-
International Journal of Environmental... May 2024Lifestyle factors, including sleep characteristics, have been implicated in the development of metabolic syndrome, particularly among shift workers. This study aimed to...
Lifestyle factors, including sleep characteristics, have been implicated in the development of metabolic syndrome, particularly among shift workers. This study aimed to explore the relationship between shift work, sleep duration, social jetlag, and the risk of metabolic syndrome among U.S. workers and the moderating effect of sleep duration and social jetlag on this relationship. Data from the National Health and Nutrition Examination Survey (NHANES) in 2017-2020 March were analyzed. Poisson regression models were employed to examine associations. Among 4136 U.S. workers, 53.3% had metabolic syndrome, with a higher proportion of shift workers (63.8% vs. 56.7%, = 0.001) and those sleeping less than 6 h or more than 9 h per week (22.3% vs. 19.1%, = 0.044) in the affected group. Shift workers were initially found to have an increased risk of metabolic syndrome (Coef. = 0.03, 95% CI: 0.02, 0.16); however, this association was mitigated when accounting for the interaction with social jetlag. Specifically, 1 to <2 h of social jetlag interacted significantly, increasing metabolic risk (Coef. = 0.15, 95% CI: 0.09, 0.22), whereas 1 to <2 h alone showed a protective effect (Coef. = -0.11, 95% CI: -0.17, -0.06). These findings suggest that optimizing sleep schedules and addressing social jetlag may be crucial in mitigating metabolic syndrome risks among shift workers.
Topics: Humans; Metabolic Syndrome; Male; Adult; Sleep; Female; Middle Aged; Nutrition Surveys; Shift Work Schedule; United States; Jet Lag Syndrome; Risk Factors; Young Adult; Work Schedule Tolerance; Sleep Duration
PubMed: 38928916
DOI: 10.3390/ijerph21060668 -
Biomolecules May 2024Insomnia, also known as sleeplessness, is a sleep disorder due to which people have trouble sleeping, followed by daytime sleepiness, low energy, irritability, and a...
Insomnia, also known as sleeplessness, is a sleep disorder due to which people have trouble sleeping, followed by daytime sleepiness, low energy, irritability, and a depressed mood. It may result in an increased risk of accidents of all kinds as well as problems focusing and learning. Dietary supplements have become popular products for alleviating insomnia, while the lenient requirements for pre-market research result in unintelligible mechanisms of different combinations of dietary supplements. In this study, we aim to systematically identify the molecular mechanisms of a sleep cocktail's pharmacological effects based on findings from network pharmacology and molecular docking. A total of 249 targets of the sleep cocktail for the treatment of insomnia were identified and enrichment analysis revealed multiple pathways involved in the nervous system and inflammation. Protein-protein interaction (PPI) network analysis and molecular complex detection (MCODE) analysis yielded 10 hub genes, including AKT1, ADORA1, BCL2, CREB1, IL6, JUN, RELA, STAT3, TNF, and TP53. Results from weighted correlation network analysis (WGCNA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of insomnia-related transcriptome data from peripheral blood mononuclear cells (PBMCs) showed that a sleep cocktail may also ease insomnia via regulating the inflammatory response. Molecular docking results reveal good affinity of Sleep Cocktail to 9 selected key targets. It is noteworthy that the crucial target HSP90AA1 binds to melatonin most stably, which was further validated by MD simulation.
Topics: Humans; Molecular Docking Simulation; Network Pharmacology; Protein Interaction Maps; Sleep Initiation and Maintenance Disorders; Dietary Supplements; Sleep
PubMed: 38927034
DOI: 10.3390/biom14060630 -
BMC Medicine Jun 2024To evaluate the neurological alterations induced by Omicron infection, to compare brain changes in chronic insomnia with those in exacerbated chronic insomnia in Omicron...
BACKGROUND
To evaluate the neurological alterations induced by Omicron infection, to compare brain changes in chronic insomnia with those in exacerbated chronic insomnia in Omicron patients, and to examine individuals without insomnia alongside those with new-onset insomnia.
METHODS
In this study, a total of 135 participants were recruited between January 11 and May 4, 2023, including 26 patients with chronic insomnia without exacerbation, 24 patients with chronic insomnia with exacerbation, 40 patients with no sleep disorder, and 30 patients with new-onset insomnia after infection with Omicron (a total of 120 participants with different sleep statuses after infection), as well as 15 healthy controls who were never infected with Omicron. Neuropsychiatric data, clinical symptoms, and multimodal magnetic resonance imaging data were collected. The gray matter thickness and T1, T2, proton density, and perivascular space values were analyzed. Associations between changes in multimodal magnetic resonance imaging findings and neuropsychiatric data were evaluated with correlation analyses.
RESULTS
Compared with healthy controls, gray matter thickness changes were similar in the patients who have and do not have a history of chronic insomnia groups after infection, including an increase in cortical thickness near the parietal lobe and a reduction in cortical thickness in the frontal, occipital, and medial brain regions. Analyses showed a reduced gray matter thickness in patients with chronic insomnia compared with those with an aggravation of chronic insomnia post-Omicron infection, and a reduction was found in the right medial orbitofrontal region (mean [SD], 2.38 [0.17] vs. 2.67 [0.29] mm; P < 0.001). In the subgroups of Omicron patients experiencing sleep deterioration, patients with a history of chronic insomnia whose insomnia symptoms worsened after infection displayed heightened medial orbitofrontal cortical thickness and increased proton density values in various brain regions. Conversely, patients with good sleep quality who experienced a new onset of insomnia after infection exhibited reduced cortical thickness in pericalcarine regions and decreased proton density values. In new-onset insomnia patients post-Omicron infection, the thickness in the right pericalcarine was negatively correlated with the Self-rating Anxiety Scale (r = - 0.538, P = 0.002, P = 0.004) and Self-rating Depression Scale (r = - 0.406, P = 0.026, P = 0.026) scores.
CONCLUSIONS
These findings help us understand the pathophysiological mechanisms involved when Omicron invades the nervous system and induces various forms of insomnia after infection. In the future, we will continue to pay attention to the dynamic changes in the brain related to insomnia caused by Omicron infection.
Topics: Humans; COVID-19; Male; Female; Middle Aged; Adult; Magnetic Resonance Imaging; Sleep Initiation and Maintenance Disorders; Sleep Quality; SARS-CoV-2; Neuroimaging; Brain; Multimodal Imaging; Gray Matter; Aged
PubMed: 38926881
DOI: 10.1186/s12916-024-03487-9 -
Zhongguo Dang Dai Er Ke Za Zhi =... Jun 2024To study the characteristics and clinical value of intestinal metabolites in children aged 4-6 years with obstructive sleep apnea-hypopnea syndrome (OSAHS).
OBJECTIVES
To study the characteristics and clinical value of intestinal metabolites in children aged 4-6 years with obstructive sleep apnea-hypopnea syndrome (OSAHS).
METHODS
A total of 31 children aged 4-6 years with OSAHS were prospectively enrolled as the test group, and 24 healthy children aged 4-6 years were included as the control group. Relevant clinical indicators were recorded. Fecal samples were collected, and non-targeted metabolomics analysis using liquid chromatography-mass spectrometry was performed to detect all metabolites.
RESULTS
A total of 206 metabolites were detected, mainly amino acids and their derivatives. There was a significant difference in the overall composition of intestinal metabolites between the test and control groups (<0.05). Eighteen different metabolites were selected, among which six (N-acetylmethionine, L-methionine, L-lysine, DL-phenylalanine, L-tyrosine, and L-isoleucine) had receiver operating characteristic curve areas greater than 0.7 for diagnosing OSAHS. Among them, N-acetylmethionine had the largest area under the curve, which was 0.807, with a sensitivity of 70.83% and a specificity of 80.65%. Correlation analysis between different metabolites and clinical indicators showed that there were positive correlations between the degree of tonsil enlargement and enterolactone, between uric acid and phenylacetaldehyde, between blood glucose and acetylmethionine, and between cholesterol and 9-bromodiphenyl and procaine (<0.05). There were negative correlations between the degree of tonsil enlargement and N-methyltyramine, aspartate aminotransferase and indolepropionic acid and L-isoleucine, between alanine aminotransferase and DL-phenylalanine, between indolepropionic acid and L-isoleucine, between uric acid and hydroxyquinoline, and between urea nitrogen and N,N-dicyclohexylurea (<0.05). The metabolic functional pathways affected by differential metabolites mainly included riboflavin metabolism, arginine and proline metabolism, pantothenic acid and coenzyme A biosynthesis, cysteine and methionine metabolism, lysine degradation and glutathione metabolism.
CONCLUSIONS
Intestinal metabolites and metabolic functions are altered in children aged 4-6 years with OSAHS, primarily involving amino acid metabolism disorders. The screened differential intestinal metabolites have potential screening and diagnostic value as biomarkers for OSAHS.
Topics: Humans; Child; Male; Child, Preschool; Female; Sleep Apnea, Obstructive; Intestines; Methionine
PubMed: 38926373
DOI: 10.7499/j.issn.1008-8830.2309129 -
European Respiratory Review : An... Apr 2024Paediatric sleep diagnostics is performed using complex multichannel tests in specialised centres, limiting access and availability and resulting in delayed diagnosis... (Review)
Review
Paediatric sleep diagnostics is performed using complex multichannel tests in specialised centres, limiting access and availability and resulting in delayed diagnosis and management. Such investigations are often challenging due to patient size (prematurity), tolerability, and compliance with "gold standard" equipment. Children with sensory/behavioural issues, at increased risk of sleep disordered breathing (SDB), often find standard diagnostic equipment difficult.SDB can have implications for a child both in terms of physical health and neurocognitive development. Potential sequelae of untreated SDB includes failure to thrive, cardiopulmonary disease, impaired learning and behavioural issues. Prompt and accurate diagnosis of SDB is important to facilitate early intervention and improve outcomes.The current gold-standard diagnostic test for SDB is polysomnography (PSG), which is expensive, requiring the interpretation of a highly specialised physiologist. PSG is not feasible in low-income countries or outwith specialist sleep centres. During the coronavirus disease 2019 pandemic, efforts were made to improve remote monitoring and diagnostics in paediatric sleep medicine, resulting in a paradigm shift in SDB technology with a focus on automated diagnosis harnessing artificial intelligence (AI). AI enables interrogation of large datasets, setting the scene for an era of "sleep-omics", characterising the endotypic and phenotypic bedrock of SDB by drawing on genetic, lifestyle and demographic information. The National Institute for Health and Care Excellence recently announced a programme for the development of automated home-testing devices for SDB. Scorer-independent scalable diagnostic approaches for paediatric SDB have potential to improve diagnostic accuracy, accessibility and patient tolerability; reduce health inequalities; and yield downstream economic and environmental benefits.
Topics: Humans; Child; Sleep Apnea Syndromes; COVID-19; Polysomnography; Sleep; Child, Preschool; Predictive Value of Tests; Artificial Intelligence; Infant; Prognosis; Adolescent; SARS-CoV-2; Risk Factors
PubMed: 38925792
DOI: 10.1183/16000617.0041-2024 -
BMJ Open Jun 2024Insomnia is a common health problem and cognitive-behavioural therapy (CBT) is recommended as a treatment. As there is a critical shortage of CBT-trained therapists, we... (Comparative Study)
Comparative Study Randomized Controlled Trial
INTRODUCTION
Insomnia is a common health problem and cognitive-behavioural therapy (CBT) is recommended as a treatment. As there is a critical shortage of CBT-trained therapists, we developed a digital CBT application (IIIP MED: Sleepy Med) as Software as a Medical Device for insomnia. This paper describes the study protocol for an exploratory randomised controlled trial (RCT) to evaluate effectiveness and safety of our developed digital CBT (dCBT) for 5 weeks compared with zolpidem tartrate for patients with insomnia disorder.
METHODS AND ANALYSIS
This proposed multicentre exploratory RCT will be conducted at the outpatient clinic of Chiba University Hospital, Akita University Hospital and Yoyogi Sleep Disorder Center, Japan. The study population comprises two parallel groups (dCBT and zolpidem) consisting of 15 participants each (n=30 in total) diagnosed with insomnia disorder who remain symptomatic at 4 weeks after sleep hygiene education. We will evaluate the effectiveness at baseline, week 5 (post-intervention) and week 10 (follow-up). The primary outcome will be the change of subjective sleep onset latency at week 5 from baseline. Secondary outcomes include sleep-related outcomes, such as objective sleep onset latency measured by mobile electroencephalography, functional improvement during the daytime and quality of life.
ETHICS AND DISSEMINATION
Ethics approval was granted by the Institutional Review Board of Chiba University Hospital (K2023001). All participants will be required to provide written informed consent. Results will be published in international journals.
TRIAL REGISTRATION NUMBER
jRCT2032230353.
Topics: Humans; Sleep Initiation and Maintenance Disorders; Zolpidem; Cognitive Behavioral Therapy; Hypnotics and Sedatives; Adult; Randomized Controlled Trials as Topic; Female; Male; Treatment Outcome; Japan; Middle Aged
PubMed: 38925698
DOI: 10.1136/bmjopen-2023-081205 -
PloS One 2024Obstructive sleep apnea (OSA) is characterized by cyclic normoxic and hypoxic conditions (intermittent hypoxia, IH) induced by the repeated closure of the upper-airway...
Obstructive sleep apnea (OSA) is characterized by cyclic normoxic and hypoxic conditions (intermittent hypoxia, IH) induced by the repeated closure of the upper-airway respiratory tract. As a pathomechanism of OSA, IH results in various comorbidities via chronic inflammation and related pathways. However, the role of other inflammatory cells, such as lymphocytes, has not been well-explored. This study aimed to examine the effects of IH on the distribution and balance of T cell subsets and other related cytokines, and mechanisms in the immune system. We modified OSA mouse model (male C57BL/6N male) using our customized chamber that controls specific sleep and oxygenic cycles. To induce hypoxia, the IH group was repeatedly exposed to 5% O2 and 21% O2 lasting for 120 s each for 7 h daily for 4 weeks. Mice were then subjected to a recovery period of 4 weeks, in which IH stimulation was ceased. T cells and related cytokines were analyzed using flow cytometry and immunohistochemistry. Compared with the control group, the IH group had significantly lower levels of CD4+CD25+Foxp3+ regulatory T cells but higher levels of Th 17, IL-4, HIF-1, and inflammatory cytokines. After the recovery period, these altered changes in the immune cells were recovered, and we found no significant difference in their levels between the control and recovery groups. This study revealed that the Th17/Treg ratio is increased by intermittent hypoxia, and this imbalance can explain immune-related diseases, including recently reported allergies, autoimmune, and even cancer diseases, arising from OSA.
Topics: Animals; Sleep Apnea, Obstructive; T-Lymphocytes, Regulatory; Male; Hypoxia; Th17 Cells; Mice; Disease Models, Animal; Mice, Inbred C57BL; Cytokines; Hypoxia-Inducible Factor 1, alpha Subunit; Interleukin-4
PubMed: 38913648
DOI: 10.1371/journal.pone.0305230 -
JAMA Network Open Jun 2024
Topics: Humans; Sleep Apnea, Obstructive; Mental Disorders; Male; Female; Middle Aged; Adult; Comorbidity
PubMed: 38913379
DOI: 10.1001/jamanetworkopen.2024.16325 -
JAMA Network Open Jun 2024Obstructive sleep apnea (OSA) is a common condition in older adult (aged >65 years) populations, but more mechanistic research is needed to individualize treatments....
IMPORTANCE
Obstructive sleep apnea (OSA) is a common condition in older adult (aged >65 years) populations, but more mechanistic research is needed to individualize treatments. Previous evidence has suggested an association between OSA and posttraumatic stress disorder (PTSD) but is limited by possible selection bias. High-quality research on this association with a careful evaluation of possible confounders may yield important mechanistic insight into both conditions and improve treatment efforts.
OBJECTIVE
To investigate the association of current PTSD symptoms and PTSD diagnosis with OSA.
DESIGN, SETTING, AND PARTICIPANTS
This cross-sectional study of twin pairs discordant for PTSD, which allows for adjustment for familial factors, was conducted using in-laboratory polysomnography from March 20, 2017, to June 3, 2019. The study sample comprised male veteran twins recruited from the Vietnam Era Twin Registry. The data analysis was performed between June 11, 2022, and January 30, 2023.
EXPOSURE
Symptoms of PTSD in twins who served in the Vietnam War. Diagnosis of PTSD was a secondary exposure.
MAIN OUTCOMES AND MEASURES
Obstructive sleep apnea was assessed using the apnea-hypopnea index (AHI) (≥4% oxygen saturation criterion as measured by events per hour) with overnight polysomnography. Symptoms of PTSD were assessed using the PTSD Checklist (PCL) and structured clinical interview for PTSD diagnosis.
RESULTS
A total of 181 male twins (mean [SD] age, 68.4 [2.0] years) including 66 pairs discordant for PTSD symptoms and 15 pairs discordant for a current PTSD diagnosis were evaluated. In models examining the PCL and OSA within pairs and adjusted for body mass index (BMI) and other sociodemographic, cardiovascular, and psychiatric risk factors (including depression), each 15-point increase in PCL was associated with a 4.6 (95% CI, 0.1-9.1) events-per-hour higher AHI. Current PTSD diagnosis was associated with an adjusted 10.5 (95% CI, 5.7-15.3) events-per-hour higher AHI per sleep-hour. Comparable standardized estimates of the association of PTSD symptoms and BMI with AHI per SD increase (1.9 events per hour; 95% CI, 0.5-3.3 events per hour) were found.
CONCLUSIONS AND RELEVANCE
This cross-sectional study found an association between PTSD and sleep-disordered breathing. The findings have important public health implications and may also enhance understanding of the many factors that potentially affect OSA pathophysiology.
Topics: Humans; Stress Disorders, Post-Traumatic; Male; Sleep Apnea, Obstructive; Cross-Sectional Studies; Aged; Veterans; Middle Aged; Vietnam Conflict; Polysomnography; Diseases in Twins; Twins
PubMed: 38913378
DOI: 10.1001/jamanetworkopen.2024.16352 -
Journal of Applied Biomedicine Jun 2024The current obstructive sleep apnea (OSA) diagnostic uses polysomnography or limited polygraphy and requires specialized personnel and technical equipment. Glycoprotein...
BACKGROUND
The current obstructive sleep apnea (OSA) diagnostic uses polysomnography or limited polygraphy and requires specialized personnel and technical equipment. Glycoprotein biomarkers and microRNAs are being explored as a possible new method for screening. We aimed to evaluate whether certain biomarkers and microRNA, previously identified as related to OSA, could be influenced by factors such as gender, age, and obesity level in patients with OSA.
METHODS
In this retrospective analytical study, patients with moderate to severe OSA (n = 130) were compared with the control group. Serum levels of selected biomarkers and microRNA were taken from both groups. The group of OSA patients was then stratified by gender, obesity level, and age to see the possible influence of those variables on biomarker levels.
RESULTS
Levels of all studied biomarkers - C-reactive protein (CRP), high-sensitivity troponin I (hsTnI), pentraxin-3 (PTX-3), and microRNA-499 were significantly higher in patients with OSA compared to the control group. In the OSA group only hsTnI showed a statistically significant relationship with gender. Levels of CRP and hsTnI showed a significant dependence on the level of obesity. Dependency on age was proven for hsTnI. CRP, PTX-3, and microRNA-499 did not have any statistically significant relationship with age.
CONCLUSION
We found that serum levels of pentraxin-3 and microRNA-499 in patients with moderate to severe obstructive sleep apnoea are independent of gender, obesity, and age. CRP was affected by the level of obesity and hsTnI was influenced by all 3 variables. We consider these findings important for further research of OSA biomarkers.
Topics: Humans; Sleep Apnea, Obstructive; Male; Female; Middle Aged; Biomarkers; MicroRNAs; Obesity; C-Reactive Protein; Adult; Age Factors; Sex Factors; Retrospective Studies; Glycoproteins; Aged; Serum Amyloid P-Component; Troponin I
PubMed: 38912863
DOI: 10.32725/jab.2024.011