Overgaardgordon2287
Paeonol almost completely inhibited oxytocin-, high potassium- and Ca2+-induced contractions in isolated uteri. Antagonists of CB2R (AM630) and the MAPK pathway (U0126), but not of CB1R (AM251), reversed the inhibitory effect of paeonol on uterine contraction. Paeonol significantly blocked L-type Ca2+ channels and calcium influx in uterine smooth muscle cells via CB2R. Molecular docking results showed that paeonol fits well with the binding site of CB2R. CONCLUSIONS AND IMPLICATIONS Paeonol partially acts through CB2R to restrain calcium influx and uterine contraction to alleviate dysmenorrhea in mice. These results suggest that paeonol has therapeutic potential for the treatment of dysmenorrhea. OBJECTIVE/BACKGROUND In recent decades, the epidemiology of sleep disorders has mainly consisted of interviewing subjects through validated questionnaires; more recently, this has been done by assessing total sleep time (TST) per 24 h via sleep logs or connected devices. Thus, a vast amount of data has helped demonstrate the decline of TST in most countries. Nonetheless, we believe from a societal and environmental point of view that sleep researchers have largely overlooked a wide-open field of data that may help us to better understand and describe global sleep wake rhythms (SWR), eg, data regarding the sleep environment. METHODS Based on recent literature, we identified several environmental and societal fields that may have an effect on SWR. With the help of an expert panel, we selected the five most pertinent fields with multiple open-source data sets that may have an impact on human SWR. Then, we performed web-based research and proposed open-field data sets for each field, all of which are open to researchers and possibly scientifically associated with SWR. RESULTS The open fields relevant to the environment that we selected were noise, light pollution, and radio frequencies. The two societal fields were transportation and internet use. The evolution of most of these fields in recent decades may explain (even partially) the decline in TST. Importantly, the open data sets in each field are widely available to sleep researchers. CONCLUSIONS SWR must be assessed not only by patient accounts, but also in terms of the evolution of environmental cues. STUDY OBJECTIVES Sleep state misperception is common in various sleep disorders, especially in chronic insomnia with a prevalence ranging between 9-50%. Most prior studies used nocturnal polysomnography (PSG) for the identification of sleep state misperception during nighttime. Our objective was to assess sleep state misperception during daytime in people with sleep disorders with excessive daytime sleepiness (EDS). METHODS In this prospective observational study, we assessed the occurrence of, and factors influencing sleep state misperception in consecutive patients undergoing a routine multiple sleep latency test (MSLT) in a tertiary sleep-wake centre included between 2014 and 2017. Mixed models were applied to assess the influence of patients' clinical data on sleep state perception. RESULTS People with narcolepsy type 1 (NT1, n = 33) and type 2 (NT2, n = 14), idiopathic hypersomnia (IH, n = 56), obstructive sleep apnea (OSA, n = 31) and insufficient sleep syndrome (ISS, n = 31) were included. The prevalence of both classical and reverse sleep state misperception did not differ between the sleep disorders (mean 25%, range 8-37%) after correction for sleep stage, sleep onset latency and age. Longer sleep onset latency and reaching only non-rapid eye movement (REM) sleep stage 1 were significant predictors for classical sleep state misperception. CONCLUSIONS Sleep state misperception is common in people with NT1 and NT2, IH, OSA, and ISS. Classical sleep state misperception is more frequent in patients with longer sleep onset latencies who only reach non-REM sleep stage 1 during a nap. OBJECTIVE The association between sleep duration and general and abdominal obesity in adults, especially in the rural Chinese population, remains unclear. Therefore, we conducted this study to evaluate the association between sleep duration and general and abdominal obesity in rural Chinese adults. METHODS We included 12,446 adults aged 18-75 years old who completed a baseline examination during 2007-2008 and follow-up during 2013-2014. We prospectively investigated the sleep-obesity association over an average of six-year follow-up. Multivariable logistic regression was performed to assess the probability of new-onset general and abdominal obesity, estimating odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS As compared with sleep duration 6.5-7.5 h, short sleep duration (60 years but not in women or in men ≤60 years. We found no significant association between sleep duration and general obesity. The results were consistent when restricting the analysis to participants without cardiovascular disease, type 2 diabetes mellitus or cancer at baseline. CONCLUSIONS Short sleep duration was significantly associated with abdominal obesity in rural Chinese adults, and the association varied by sex and age. The increasing use of silver nanoparticles (AgNPs) due to their well-known antimicrobial activity, has led to their accumulation in soil ecosystems. However, the impact of environmental realistic concentrations of AgNPs on the soil microbial community has been scarcely studied. In this work, we have assessed the impact of AgNPs, that mimic real concentrations in nature, on tropical soils cultivated with Coffea arabica under conventional and organic management systems. https://www.selleckchem.com/products/cbr-470-1.html We evaluated the biomass, extracellular enzyme activities, and diversity of the soil microbial community, in a microcosm experiment as a function of time. After seven days of incubation, we found an increase in microbial biomass in an AgNPs-concentration-independent manner. In contrast, after 60-day-incubation, there was a decrease in Gram+ and actinobacterial biomass, in both soils and all AgNPs concentrations. Soil physico-chemical properties and enzyme activities were not affected overall by AgNPs. Regarding the microbial community composition, only some differences in the relative abundance at phylum and genus level in the fungal community were observed.