Association of serum BDNF levels and the BDNF Val66Met polymorphism with the sleep pattern in healthy young adults

The sleep paradox: The effect of weekend catch-up sleep on homeostasis and circadian misalignment

Weekend catch-up sleep involves not only changes in sleep duration between weekdays and weekends but also changes in sleep timing. When people sleep less during the weekdays, they accumulate sleep debt and extend their sleep duration on weekends to compensate, which is related with the homeostatic process. Thus, extend their sleep duration on weekends seems to be a protectively strategy of daytime function, mental and physical health. However, not all studies support this protective effect. Sleep duration changes with sleep timing. The difference in sleep timing between weekdays and weekends might bring social jet lag (SJL). Sleep duration changes with sleep timing. The difference in sleep timing between weekdays and weekends can lead to SJL, representing the discrepancy between the biological clock and the social clock. This makes SJL an indicator of circadian misalignment, which is associated with poor daytime function, reduced nighttime sleep quality, and an increased risk of depression, metabolic disturbances, and other diseases. Paradoxically, the protective effect of weekend catch-up sleep duration on the homeostatic process (compensating for sleep debt) and the potential impact of weekend catch-up sleep timing on the circadian process (circadian misalignment) contradict each other. A more comprehensive understanding of weekend catch-up sleep is essential to investigate its mechanisms using the two-process model and other influencing factors.

Enhanced detection of Brain-Derived Neurotrophic Factor (BDNF) using a reduced graphene oxide field-effect transistor aptasensor

Neurodegenerative diseases, characterized by the progressive deterioration of neuronal function and structure, pose significant global public health and economic challenges. Brain-Derived Neurotrophic Factor (BDNF), a key regulator of neuroplasticity and neuronal survival, has emerged as a critical biomarker for various neurodegenerative and psychiatric disorders, including Alzheimer's disease. Traditional diagnostic methods, such as Enzyme-Linked Immunosorbent Assay (ELISA) and electrochemiluminescence (ECL) assays, face limitations in terms of sensitivity, stability, reproducibility, and cost-effectiveness. In this research, we developed the first electrical aptasensor for BDNF detection, constructed on a flexible polyimide (PI) membrane coated with reduced graphene oxide (r-GO) and utilized an extended-gate field-effect transistor (EGFET) as the transducer. Comprehensive characterization of the sensor, coupled with the fine-tuning of aptamer concentration and the binding time of DNA aptamers to the chemical linker, was achieved through Electrochemical Impedance Spectroscopy (EIS) to boost sensitivity. Consequently, by utilizing the unique properties of r-GO and DNA aptamers, the aptasensor exhibited exceptional detection abilities, with a detection limit as low as 0.4 nM and an extensive response range spanning from 0.025 to 1000 nM. The flexible PI-based electrode offers exceptional stability, affordability, and durability for home diagnostics, enriched by the reusability of its electronic transducer, making the device highly portable and suitable for prolonged monitoring. Our aptasensor surpasses traditional methods, showcasing superior real-time performance and reliability. The high sensitivity and specificity of our aptasensor highlight its potential to significantly improve early diagnosis and therapeutic monitoring of neurodegenerative diseases such as Alzheimer's, representing a considerable advancement in the diagnosis and management of such conditions.

Brain-Derived Neurotrophic Factor is Associated with Self-Reported Quality of Sleep in Type 2 Diabetes Patients in Ghana

OBJECTIVE

Sleep disturbances are common in patients with type 2 diabetes (T2DM), and this exacerbates disease severity and results in poor quality of life. Brain-derived neurotrophic factor (BDNF) has been reported to mediate the association between T2DM and poor sleep health. The burden of self-reported poor sleep quality and duration in T2DM and their association with serum BDNF levels were investigated.

METHODS

In this case-control design, the Pittsburgh Sleep Quality Instrument was used to assess self-reported sleep quality and duration in 100 patients with T2DM and 80 nondiabetic controls. Sociodemographic data and medical history were collected from case notes and/or using a structured questionnaire. Fasting venous blood samples (5 mL) were collected to measure plasma lipid profile and serum BDNF levels.

RESULTS

patients with T2DM had low levels of BDNF, poor sleep quality (61.9% vs 27.5%, p<0.001), and shorter sleep duration (6.1±2.2 vs 6.9±1.1 h, p=0.003). T2DM status was associated with doubling the odds of poor sleep quality [OR (95%CI)=2.06 (1.07-6.43), p=0.039] and 1.6 times the odds of short sleep duration [1.63 (1.03-3.79), p=0.028]. Multivariable logistic regression analysis revealed no association between serum BDNF levels and sleep status. However, there was a negative biological interaction between T2DM and BDNF levels on poor sleep quality, resulting in 0.28 relative excess risk due to the interaction and a 12% attributable proportion due to the interaction.

CONCLUSION

In this study population, patients with T2DM had a high burden of self-reported poor quality of sleep and shorter sleep duration compared to the nondiabetic controls. T2DM interacts negatively with serum BDNF levels to affect sleep quality.

Improving Children's Sleep Habits Using an Interactive Smartphone App: Community-Based Intervention Study

BACKGROUND

Sleep problems are quite common among young children and are often a challenge for parents and a hinderance to children's development. Although behavioral therapy has proven effective in reducing sleep problems in children, a lack of access to professionals who can provide effective support is a major barrier for many caregivers. Therefore, pediatric sleep experts have begun developing apps and web-based services for caregivers. Despite the substantial influence of cultural and familial factors on children's sleep, little effort has gone into developing cultural or family-tailored interventions.

OBJECTIVE

This study aimed to examine the effectiveness of the interactive smartphone app "Nenne Navi," which provides culturally and family-tailored suggestions for improving sleep habits in young Japanese children through community-based long-term trials. The study also aimed to investigate the association between app-driven improvements in sleep and mental development in children.

METHODS

This study adopted a community-based approach to recruit individuals from the Higashi-Osaka city (Japan) who met ≥1 of the following eligibility criteria for sleep problems: sleeping after 10 PM, getting <9 hours of nighttime sleep, and experiencing frequent nighttime awakenings. A total of 87 Japanese caregivers with young children (mean 19.50, SD 0.70 months) were recruited and assigned to the app use group (intervention group) or the video-only group (control group). Both groups received educational video content regarding sleep health literacy. The caregivers in the intervention group used the app, which provides family-tailored suggestions, once per month for 1 year.

RESULTS

A total of 92% (33/36) of the caregivers in the app use group completed 1 year of the intervention. The participants' overall evaluation of the app was positive. The wake-up time was advanced (base mean 8:06 AM; post mean 7:48 AM; F_1,65=6.769; P=.01 and sleep onset latency was decreased (base mean 34.45 minutes; post mean 20.05 minutes; F_1,65=23.219; P<.001) significantly in the app use group at the 13th month compared with the video-only group. Moreover, multiple regression analysis showed that decreased social jetlag (β=-0.302; P=.03) and increased sleep onset latency SD (β=.426; P=.02) in children predicted a significant enhancement in the development of social relationships with adults. At 6 months after the completion of the app use, all the caregivers reported continuation of the new lifestyle.

CONCLUSIONS

The present findings suggest that the app "Nenne Navi" has high continuity in community use and can improve sleep habits in young Japanese children and that interventions for sleep habits of young children may lead to the enhancement of children's social development. Future studies must focus on the effectiveness of the app in other regions with different regional characteristics and neuroscientific investigations on how changes in sleep impact brain development.

Association of Sleep, Body Weight and Physical Exercise with Plasma BDNF Levels in Healthy Male Saudi Smokers

Introduction

Brain-derived neurotrophic factor (BDNF) has been shown to impact neural function and development. The BDNF plasma levels may be affected by a smoker’s behavior. Thus, the aim of this study was to investigate the association between sleep, body weight and physical exercise with brain-derived neurotrophic factor (BDNF) in healthy male Saudi smokers.

Methods

A cross-sectional study, with a convenience sample, was conducted during personal visits to the Anti-Smoking Clinic and Family and Community Medical Center of Imam Abdurrahman Bin Faisal University (IAU) in Dammam at the end of 2018. Blood samples were taken from participants to measure the BDNF plasma levels. Multiple linear regression analysis was used to examine the relationship between plasma BDNF levels and participants’ background characteristics, such as smoking index, physical activity, body mass index (BMI) and Pittsburgh sleep quality index (PSQI).

Results

A sample of 73 (31 smokers and 42 non-smokers) males took part in the study. The results demonstrated a significant relationship between plasma BDNF levels with physical activity, smoking age, smoking index, PSQI and BMI 25–29.9 (overweight). However, the results showed no significant relationship between plasma BDNF levels and BMI (healthy weight) and obesity.

Conclusion

This study shows that physical activity and sleeping quality can provide a positive impact against smoking-associated variation of the BDNF plasma levels, which may affect the health of Saudi males. Further investigation is needed to understand what other potential background characteristics are best predictive or correlated with BDNF plasma levels.

Relationship between sleep duration and quality and mental health before and during COVID-19 pandemic: Results of population-based studies in Brazil

OBJECTIVE

This study aimed to evaluate the association between sleep duration and quality and mental health before and amid the COVID-19 pandemic.

METHODS

Data from two population-based cross-sectional studies conducted in 2019 and 2020 with adults in Criciúma, Southern Brazil. The Patient Health Questionnaire-9 (PHQ-9) was used to screen major depressive episodes, while the perceived stress scale was used to assess perceived stress. Sleep was evaluated through self-reported duration and quality. Crude and adjusted Poisson regression models were used to assess the association between sleep and mental health disorders.

RESULTS

A total of 820 (in 2019) and 863 subjects (in 2020) were assessed. Sleep quality presented significant associations with depression and stress in both years, and the magnitude of the association with depression increased amid COVID-19 pandemic. In individuals with poor/very poor sleep quality, the risk of depression in 2019 was 2.14 (95%IC 1.48;3.09) higher when compared to those with good/very good sleep quality. This risk increased to 2.26 (95%IC 1.49;3.40) in 2020. The risk of stress was 1.90 (95%IC 1.42;2.55) in 2019 and 1.66 (95%IC1.34;2.07) in 2020. The sleep duration was not associated with mental health disorders in the adjusted analyses.

CONCLUSION

The results provide important evidence that sleep quality can influence mental health of adults. The COVID-19 pandemic seems to have had a considerable impact on this association.

Comparison of mental health, quality of sleep and life among patients with different stages of chronic kidney disease and undergoing different renal replacement therapies

BACKGROUND

The present study aimed to investigate and compare mental health, health-related quality of life, and sleep levels of patients with various stages of chronic kidney disease (CKD) and undergoing different renal replacement therapies and analyze the factors affecting these parameters.

METHODS

Overall, 140 patients with a mean age of 43 ± 14 years were recruited into this study. Study groups [controls and patients with CKD undergoing predialysis, hemodialysis (HD), peritoneal dialysis, kidney transplantation (KT)] were evaluated using Short Form Health Survey-36 (SF-36), Kidney Disease Quality of Life-36 (KDQoL-36), Pittsburgh Sleep Quality Index (PSQI), and General Health Questionnaire-12 (GHQ-12).

RESULTS

The KT group had the highest scores in physical and mental components of the subscales of SF-36 and KDQoL-36 but the lowest scores in PSQI and GHQ-12, indicating the best results in terms of mental health and quality of life, and sleep. Serum albumin and hemoglobin levels were positively correlated with several subscales of quality of life. Significant negative correlations were observed among PSQI, GHQ-12, and subscale scores of SF-36 and KDQoL-36. The HD group showed significantly lower scores in the subscales of symptoms and burden of kidney disease of KDQoL-36.

CONCLUSION

KDQoL was worse in the HD group and better in the KT group than in other groups. Serum albumin and hemoglobin levels, and Kt/V (dialyzer clearance of urea multiplied by dialysis time and normalized for urea distribution volume ) values of patients with CKD exerted a linear and significant effect on the quality of life, which showed a significant positive correlation with the quality of sleep and mental health. In contrast, serum calcium x phosphorus levels showed an inverse correlation with the subscale scores of KDQoL. HIPPOKRATIA 2020, 24(2): 51-58.