Shared genetic mechanisms underlying association between sleep disturbances and depressive symptoms.

OBJECTIVES: Polygenic scores (PGS) for sleep disturbances and depressive symptoms in an epidemiological cohort were contrasted. The overlap between genes assigned to variants that compose the PGS predictions was tested to explore the shared genetic bases of sleep problems and depressive symptoms. METHODS: PGS analysis was performed on the São Paulo Epidemiologic Sleep Study (EPISONO, N = 1042), an adult epidemiological sample. A genome wide association study (GWAS) for depression grounded the PGS calculations for Beck Depression Index (BDI), while insomnia GWAS based the PGS for Insomnia Severity Index (ISI) and Pittsburg Sleep Quality Index (PSQI). Pearson's correlation was applied to contrast PGS and clinical scores. Fisher's Exact and Benjamin-Hochberg tests were used to verify the overlaps between PGS-associated genes and the pathways enriched among their intersections. RESULTS: All PGS models were significant when individuals were divided as cases or controls according to BDI (R2 = 1.2%, p = 0.00026), PSQI (R2 = 3.3%, p = 0.007) and ISI (R2 = 3.4%, p = 0.021) scales. When clinical scales were used as continuous variables, the PGS models for BDI (R2 = 1.5%, p = 0.0004) and PSQI scores (R2 = 3.3%, p = 0.0057) reached statistical significance. PSQI and BDI scores were correlated, and the same observation was applied to their PGS. Genes assigned to variants that compose the best-fit PGS predictions for sleep quality and depressive symptoms were significantly overlapped. Pathways enriched among the intersect genes are related to synapse function. CONCLUSIONS: The genetic bases of sleep quality and depressive symptoms are correlated; their implicated genes are significantly overlapped and converge on neural pathways. This data suggests that sleep complaints accompanying depressive symptoms are not secondary issues, but part of the core mental illness.

Sleep patterns according to genetically determined ethnicity in the population of São Paulo, Brazil.

Sleep is a behavior expressed differently for each individual. However, studies have shown that some ethnic groups express common sleep patterns, which can be observed in different ethnic groups. Previous studies have shown the existence of sleep disparities in populations of different ethnicities. Most of these studies have considered self-reported ethnicity and assessed sleep subjectively. Therefore, the aim of this study was to evaluate sleep disparities in different ethnic groups based on an analysis of genetic ancestry and the use of objective sleep evaluation. To do this, we used data from the São Paulo Epidemiologic Sleep Study (EPISONO), which was undertaken in Brazil, a country that is known for its ethnic/racial diversity. All individuals completed a series of questionnaires, underwent full polysomnography and had their blood collected for DNA extraction. After genotyping and identifying samples with high-quality DNA suitable for genetic analysis, 31 ancestry-informative markers (AIMs) were selected. These markers exhibited substantial allelic frequency differences, enabling the characterization of the three primary founding populations of modern Brazil - Europeans, West-Africans, and Native Americans. Through this analysis, the genetic contribution of each of these ancestral groups was identified in respect of each participant. Based on this, a latent class cluster analysis (LCCA) was performed to define the three clusters that best classified the sample according to ethnic group: African (n = 255), Caucasian (n = 668) and Native American (n = 83). Applying the adjusted model for the confounding variables (age, socio-economic class and sex), statistically significant differences in sleep variables between ethnicities were found. Africans had higher sleep latency compared to the other groups (ß = 4.46, CI = 1.18 to 7.74 and ß = 7.83, CI = 3.50 to 12.15), while Caucasians had longer total sleep time (ß = -16.47, CI = -29.94 to -2.99) and better sleep efficiency (ß = -2.19, CI = -4.35 to -0.02) compared to Africans. Regarding the respiratory arousals index (ß = -1.11, IC = -2.07 to -0.16) and periodic leg movements index (ß = -7.48, CI = -12.08 to -2.88), both were higher among Caucasians compared to Africans. We were able to conclude that genetic ancestry might modulate sleep structure and the occurrence of sleep disorders.

What is the Effect of CPAP Treatment With Humidifier on Vocal Quality?

OBJECTIVE: Evaluate vocal quality in patients with OSA before and after continuous use of CPAP with a humidifier using subjective patient perception and clinical assessment. The hypothesis was that CPAP treatment with a humidifier would benefit voice quality. STUDY DESIGN: Randomized, sham-controlled, blinded clinical trial. METHODS: Forty-three natal males with obstructive sleep apnea for whom CPAP treatment was recommended following polysomnography were randomized into two therapy groups: CPAP and Sham-CPAP. Participants completed questionnaires on voice use, a voice self-assessment with the ten-item vocal handicap index (VHI-10), and complementary questionnaires: the Epworth sleepiness scale (ESS), Pittsburgh sleep quality index (PSQI), reflux symptoms index (LPRSI) and oral dryness visual analog scale (DRY). Their voices were recorded at three different times: before CPAP therapy, and after 3 and 6 months of continuous CPAP use. The acoustic voice quality index (AVQI), and an auditory-perceptual judgment (APJ) were also applied before and after the CPAP and Sham treatments. RESULTS: After 6 months of treatment, the CPAP group presented improvements in their sleep patterns; however, no statistically significant differences were observed between the groups in respect of the results of the voice-related questionnaires, the AVQI values, and the APJ of the voice quality. All of the participants had some degree of vocal deviation at baseline. CONCLUSIONS: CPAP therapy with a humidifier did not improve vocal quality as evaluated by the clinician or patient self-assessment. However, it did not have any significant negative effects on voice quality, so can be considered safe to use in male OSA patients.

Endocrine and Epigenetic Regulation as Common Pathways Underlying the Genetic Basis of Sleep Traits and Longevity.

The amount of sleep needed over one's lifespan is age dependent and not sleeping enough or sleeping in excess is associated with increased morbidity and mortality. Yet, the convergent molecular mechanisms that link longevity and sleep are largely unknown. We performed a gene enrichment study that (1) identified genes associated with both longevity and sleep traits and (2) determined molecular pathways enriched among these shared genes. We manually curated two sets of genes, one associated with longevity and aging and the other with sleep traits (e.g., insomnia, narcolepsy, sleep duration, chronotype, among others), with both gene lists heavily driven by hits from recent large-scale Genome-Wide Association Studies. There were 47 overlapping genes between the gene list associated with sleep traits (1064 genes total) and the genes associated with longevity (367 genes total), indicating significantly more overlap than expected by chance. An overrepresentation analysis identified enriched pathways that suggest endocrine and epigenetic regulation as potential shared mechanisms between sleep traits and longevity. Concordantly, functional network analysis retrieved two clusters, being one associated with proteins of nuclear functions and the other, with extracellular proteins. This overlapping gene set, and the highlighted biological pathways may serve as preliminary findings for new functional investigations of sleep and longevity shared genetic mechanisms.

Genetic basis of sleep phenotypes and rare neurodevelopmental syndromes reveal shared molecular pathways.

Sleep-related phenotypes have been frequently reported in early on-set epileptic encephalopathies and in developmental delay syndromes, in particular in syndromes related to autism spectrum disorder. Yet the convergent pathogenetic mechanisms between these comorbidities are largely unknown. We first performed a gene enrichment study that identified shared risk genes among rare epileptic encephalopathies/neurodevelopmental disorders, rare developmental delay genetic syndromes and sleep disturbances. We then determined cellular and molecular pathways enriched among genes shared between sleep phenotypes and those two early onset mental illnesses, aiming to identify genetic disparities and commonalities among these phenotypic groups. The sleep gene set was observed as significantly overlapped with the two gene lists associated to rare genetic syndromes (i.e., epileptic encephalopathies/neurodevelopmental disorders and developmental delay gene sets), suggesting shared genetic contribution. Similarities across significantly enriched pathways between the two intersect lists comprehended mostly synapse-related pathways, such as retrograde endocannabinoid signaling, serotonergic, and GABAergic synapse. Network analysis indicates epileptic encephalopathies/neurodevelopmental disorders versus sleep-specific clusters and developmental delay versus sleep-specific clusters related to synaptic and transcriptional regulation, respectively. Longstanding functional patterns previously described in epileptic encephalopathies and neurodevelopmental disorders genetic architecture were recaptured after dissecting the overlap between the genes associated to those developmental phenotypes and sleep disturbances, suggesting that during neurodevelopment different molecular and functional mechanisms are related to alterations on circadian rhythm. The overlapping gene set and biological pathways highlighted by this study may serve as a primer for new functional investigations of shared molecular mechanisms between sleep disturbances and rare developmental syndromes.

Effect of male-specific childhood trauma on telomere length.

Child maltreatment (CM) is a global issue with serious lifelong consequences. In fact, maltreatment during childhood might be an important risk factor for the development of psychiatric disorders. Furthermore, previous studies showed a strong relationship between telomere length (TL) and early life stress. Considering that only a few studies have evaluated this relationship in children and that even fewer considered the sex as a possible moderator, we investigated whether TL in the blood of both children and adolescents was associated with psychopathology and with a history of CM, and whether these associations were moderated by the sex. In this cross-sectional study, 561 individuals (ranging between 6 and 14 years of age) from a large prospective community school-based study, i.e., the Brazilian High-Risk Cohort (HRC), were evaluated. The Child Behavior Checklist (CBCL) score was used to assess psychopathology, whereas a latent variable encompassing some questions about history of adverse environment and trauma was employed to determine the CM history. TL was measured in blood cells using a multiplex quantitative polymerase chain reaction. Additionally, TL was inserted in two moderation models, in which the CBCL score/CM, TL and sex were the independent variables, the outcome, and the moderator variable, respectively. Although an association between psychiatric symptoms and TL was not observed, a relation between CM and TL moderated by the sex was seen, indicating that males with higher CM scores presented with shorter telomeres than did females. Our results suggest that child maltreatment could influence telomere length in both children and adolescents and that this effect is mediated by the sex.

Telomere length as a marker of sleep loss and sleep disturbances: a potential link between sleep and cellular senescence.

The identification of biological markers that allow the early diagnosis, or even the prevention of age-related diseases, is an important goal that is being actively pursued in the research community. Sleep is one of the physiological processes that is most affected by aging, and there is a strong relationship between age-related sleep alterations and diseases. Changes in cellular senescence and the linked changes in telomere length might be potential markers of age-related sleep changes. In this review, we present some of the most recent evidence showing that telomere length has been associated with sleep loss and sleep disturbances in cross-sectional and case-control studies. We also present insights into the cellular senescence mechanisms relating to changes in telomere length, and we suggest that this field lacks basic and clinical research studies, especially long-term longitudinal studies, which may bring opportunities to sleep researchers to investigate this relationship in more depth.