, Pennington K, Durrant SJ. The influence of REM sleep and SWS on emotional memory consolidation in participants reporting depressive symptoms. Cortex 2018; 99:281-295. [DOI: 10.1016/j.cortex.2017.12.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 07/25/2017] [Accepted: 12/05/2017] [Indexed: 01/16/2023]
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50
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Peters van Neijenhof RJG, van Duijn E, Comijs HC, van den Berg JF, de Waal MWM, Oude Voshaar RC, van der Mast RC. Correlates of sleep disturbances in depressed older persons: the Netherlands study of depression in older persons (NESDO). Aging Ment Health 2018; 22:233-238. [PMID: 27827534 DOI: 10.1080/13607863.2016.1247421] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Sleep disturbances are common among depressed older persons. To gain insight into sleep disturbances in late-life depression, their occurrence and correlates were assessed. METHODS Baseline data of 294 depressed older persons of the Netherlands Study of Depression in Older persons study were used. A diagnosis of current depression according to the diagnostic and statistical manual of mental disorders-IV (DSM-IV) was assessed with the Composite International Diagnostic Interview. Sleep disturbances were measured with the five-item Women's Health Initiative Insomnia Rating Scale, and considered present with a score of ≥10 points. RESULTS Sleep disturbances were present in 59.9% of the depressed older persons. Bivariate linear regression analyses showed that presence of sleep disturbances was associated with fewer years of education, use of alcohol, the number of chronic diseases, higher pain intensity scores, use of more benzodiazepines, more anxiety and severity of depressive symptoms. In multivariate analyses, severity of depression appeared to be the only independent correlate. CONCLUSIONS Sleep disturbances are highly prevalent in patients with late-life depression and independently correlated with the severity of depression. Treatment of depression may result in improvement of sleep disturbances, although cognitive behavioral interventions that focus on both depression and sleep disturbances may also be effective.
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Affiliation(s)
| | - Erik van Duijn
- a Center for Mental Health Care Delfland , Delft , The Netherlands.,b Department of Psychiatry , Leiden University Medical Center , Leiden , The Netherlands
| | - Hannie C Comijs
- c Department of Psychiatry , EMGO Institute for Health and Care Research , VU University Medical Center/Center for Mental Health Care inGeest , Amsterdam , The Netherlands
| | - Julia F van den Berg
- d Parnassia Psychiatric Institute , Den Haag , The Netherlands.,e Department of Clinical Psychology , Leiden University Medical Center , Leiden , The Netherlands
| | - Margot W M de Waal
- f Department of Public Health and Primary Care , Leiden University Medical Center , Leiden , The Netherlands
| | - Richard C Oude Voshaar
- g Department of Psychiatry , University of Groningen , University Medical Center Groningen, Interdisciplinary Center Psychopathology of Emotion regulation , Groningen , The Netherlands
| | - Roos C van der Mast
- h Department of Psychiatry , Leiden University Medical Center , Leiden , The Netherlands.,i Department of Psychiatry , Collaborative Antwerp Psychiatric Research Institute , University of Antwerp , Antwerp , Belgium
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