Effects of Ganoderma lucidum polysaccharides peptide on tumor metastasis in mice with sleep fragmentation

In recent years,studies have shown that there is a correlation between sleep disorders and cancer,but at the present stage,the research on sleep disorders and tumor related animal models is relatively insufficient.Our research will focus on mice bearing B16F10-luc-G5 melanoma tumor with sleep fragmentation,detecting promoting effect of sleep fragmentation(SF)on the metastasis of melanoma.At the same time,we used Ganoderma lucidum poly⁃saccharides peptide(GL-pp,80 mg·kg-1),a component of traditional Chinese medicine Ganoderma lucidum,which has long enjoyed a good reputation at home and abroad,to observe its anti-tumor metastasis effects on B16F10-luc-G5 mice with SF.Then we used whole proteomics to analyze the difference proteins expressed in lung tissue and compared between groups,includes mice bearing B16F10-luc-G5,mice bearing B16F10-luc-G5 with SF and GL-pp administered mice bearing B16F10-luc-G5 with SF.With the analysis using bioinformatics,we found several key proteins,their genes name are Adcy9,ptk2,Yap1 and Lpin2,Per1 and Tim.And several important clusters,they are,immune system,platelet aggres⁃sion,energy metabolism,cell cytoskeleton,cell adhesion and circadian rhythms.Moreover,we detected the TLR4 signal pathway and macrophage differentiation to reconfirm the results of proteomics and trying to elucidate the mechanism of SF on tumor growth and metastasis and the effects of GL-pp.

Sleep disorders in Alzheimer’s disease:the predictive roles and potential mechanisms

Sleep disorders are common in patients with Alzheimer’s disease,and can even occur in patients with amnestic mild cognitive impairment,which appears before Alzheimer’s disease.Sleep disorders further impair cognitive function and accelerate the accumulation of amyloid-βand tau in patients with Alzheimer’s disease.At present,sleep disorders are considered as a risk factor for,and may be a predictor of,Alzheimer’s disease development.Given that sleep disorders are encountered in other types of dementia and psychiatric conditions,sleep-related biomarkers to predict Alzheimer’s disease need to have high specificity and sensitivity.Here,we summarize the major Alzheimer’s disease-specific sleep changes,including abnormal non-rapid eye movement sleep,sleep fragmentation,and sleep-disordered breathing,and describe their ability to predict the onset of Alzheimer’s disease at its earliest stages.Understanding the mechanisms underlying these sleep changes is also crucial if we are to clarify the role of sleep in Alzheimer’s disease.This paper therefore explores some potential mechanisms that may contribute to sleep disorders,including dysregulation of the orexinergic,glutamatergic,andγ-aminobutyric acid systems and the circadian rhythm,together with amyloid-βaccumulation.This review could provide a theoretical basis for the development of drugs to treat Alzheimer’s disease based on sleep disorders in future work.

USE OF PULSE TRANSIT TIME AS A MEASURE OF AUTONOMIC AROUSALS IN PATIENTS WITH OBSTRUCTIVE SLEEP APNEA

Objective To evaluate the feasibility of pulse transit time (PTT) arousals as an index of sleep fragmentation in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods Individuals referred for evaluation of possible OSAHS underwent overnight polysomnography (PSG). Three conventional indices of sleep fragmentation [electroencephalography (EEG) arousals, apnea/hypopnea index (AHI), oxygen desaturation index (ODI)], PTT arousals, and Epworth sleepiness scale (ESS) were compared. Results PTT arousals were positively correlated with EEG arousals (r= 0.746, P<0.001), AHI (r= 0.786, P<0.001), and ODI (r= 0.665, P<0.001), respectively. But, both PTT arousals and EEG arousals had no correlation with ESS (r= 0.432, P=0.201; r= 0.196, P=0.591, respectively). Conclusion PTT arousals are correlated well with other standard measures estimating severity of OSAHS and potentially a non-invasive marker with which to measure the sleep fragmentation in patients with OSAHS.

The Impact of Sleep-Wake Behaviour on Tennis Match Performance in Junior State Grade Tennis Players

Purpose To date,no study has investigated the extent to which sleep-wake behaviour(SWB)influences match performance in junior tennis players.This study aimed to assess the influence of SWB for the week and night before on match performance,particularly match analytics and activity.Methods This study recruited 10 junior state grade tennis players who wore an actigraphy device and completed a sleep diary for the week before their match on two separate occasions throughout their competition season.Players wore a global positioning system device to track their movement during matches,and an experienced tennis coach recorded players'match analytics.Results This study showed that the sleep fragmentation index was significantly lower the week before matches in females who had won than those who had lost.Additionally,the sleep fragmentation index was significantly lower the night before a given match than the week before.Only sleep fragmentation index and sleep latency significantly influenced match performance in junior tennis players.The percentage of second serves points won differed between match wins and losses for male players,while winners and forced errors differed for female players.Conclusion These findings provide a detailed profile of tennis match play in junior state grade players.Despite individual differences,reduced restlessness the night before a match coincides with increased match performance.