Effects of Antidepressants on Sleep.
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ABSTRACT:
SUBMITTER: Wichniak A
PROVIDER: S-EPMC5548844 | biostudies-other | 2017 Aug
REPOSITORIES: biostudies-other
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Project description:Antidepressants are a commonly used, easily accessible, and overall safe treatment option for post-traumatic stress disorder (PTSD). The present review aims to evaluate the efficacy and safety of antidepressants in treating sleep disturbances in patients with PTSD. PubMed and the Cochrane Library were searched (July 2022) for systematic reviews and meta-analyses on the treatment of PTSD. Moreover, PubMed and ClinicalTrials.gov were searched for individual trials investigating the antidepressant treatment of PTSD (up to September 2022), and reference lists of all possibly relevant identified studies were screened. Sleep-related outcomes, i.e., total sleep time, sleep quality, dreams/ nightmares, insomnia, and somnolence, were extracted independently by at least two reviewers. Metaanalytic evaluations were performed wherever possible. 39 randomised controlled trials (RCTs) were identified; data from pooled analyses, reviews, and observational studies were used for antidepressants with a weak evidence base or when their findings were deemed important. Overall, scarce data exist on the effects of antidepressants on sleep outcomes among patients with PTSD. Some evidence may support the use of amitriptyline, nefazodone, paroxetine, and sertraline for improving sleep in patients with PTSD. Τhere was a meta-analytical trend indicating improvement of nightmares with fluoxetine, less insomnia with amitriptyline and more with brofaromine, as well as more somnolence with paroxetine vs. placebo, respectively. However, data from more than 1 RCT with a considerable number of patients were only available for paroxetine. Evidence is insufficient to draw safe conclusions. More and better-designed RCTs, with consistent reporting of sleep-related outcomes, are needed.
| S-EPMC10845105 | biostudies-literature
Project description:Antidepressant pharmacotherapy is to date the most often used treatment for depression, but the exact mechanism of action underlying its therapeutic effect is still unclear. Many theories have been put forward to account for depression, as well as antidepressant activity, but none of them is exhaustive. Neuroimmune endocrine impairment is found in depressed patients; high levels of circulating corticosteroids along with hyperactivation of the immune system, high levels of proinflammatory cytokines, low levels of melatonin in plasma and urine, and disentrainment of circadian rhythms have been demonstrated. Moreover, antidepressant treatment seems to correct or at least to interfere with these alterations. In this review, we summarize the complex neuroimmune endocrine and chronobiological alterations found in patients with depression and how these systems interact with each other. We also explain how antidepressant therapy can modify these systems, along with some possible mechanisms of action shown in animal and human models.
| S-EPMC3280108 | biostudies-literature
Project description:Study objectivesREM sleep behavior disorder (RBD) is associated with antidepressant treatment, especially in younger patients; but quantitative REM sleep without atonia (RSWA) analyses of psychiatric RBD patients remain limited. We analyzed RSWA in adults receiving antidepressants, with and without RBD.DesignWe comparatively analyzed visual, manual, and automated RSWA between RBD and control groups. RSWA metrics were compared between groups, and regression was used to explore associations with clinical variables.SettingTertiary-care sleep center.ParticipantsParticipants included traditional RBD without antidepressant treatment (n = 30, 15 Parkinson disease [PD-RBD] and 15 idiopathic); psychiatric RBD receiving antidepressants (n = 30); and adults without RBD, including antidepressant-treated psychiatric (n = 30), untreated psychiatric (n = 15), and OSA (n = 60) controls.InterventionsN/A.Measurements and resultsRSWA was highest in traditional and psychiatric RBD, intermediate in treated psychiatric controls, and lowest in untreated psychiatric and OSA controls (P < 0.01). RSWA distribution and type also differed between antidepressant-treated patients having higher values in anterior tibialis, and PD-RBD with higher submentalis and tonic RSWA. Psychiatric RBD had significantly younger age at onset than traditional RBD patients (P < 0.01).ConclusionsAntidepressant treatment was associated with elevated REM sleep without atonia (RSWA) even without REM sleep behavior disorder (RBD), suggesting that antidepressants, not depression, promote RSWA. Differences in RSWA distribution and type were also seen, with higher anterior tibialis RSWA in antidepressant-treated patients and higher tonic RSWA in Parkinson disease-RBD patients, which could aid distinction between RBD subtypes. These findings suggest that antidepressants may mediate different RSWA mechanisms or, alternatively, that RSWA type and distribution evolve during progressive neurodegeneration. Further prospective RSWA analyses are necessary to clarify the relationships between antidepressant treatment, psychiatric disease, and RBD.
| S-EPMC4434557 | biostudies-literature
Project description:ObjectivesAntidepressants, among the most commonly prescribed medications, trigger symptoms of REM sleep behavior disorder (RBD) in up to 6% of users. Idiopathic RBD is a very strong prodromal marker of Parkinson disease and other synuclein-mediated neurodegenerative syndromes. It is therefore critically important to understand whether antidepressant-associated RBD is an independent pharmacologic syndrome or a sign of possible prodromal neurodegeneration.DesignProspective cohort study.SettingTertiary sleep disorders center.Participants100 patients with idiopathic RBD, all with diagnosis confirmed on polysomnography, stratified to baseline antidepressant use, with 45 matched controls.Measurements/resultsOf 100 patients, 27 were taking antidepressants. Compared to matched controls, RBD patients taking antidepressants demonstrated significant abnormalities of 12/14 neurodegenerative markers tested, including olfaction (P = 0.007), color vision (P = 0.004), Unified Parkinson Disease Rating Scale II and III (P < 0.001 and 0.007), timed up-and-go (P = 0.003), alternate tap test (P = 0.002), Purdue Pegboard (P = 0.007), systolic blood pressure drop (P = 0.029), erectile dysfunction (P = 0.002), constipation (P = 0.003), depression indices (P < 0.001), and prevalence of mild cognitive impairment (13% vs. 60%, P < 0.001). All these abnormalities were indistinguishable in severity from RBD patients not taking antidepressants. However, on prospective follow-up, RBD patients taking antidepressants had a lower risk of developing neurodegenerative disease than those without antidepressant use (5-year risk = 22% vs. 59%, RR = 0.22, 95%CI = 0.06, 0.74).ConclusionsAlthough patients with antidepressant-associated RBD have a lower risk of neurodegeneration than patients with "purely-idiopathic" RBD, markers of prodromal neurodegeneration are still clearly present. Development of RBD with antidepressants can be an early signal of an underlying neurodegenerative disease.
| S-EPMC3792373 | biostudies-literature
Project description:Antidepressants are widely used for treatment of depression. Imipramine, a typical antidepressant, is recently known to have an effect to restore the expression of brain-derived neurotrophic factor gene, which is decreased in depressed patients, by increasing histone acetylation. However, it is largely unknown whether other antidepressants have similar epigenetic effects to change gene expression. To address this question, we examined the effect of five antidepressants (imipramine, citalopram, duloxetine, amitriptyline, mirtazapine) on expression of genes associated with mental and neurodegenetative disorders. We found that 48-hour treatment with imipramine, citalopram, amitriptyline, mirtazapine, but not duloxetine, caused a large number of differentially expressed genes in primary neocortical neurons in mice. Focused on genes relating to neural protection and neuroplasticity, we discovered that amitriptyline not only enhanced the expression of atf3 and cox2 by increasing histone H3 Lys4 trimethylation (H3K4me3), but also protected neurons against oxygen-glucose deprivation and staurosporine-induced apoptosis. Our study will shed a new insight in understanding of the molecular and epigenetic mechanism of antidepressants.
2015-01-30 | GSE63005 | GEO
Project description:Antidepressants are widely used for treatment of depression. Imipramine, a typical antidepressant, is recently known to have an effect to restore the expression of brain-derived neurotrophic factor gene, which is decreased in depressed patients, by increasing histone acetylation. However, it is largely unknown whether other antidepressants have similar epigenetic effects to change gene expression. To address this question, we examined the effect of five antidepressants (imipramine, citalopram, duloxetine, amitriptyline, mirtazapine) on expression of genes associated with mental and neurodegenetative disorders. We found that 48-hour treatment with imipramine, citalopram, amitriptyline, mirtazapine, but not duloxetine, caused a large number of differentially expressed genes in primary neocortical neurons in mice. Focused on genes relating to neural protection and neuroplasticity, we discovered that amitriptyline not only enhanced the expression of atf3 and cox2 by increasing histone H3 Lys4 trimethylation (H3K4me3), but also protected neurons against oxygen-glucose deprivation and staurosporine-induced apoptosis. Our study will shed a new insight in understanding of the molecular and epigenetic mechanism of antidepressants. Mouse primary neuronal cultures were used to evaluate 48 hour effects of antidepressants. Briefly, cultured neurons at day in vitro 3 (DIV3) were treated with 5µM imipramine, 10 µM citalopram, 0.1 µM duloxetine, 5 µM amitriptylline, 50 µM mirtazepine. These cultures were harvested after 48 hours (DIV5).
2015-01-30 | E-GEOD-63005 | biostudies-arrayexpress
Project description:Growing evidence shows that nerves play an active role in cancer development and progression by altering crucial molecular pathways and cell functions. Conversely, the use of neurotropic drugs, such as tricyclic antidepressants (TCAs), may modulate these molecular signals with a therapeutic purpose based on a direct antitumoral effect and beyond the TCA use to treat neuropathic pain in oncology patients. In this review, we discuss the TCAs' safety and their central effects against neuropathic pain in cancer, and the antitumoral effects of TCAs in in vitro and preclinical studies, as well as in the clinical setting. The current evidence points out that TCAs are safe and beneficial to treat neuropathic pain associated with cancer and chemotherapy, and they block different molecular pathways used by cancer cells from different locations for tumor growth and promotion. Likewise, ongoing clinical trials evaluating the antineoplastic effects of TCAs are discussed. TCAs are very biologically active compounds, and their repurposing as antitumoral drugs is a promising and straightforward approach to treat specific cancer subtypes and to further define their molecular targets, as well as an interesting starting point to design analogues with increased antitumoral activity.
| S-EPMC9265090 | biostudies-literature
Project description:Study objectivesPatients presenting with excessive sleepiness are frequently using antidepressant medication(s). While practice parameters recommend discontinuation of antidepressants prior to multiple sleep latency testing (MSLT), data examining the impact of tapering these medications on MSLT results are limited.MethodsAdult patients who underwent MSLT at Mayo Clinic Rochester, Minnesota, between 2014 and 2018 were included. Clinical and demographic characteristics, medications, including use of rapid eye movement-suppressing antidepressants (REMS-ADs) at assessment and during testing, actigraphy, and polysomnography data were manually abstracted. The difference in number of sleep-onset rapid eye movement periods (SOREMs), proportion with ≥2 SOREMs, and mean sleep latency in patients who were using REMS-ADs and discontinued prior to testing versus those who remained on REMS-ADs were examined. At our center, all antidepressants are discontinued 2 weeks prior to MSLT, wherever feasible; fluoxetine is stopped 6 weeks prior. Regression analyses accounting for demographic, clinical, and other medication-related confounders were performed.ResultsA total of 502 patients (age = 38.18 ± 15.90 years; 67% female) underwent MSLT; 178 (35%) were taking REMS-ADs at the time of assessment. REMS-AD was discontinued prior to MSLT in 121/178 (70%) patients. Patients whose REMS-AD was discontinued prior to MSLT were more likely to have ≥2 SOREMs (odds ratio: 12.20; 95% confidence interval: 1.60-92.94) compared with patients on REMS-ADs at MSLT. They also had shorter mean sleep latency (8.77 ± 0.46 vs 10.21 ± 0.28 minutes; P > .009) and higher odds of having ≥2 SOREMs (odds ratio: 2.22; 95% confidence interval: 1.23-3.98) compared with patients not taking REMS-ADs at initial assessment. These differences persisted after regression analyses accounting for confounders.ConclusionsPatients who taper off REMS-ADs prior to MSLT are more likely to demonstrate ≥2 SOREMs and have a shorter mean sleep latency. Pending further prospective investigations, clinicians should preferably withdraw REMS-ADs before MSLT. If this is not done, the test interpretation should include a statement regarding the potential effect of the drugs on the results.
| S-EPMC8034203 | biostudies-literature
Project description:Study objectivesSleep-related adverse effects during acute treatment with antidepressants undermine adherence and impede remission. We aimed to address subtypes of sleep-related adverse effects and depict the relationship between dose and sleep-related adverse events.MethodsWe searched PubMed, Embase, Cochrane Central Register of Controlled Trials, and Web of Science for double-blind randomized controlled trials of depression published before April 30th, 2023. Eligible studies reporting sleep-related adverse effects during short-term monotherapy were included. The odds ratios (ORs) for sleep-related adverse effects were addressed with network meta-analysis. A Bayesian approach was used to depict the dose-effect relationship. Heterogeneity among studies was assessed using the τ2 and I2 statistics. Sensitivity analyses were performed without studies featuring high risk of bias.ResultsStudies with 64 696 patients were examined from 216 trials. Compared to placebo, 13 antidepressants showed higher ORs for somnolence, of which fluvoxamine (OR = 6.32; 95% CI: 3.56 to 11.21) ranked the top. Eleven had higher risks for insomnia, reboxetine ranked the top (OR = 3.47; 95% CI: 2.77 to 4.36). The dose-effect relationships curves between somnolence or insomnia and dose included linear shape, inverted U-shape, and other shapes. There was no significant heterogeneity among individual studies. The quality of evidence for results in network meta-analyses was rated as very low to moderate by Grading of Recommendations Assessment, Development, and Evaluation.ConclusionsMost antidepressants had higher risks for insomnia or somnolence than placebo. The diverse relationship curves between somnolence or insomnia and dose of antidepressants can guide clinicians to adjust the doses. These findings suggest clinicians pay more attention to sleep-related adverse effects during acute treatment with antidepressants.
| S-EPMC10566234 | biostudies-literature
Project description:Background:Sleep is one of the most essential processes required to maintain a healthy human life, and patients experiencing psychiatric illness often experience an inability to sleep. The aim of this study is to test the hypothesis that antidepressant compounds with strong binding affinities for the serotonin 5-HT2C receptor, histamine H1 receptors, or norepinephrine transporter (NET) will be associated with the highest odds of somnolence. Methods:Post-marketing cases of patient adverse drug reactions were obtained from the United States Food and Drug Administration Adverse Events Reporting System (FAERS) during the reporting window of January 2004 to September 2019. Disproportionality analyses of antidepressants reporting somnolence were calculated using the case/non-case method. The reporting odds-ratios (ROR) and corresponding 95% confidence interval (95% CI) were computed and all computations and graphing conducted in R. Results:There were a total of 69,196 reported cases of somnolence out of a total of 7,366,864 cases reported from January 2004 to September 2019. Among the 30 antidepressants assessed, amoxapine (n = 16) reporting odds-ratio (ROR) = 7.1 (95% confidence interval [CI] [4.3-11.7]), atomoxetine (n = 1,079) ROR = 6.6 (95% CI [6.2-7.1]), a compound generally approved for attention deficit hyperactivity disorder (ADHD), and maprotiline (n = 18) ROR = 6.3 (95% CI, 3.9-10.1) were the top three compounds ranked with the highest reporting odds of somnolence. In contrast, vortioxetine (n = 52) ROR = 1.3 (95% CI [1.0-1.8]), milnacipran (n = 58) ROR = 2.1 (95% CI [1.7-2.8]), and bupropion (n = 1,048) ROR = 2.2 (95% CI [2.1-2.4]) are least significantly associated with somnolence. Moreover, levomilnacipran (n = 1) ROR = 0.4 (95% CI [0.1-2.9]) was not associated with somnolence. Conclusion:Among the thirty tested antidepressants, consistent with the original hypothesis, amoxepine has strongest 5-HT2C receptor binding affinity and has the highest reporting odds of somnolence. Atomoxetine, ranked second in reporting odds of somnolence overall, binds to the NET with with the strongest binding affinity among the thirty compounds. Mirtazapine, a tetracyclic antidepressant, was ranked 11th in reporting odds of somnolence and had the strongest H1 receptor binding affinity. This study provides an informative ranking of somnolence among thirty antidepressant compounds with an already wide array of clinical indications as well as provides insight into potential drug repurposing in psychopharmacology.
| S-EPMC7071824 | biostudies-literature