Guineensine is a novel inhibitor of endocannabinoid uptake showing cannabimimetic behavioral effects in BALB/c mice

High-content screening led to the identification of the N-isobutylamide guineensine from Piper nigrum as novel nanomolar inhibitor (EC50 = 290 nM) of cellular uptake of the endocannabinoid anandamide (AEA). Noteworthy, guineensine did not inhibit endocannabinoid degrading enzymes fatty acid amide hydrolase (FAAH) or monoacylglycerol lipase (MAGL) nor interact with cannabinoid receptors or fatty acid binding protein 5 (FABP5), a major cytoplasmic AEA carrier. Activity-based protein profiling showed no inhibition of serine hydrolases. Guineensine also inhibited the cellular uptake of 2-arachidonoylglycerol (2-AG). Preliminary structure–activity relationships between natural guineensine analogs indicate the importance of the alkyl chain length interconnecting the pharmacophoric isobutylamide and benzodioxol moieties for AEA cellular uptake inhibition. Guineensine dose-dependently induced cannabimimetic effects in BALB/c mice shown by strong catalepsy, hypothermia, reduced locomotion and analgesia. The catalepsy and analgesia were blocked by the CB1 receptor antagonist rimonabant (SR141716A). Guineensine is a novel plant natural product which specifically inhibits endocannabinoid uptake in different cell lines independent of FAAH. Its scaffold may be useful to identify yet unknown targets involved in endocannabinoid transport.

Selection and influence effects in defending a victim of bullying: The moderating effects of school context

In this paper we examined whether defenders of victims of school bullying befriended similar peers, and whether the similarity is due to selection or influence processes or both. We examined whether these processes result in different degrees of similarity between peers depending on teachers’ self-efficacy and the school climate. We analyzed longitudinal data of 478 Swiss school students employing actor-based stochastic models. Our analyses showed that similarity in defending behavior among friends was due to selection rather than influence. The extent to which adolescents selected peers showing similar defending behavior was related to contextual factors. In fact, lower self-efficacy of teachers and positive school climate were associated with increased selection effects in terms of defending behavior.

Aptitude–Treatment interaction effects in psychooncological interventions

Objective: To examine aptitude–treatment interaction (ATI) effects in cancer patients receiving psychoonco- logical interventions (POIs). Method: N=36 cancer patients were treated with POI. Hierarchical linear regression was used to test two interaction effects between patient baseline characteristics (aptitudes) and process analyses of therapy sessions (treatment) on change in mental health during POI. Results: Patients with high emotional distress did best when their therapy reduced arousal, and patients with lower emotional distress benefited most if therapists emphasized arousal induction. The interaction between the coping style of the patient (internalizing vs. externalizing) and the focus of the treatment (emotion vs. behavior) did not predict POI outcomes. Conclusions: The ATI effect of patient's distress and therapist's arousal induction/reduction may help therapists to make differential treatment decisions in POI. Tailoring treatments to cancer patients based on their personal characteristics may enhance the effectiveness of POI.

Predictive Margins and Marginal Effects in Stata

Tables of estimated regression coefficients, usually accompanied by additional information such as standard errors, t-statistics, p-values, confidence intervals or significance stars, have long been the preferred way of communicating results from statistical models. In recent years, however, the limits of this form of exposition have been increasingly recognized. For example, interpretation of regression tables can be very challenging in the presence of complications such as interaction effects, categorical variables, or nonlinear functional forms. Furthermore, while these issues might still be manageable in the case of linear regression, interpretational difficulties can be overwhelming in nonlinear models such as logistic regression. To facilitate sensible interpretation of such models it is often necessary to compute additional results such as marginal effects, predictive margins, or contrasts. Moreover, smart graphical displays of results can be very valuable in making complex relations accessible. A number of helpful commands geared at supporting these tasks have been recently introduced in Stata, making elaborate interpretation and communication of regression results possible without much extra effort. Examples of such commands are -margins-, -contrasts-, and -marginsplot-. In my talk, I will discuss the capabilities of these commands and present a range of examples illustrating their use.

Survey estimation and marginal effects in Stata

Stata is a general purpose software package that has become popular among various disciplines such as epidemiology, economics, or social sciences. Users like Stata for its scientific approach, its robustness and reliability, and the ease with which its functionality can be extended by user written programs. In this talk I will first give a brief overview of the functionality of Stata and then discuss two specific features: survey estimation and predictive margins/marginal effects. Most surveys are based on complex samples that contain multiple sampling stages, are stratified or clustered, and feature unequal selection probabilities. Standard estimators can produce misleading results in such samples unless the peculiarities of the sampling plan are taken into account. Stata offers survey statistics for complex samples for a wide variety of estimators and supports several variance estimation procedures such as linearization, jackknife, and balanced repeated replication (see Kreuter and Valliant, 2007, Stata Journal 7: 1-21). In the talk I will illustrate these features using applied examples and I will also show how user written commands can be adapted to support complex samples. Complex can also be the models we fit to our data, making it difficult to interpret them, especially in case of nonlinear or non-additive models (Mood, 2010, European Sociological Review 26: 67-82). Stata provides a number of highly useful commands to make results of such models accessible by computing and displaying predictive margins and marginal effects. In my talk I will discuss these commands provide various examples demonstrating their use.

Isospin Breaking Effects in Kℓ4 Decays

In the framework of chiral perturbation theory with photons and leptons, the one-loop isospin-breaking effects in Kℓ4 decays due to both the photonic contribution and the quark and meson mass differences are computed. A comparison with the isospin-breaking corrections applied by recent high statistics Ke4 experiments is performed. The calculation can be used to correct the existing form factor measurements by isospin-breaking effects that have not yet been taken into account in the experimental analysis. Based on the present work, possible forthcoming experiments on Ke4 decays could correct the isospin breaking effects in a more consistent way.

Mood and Memory: Mood congruity effects in absence of mood

Themood-congruity effect refers to facilitated processing of information when the affective valence of this information is congruent with the subject’s mood. In this paper we argue that mood may be a sufficient but not a necessary condition to produce the mood-congruity effect of selective learning. Two experiments are presented in which subjects learned lists of words with neutral, positive, and negative affective valences. In the learning task the subjects were instructed to behave as if they were depressed or happy. The mood-congruity effect was indeed obtained. The effect was stronger with subjects who “predicted” the relationship between mood and affective word valence than with subjects who were unaware of this relationship. The results are not simply attributed to task demands, but are interpreted in terms of a model of cognitive processes and people’s knowledge about mood states.

Evidence of species-specific neighborhood effects in the dipterocarpaceae of a Bornean rain forest

Although accumulating evidence indicates that local intraspecific density-dependent effects are not as rare in species-rich communities as previously suspected, there are still very few detailed and systematic neighborhood analyses of species-rich communities. Here, we provide such an analysis with the overall goal of quantifying the relative importance of inter- and intraspecific interaction strength in a primary, lowland dipterocarp forest located at Danum, Sabah, Malaysia. Using data on 10 abundant overstory dipterocarp species from two 4-ha permanent plots, we evaluated the effects of neighbors on the absolute growth rate of focal trees (from 1986 to 1996) over increasing neighborhood radii (from 1 to 20 m) with multiple regressions. Only trees 10 cm to < 100 cm girth at breast height in 1986 were considered as focal trees. Among neighborhood models with one neighbor term, models including only conspecific larger trees performed best in five out of 10 species. Negative effects of conspecific larger neighbors were most apparent in large overstory species such as those of the genus Shorea. However, neighborhood models with separate terms and radii for heterospecific and conspecific neighbors accounted for more variability in absolute growth rates than did neighborhood models with one neighbor term. The conspecific term was significant for nine out of 10 species. Moreover, in five out of 10 species, trees without conspecific neighbors had significantly higher absolute growth rates than trees with conspecific neighbors. Averaged over the 10 species, trees without conspecific neighbors grew 32.4 cm(2) in basal area from 1986 to 1996, whereas trees with conspecific neighbors only grew 14.7 cm(2) in basal area, although there was no difference in initial basal area between trees in the two groups. Averaged across the six species of the genus Shorea, negative effects of conspecific larger trees were significantly stronger than for heterospecific larger neighbors. Thus, high local densities within neighborhoods of 20 m may lead to strong intraspecific negative and, hence, density-dependent, effects even in species rich communities with low overall densities at larger spatial scales. We conjecture that the strength of conspecific effects may be correlated with the degree of host specificity of ectomycorrhizae.

Relaxing hydrotherapy WATSU (WaterShiatsu) and its effects in third trimester of pregnancy

Background WATSU (WaterShiatsu) is a bodywork-technique comprising buoyancy, passive stretches, massage, and acupressure that is administered in 35° C warm water. WATSU is believed to exert beneficial effects on pregnancy-related complaints. We conducted a pilot study to test the hypothesis that WATSU treatment during pregnancy can affect low back pain, everyday stress perception, quality of life, tonus of the uterus, amount of amniotic fluid, spontaneous course of breech presentations, and the success rate of external cephalic versions. Methods Healthy women with singleton pregnancies at gestational week 36 were included in our cohort control pilot trial. Participants in the treatment group (n = 8) received a standardized WATSU-treatment on their first and fourth day of study participation, while participants in the control group were in a waiting condition. Participants underwent ultrasound investigations and completed quantitative and qualitative questionnaires before and after intervention, as well as weekly until birth. Results In contrast to the control group, participants in the WATSU-treatment group reported significant relief of low back pain and stress. After WATSU treatment spontaneous version out of breech position occurred once in seven cases, and external cephalic version was successful in two out of three cases. As qualitative data indicate, WATSU was appreciated as a deep relaxing and enjoyable treatment method. No negative side-effects or adverse events were reported. Conclusion The findings from our pilot-study support the notion that WATSU might yield therapeutic benefits for pregnant women and warrant further research.

Parasite- and predator-induced maternal effects in the great tit (Parus major)

Both predators and parasites can elicit behavioral and physiological responses in prey and hosts, respectively. These responses may involve the reallocation of resources and may thus limit each other. We investigated the effects of concurrent pre-laying exposure of great tit females (Parus major) to both a simulated predation risk and a nest-based ectoparasite, the hen flea (Ceratophyllus gallinae), on nestling growth and development. We manipulated perceived predation risk using models and vocalizations of sparrowhawks (Accipiter nisus). At the start of incubation, we swapped whole clutches between treated and untreated nests to separate pre-laying maternal effects from posthatching effects. Since costs and benefits of maternal responses to parasites need to be assessed under parasite pressure, we infested half of the rearing nests with hen fleas. Parasites had negative effects on mass gain and wing growth, both via maternal effects and via direct exposure of nestlings, whereas maternal predation risk had no significant effect. The interaction between predator and parasite treatments was not significant and, thus, suggests the absence of a trade-off between the 2 stressors operating at the level of maternal effects. Alternatively, the complexity of the design, despite a relatively large sample size, may have limited the power for detection of this expected trade-off.