Dreiercoyle6981

Although craving is a formal DSM-5 criterion and a commonly reported feature of opioid use disorder (OUD), there is no universally accepted assessment of opioid craving for treatment outcome studies or clinical trials. This mixed-methods study characterized dimensions of opioid craving identified in qualitative responses collected via Amazon Mechanical Turk (AMT).

Thirty-nine participants completed an online screener on AMT and met inclusion criteria (e.g., > = 18 years old and past 30-day illicit opioid use). These participants completed a series of closed- and open-ended questions about their opioid use and craving, including several commonly-used craving measures. They also rated their preference for how different questions described craving. Responses to the open-ended question "What do you mean when you say you are craving opioids?" were coded according to dimensions in existing opioid craving assessments and other common themes identified in the data.

Among the 39 participants, 8 different dimensions were identified and coded. Descriptions of craving were most frequently categorized as "Anticipation of Negative Reinforcement" (n = 17/39) and "Interfering Thoughts" (N = 14/39). Individuals with drug use characteristics reflecting greater severity of use were more likely to describe craving as "Interfering Thoughts". Participants may prefer opioid craving questions that included Visual Analog Scale response formats relative to Likert scales.

There is a wide range of dimensions that were used to describe opioid craving and no single unifying dimension was identified. These data suggest opioid craving is a multidimensional construct including dimensions currently not included in common craving assessments.

There is a wide range of dimensions that were used to describe opioid craving and no single unifying dimension was identified. These data suggest opioid craving is a multidimensional construct including dimensions currently not included in common craving assessments.

Research has proposed that selective serotonin reuptake inhibitors (SSRIs) were associated with a reduction of the risk of hepatocellular carcinoma (HCC). The objective of this study is to investigate whether SSRIs use is associated with decreased risk of HCC in patients with alcohol use disorder (AUD).

We conducted a retrospective population-based cohort study using Taiwan's National Health Insurance Research Database (NHIRD) from 1997 to 2013 and enrolled patients with newly diagnosed AUD. After propensity scores matching at a ratio 14, total of 4945 SSRI users and 19,785 non-SSRI users were included in the matched cohort. Patients were followed up from the 365th day after the date of first exposure to SSRIs to occurrence of HCC, the date of death, or the end of 2013. Cox proportional hazard regressions were performed to evaluate hazard ratio (HRs) for HCC in SSRI-exposed patients compared with unexposed patients.

In the main study cohort, SSRI use was associated with significant lower risk of HCC compared to the non-SSRI users after adjusting for age, sex, income, urbanization, alcoholic fatty liver, alcoholic hepatitis and diabetes (adjusted hazard ratio [aHR] = 0.31, 95 % CI = 0.24-0.39). The negative association of SSRI use and HCC was replicated in the matched cohort (aHR = 0.58, 95 % CI = 0.44-0.77). The effect of SSRI use on HCC was dose-related in both cohorts (p for trend < 0.0001).

This study showed that SSRIs use was associated with a reduction risk of HCC among AUD patients in a cumulative dose effect manner.

This study showed that SSRIs use was associated with a reduction risk of HCC among AUD patients in a cumulative dose effect manner.

Polysubstance involvement is increasing among fatal drug overdoses. However, little is known about the epidemiology of polysubstance drug overdoses. This paper describes emerging trends in unintentional polysubstance overdose deaths in North Carolina (NC) and examines associations with individual and community factors.

Using 2009-2018 NC death certificate data, we identified unintentional drug overdose deaths and commonly involved substances (opioids, stimulants, benzodiazepines, alcohol, and antiepileptics). We examined polysubstance combinations, comparing opioid and non-opioid involved deaths. We examined individual level correlates from death certificate data and community level correlates from the American Community Survey and Robert Wood Johnson Foundation County Health Rankings to quantify associations.

From 2009-2018, 53 % of opioid and 19 % of non-opioid overdose deaths involved multiple substances. During this period, polysubstance overdose death increased dramatically, from 2.9 to 12.1 per 10 NC. These findings can be used to inform public health interventions addressing polysubstance deaths and associated individual and community level factors.CRISPR/Cas9 systems have revolutionised the field of gene editing, allowing for precise modifications to be generated in vivo to mimic the genetic events found in human cancer cells. These systems may be used to generate germline or somatic loss-of-function of events, and also chromosomal rearrangements, either constitutively or in a spatiotemporally controlled manner. Selisistat order Forward genetic screens have also been performed using CRISPR/Cas9 systems to identify new driver genes and approaches using catalytically inactive Cas9 fused to base editors have enabled genome editing with single-base precision. Here we discuss the many 'flavours' of the CRISPR/Cas9 system and give examples of their use for the generation of clinically-relevant mouse models of cancer.

To create a sleep duration classification technique for waist-worn ActiGraph accelerometers in preschool-aged children.

Children wore ActiGraph wGT3X-BT accelerometers on their right hip for 7 days (24h/day). Ground truth nap, sleep, and wake were estimated through visual inspection of accelerometer data, guided by sleep log-sheets and previously published visual inspection heuristics. Raw accelerometer data (30Hz) were used to generate 144 features aggregated to 1-min epochs. Machine learning classification (ie, Random Forest and Hidden Markov Modeling [HMM]) predicted nap, sleep, and wake. A simplified prediction formula was also created using features (n=10) with the highest mean decrease in Gini index during training of Random Forests, and temporally smoothed with rolling median calculations.

Children (n=89, mean age=4.5 years, 67% boys) contributed >600,000min of accelerometer data. Overall classification accuracy of the Random Forest and HMM classifier was 96.2% (95%CI 96.1, 96.2%), with a Kappnd truth sleep measurements.Cardiovascular disease is the leading cause of death in the world. In addition to non-modifiable factors such as age and sex, cardiovascular risk is also driven by behavioral, and therefore somewhat modifiable, factors such as physical activity, diet, and sleep. It is well established that sleep duration has a U-shaped association with mortality and cardiovascular disease, with recent evidence suggesting that this association is observed even while controlling for the effects of comorbid conditions. Whereas several biological mechanisms mediating the association between chronic short sleep duration and cardiovascular risk have been established, the biological mechanisms underlying the relationship between habitual long sleep (≥9 h) duration and cardiovascular risk, in the absence of other chronic diseases, are not well understood. This review will focus on summarizing the literature investigating the mechanisms underlying the association between habitual long sleep duration and cardiovascular risk. We will also propose the mechanistic pathways, distinct from the ones for short sleep, by which habitual long sleep can increase cardiovascular disease.

The primary aim of this study was to longitudinally examine potential demographic and screen time correlates of nap duration, nighttime sleep duration, and total sleep duration in young children over two time points.

Data from the supporting Healthy physical AcTive Childcare setting (HATCH) study were analyzed. Participants were 206 toddlers (19-35 months) and preschoolers (36-60 months) in Alberta and Ontario, Canada. Child age, screen time (television, video games), and sleep duration (nap, nighttime) were measured at baseline and six-month follow-up, while other demographic variables were assessed at baseline only using the HATCH parental questionnaire. Mixed models were performed to examine the associations between potential correlates and sleep duration over time.

In the multiple regression models, significant correlates of total sleep duration (min/d) were child age (months; B=-3.03; 95%CI-3.88,-2.19) and parental education (bachelor's degree vs. below bachelor level; B=29.74, 95%CI7.43,52.06). Sin. Targeting these demographic groups and screen time appears important for promoting adequate sleep duration in early childhood.Fusarium head blight (FHB) disease caused by Fusarium graminearum (Fg) seriously affects the yield and quality of wheat. In this study, after bacterial community analysis of two wheat rhizosphere soils, the genus Pseudomonas was shown to be enriched in normal dry farmland (maize-wheat rotation) compared to that observed nearby paddy farmland (rice-wheat rotation) with serious FHB disease. Subsequently, a P. aeruginosa strain, NF011 with the highest antagonistic activity against Fg and excellent tolerance to 8.0 % of NaCl was isolated from the wheat rhizosphere soil in the normal dry farmland. Dual culture assay results showed that NF011 is a broad-spectrum fungicide for controlling six wheat pathogenic fungi. The major antifungal compound produced by NF011 was identified as phenazine-1-carboxamide (PCN) by LC-MS and nuclear magnetic resonance. 1.0 × 108 CFU/mL of NF011 or 32 mg/L of PCN could completely inhibit Fg spore germination and resulted in the destruction of Fg hypha vacuoles. Mannitol, peanut meal, beef extract, metal ions (Mn2+, Ca2+, Fe2+, and Mg2+), and amino acids (Arg and Lys) could promote the production of PCN by NF011, moreover, the optimal pH and temperature was 6.0 and 20 °C. The PCN produced by NF011 under the optimized culture conditions reached 436.55 ± 11.06 mg/L, 4.90-fold higher than that observed under the basic culture conditions. Finally, infection experiment results showed that NF011 can effectively prevent Fg spores from infecting wheat spikes and wheat grains and suppress the production of deoxynivalenol (DON). Therefore, the salt-tolerant PCN-producing NF011 has the potential to control wheat fungal disease.Salmonella spp. can survive and replicate in macrophage cells to cause persistent infection, SpiC is a necessary T3SS effector, but its pathogenic mechanism is still not known completely. In our study, Salmonella Enteritidis spiC mutant (SEΔspiC) was found to have stronger swarming motility and intramacrophage hyperproliferation which was closely related to glucose metabolism. SEΔspiC wbaPTn5 mutant was screened out by transposon mutagenesis, which had weaker swarming motility and intramacrophage replication ability than SEΔspiC in the presence of glucose. Bioinformatics displayed that undecaprenyl-phosphate galactose phosphotransferase (Wbap), encoded by wbaP gene, was a key enzyme for glucose metabolism and Lipopolysaccharide(LPS) synthesis, which confirmed our outcome that Wbap was involved in intramacrophage replication ability by glucose use in addition to swarming motility based on SEΔspiC. This discovery will further promote the understanding of the interaction between wbaP gene and spiC gene and the intracellular Salmonella replication mechanism.