Sleep and immune function

A narrative review of sleep and breast cancer: from epidemiology to mechanisms

Breast cancer is the leading cause of cancer-related death and the most common cancer among women worldwide. It is crucial to identify potentially modifiable risk factors to intervene and prevent breast cancer effectively. Sleep factors have emerged as a potentially novel risk factor for female breast cancer. Current epidemiologic studies suggest a significant impact of sleep factors on breast cancer. Exposure to abnormal sleep duration, poor sleep quality, sleep disorders, sleep medication use, or night shift work can increase the risk of breast cancer by decreasing melatonin secretion, disrupting circadian rhythm, compromising immune function, or altering hormone levels. However, there are still controversies regarding the epidemiologic association, and the underlying mechanisms have yet to be fully elucidated. This paper summarizes the epidemiologic evidence on the associations between sleep factors, including sleep duration, sleep quality, sleep disorders, sleep medication use, sleep habits, and night shift work, and the development of breast cancer. The potential mechanisms underlying these associations were also reviewed.

Causal Association Between Sleep Deprivation and Glioblastoma Risk: Insights from Multi-Omics Analysis

Emerging evidence suggests that sleep deprivation may contribute to cancer risk. However, the genetic association between sleep deprivation and glioblastoma (GBM) remains unexplored. This study aimed to investigate the causal relationship between sleep traits and GBM using genome-wide association study (GWAS) data of sleep duration, sleeplessness, GBM, and immune cell traits from the UK Biobank and FinnGen databases. Mendelian randomization (MR) analyses were conducted to assess potential causal links between sleep traits and GBM risk. Mediation analysis was performed to identify immune mediators affected by sleep duration that might influence GBM development. Single-nucleus RNA sequencing (snRNA-seq) was utilized to examine cellular subpopulation changes in brain tissue from sleep-deprived (SD) and ad libitum sleep mice. Additionally, a mouse model of sleep deprivation was established for transcriptomic analysis. We found a significant causal association between reduced sleep duration and increased GBM risk (IVW OR = 6.000 × 10-5, P = 0.003, Bonferroni P = 0.025). Sleeplessness also emerged as a potential risk factor for GBM (OR-IVW = 20.221, P = 0.038). Mediation analysis identified CD80 expression on plasmacytoid dendritic cells (pDCs) as a mediator in the association between sleep duration and GBM, with a mediation effect of 0.256. SnRNA-seq confirmed significant alterations in CD80 + pDCs in sleep-deprived mice. Transcriptomic analysis of SD mice demonstrated upregulation of GBM-related markers (Egfr, Tert, and Mgmt) and associated signaling pathways. These findings suggest a potential causal link between insufficient sleep and increased GBM risk, highlighting the importance of sleep management for GBM patients.

Poor sleep and high rheumatoid arthritis risk: Evidence from large UK Biobank cohort

OBJECTIVE

To evaluate the relationship between sleep behaviors and rheumatoid arthritis (RA) risk.

METHODS

First, based on large-scale data from the UK Biobank, we analyzed the associations between multiple sleep factors and RA risk and calculated a poor sleep score (PSS) to assess their combined effect. Then we constructed genetic risk scores (GRS) based on a large genome-wide association study and assessed the interaction or combined effect of sleep and genetic factors on RA risk. Finally, we conducted a case-control study to explore the effect of RA on sleep.

RESULTS

Sleep duration, getting up, napping during the day, insomnia, and daytime dozing were associated with the risk of RA, but no associations were observed for chronotype and snoring with RA. Participants in the high genetic risk and high PSS group had a 363.1% higher risk of developing RA compared to those with low genetic risk and low PSS. We also found that women were more likely than men to be affected by the combined effects of PSS and GRS. In the case-control study, there were statistically significant associations of RA with getting up, PSS grade and PSS.

CONCLUSIONS

Unhealthy sleep patterns were associated with increasing risk of RA among participants with low, intermediate, or high genetic risk.

Molecular basis identification and hypnotic drug interactions for cognitive impairment related to sleep deprivation

Chronic sleep deprivation can lead to cognitive impairment which makes it difficult to think, focus, and make comprehensive decisions. This in turn leads to the progression and increased risk of several diseases. This study aimed to explore potential drug targets and biomarkers underlying the increased disease risk due to sleep deprivation, including stress responses, immune dysfunction, and metabolic dysregulation. Four datasets namely GSE40562, GSE98566, GSE98582 for sleep deprivation, and GSE26576 normal brain cells were utilized to understand the molecular basis and potential drug targets associated with sleep deprivation. The GEO2R tool, Robust rank aggregations, and Venny were used to retrieve the common DEGs. Functional gene and pathway analyses were carried out via GO and the KEGG analyses. The STRING and CytoHuba plugins were utilized to identify the protein-protein interactions (PPIs) as well as the hub genes in the main PPI subnetworks following the drug interaction of the hub genes and GEPIA-based survival analysis of the DEGs. A total of 160 common DEGs were retrieved from all four datasets. Among them, 65 were down-regulated and 95 were up-regulated. TOP2A, AURKB, NEFL, CDC42, ASPM, GAP43, PVALB, NUF2, CALM1, TPR, KIF5B, KIF15, TROAP, NDC80, PBK, MKI67, SST, AHSP, ALAS2, and NEFH were retrieved as hub genes. While based on drug interaction, survival analysis and gene expression profile eight hub gene named TOP2A, AURKB, PVALB, CALM1, KIF5B, PBK, MKI67, and SST were found to be potential drug candidates and significantly correlated with infiltration levels of CD8 + T cells, B cells, macrophages, CD4 + T cells, neutrophils, and dendritic cells. These genes might play a role in sleep disorders via various pathways associated with neurodegeneration and diseases, potentially serving as biomarkers to support treatment and diagnosis.

The role of sleep traits in prostate, endometrial, and epithelial ovarian cancers: An observational and Mendelian randomisation study

Background

Sleep traits may influence cancer risk; however, their associations with prostate (PCa), endometrial (ECa), and epithelial ovarian (EOCa) cancer remain unclear.

Methods

We conducted an observational analysis using the UK Biobank cohort and a two-sample Mendelian randomisation (MR) analysis to investigate the association of six sleep traits-duration, chronotype, insomnia, daytime napping, daytime sleepiness, and snoring-with PCa, ECa, and EOCa risk. Cox proportional hazards models were used for the observational analysis, while the inverse variance-weighted (IVW) method was applied in MR, with multiple sensitivity analyses. A Bonferroni correction accounted for multiple testing.

Results

Among 8,608 PCa, 1,079 ECa, and 680 EOCa incident diagnoses (median follow-up: 6.9 years), snoring was associated with reduced EOCa risk (HR=0.78, 95%CI: 0.62-0.98), while daytime sleepiness was associated with increased EOCa risk (HR=1.23, 95%CI: 1.03-1.47). However, these associations were not confirmed in MR. MR suggested higher odds of PCa (OR IVW =1.05, 95%CI: 1.01-1.11) and aggressive PCa (OR IVW =1.10, 95%CI: 1.02-1.19) for evening compared to morning chronotype. None of the findings survived multiple testing correction.

Conclusion

Sleep traits were not associated with PCa, ECa, or EOCa risk, but evening chronotype may increase PCa risk. Further research is needed to verify this association and investigate potential underlying mechanisms.

Impact

The proposed results have potential utility in reproductive cancer prevention.

What is already known on this topic

Sleep traits have been implicated in cancer risk, but their associations with prostate, endometrial, and epithelial ovarian cancer remain unclear.

What this study adds

This study found suggestive evidence that an evening chronotype may be associated with an increased risk of overall and aggressive prostate cancer.

How this study might affect research practice or policy

Further research is needed to confirm the potential association between chronotype and prostate cancer risk, which could inform personalised cancer prevention strategies.

Neuroimmunology and Sleep

The immune system and sleep are inextricably linked in both health and pathological conditions. Tightly regulated neuroimmune processes are critical for the physiological maintenance of healthy sleep. Reciprocally, sleep disturbances can detrimentally affect immune homeostasis and predispose to increased risk of autoimmune conditions, which themselves are bidirectionally associated with a higher risk of sleep disturbances. Autoimmune diseases of the central nervous system (CNS), particularly conditions that affect neuroanatomical regions involved in sleep homeostasis and nocturnal respiration, are associated with an increased risk sleep disorders that may impact diagnosis, clinical course, and management. This review summarizes the bidirectional relationship between sleep and immunity and highlights several exemplar autoimmune conditions of the CNS that include sleep disorders as a consequence or diagnostic feature of the disorder.

Sleep Quality and Cognitive Skills Impact Neurocognitive Function and Reduce Sports-Related Injury Risk

Injury prevention in sports is critically influenced by cognitive factors, particularly sleep quality and cognitive skills. Research has underscored the role of cognitive processes in injury risk and recovery, highlighting that inadequate sleep and poor cognitive functioning can significantly elevate injury susceptibility. Despite the well-documented benefits of adequate sleep and cognitive training in mitigating injury risk, access to sports psychology expertise is limited among athletes and health care providers. This work reviews the literature on the effectiveness of cognitive skills and sleep training in reducing sports-related injuries. Sleep affects musculoskeletal recovery, cognitive function, and immune response, which may further exacerbate injury risk. Neurobiological processes during sleep are crucial for muscle repair, cognitive function, and immune efficiency, all of which are integral to reducing the injury risk in athletes. Environmental factors such as travel schedules, training intensity, and competitive pressures disrupt sleep and increase the risk of injury. Cognitive Behavioral Therapy for Insomnia has shown promise in addressing sleep disturbances by improving sleep habits and addressing cognitive distress related to sleep. In addition, cognitive skills training, including mental skills training and mindfulness, enhances perceptual awareness, decision making, and reaction times, potentially reducing injury incidence by improving cognitive and motor function. Evidence supports the pivotal role of sleep and cognitive skills in preventing sports injuries. Interventions like Cognitive Behavioral Therapy for Insomnia and mental skills training can effectively address these factors, suggesting that integrating these approaches into athlete training programs could significantly enhance injury prevention strategies.

Level of Evidence

Level V, expert opinion.

The effects of alternate-day fasting on sleep and physical activity in poor sleeping adults: A randomized control trial

Utilizing a randomized control design, 42 healthy adults (22.5 ± 2.8 years) participated in alternate-day modified fasting over a 12-day treatment period. Assessments of sleep included sleep time, efficiency, latency and wake after sleep onset, and assessments of physical activity included steps, energy expenditure, sedentary time, time spent in light physical activity and time spent in moderate-to-vigorous activity. Additional measurements included body composition and mood. The alternate-day modified fasting group consumed 25.8% ± 0.3% fewer calories compared with the control group (p = 0.03). There were no differences between groups for change in body mass index (p = 0.87), total fat mass (p = 0.91) or total lean mass (p = 0.88). Daily energy expenditure did not differ between groups (p = 0.11). On fast days, participants spent 34.5 ± 12.7 more minutes sedentary (p = 0.01), took 1100 ± 362 fewer steps (p < 0.01), and engaged in 27.2 ± 8.4 fewer minutes of moderate-to-vigorous physical activity (p = 0.00) compared with non-fasting days. Sleep duration, efficiency, latency or wake after sleep onset were not different between conditions (p = 0.92, p = 0.10, p = 0.09 and p = 0.66, respectively). We conclude that alternate-day modified fasting does not alter sleep time, efficiency, latency or wake after sleep onset in people reporting poor sleep quality, and does not alter overall physical activity. Although average daily physical activity is not altered, fasting in this manner does tend to result in more sedentary time and less physical activity with compensation on non-fasting days.

Sleep and Respiratory Infections

Sleep disorders that involve circadian rhythm disruption and sleep-disordered breathing (SDB) such as obstructive sleep apnea (OSA) are closely linked to respiratory infections. SDB leads to a proinflammatory state due to intermittent hypoxia, sleep fragmentation, increased oxidative stress, and elevation of inflammatory mediators such as tumor necrosis factor (TNF), interleukin-6 (IL-6), and C-reactive protein (CRP). Furthermore, inflammatory mediator levels correlate with SDB severity, especially in people with OSA. Nocturnal microaspiration, gastroesophageal reflux, and associated comorbidities (e.g., obesity) increase the risk of community-acquired pneumonia, viral infections such as SARS-CoV-2, respiratory complications, and death. OSA has been associated with post-COVID syndrome. It also increases the risk of postoperative complications in both adults and children. Circadian rhythm disorders such as insomnia predispose to immune disorders and increase the risk of infection. Chronic conditions such as bronchiectasis, with or without concomitant cystic fibrosis, can lead to structural sleep changes and increase the risk of OSA due to chronic cough, arousals, aspirations, hypoxia, upper airway edema, and overexpression of proinflammatory cytokines. The protective effect of treatment for sleep disorders against respiratory infection is currently unknown. However, in people presenting with respiratory infection, it is important to test for SDB to prevent complications.

Unlocking Mysteries: Exploring the Dynamic Interplay among Sleep, the Immune System, and Curcumin in Contemporary Research

The scientific disciplines encompassing sleep, the immune system, and curcumin have garnered considerable interest due to their interconnectedness and potential implications for human health. Sleep is a crucial factor in maintaining optimal immune function, as it facilitates the release of cytokines, which are signaling molecules responsible for regulating immune responses. On the contrary, sleep deprivation has the potential of inhibiting immune function, thereby heightening the susceptibility to infection and disease. Curcumin, a naturally occurring polyphenol derived from the turmeric plant, has been observed to possess immunomodulatory characteristics through its ability to modulate the equilibrium between pro- and anti-inflammatory cytokines. It is worth noting that there is evidence suggesting that curcumin supplementation could enhance the quality of sleep. Scientific studies have indicated that curcumin supplementation has been associated with an increase in the duration of sleep and a decrease in wakefulness among individuals who are in good health. Additionally, curcumin supplementation has been found to enhance sleep quality and alleviate symptoms of depression in individuals diagnosed with major depressive disorder. The intricate interplay among sleep, the immune system, and curcumin is multifaceted, and scientific investigations indicate that curcumin may serve as a beneficial dietary adjunct to enhance immune function and optimize sleep quality. Nevertheless, additional investigation is required to fully comprehend the mechanisms through which curcumin alters the immune system and enhances sleep, as well as to ascertain the most effective dose and timing of curcumin supplementation.

Exploring Crocin's Role in Alleviating Memory Impairments and Depression-like Behaviors Induced by REM Sleep Deprivation, Focusing on BDNF and GSK-3β in Male Rats

Rapid-eye movement sleep deprivation (REM SD) drastically alters behavioral functions and the mood state. Evidence demonstrates that the effects of REM SD on cognition and mood vary significantly based on the duration of deprivation. On the other hand, crocin (as a natural therapeutic compound found in Saffron) may be beneficial for the alleviation of SD effect. The present research aimed to explore the effects of REM SD of varying durations on behavioral functions and the expression levels of brain-derived neurotrophic factor (BDNF) and glycogen synthase kinase-3 beta (GSK-3β) in the prefrontal cortex. REM SD was conducted for 1, 5, or 10 days (6 h per day). Crocin was injected intraperitoneally at the dose of 50 mg/kg. The results showed that REM SD for 5- and 10-days increased locomotor activity and rearing, decreased pain threshold, and impaired passive avoidance memory performance. REM SD for 5- and 10-days increased the expression levels of GSK-3β, while only REM SD for 5 days decreased BDNF levels. Crocin (only in rats exposed to REM SD for 5 days) restored behavioral alterations, while in rats exposed to REM SD for 10 days had no effect. Interestingly, crocin in rats exposed to REM SD for 5- and 10-days attenuated GSK-3β upregulation. In addition, crocin in rats exposed to REM SD for 5 but not 10 days attenuated BDNF down regulation. In conclusion, the duration of REM SD is a crucial determinant of its impact on cognitive and mood functions.

Of Hearth and Home: Professional Wellness After Hours

Burnout is a prevalent problem in the contemporary practice of medicine. Defined by the Agency for Healthcare Research and Quality as, "a long-term stress reaction marked by emotional exhaustion, depersonalization, and a lack of sense of personal accomplishment," this multifactorial condition has significant implications for the clinicians who suffer it, their patients, and families. Neurologists suffer some of the highest rates of burnout. Burnout research on interventions often focus on the work environment. In this article, we will focus on burnout's effects on home life and features of home life that can impact resiliency, specifically sleep hygiene.

Energy expenditure and slow-wave sleep in runners: Focusing on reproductive function, chronic training, and sex

This comparative study focused on chronic exercise training, menstrual cycle, menstruation, and sex related with slow-wave sleep and energy expenditure (EE) during sleep in runners and controls. Participants included 26 highly trained runners (9 males, 8 amenorrheic females, and 9 menstruating females) and 20 controls (10 males and 10 menstruating females) aged 21 ± 2 years. Sleeping metabolic rate and EE during slow-wave sleep were 2.7% and 3.9% higher in the luteal than the follicular phase for female runners. Significant interactions were found between the 8-h time course adjusted EE and menstruation, exercise training, and sex. Sleep stage durations did not differ between groups. Interestingly, amenorrheic runners did not suppress sleeping and overnight metabolic rates, suggesting that EE in sleep may not be a causative factor for amenorrhea in runners. This study highlights the complex relationship between chronic exercise, menstrual cycle, and sex on EE during sleep.

The role of sleep in Alzheimer's disease: a mini review

Sleep is a stereotyped and well-preserved series of neurophysiological states that are essential for overall health and brain functioning. Emerging research suggests that sleep disturbances are not only associated with but also causally contribute to neurodegenerative disease onset and progression. This mini-review examines some of the current knowledge and evidence for relationships between sleep abnormalities and Alzheimer's disease within context of possible uses and limitations of sleep biomarkers for evaluation of Alzheimer's disease. Understanding these relationships could lead to readily accessible and easily quantifiable biomarkers of Alzheimer's dementia.

The Joint Association of Sleep Quality and Outdoor Activity with Asthma and Allergic Rhinitis in Children: A Cross-Sectional Study in Shanghai

Purpose

Aiming to investigate the combined association of sleep quality and outdoor activity with the risk of asthma and allergic rhinitis in children.

Patients and Methods

16,936 children from kindergartens and primary schools in 13 administrative districts of Shanghai, China were involved in the analyses. The Children's Sleep Habits Questionnaire (CSHQ) and the International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire were respectively used to evaluate the sleep quality, allergic rhinitis and asthma. Multivariable logistic regression models were used to analyze the correlation of sleep quality, outdoor activities and their combination with children's asthma and allergic rhinitis.

Results

The overall prevalence of asthma and allergic rhinitis in our sampled children were 10.2% and 17.6%, respectively. Poor sleep quality (asthma: aOR, 1.45; 95% CI: 1.23 to 1.73; allergic rhinitis: aOR, 1.16; 95% CI: 1.03 to 1.31) and low outdoor activity (asthma: aOR, 1.30; 95% CI: 1.14 to 1.49, allergic rhinitis: aOR, 1.18; 95% CI: 1.07 to 1.32) were separately associated with higher risk of asthma and allergic rhinitis, and when the two were superimposed, an additive effect (asthma: aOR, 1.76; 95% CI: 1.30 to 2.39; allergic rhinitis: aOR, 1.46; 95% CI: 1.17 to 1.82) was revealed. These associations were independent of sleep duration, but being stronger in sleep sufficiency group. And after stratification by gender, premature birth and family history of allergy, similar associations were validated in general.

Conclusion

Poor sleep quality and low levels of outdoor activity, when combined, have a stronger association with asthma and allergic rhinitis than each factor independently, and this relationship is not influenced by sleep duration. Our findings highlight the need for public health interventions that simultaneously address multiple lifestyle factors to reduce the risk of allergic diseases.

Genetic causality between insomnia and specific orthopedic conditions: Insights from a two-sample Mendelian randomization study

OBJECTIVE

To investigate the genetic causality for the insomnia and common orthopedic diseases, such as rheumatoid arthritis (RA), ankylosing spondylitis (AS), osteoporosis (OP), and gout (GT).

METHODS

The genome-wide association study (GWAS) summary data on insomnia were obtained from a published study, while the GWAS summary data on RA, AS, OP, and GT were sourced from the FinnGen consortium. We utilized the TwoSampleMR package of the R software (version 4.1.2) to conduct a two-sample Mendelian randomization (MR) analysis. Our primary method of analysis was the random-effects inverse variance weighted (IVW) approach. Subsequently, we conducted a series of sensitivity analyses for the MR analysis.

RESULTS

The MR analysis revealed a positive genetic causal relationship between insomnia and RA (P = 0.016, odds ratio [OR] 95 % confidence interval [CI] = 1.112 [1.020-1.212]). However, no significant genetic causal relationship was observed between insomnia and AS (P = 0.194, OR 95 % CI = 1.121 [0.944-1.331]), OP (P = 0.788, OR 95 % CI = 1.016 [0.904-1.142]), and GT (P = 0.757, OR 95 % CI = 1.018 [0.912-1.136]). The MR analysis did not exhibit heterogeneity, horizontal pleiotropy, outlier effects, or dependence on a single SNP, and demonstrated normal distribution, which guaranteed the robustness of the results.

CONCLUSION

The results of this study suggest that insomnia may be a significant risk factor for RA, and controlling insomnia may represent a promising strategy for preventing RA. While insomnia was not observed to be associated with AS, OP, and GT at the genetic level, other levels of association cannot be excluded.

Revealing the promising era of silk-based nanotherapeutics: a ray of hope for chronic wound healing treatment

Chronic wounds significantly contribute to disability and affect the mortality rate in diabetic patients. In addition, pressure ulcers, diabetic foot ulcers, arterial ulcers, and venous ulcers pose a significant health burden due to their associated morbidity and death. The complex healing process, environmental factors, and genetic factors have been identified as the rate-limiting stages of chronic wound healing. Changes in temperature, moisture content, mechanical strain, and genetics can result in slow wound healing, increased susceptibility to bacterial infections, and poor matrix remodelling. These obstacles can be addressed with natural biomaterials exhibiting antimicrobial, collagen synthesis, and granulation tissue formation properties. Recently, silk proteins have gained significant attention as a natural biomaterial owing to good biocompatibility, biodegradability, reduced immunogenicity, ease of sterilization, and promote the wound healing process. The silk components such as sericin and fibroin in combination with nano(platforms) effectively promote wound repair. This review emphasises the potential of sericin and fibroin when combined with nano(platforms) like nanoparticles, nanofibers, and nanoparticles-embedded films, membranes, gels, and nanofibers.

Caregiver Contribution to Self-Care of Chronic Illness Inventory: Evaluation of Measurement Properties in a Middle-Income Country

Background/Objectives: Caregivers engage in essential tasks that support patients' well-being and survival, including administering medications, promoting healthy lifestyle choices, and monitoring and managing symptoms. To date, no valid and reliable instrument is available to assess Caregiver Contribution (CC) to self-care in chronic conditions in middle-income countries such as Albania. Aim: To evaluate the measurement properties (structural and construct validity, internal consistency reliability, stability, and measurement error) of the instrument CC to Self-Care of the Chronic Illness Inventory (CC-SC-CII) in Albanian caregivers caring for elderly people affected by multiple chronic conditions. Methods: A cross-sectional study. We enrolled caregivers of patients with multiple chronic conditions, from August 2020 to April 2021, if they were (a) 18 years of age or older and (b) were identified by the patient as the main unpaid caregiver. Results: Confirmatory factor analysis confirmed the two-factor structure of the CC to Self-Care Maintenance and Management scales and the one-factor structure of the CC to Self-Care Monitoring scale. Reliability estimates were adequate for all (coefficients ranging between 0.827 and 0.961). The construct's validity was supported. The measurement error was adequate. Conclusions: The Albanian version of the CC to Self-Care of the Chronic Illness Inventory features sound measurement properties and is a valid and reliable instrument for assessing caregiver contribution to patient self-care behaviors in the Albanian population.

Individual associations of self-reported sleep duration, sleep quality, chronotype and social jet lag with infectious disease risk

Sleep deficiency is associated with infectious disease risk. However, little is known about the individual roles of different aspects of sleep, including sleep duration, sleep quality, sleep timing (assessed by chronotype) and sleep regularity (in the form of social jet lag) in this context. Here, we examined associations of the probability of reporting a cold or other infections with self-reported sleep duration, sleep quality and chronotype in a sample of 642 adults, and with social jet lag in a subsample of 274 adults. We found that short (≤ 6 h) and long sleepers (≥ 9 h) were more likely to report a cold in the past 30 days than average sleepers (7-8 h). Also, individuals with a definite evening chronotype were more likely to report a cold in the past 30 days than those with an intermediate chronotype, even when controlling for sleep duration. Finally, social jet lag was dose-dependently associated with the risk of reporting a cold in the past 12 months, independently of sleep duration, sleep quality and chronotype. No associations were found with sleep quality or with infections other than colds. The findings show that different aspects of sleep are independently associated with incidence of reported colds.This article is part of the Theo Murphy meeting issue 'Circadian rhythms in infection and immunity'.

Sleep disorders in individuals with dentofacial deformities: a preliminary study on the relationship with sex and serotonin levels

PURPOSE

It has been suggested that dentofacial deformities (DFD) can impair sleep quality. This pilot study aimed at evaluating sleep disorders in individuals with DFD before orthognathic surgery, correlating the clinical findings with salivary biomarker levels.

METHODS

This cross-sectional study enrolled ten males and ten females with DFD diagnoses under orthodontic treatment preceding orthognathic surgery. The participants responded to the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), and the Fletcher and Luckett Sleep Questionnaire (FLSQ). Obstructive sleep apnea (OSA) was examined by the Home Sleep Apnea Test (HSAT). The salivary levels of interleukin-1β (IL-1β), glutamate, and serotonin were measured.

RESULTS

85% of individuals presented PSQI and FLSQ scores indicative of sleep alterations. Females had higher scores in part 2 of the FLSQ instrument, referring to sleepiness-associated complaints. HSAT analysis revealed a low number of symptomatic OSA individuals, with three males demonstrating altered oxygen desaturation rates. There was a significant negative correlation between the salivary levels of serotonin and the FLSQ results.

CONCLUSIONS

Individuals with DFD diagnosis showed poorer sleep quality, which is likely independent of sex and OSA diagnosis, and negatively correlated with salivary levels of serotonin.

Associations between meeting 24h movement behavior guidelines and cognition, gray matter volume, and academic performance in children and adolescents: a systematic review

BACKGROUND

24-h movement behaviors have a close relationship with children and adolescents' cognition, gray matter volume, and academic performance. This systematic review aims to precisely explore the associations between meeting different combinations of guidelines and the aforementioned indicators, in order to better serve public health policy.

METHODS

Computer retrieval was conducted on CNKI, Web of Science, PubMed, SPORT Discus and Cochrane library databases. The screening and data extraction processes were conducted by two researchers. This study used the Joanna Briggs Institute checklist for methodological quality assessment and the Grading of Recommendations Assessment, Development, and Evaluation system for the evaluation of the level of evidence. Descriptive statistical analysis is performed using frequency and percentage on the extracted data and key findings, primarily to assess the consistency of the positive benefits associated with meeting different guidelines and outcome variables.

RESULTS

A total of 10 studies were included (with 16 correlation analyses conducted), involving 51,566 children and adolescents aged between 4.2 and 15.9 years old. The included studies generally agreed upon the following associations: adherence to the screen time (ST) guidelines is positively linked to fluid intelligence; adherence to the sleep duration (SD) guidelines is positively linked to literacy; adherence to both ST and SD guidelines is associated with increased fluid intelligence and gray matter volume; and overall adherence to all guidelines is positively correlated with fluid intelligence. The included studies reported low certainty of evidence. Additionally, the included studies have provided clear evidence, but some studies did not strictly control confounding factors, and it is also unclear whether there is a larger effect size, hence the level of evidence is relatively low.

CONCLUSION

There are varying degrees of associations between different combinations of guidelines and cognition, gray matter volume, and academic performance, but further research is needed to confirm these findings, especially the relatively limited role of meeting physical activity guidelines.

Exploring Maternal Challenges: A Pilot Study of Pain, Fatigue, and Anxiety in Newborn Care Within Rooming-in Settings

Background: In the rooming-in system, mothers and their healthy newborns stay together for 24 h a day; however, many women in the early postpartum period often find it challenging to balance their recovery from childbirth with the demands of caring for their newborns. This study aims to investigate the need for postpartum women to entrust their newborns to medical staff for care, and the relationship of this need with perceived pain, fatigue, and anxiety. Methods: The study uses the Need to Entrust a Newborn under the Care of the Staff (NEN) scale and the Numerical Rating Scale (NRS) to assess participants' levels of pain, fatigue and anxiety. These scales were chosen to provide a comprehensive assessment of participants' needs and experiences. Results: The results of the study reveal that fatigue levels among study participants were significantly high, with an Me of 7.0 (IQR = 4.0), exceeding the reportable levels of both pain (Me = 6.0, IQR = 5.0) and anxiety (Me = 5.0, IQR = 6.0) The need for support during the day and at night was at a similar level and strongly correlated (rho = 0.723; p < 0.001). Pain levels showed a significant positive correlation with the need to entrust the newborn both during the day (rho = 0.296; p < 0.001) and at night (rho = 0.332; p < 0.001). During the daytime, the correlation of fatigue with the need for staff support was rho = 0.423 (p < 0.001), while overnight, this increased to rho = 0.485 (p < 0.001). Anxiety significantly correlated with the need for staff support, both during daytime (rho = 0.422; p < 0.001) and overnight (rho = 0.431; p < 0.001). Multiparas reported significantly lower results of anxiety (U(Z) = -13.224, p < 0.001). Conclusions: The need to entrust newborns to the care of maternity rooming-in staff is strong but is often unmet in many facilities. Further research should be conducted to explore solutions, and plan future actions to alleviate the burdens on postpartum women and facilitate their recovery.

Relationship Between High Frequency Component of Heart Rate Variability and Delta EEG Power During Sleep in Women With Irritable Bowel Syndrome Compared to Healthy Women

OBJECTIVE

To explore the relationship between the high frequency (HF) heart rate variability (HRV) and electroencephalogram (EEG) delta band power in women with irritable bowel syndrome (IBS) versus healthy control women.

MATERIALS AND METHODS

Twenty women with IBS and twenty healthy controls were studied over three consecutive nights using polysomnography in a sleep laboratory. To avoid the first night effect, only second-night data were analyzed. Power spectral analysis was applied to HRV and EEG recordings. The linear system coherence/phase analysis assessed the relationship between normalized HF power of HRV and normalized delta band power of EEG during the first four NREM-REM sleep cycles.

RESULTS

Women with IBS exhibited a significantly higher percentage of NREM sleep, higher normalized HF, lower normalized low frequency (LF) and decreased LF/HF ratio of HRV in the first four NREM-REM sleep cycles compared to controls. Additionally, their normalized delta band power was significantly lower in these sleep cycles and over the whole night. The phase shift between HF and delta band power was significantly longer in the IBS group. While the coherence between normalized HF and normalized delta band power was lower in the IBS group, the difference was not statistically significant.

CONCLUSIONS

The coherence/phase analysis showed a dysregulated interaction between autonomic and central nervous systems in women with IBS, manifested by increased lag time between cardiac and EEG delta band power compared to healthy controls. Whether this dysregulation contributes to the pathophysiology of IBS remains to be determined.

Human sleep and immunity: The role of circadian patterns

It is well established that sleep promotes health and welfare. Literature data suggests that sleep is a recurrent resting state that performs multiple biological functions, such as memory consolidation and regulation of glucose, lipid metabolism, energy metabolism, eating behavior, and blood pressure, besides, regulating the immune system. These immunological functions depend on regular sleep and circadian rhythms, as both impact the magnitude of immune responses. Circadian rhythm is the 24-h internal clock in our brain that regulates cycles of alertness and sleepiness by responding to light changes in our environment. It encompasses physical and behavioral daily oscillations. Sleep deprivation and circadian misalignment affect immunity, and both have been related to adverse health effects and chronic diseases. Studies have shown that individuals with regular and consistent sleep patterns have a more effective immune response. Thus, understanding how sleep disturbance will affect the immune response is vital in developing interventions to prevent the health burden of irregular sleep patterns and circadian misalignment, favoring a homeostatic immune defense to microbial or inflammatory insults. Therefore, the scope of this chapter is to explore evidence that regular circadian rhythms and sleep patterns are needed for optimal resistance to infectious challenges.

Molecular and Cellular Mechanisms of Immunosenescence: Modulation Through Interventions and Lifestyle Changes

Immunosenescence, the age-related decline in immune function, is a complex biological process with profound implications for health and longevity. This phenomenon, characterized by alterations in both innate and adaptive immunity, increases susceptibility to infections, reduces vaccine efficacy, and contributes to the development of age-related diseases. At the cellular level, immunosenescence manifests as decreased production of naive T and B cells, accumulation of memory and senescent cells, thymic involution, and dysregulated cytokine production. Recent advances in molecular biology have shed light on the underlying mechanisms of immunosenescence, including telomere attrition, epigenetic alterations, mitochondrial dysfunction, and changes in key signaling pathways such as NF-κB and mTOR. These molecular changes lead to functional impairments in various immune cell types, altering their proliferative capacity, differentiation, and effector functions. Emerging research suggests that lifestyle factors may modulate the rate and extent of immunosenescence at both cellular and molecular levels. Physical activity, nutrition, stress management, and sleep patterns have been shown to influence immune cell function, inflammatory markers, and oxidative stress in older adults. This review provides a comprehensive analysis of the molecular and cellular mechanisms underlying immunosenescence and explores how lifestyle interventions may impact these processes. We will examine the current understanding of immunosenescence at the genomic, epigenomic, and proteomic levels, and discuss how various lifestyle factors can potentially mitigate or partially reverse aspects of immune aging. By integrating recent findings from immunology, gerontology, and molecular biology, we aim to elucidate the intricate interplay between lifestyle and immune aging at the molecular level, potentially informing future strategies for maintaining immune competence in aging populations.

Insomnia during the COVID-19 pandemic: prevalence and correlates in a multi-ethnic population Singapore

BACKGROUND

Globally, the Coronavirus disease 2019 (COVID-19) pandemic had a significant impact on mental health. Sudden lifestyle changes, threatening information received through various sources, fear of infection and other stressors led to sleep disturbances such as insomnia. The current study aimed to assess the prevalence of insomnia and its associated risk factors during the first wave of COVID-19 pandemic among Singapore residents.

METHODS

A cross-sectional study conducted online and in person, from May 2020 to June 2021, recruited Singapore citizens and permanent residents, aged 21 years and above, fluent in English, Chinese or Malay language. Respondents answered an interviewer-administered questionnaire, including Insomnia Severity Index (ISI), Generalised Anxiety Disorder-7 (GAD-7), Physical Health Questionnaire (PHQ-9), stress scale of the Depression, Anxiety and Stress Scales (DASS), chronic conditions checklist and COVID-19 related stressors (exposure to COVID-19, current and future perceived risk of infection). Chi-squared test followed by stepwise logistic regression analysis were conducted to determine factors associated with insomnia.

RESULTS

The study recruited 1129 respondents. Prevalence of insomnia was noted to be 7.4% in the sample. Insomnia was significantly associated with psychological distress- depression (p < 0.001) and anxiety (p < 0.001), financial loss as a source of stress (p < 0.012), ever been diagnosed with asthma (p < 0.001) and backache (p < 0.002).

CONCLUSION

Insomnia was prevalent and associated with higher level of psychological distress among Singapore residents. These findings can be utilised to design effective targeted interventions like cognitive behavioural therapy, therapist assisted relaxation and meditation programs to improve sleep and reduce psychological distress. Interventions like these can be delivered via smartphone applications enabling easy access, delivery, and utilization by the vulnerable groups. Overall, these strategies would not only help people maintain better mental health and sleep quality during a pandemic but also build resilience, enhancing society's ability to cope with future crises.

Relationship between occupational factors and sleep disorders among petrochemical workers on Hainan Island, South China: a cross-sectional study

OBJECTIVES

The study aimed to examine the relationship between occupational factors and sleep disorders among employees in petrochemical enterprises.

MATERIAL AND METHODS

All participants from the employees of Hainan Petroleum Refining and Chemical Enterprises were recruited by the cluster sampling in June 1, 2022. The questionnaire used in this research was primarily composed of 3 sections: demographic characteristics, Pittsburgh Sleep Quality Index (PSQI) questionnaire and occupation-related factors affecting sleep disorders. A 1:1 propensity score matching (PSM) method was used to balance the demographic characteristics of the 2 groups. Multivariate logistic regression was employed to analyze the independent factors influencing sleep disorders.

RESULTS

A total of 952 valid questionnaires were collected. The frequency of sleep disorders among the 952 participants was 41.9% (N = 399). After PSM, 356 pairs were successfully matched. There was no statistical difference in socio-demographic characteristics between sleep disorder groups (p > 0.05). The logistic regression analysis showed that employees with weekly working time >40 h exhibited a higher likelihood of sleep disorders (OR: 1.74, 95% CI: 1.09-2.82) than those working ≤40 h. Individuals exposed to high-temperature working environments were more likely to experience sleep disorders (OR: 1.77, 95% CI: 1.12-2.81), while the sleep disorder risk in those with occupational stress was 2.67-fold (OR: 2.67, 95% CI: 1.89-3.80). Employees in storage and transportation (OR: 3.34, 95% CI: 1.81-6.40) and other positions (OR: 1.68, 95% CI: 1.03-2.75) displayed a higher risk of sleep disorders than operational workers.

CONCLUSIONS

The frequency of sleep disorders among employees in petrochemical enterprises is high. Weekly working hours, type of work position, high-temperature exposure, and high occupational stress are associated with increased risk of sleep disorders among petrochemical workers. Health policymakers should fully consider these factors in improving the sleep quality of petrochemical workers. Int J Occup Med Environ Health. 2024;37(6):591-601.

The effect of sleep and shift work on the primary immune response to messenger RNA-based COVID-19 vaccination

Shift work can cause circadian misalignment, which often results in sleeping problems and has been associated with immune dysfunction. To better understand the impact of shift work on a primary immune response to vaccination, we compared severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)-specific humoral and cellular immune responses after one injection of the messenger RNA (mRNA)-1273 vaccine between day workers (n = 24) and night shift workers (n = 21). In addition, duration and quality of sleep were assessed for a period of 7 days around the time of vaccination using actigraphy and daily sleep diaries, and their relationship with immunogenicity of mRNA-1273 vaccination was studied. We found that median total sleep time on the 2 days immediately after vaccination, which coincided with the days that night shift workers worked night shifts, was significantly lower in night shift workers (342 and 318 min) than day workers (431 and 415 min) (both p < 0.001). There was no difference in sleep quality between day workers and night shift workers. Furthermore, no difference in the antibody response between the two groups was observed, yet night shift workers had a significantly higher virus-specific T-cell response than day workers 28 days after immunisation (p = 0.013). Multivariate regression analysis showed no association between sleep duration, sleep quality and SARS-CoV-2-specific humoral or cellular immune responses. Collectively, these findings indicate that shift work-induced sleep loss and night shift work have little to no effect on the primary immune response to mRNA-based COVID-19 vaccination.

Investigating the consequences of chronic short sleep for metabolism and survival of oxidative stress

In previous work, we found that short sleep caused sensitivity to oxidative stress; here we set out to characterize the physiological state of a diverse group of chronically short-sleeping mutants during hyperoxia as an acute oxidative stress. Using RNA-sequencing analysis, we found that short-sleeping mutants had a normal transcriptional oxidative stress response relative to controls. In both short-sleeping mutants and controls, hyperoxia led to downregulation of glycolytic genes and upregulation of genes involved in fatty acid metabolism, reminiscent of metabolic shifts during sleep. We hypothesized that short-sleeping mutants may be sensitive to hyperoxia because of defects in metabolism. Consistent with this, short-sleeping mutants were sensitive to starvation. Using metabolomics, we identified a pattern of low levels of long chain fatty acids and lysophospholipids in short-sleeping mutants relative to controls during hyperoxia, suggesting a defect in lipid metabolism. Though short-sleeping mutants did not have common defects in many aspects of lipid metabolism (basal fat stores, usage kinetics during hyperoxia, respiration rates, and cuticular hydrocarbon profiles), they were all sensitive to dehydration, suggesting a general defect in cuticular hydrocarbons, which protect against dehydration. To test the bi-directionality of sleep and lipid metabolism, we tested flies with both diet-induced obesity and genetic obesity. Flies with diet-induced obesity had no sleep or oxidative stress phenotype; in contrast, the lipid metabolic mutant, brummer , slept significantly more than controls but was sensitive to oxidative stress. Previously, all short sleepers tested were sensitive and all long sleepers resistant to oxidative stress. brummer mutants, the first exceptions to this rule, lack a key enzyme required to mobilize fat stores, suggesting that a defect in accessing lipid stores can cause sensitivity to oxidative stress. Taken together, we found that short-sleeping mutants have many phenotypes in common: sensitivity to oxidative stress, starvation, dehydration, and defects in lipid metabolites. These results argue against a specific role for sleep as an antioxidant and suggest the possibility that lipid metabolic defects underlie the sensitivity to oxidative stress of short-sleeping mutants.

Exploring sociodemographic moderators of the association between sleep duration and self-rated health

OBJECTIVE

This study examined the association of sleep duration with self-rated health (SRH) and if age, sex, and race/ethnicity modifies this association.

METHODS

This was a cross-sectional analysis of 396,455 adults who were aged ≥ 18 years in the 2020 Behavioral Risk Factor Surveillance System. Sleep duration was categorized into three: short (< 7 h), normal (7-9 h; reference), and long (> 9 h). SRH was dichotomized into suboptimal (fair/poor; reference) and optimal (excellent/very good/good). Logistic regression models were employed to investigate the association and assess interactions of age, sex, and race/ethnicity with sleep duration.

RESULTS

Short (adjusted odds ratio: 0.70 [95% confidence interval 0.66-0.74]) and long (0.65 [0.58-0.73]) sleep duration was associated with decreased odds of optimal SRH. There was a significant interaction between age and sleep duration (p = 0.029). The association between short sleep duration and SRH was strongest in the youngest age (18-24; 0.59 [0.47-0.74]), while 35-44 (0.57 [0.39-0.82] had the strongest association for long sleep duration with SRH. No significant interactions were found for sex (p = 0.314) or race/ethnicity (p = 0.930).

CONCLUSION

Short and long sleep duration are associated with decreased odds of optimal SRH among US adults. Prioritizing sleep hygiene across all ages may improve SRH.

Alterations in Circadian Rhythms, Sleep, and Physical Activity in COVID-19: Mechanisms, Interventions, and Lessons for the Future

Although the world is acquitting from the throes of COVID-19 and returning to the regularity of life, its effects on physical and mental health are prominently evident in the post-pandemic era. The pandemic subjected us to inadequate sleep and physical activities, stress, irregular eating patterns, and work hours beyond the regular rest-activity cycle. Thus, perturbing the synchrony of the regular circadian clock functions led to chronic psychiatric and neurological disorders and poor immunological response in several COVID-19 survivors. Understanding the links between the host immune system and viral replication machinery from a clock-infection biology perspective promises novel avenues of intervention. Behavioral improvements in our daily lifestyle can reduce the severity and expedite the convalescent stage of COVID-19 by maintaining consistent eating, sleep, and physical activity schedules. Including dietary supplements and nutraceuticals with prophylactic value aids in combating COVID-19, as their deficiency can lead to a higher risk of infection, vulnerability, and severity of COVID-19. Thus, besides developing therapeutic measures, perpetual healthy practices could also contribute to combating the upcoming pandemics. This review highlights the impact of the COVID-19 pandemic on biological rhythms, sleep-wake cycles, physical activities, and eating patterns and how those disruptions possibly contribute to the response, severity, and outcome of SARS-CoV-2 infection.

The association between sleep quantity, insomnia and lung cancer risk - A systematic review and meta-analysis

PURPOSE

The effect of various sleep traits on the risk of lung cancer differs among pre-existing studies. This study aims to systematically review and synthesise the association between sleep duration and insomnia with the incidence of lung cancer.

METHODS

PubMed, Embase and The Cochrane Library were searched from inception to 23 April 2023 for observational studies examining the effect of sleep quantity or insomnia on lung cancer incidence. We pooled maximally-adjusted hazard ratios and odds ratios separately using random effects inverse variance weighted models. The risk of bias of observational studies was assessed using the Newcastle-Ottawa Scale.

RESULTS

We included 11 observational studies with a pooled cohort of 5,049,141 patients. The mean age of the patients was 49.5 ± 17.7 years, and 51.4% were males. The risk of bias ranged from low-moderate. Individuals who slept for a shorter or longer duration than the reference range of sleep per night showed an increased risk of lung cancer by 11% (HR:1.11; 95%CI:1.00-1.23) and 16% (HR:1.16; 95%CI:1.06-1.27) respectively. Furthermore, individuals with insomnia symptoms had a 9% greater risk of lung cancer than those without symptoms (HR:1.09; 95%CI:1.05-1.13).

CONCLUSION

This study suggests that insufficient sleep, excessive sleep and insomnia may be associated with an increased risk of lung cancer. Physicians should be mindful of this association and encourage healthy sleep practises among patients. Given the observed heterogeneity among some pre-existing studies, future research with longer periods of follow-up, greater control for covariates and objective testing of sleep parameters may add value to this topic.

Suboptimal health among Chinese middle school students may be associated with psychological symptoms and sleep duration: a cross-sectional survey in China

BACKGROUND

Suboptimal health status (SHS) is an intermediate status between ideal heath and illness, it is characterized by the perception of health complaints, general weakness, decreased immunity and low energy. An increasing number of Chinese middle school students are suffering from psychological symptoms (PS), particularly anxiety and depression. The relationship between SHS and PS is unclear in adolescents. This study aimed to investigate the prevalence of SHS and the correlation between SHS and PS among Chinese middle school students and to identify the SHS-related risk factors from the perspective of public health.

METHODS

A cross-sectional study was conducted with the cluster sampling method among 1955 middle school students in Shantou, China. SHS was assessed by Suboptimal Health Status Questionnaire-25 (SHSQ-25). And the PS of anxiety and depression were assessed with Generalized Anxiety Disorder Scale (GAD-7) and Beck Depression Inventory-II Scale (BDI-II) self-assessment questionnaires. Variate logistic analysis was applied to explore risk factors of SHS. The relationship between SHS and PS among Chinese middle school students was subsequently analyzed.

RESULTS

Among the 1955 participants, 1904 middle school students were finally included in the analysis, the effective response rate was 97.39%. The prevalence of SHS was 10.3% (197/1904) while the prevalence of anxiety and depression was 30.7% (585/1904) and 34.1% (649/1904), respectively. A strong correlation was identified between SHS and PS among middle school students. With the aggravation of anxiety and depression, the probability of suffering from SHS increased (both P<0.01). The scores for various dimensions of SHS among the depression and anxiety groups were higher compared to those of the non-depression and non-anxiety groups (all P<0.01 ). Multivariate regression showed that compared with sleeping less than six hours, 6-8 h is a protective factor for SHS (OR = 0.486, 95%CI = 0.278-0.851).

CONCLUSIONS

Attention should be given to SHS and PS in Chinese middle school students, as they are strongly associated. Lack of sleep is a risk factor for SHS, so sufficient sleep should be recommended to prevent it. Identifying additional risk factors and promoting adequate sleep will improve adolescent health.

Can Neuromodulation Improve Sleep and Psychiatric Symptoms?

PURPOSE OF REVIEW

In this review, we evaluate recent studies that employ neuromodulation, in the form of non-invasive brain stimulation, to improve sleep in both healthy participants, and patients with psychiatric disorders. We review studies using transcranial electrical stimulation, transcranial magnetic stimulation, and closed-loop auditory stimulation, and consider both subjective and objective measures of sleep improvement.

RECENT FINDINGS

Neuromodulation can alter neuronal activity underlying sleep. However, few studies utilizing neuromodulation report improvements in objective measures of sleep. Enhancements in subjective measures of sleep quality are replicable, however, many studies conducted in this field suffer from methodological limitations, and the placebo effect is robust. Currently, evidence that neuromodulation can effectively enhance sleep is lacking. For the field to advance, methodological issues must be resolved, and the full range of objective measures of sleep architecture, alongside subjective measures of sleep quality, must be reported. Additionally, validation of effective modulation of neuronal activity should be done with neuroimaging.

Near-Infrared Spectroscopy for Neonatal Sleep Classification

Sleep, notably active sleep (AS) and quiet sleep (QS), plays a pivotal role in the brain development and gradual maturation of (pre) term infants. Monitoring their sleep patterns is imperative, as it can serve as a tool in promoting neurological maturation and well-being, particularly important in preterm infants who are at an increased risk of immature brain development. An accurate classification of neonatal sleep states can contribute to optimizing treatments for high-risk infants, with respiratory rate (RR) and heart rate (HR) serving as key components in sleep assessment systems for neonates. Recent studies have demonstrated the feasibility of extracting both RR and HR using near-infrared spectroscopy (NIRS) in neonates. This study introduces a comprehensive sleep classification approach leveraging high-frequency NIRS signals recorded at a sampling rate of 100 Hz from a cohort of nine preterm infants admitted to a neonatal intensive care unit. Eight distinct features were extracted from the raw NIRS signals, including HR, RR, motion-related parameters, and proxies for neural activity. These features served as inputs for a deep convolutional neural network (CNN) model designed for the classification of AS and QS sleep states. The performance of the proposed CNN model was evaluated using two cross-validation approaches: ten-fold cross-validation of data pooling and five-fold cross-validation, where each fold contains two independently recorded NIRS data. The accuracy, balanced accuracy, F1-score, Kappa, and AUC-ROC (Area Under the Curve of the Receiver Operating Characteristic) were employed to assess the classifier performance. In addition, comparative analyses against six benchmark classifiers, comprising K-Nearest Neighbors, Naive Bayes, Support Vector Machines, Random Forest (RF), AdaBoost, and XGBoost (XGB), were conducted. Our results reveal the CNN model's superior performance, achieving an average accuracy of 88%, a balanced accuracy of 94%, an F1-score of 91%, Kappa of 95%, and an AUC-ROC of 96% in data pooling cross-validation. Furthermore, in both cross-validation methods, RF and XGB demonstrated accuracy levels closely comparable to the CNN classifier. These findings underscore the feasibility of leveraging high-frequency NIRS data, coupled with NIRS-based HR and RR extraction, for assessing sleep states in neonates, even in an intensive care setting. The user-friendliness, portability, and reduced sensor complexity of the approach suggest its potential applications in various less-demanding settings. This research thus presents a promising avenue for advancing neonatal sleep assessment and its implications for infant health and development.

Health outcomes after national acute sleep deprivation events among the American public

Background

Sleep is increasingly recognized as essential to human health, yet the adverse health consequences of acute sleep deprivation are unknown. Using actigraphic, genomic, and health data from the All of Us ( AoU ) Research Program, we characterized the detrimental health consequences of acute sleep deprivation in the American public.

Methods

LOESS smoothing was performed on sleep estimates from Fitbit users (N = 14,681) between June 1, 2016 and July 1, 2022. Dates when population minutes slept were less than the 90% confidence interval of the LOESS regression were named acute sleep deprivation events (ASDEs). Phenome-wide disease incidence among the AoU population (N = 287,012) in the 10 days post-ASDE was compared to a preceding reference period by McNemar test. Circadian rhythm and sleep duration-associated SNPs were screened to identify genotypes associated with shorter ASDE sleep duration. Influences of sleep and circadian genotype on post-ASDE influenza risk were modeled using binomial family generalized estimating equations.

Findings

We identified 32 ASDEs spanning political and non-political events. A phenome-wide screen found increased risk of influenza (OR = 1.54 [1.40, 1.70], P -value = 1.00 x 10 -18 ) following ASDEs. 56 SNPs were associated with decreased sleep duration on ASDEs. Higher quantiles of ASDE-related SNP genotype burden were associated with less ASDE sleep duration and a greater risk of influenza-associated healthcare visits.

Interpretation

National political and non-political events are associated with acute sleep deprivation and greater influenza risk which is amplified by sleep genotypes. These findings should inform public health vigilance surrounding major national events.

Mood, Quality of Life, and Immune Fitness During the COVID-19 Pandemic of Young Adults in Germany

Background: The COVID-19 pandemic has profoundly affected young adults' lives globally, including those in Germany. This study investigated mental health and quality of life during the pandemic, with a particular focus on mood. Immune fitness, the body's capacity to respond to health challenges (such as infections) by activating an appropriate immune response, was assessed as a physical health indicator. Methods: Data were collected from 317 participants, aged 18 to 35, via an online survey conducted between November 2021 and March 2022. Participants included 103 men (32.5%) and 214 women (67.5%), with a mean age of 25.5 years (SD = 4.1). Results: Compared to pre-pandemic levels, significant declines in mood, quality of life, immune fitness, and sleep quality were observed during the lockdown periods of the COVID-19 pandemic (p < 0.0125). The most pronounced effects were observed during the second lockdown, with declines extending into the second no-lockdown period for fatigue, depression, happiness, optimism, and immune fitness (p < 0.0125). Significant sex differences were found for the magnitude of mood effects (anxiety, depression, stress). No significant differences were found according to age or occupational status (student vs. work). Conclusions: The COVID-19 pandemic and associated lockdown periods had a significant negative effect on the mood, immune fitness, and well-being of young adults living in Germany.

Biopsychosocial Health Considerations for Astronauts in Long-Duration Spaceflight: A Narrative Review

Long-duration spaceflights beyond low-Earth orbit, including missions to the Moon and Mars, pose significant health risks. Although biomedical approaches commonly appear in the literature, considering psychological and social factors alongside physiologic health offers a more holistic approach to astronaut care. Integrating the biopsychosocial (BPS) framework into medical planning addresses complex spaceflight challenges and aids in developing mitigation strategies. This review examined health risks associated with long-duration spaceflight within a BPS framework. Sources included governmental space agencies, academic textbooks, and relevant publications from multiple databases. Considering the National Aeronautics and Space Administration's Human Research Program's 5 main hazards, a conceptual model was developed to highlight the multifactorial BPS effects of spaceflight. In space, astronauts face unique environments and biological adaptations, including fluid shift, plasma volume loss, bone density loss, and muscle atrophy. Noise and the absence of natural light disrupt circadian rhythms, causing sleep disturbances and fatigue, which affect physical and mental health. Studies on crews in isolated and confined extreme environments reveal psychosocial challenges, including impaired mood and cognition, interpersonal tension, and miscommunication. International collaboration in spaceflight introduces differences in communication, problem solving, and social customs due to diverse cultural backgrounds. Upcoming long-distance missions likely will amplify these challenges. This review emphasizes BPS health considerations in long-duration spaceflight. It highlights the interplay among psychological, social, and biological factors, advocating for multidisciplinary teams and a holistic approach to astronaut health and mission planning and the potential added value of BPS perspectives in considering countermeasures.

Bidirectional Interaction of Sepsis and Sleep Disorders: The Underlying Mechanisms and Clinical Implications

Sepsis is defined as life-threatening organ injury induced by infection, with high incidence and mortality. Sleep disorder is prevalent in septic patients and approximately 50% of patients with sepsis may develop atypical sleep patterns, but many of them may have been underdiagnosed by physicians. Sleep disorders and sepsis exhibit a close bidirectional relationship, with each condition significantly influencing the other. Conversely, sleep deprivation, sleep dysrhythmia and sleep fragmentation have been shown to impact the outcome of sepsis. This review endeavors to offer a comprehensive understanding of the intricate mechanisms that underpin the interplay between sepsis and sleep disorders, in addition to exploring potential clinical intervention strategies that could enhance outcomes for patients suffering from sepsis.

Demographic, socioconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India

BACKGROUND

Recent research has revealed that today's older adults report more sleep problems than their predecessors, a trend compounded by expanding social stratification. As such, this study examined the demographic, socioeconomic, and health correlates of sleep quality and sleep duration among community-dwelling older adults in India.

METHODS

The current study sample draws on data from 7118 respondents aged 50 years and over participating in the World Health Organization's Study on global AGEing and adult health (WHO-SAGE) wave-2 dataset. Sleep quality (good, moderate, and poor) and sleep duration (in hours and minutes) were self-reported. Adjusted multivariable logistic regression models were employed to examine the associations between sleep quality and sleep duration and several demographic, socioeconomic, and health indicators.

RESULTS

A total of 12.84% and 36.1% of older adults reported long (> 8 h) and short (< 7 h) sleep, respectively. Older adults with primary education had lower odds of poor sleep [aOR: 0.85, CI: 0.73-0.99] than peers with no formal education. The odds of poor sleep were lower among those in higher wealth quintiles than those in the poorest quintile. Older adults with higher education had higher odds of short sleep [aOR: 1.36, CI: 1.06-1.74], and those with primary education had lower odds of long sleep [aOR: 0.70, CI: 0.54-0.91] than those without formal education (base category: age-appropriate sleep, i.e., 7-8 h). Older adults who were widowed had lower odds of both short [aOR: 0.82, CI: 0.68-0.98] and long sleep [aOR:0.74, CI: 0.58-0.95] compared to those who were currently married. Older individuals with adequate nutritional intake reported lower odds of short [aOR:0.59, CI: 0.49-0.72] and higher odds of long sleep [aOR:1.52, CI: 1.20-1.93] relative to their counterparts. Older adults who reported chronic conditions and body pain had higher odds of poor sleep and short sleep than their counterparts.

CONCLUSIONS

We identified significant associations between several unmodifiable factors, including age, education, and marital status, and modifiable factors such as dietary intake, body pain, and pre-existing chronic ailments, and sleep quality and sleep duration. Our findings can assist health care providers and practitioners in developing a more holistic and empathic approach to care. Moreover, that several demographic, socioeconomic, and health-related factors are consequential for older adults' sleep health suggests that early detection through screening programs and community-based interventions is vital to improving sleep among older Indians who are most susceptible to sleep problems.

Psychological factors and biochemical indicators influencing sleep disturbance of patients with primary biliary cholangitis in China: a cross-sectional survey analysis

Objective

The impact of primary biliary cholangitis (PBC) on sleep disturbance is relevant to treatment decision-making processes. Studies on sleep disturbance in Chinese patients with PBC are still lacking.

Methods

We analyzed and compared the health-related quality of life (HRQoL) of 107 PBC patients by using the Pittsburgh Sleep Quality Index (PSQI) questionnaire, Generalized Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire 9 (PHQ-9), Short Form (36) Health Survey Questionnaire (SF-36), Fatigue Visual Analog Scale (F-VAS). Patients' biochemical markers were also collected for correlation analysis with HRQoL. Receiver operating characteristic (ROC) curves and area under the curve (AUCs) were used to determine the diagnostic performance of PSQI, GAD-7, and biochemical markers for assessing the impaired liver function (Child-Pugh B-C) of PBC diagnosis.

Results

Sixty-two (57.9%) PBC patients suffered from poor sleep quality (PSQI >5). The global PSQI score was positively correlated with GAD-7 (r = 0.561, p < 0.001), and PHQ-9 scores (r = 0.652, p < 0.001). There was a negative correlation (r = -0.216, p = 0.025) between sleep quality and red blood cell (RBC) count. PBC patients with poor sleep quality had significantly higher GAD-7 scores (5 vs. 0, p < 0.001), PHQ-9 scores (5.5 vs. 0, p < 0.001), and lower albumin levels (39.6 vs. 37.6 g/L, p = 0.040) than those with good sleep quality. Based on the SF-36 scores, PBC patients with poor sleep quality had lower physical functioning scores (85 vs. 80, p = 0.022), role physical scores (100 vs. 75, p = 0.007), and worse mental health (60 vs. 56, p = 0.002) than those with good sleep quality. ROC analyses showed that the AUC and optimal cut-off values of the combination of PSQI, GAD-7, and RBC for assessing the impaired liver function in PBC diagnosis were 0.771 and 0.193, respectively.

Conclusion

The sleep disturbance was strongly correlated with the severity of anxiety, depression, and RBC count in PBC patients. Meanwhile, PBC patients with poor sleep had poor HRQoL and lower albumin levels. It is feasible to use the combination of PSQI, GAD-7, and RBC for initial screening of the impaired liver function in PBC. Besides routine blood biochemical and imaging indicators, evaluating mental health-related indicators in PBC patients is imperative.

Remote data collection of infant activity and sleep patterns via wearable sensors in the HEALthy Brain and Child Development Study (HBCD)

The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Wearable and remote sensing technologies have advanced data collection outside of laboratory settings to enable exploring, in more detail, the associations of early experiences with brain development and social and health outcomes. In the HBCD Study, the Novel Technology/Wearable Sensors Working Group (WG-NTW) identified two primary data types to be collected: infant activity (by measuring leg movements) and sleep (by measuring heart rate and leg movements). These wearable technologies allow for remote collection in the natural environment. This paper illustrates the collection of such data via wearable technologies and describes the decision-making framework, which led to the currently deployed study design, data collection protocol, and derivatives, which will be made publicly available. Moreover, considerations regarding actual and potential challenges to adoption and use, data management, privacy, and participant burden were examined. Lastly, the present limitations in the field of wearable sensor data collection and analysis will be discussed in terms of extant validation studies, the difficulties in comparing performance across different devices, and the impact of evolving hardware/software/firmware.

Interactions between sleep, inflammation, immunity and infections: A narrative review

BACKGROUND

Over the past decades, it has become increasingly evident that sleep disturbance contributes to inflammation-mediated disease, including depression, mainly through activation of the innate immune system and to an increased risk of infections.

METHODS

A comprehensive literature search was performed in PubMed to identify relevant research findings in the field of immunity, inflammation and infections, with a focus on translational research findings from the past 5 years.

RESULTS

Physiological sleep is characterized by a dynamic interplay between the immune system and sleep architecture, marked by increased innate immunity and T helper 1 (Th1) -mediated inflammation in the early phase, transitioning to a T helper 2 (Th2) response dominating in late sleep. Chronic sleep disturbances are associated with enhanced inflammation and an elevated risk of infections, while other inflammatory diseases may also be affected. Conversely, inflammation in response to infection can also disrupt sleep patterns and architecture. This narrative review summarizes current data on the complex relationships between sleep, immunity, inflammation and infections, while highlighting translational aspects. The bidirectional nature of these interactions are addressed within specific conditions such as sleep apnea, HIV, and other infections. Furthermore, technical developments with the potential to accelerate our understanding of these interactions are identified, including advances in wearable devices, artificial intelligence, and omics technology. By integrating these tools, novel biomarkers and therapeutic targets for sleep-related immune dysregulation may be identified.

CONCLUSION

The review underscores the importance of understanding and addressing immune imbalance related to sleep disturbances to improve disease outcomes.

Quality of sleep after COVID-19 infection: a cross-sectional study in the Southern Italy

Introduction

This study investigated the quality of sleep in a sample of individuals from Southern Italy after the major waves of the COVID-19 pandemic, with the aim of evaluating how sleep patterns changed.

Methods

A cross-sectional study was conducted between March 2022 and January 2023 and involved adults who had a COVID-19 infection, who were invited to complete a self-administered online questionnaire.

Results

A total of 408 individuals participated in the survey. Overall, 66.4% had a reduction in social relations; 72.1% had an increase in the use of social media; and 86%, 77.2%, and 71.1% reported an extremely severe level of anxiety, stress, and depression, respectively. Almost all of the respondents had a Pittsburgh Sleep Quality Index score (PSQI) ≥5, indicating poor sleep quality. Subjects with a severe or extremely severe depression score, a severe or extremely severe stress score, who had a job, and who had someone close who died because of a COVID-19 infection were more likely to have a high PSQI global score. The use of sleep medication in the past months was significantly higher in those who were older, who had a job, who had a COVID-19 infection in the first and second waves, who had someone close who died from COVID-19, and who did not have changes in social relationships during the pandemic. Moreover, participants with severe or extremely severe depression scores, with severe or extremely severe stress scores, who were women, and who were older had troubles staying awake while engaging in social activities during the past month.

Conclusion

The results bring to light the high prevalence of poor sleep quality among individuals who were infected with SARS-CoV-2. Future research is needed to understand whether these disturbances are still present in the endemic period and whether it is necessary to investigate further determinants that have affected and/or are affecting sleep quality.

The influence of phototherapy on circadian melatonin and sleep regulation and potential benefits of these pathways in the management of vitiligo: a narrative review : Vitiligo, phototherapy, sleep and melatonin

Ultraviolet B narrow band (UVB-NB) phototherapy is the gold standard treatment for vitiligo, primarily due to its immunomodulatory effects. Additionally, it may influence circadian melatonin balance, that may indirectly induce sleep regulation, which in turn could potentially contribute to vitiligo improvement. The association between melatonin, vitiligo and phototherapy has been little investigated. The aim of this study was to evaluate the current evidence regarding the effects of circadian melatonin regulation and sleep, particularly during vitiligo treatment with phototherapy. We undertook a narrative review to synthetize the evidence on this association through the MEDLINE/PubMed database, using combined search terms: melatonin, vitiligo, phototherapy, and circadian rhythm (sleep). A total of 56 articles were included. There are few studies on this relationship, and conflicting findings. Some studies have suggested that UV exposure and phototherapy might benefit vitiligo by stimulating melanocytes, which have melatonin receptors, and this could potentially synchronize the circadian regulation of melatonin. This improved melatonin balance could result in better sleep quality further enhancing the antiinflammatory properties of melatonin and contributing to vitiligo improvement. Less is known about the possible effects of the use of topical melatonin, with or without phototherapy, to treat vitiligo lesions. In conclusion, there is some evidence that circadian melatonin regulation plays an important role in the course of vitiligo, both through sleep regulation and its anti-inflammatory properties. The evidence suggests that the systemic and physiological properties of melatonin, especially its circadian behavior regulated by phototherapy, may be more effective in respect of vitiligo improvement than the use of topical melatonin. However, the effects of the oral intake of melatonin are less clear. Phototherapy, as a potential modulator of circadian melatonin rhythm, that influences sleep and clinical improvement of vitiligo, needs further examination, as does the use of melatonin as an adjuvant treatment to UVB phototherapy in vitiligo.

Associations between obesity, a composite risk score for probable long COVID, and sleep problems in SARS-CoV-2 vaccinated individuals

BACKGROUND

Preliminary data suggests that obesity might hasten the decline in mRNA vaccine-induced immunity against SARS-CoV-2. However, whether this renders individuals with obesity more susceptible to long COVID symptoms post-vaccination remains uncertain. Given sleep's critical role in immunity, exploring the associations between obesity, probable long COVID symptoms, and sleep disturbances is essential.

METHODS

We analyzed data from a survey of 5919 adults aged 18 to 89, all of whom received two SARS-CoV-2 mRNA vaccinations. Participants were categorized into normal weight, overweight, and obesity groups based on ethnicity-specific BMI cutoffs. The probability of long COVID was evaluated using the Post-Acute Sequelae of SARS-CoV-2 (PASC) score, as our survey did not permit confirmation of acute SARS-CoV-2 infection through methods such as antibody testing. Additionally, sleep patterns were assessed through questionnaires.

RESULTS

Participants with obesity exhibited a significantly higher adjusted odds ratio (OR) of having a PASC score of 12 or higher, indicative of probable long COVID in our study, compared to those with normal weight (OR: 1.55, 95% CI: 1.05, 2.28). No significant difference was observed for overweight individuals (OR: 0.92 [95% CI: 0.63, 1.33]). Both obesity and probable long COVID were associated with increased odds of experiencing a heightened sleep burden, such as the presence of obstructive sleep apnea or insomnia (P < 0.001). However, no significant interaction between BMI and probable long COVID status was found.

CONCLUSIONS

Even post-vaccination, individuals with obesity may encounter a heightened risk of experiencing prolonged COVID-19 symptoms. However, confirming our observations necessitates comprehensive studies incorporating rigorous COVID infection testing, such as antibody assays - unavailable in our anonymous survey. Additionally, it is noteworthy that the correlation between probable long COVID and sleep disturbances appears to be independent of BMI.

Altered neutrophil extracellular traps formation among medical residents with sleep deprivation

Resident physicians on long-term night shifts often face sleep deprivation, affecting the immune response, notably neutrophils, vital to innate defense mechanisms. Sleep-deprived residents exhibit altered neutrophil counts and reduced phagocytosis and NADPH oxidase activity, critical to combating infections. Our study focused on neutrophil extracellular traps (NETs), a defense process against pathogens not previously linked to sleep loss. Results revealed that sleep-deprived residents exhibited a 19.8 % reduction in NET formation compared to hospital workers with regular sleep patterns (P < 0.01). Additionally, key NETs proteins, Neutrophil Elastase and Myeloperoxidase, were less active in sleep-deprived individuals (1.53mU; P < 0.01 and 0.95U; P < 0.001 decrease, accordingly). Interestingly, the ability to form NETs resumed to normal levels three months post-residency among pediatric residents. The causal relationship between reduced NETs due to sleep deprivation and the increased susceptibility to infections, as well as its implications for infection severity, is a critical area for further investigation.

Predictive models for personalized precision medical intervention in spontaneous regression stages of cervical precancerous lesions

BACKGROUND

During the prolonged period from Human Papillomavirus (HPV) infection to cervical cancer development, Low-Grade Squamous Intraepithelial Lesion (LSIL) stage provides a critical opportunity for cervical cancer prevention, giving the high potential for reversal in this stage. However, there is few research and a lack of clear guidelines on appropriate intervention strategies at this stage, underscoring the need for real-time prognostic predictions and personalized treatments to promote lesion reversal.

METHODS

We have established a prospective cohort. Since 2018, we have been collecting clinical data and pathological images of HPV-infected patients, followed by tracking the progression of their cervical lesions. In constructing our predictive models, we applied logistic regression and six machine learning models, evaluating each model's predictive performance using metrics such as the Area Under the Curve (AUC). We also employed the SHAP method for interpretative analysis of the prediction results. Additionally, the model identifies key factors influencing the progression of the lesions.

RESULTS

Model comparisons highlighted the superior performance of Random Forests (RF) and Support Vector Machines (SVM), both in clinical parameter and pathological image-based predictions. Notably, the RF model, which integrates pathological images and clinical multi-parameters, achieved the highest AUC of 0.866. Another significant finding was the substantial impact of sleep quality on the spontaneous clearance of HPV and regression of LSIL.

CONCLUSIONS

In contrast to current cervical cancer prediction models, our model's prognostic capabilities extend to the spontaneous regression stage of cervical cancer. This model aids clinicians in real-time monitoring of lesions and in developing personalized treatment or follow-up plans by assessing individual risk factors, thus fostering lesion spontaneous reversal and aiding in cervical cancer prevention and reduction.

The Triad of Sleep, Immunity, and Cancer: A Mediating Perspective

The triadic interplay between sleep, immunity, and cancer represents a growing area of biomedical research with significant clinical implications. This review synthesizes the current knowledge on how sleep influences immune function, the immune system's role in cancer dynamics, and the direct connections between sleep patterns and cancer risk. After a comprehensive overview of the interrelationships among these three domains, the mechanisms of sleep in immune function are described, detailing how sleep regulates the immune system, the effects of sleep duration and quality on immune responses, and the underlying molecular and cellular mechanisms. Also, the complex relationship between immunity and cancer is explored, highlighting the immune system's role in cancer prevention and progression, immune surveillance, tumor microenvironment, and the implications of immunodeficiency and immune modulation on cancer risk. The direct connections between sleep and cancer are then described, presenting epidemiological evidence linking sleep patterns to cancer risk, biological mechanisms that influence cancer development, and the role of sleep disorders in cancer prognosis. The mediating role of sleep between immunity and cancer is highlighted, proposing hypothesized pathways, summarizing evidence from experimental and clinical studies, and evaluating the impact of sleep interventions on immune function and cancer outcomes. This review concludes by discussing the clinical implications and future directions, emphasizing the potential for sleep-based interventions in cancer prevention and treatment, the integration of sleep management in oncology and immunotherapy, and outlining a future research agenda. This agenda includes understanding the mechanisms of the sleep-immunity-cancer interplay, conducting epidemiological studies on sleep and cancer risk, assessing the impact of sleep management in cancer treatment protocols, exploring sleep and tumor microenvironment interactions, and considering policy and public health implications. Through a detailed examination of these interconnected pathways, this review underscores the critical importance of sleep in modulating immune function and cancer outcomes, advocating for interdisciplinary research and clinical strategies to harness this knowledge for improved health outcomes.

Coffee and sleep: Benefits and risks

Consuming coffee, a widely enjoyed beverage with caffeine, can impact the central nervous system and disturb sleep if taken too close to bedtime. Caffeine impacts sleep by slowing the onset, blocking adenosine receptors, lowering deep sleep levels, disrupting sleep patterns, and lessening rapid eye movement sleep. Although coffee can help with alertness in the morning, it may disturb sleep in the evening, particularly for individuals who are sensitive to caffeine. To enhance the quality of sleep, reduce the consumption of caffeine in the afternoon and evening, refrain from drinking caffeine before going to bed, and choose decaffeinated drinks instead. Variables such as personal reactions, ability to handle caffeine, and engagement with other compounds also influence the impact of coffee on sleep. Keeping track of how much caffeine you consume and your sleeping habits can assist in recognizing any disturbances and making needed changes. Furthermore, taking into account variables such as metabolism, age, and the timing of coffee consumption can assist in lessening the effects of coffee on sleep. In general, paying attention to the amount of caffeine consumed from different sources and consuming it at the right times can assist in preserving healthy sleep patterns even while enjoying coffee.