10/12/2024


ations.
Despite the social nature of most drinking experiences, prior work has largely failed to incorporate social context into the study of alcohol's effects on emotion. The present study provides an initial test of the effect of alcohol on mood among platonic friends drinking together in a non-stress setting. We hypothesized that subjects would report more positive postdrink mood after consuming alcohol than after consuming a nonalcoholic control beverage.

Dyads of platonic male friends (n=36; 55.55% White, 38.88% Asian, 5.55% Black) attended two laboratory-based experimental sessions, wherein their drink conditions (alcohol vs. no alcohol control) were randomized by dyad and counter-balanced across sessions. They reported their mood before and after consuming their beverages together, using the Positive and Negative Affect Schedule and an 8-item mood measure.

As hypothesized, alcohol enhanced positive mood (


β

=0.26, p<0.01). Although in the expected direction, the effect of alcohol on negative mood was not significant (


β

=-0.12, p=0.17). Post hoc analyses revealed that alcohol yielded greater increases in both stimulation (



β



=



0.26


, p=0.00) and sedation (



β


=


0.40


, p=0.00) as compared to the control condition.

This study highlights the positive mood-enhancing and broader subjective effects of alcohol when drinking with a platonic friend and encourages further consideration of friendship contexts in the examination of alcohol's effects when developing models of the etiology of alcohol use disorder.
This study highlights the positive mood-enhancing and broader subjective effects of alcohol when drinking with a platonic friend and encourages further consideration of friendship contexts in the examination of alcohol's effects when developing models of the etiology of alcohol use disorder.The genetic basis and evolution of sex determination in dioecious plants is emerging as an active area of research with exciting advances in genome sequencing and analysis technologies. As the sole species within the sister lineage to all other extant flowering plants, Amborella trichopoda is an important model for understanding the evolution and development of flowers. Plants typically produce only male or female flowers, but sex determination mechanisms are unknown for the species. Sequence data derived from plants of natural origin and an F1 mapping population were used to identify sex-linked genes and the nonrecombining region. https://www.selleckchem.com/products/Adrucil(Fluorouracil).html Amborella trichopoda has a ZW sex determination system. Analysis of genes in a 4 Mb nonrecombining sex-determination region reveals recent divergence of Z and W gametologs, and few Z- and W-specific genes. The sex chromosomes of A. trichopoda evolved less than 16.5 Myr ago, long after the divergence of the extant angiosperms.
The quality of a measured distribution of dose delivered against its corresponding radiotherapy plan is routinely assessed by gamma index (GI) and dose-volume histogram (DVH) metrics. Any correlation between error detection rates, as based on either of these approaches, while argued, has never been convincingly demonstrated. The dependence of the strength of correlation between the GI passing rate (



γ


P


) and DVH quality assurance (QA) metrics on various elements of the therapy plan has not been systematically investigated.

A formal analysis of the relation between



γ


P


and DVH metrics has been undertaken, leading to a relationship which may partly approximate



γ


P


with respect to the DVH. This relationship was further validated by studying examples of simulated clinical radiotherapy plans and by studying the correlation between



γ


P


and the derived relationship tudy (the "


γ

-slope indicator") may in some cases offer a degree of correlation between



γ


P


and the PTV and OAR DVH QA metrics in measured and planned patient-specific dose distributions-which may be potentially useful in clinical practice.
In formal terms, there cannot be any correlation between γ P and any common DVH-calculated patient-specific measures, with respect to PTV or OAR. However, as demonstrated analytically and further confirmed in our simulation studies, the γ P approximation derived in this study (the " γ -slope indicator") may in some cases offer a degree of correlation between γ P and the PTV and OAR DVH QA metrics in measured and planned patient-specific dose distributions-which may be potentially useful in clinical practice.
Because there is high variability among European countries in prevalence levels of various alcohol consumption measures, the informational value of adolescent's alcohol consumption indicators is uncertain. The present study aimed to examine information capacity and measurement invariance of different alcohol consumption indicators in adolescents from countries of the former Soviet (Eastern) Bloc in Central and Eastern Europe (CEE).

Data were collected in 16 CEE countries, as part of the 2013/2014 wave of the Health Behavior in School-aged Children study. Data from adolescents (age 15) who reported having consumed alcohol at least once in their lifetime were analyzed. Four binary items selected for analysis measured the presence or absence of alcohol consumption in the last 30days, lifetime drunkenness, weekly drinking frequency, and binge drinking on a typical occasion. Multiple group confirmatory factor analysis and item response theory analysis were used to examine the data.

In most of the included co at the lower and higher ends of the continuum of alcohol use severity.
The current study examined associations between Minnesota Multiphasic Personality Inventory-3 (MMPI-3) scales and self-reported DSM-5 Section II personality disorder (PD) symptoms. A priori hypotheses were generated for which MMPI-3 scales would be most highly associated with each PD.

We used a large sample (n = 489) of university students, who completed the MMPI-3 and two established self-report measures of personality disorders.

The results were generally consistent with theoretical expectations and previous research utilizing the MMPI-2-RF. Specifically, most hypothesized MMPI-3 scales exhibited meaningful associations with relevant PD variables, although there were some notable exceptions. The regression models revealed significant predictors for each PD which were generally consistent with expectations and previous research.

Overall, the MMPI-3 appears well situated to cover a range of DSM-5 Section II PD-related psychopathology, and three of the new MMPI-3 scales appear to have added utility for assessing personality pathology.
Overall, the MMPI-3 appears well situated to cover a range of DSM-5 Section II PD-related psychopathology, and three of the new MMPI-3 scales appear to have added utility for assessing personality pathology.It is widely acknowledged that drug-drug interactions (DDIs) involving estrogen (17α-ethinylestradiol (EE))-containing oral contraceptives (OCs) are important. Consequently, sponsors of new molecular entities (NMEs) often conduct clinical studies with priority given to OCs as victims of cytochrome P450 (CYP) 3A (CYP3A) induction and inhibition. Such scenarios are reflected in the US Food and Drug Administration-issued guidance documentation related to OC DDI studies. Although CYP3A is important, OCs such as EE are metabolized by sulfotransferase 1E1 and UDP-glucuronosyltransferase (UGT) 1A1, expressed in the gut and liver, and so both can also serve as loci of victim OC DDI. Therefore, for any NME, one should carefully consider its induction and inhibition profile involving CYP3A4/5, UGT1A1, and SULT1E1. As DDI perpetrators, available clinical DDI data indicate that EE-containing OCs can induce (e.g., UGT1A4 and CYP2A6) and inhibit (CYP1A2 ≥ CYP2C19 > CYP3A4/5 > CYP2C8, CYP2B6, CYP2D6, and CYP2C9) various CYP forms. Although available in vitro CYP inhibition data do not explain such a graded inhibitory effect in vivo, it is hypothesized that EE differentially modulates CYP expression via potent agonism of the estrogen receptor expressed in the gut and liver. From the standpoint of the NME as potential OC DDI victim, therefore, it is important to assess its projected (pre-phase I) or known therapeutic index and pharmacokinetic profile (fraction absorbed, absolute oral bioavailability, clearance/extraction class, fraction metabolized by CYP1A2, CYP2C19, CYP2A6, and UGT1A4). Such information can enable the prioritization, design, and interpretation of NME-OC DDI studies.
The degree to which binge and high-intensity drinking prevalence estimates vary from fixed threshold frequency and continuous maximum drinks measures is unknown. The current study compared prevalence estimates for adolescent binge and high-intensity drinking (5+ drinks, 10+ drinks, respectively) and sex-specific thresholds using fixed threshold frequency and continuous maximum drinks measures.

Data were obtained from 7911 respondents participating in the 2018 and 2019 nationally representative Monitoring the Future 12th-grade surveys. Comparisons of frequency prevalence (e.g., any occasions of 5+ drinking using the frequency measure) versus maximum drinks prevalence (e.g., reporting 5 or more drinks using the maximum number of drinks measure) were made using all respondents and then separately within males and females.

Among the sample overall and within sex, binge drinking estimates from the 5+ frequency prevalence and 5+ maximum drinks prevalence measures evidenced overlapping confidence intervals (esBoth the frequency and maximum drinks measures provided comparable estimates of binge and high-intensity drinking prevalence among older adolescents.
In this nationally representative sample of 12th-grade students, prevalence levels for 5+ and 10+ drinking did not differ significantly when using frequency versus maximum drinks measures. Among females, binge drinking prevalence was higher using sex-specific versus universal thresholds. Both the frequency and maximum drinks measures provided comparable estimates of binge and high-intensity drinking prevalence among older adolescents.Neurodevelopmental neuropsychiatric disorders, such as autism spectrum disorder and schizophrenia, have strong genetic risk components, but the underlying mechanisms have proven difficult to decipher. Rare, high-risk variants may offer an opportunity to delineate the biological mechanisms responsible more clearly for more common idiopathic diseases. Indeed, different rare variants can cause the same behavioral phenotype, demonstrating genetic heterogeneity, while the same rare variant can cause different behavioral phenotypes, demonstrating variable expressivity. These observations suggest convergent underlying biological and neurological mechanisms; identification of these mechanisms may ultimately reveal new therapeutic targets. At the 2021 Keystone eSymposium "Neuropsychiatric and Neurodevelopmental Disorders Harnessing Rare Variants" a panel of experts in the field described significant progress in genomic discovery and human phenotyping and raised several consistent issues, including the need for detailed natural history studies of rare disorders, the challenges in cohort recruitment, and the importance of viewing phenotypes as quantitative traits that are impacted by rare variants.