High-density lipoprotein cholesterol and vascular stiffness at baseline in the activity counseling trial

In a middle-aged patient population, age was associated with stiffer vessels and high-density lipoprotein cholesterol with more elastic vessels. High-density lipoprotein cholesterol may be an indirect indicator of aerobic capacity or of less atherosclerosis, suggesting mechanisms for preserving vascular integrity.     

The snake venom toxin alboaggregin-A activates glycoprotein VI

The glycoprotein (GP)-Ib-IX-V receptor complex has recently been reported to signal through a pathway similar to that used by the collagen receptor GPVI, with a critical role described for the Fc receptor gamma-chain. The evidence for this was based in part on studies with the GPIbalpha-selective snake venom toxin, alboaggregin-A. In the present study, it is reported that alboaggregin-A has activity at the collagen receptor GPVI in addition to GPIbalpha, and evidence is provided that this contributes to protein tyrosine phosphorylation, shape change, and GPIIb-IIIa-dependent aggregation. This may explain why responses to alboaggregin-A are distinct from those to von Willebrand factor-ristocetin. (Blood. 2001;97:3989-3991)     

Direct and indirect effects of sublethal toxicant exposure on population dynamics of freshwater rotifers: a modeling approach

Ecotoxicological assessments commonly consider the direct effects of anthropogenic toxicants on the survival, growth, and reproduction of organisms. However, toxicants also may have indirect effects on aquatic communities by altering species interactions such as predation and competition. Such indirect effects are often mediated by changes in animal behavior, and contribute to uncertainty in predicting the environmental effects of toxicants. In an attempt to better understand indirect effects, a modeling approach was used to simulate the population dynamics of the predatory rotifer Asplanchna girodi and six prey species of herbivorous rotifers in response to sublethal concentrations (110, 190 or 330 mg/l) of pentachlorophenol (PCP). Simulations were performed assuming three different toxicant effect scenarios: behavioral toxicity alone, reproductive toxicity alone, or both behavioral and reproductive toxicity. Population growth rates (G(r)), maximum population densities (D(max)), and the percent of carrying capacity at D(max) (%K) were calculated for A. girodi and each prey species for each effect scenario and toxicant concentration. Similar qualitative results were obtained regardless of which prey species was exploited by A. girodi. Toxicant effects on predator and prey population densities appeared to be the dominant cause of both direct and indirect toxicant effects, and behavioral toxicity was a redundant endpoint relative to reproductive toxicity. These results suggest that assessing toxicant effects on the population growth of individual species may provide sufficient data to predict toxicant effects on species interactions as well.     

Interaction between hamartin and tuberin, the TSC1 and TSC2 gene products

Tuberous sclerosis (TSC) is an autosomal dominant disorder caused by a mutation in either the TSC1 or TSC2 tumour suppressor gene. The disease is characterized by a broad phenotypic spectrum that can include seizures, mental retardation, renal dysfunction and dermatological abnormalities. TSC2 encodes tuberin, a putative GTPase activating protein for rap1 and rab5. The TSC1 gene was recently identified and codes for hamartin, a novel protein with no significant homology to tuberin or any other known vertebrate protein. Here, we show that hamartin and tuberin associate physically in vivo and that the interaction is mediated by predicted coiled-coil domains. Our data suggest that hamartin and tuberin function in the same complex rather than in separate pathways.      

Inhibition by phencyclidine of excitatory amino acid-stimulated release of neurotransmitter in the nucleus accumbens

The effects of phencyclidine (PCP) on the release of acetylcholine and dopamine, stimulated by excitatory amino acid agonists was examined in slices of nucleus accumbens of the rat. In slices incubated in [3H]choline or [3H]dopamine, the amount of tritium efflux produced by 1 mM N-methyl-D-aspartate (NMDA), kainic acid (KA) or quisqualic acid (QA) was compared with that produced in the presence of varying concentrations of phencyclidine. N-Methyl-D-aspartate stimulated the calcium-dependent release of both ACh and DA, which was completely inhibited by physiological concentrations of magnesium and inhibited by 2-aminophosphonovalerate (2-APV). Kainic acid- and quisqualic acid-stimulated release of ACh and DA was partially inhibited by magnesium or by 2-APV. Phencyclidine inhibited NMDA-stimulated release of ACh and DA with IC50's around 100 nM. Phencyclidine (0.1 microM) also significantly inhibited kainic acid and quisqualic acid-induced release of ACh in magnesium-free but not magnesium-containing buffer, suggesting that the effect of PCP on kainic acid- and possibly quisqualic acid-stimulated release of ACh is on that part of the response which is mediated by NMDA receptors. The results suggest that the inhibition by PCP of the release of ACh and DA in the nucleus accumbens is selective for NMDA-type receptors.     

Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches

Clinical prediction models (CPMs) can predict clinically relevant outcomes or events. Typically, prognostic CPMs are derived to predict the risk of a single future outcome. However, there are many medical applications where two or more outcomes are of interest, meaning this should be more widely reflected in CPMs so they can accurately estimate the joint risk of multiple outcomes simultaneously. A potentially naïve approach to multi‐outcome risk prediction is to derive a CPM for each outcome separately, then multiply the predicted risks. This approach is only valid if the outcomes are conditionally independent given the covariates, and it fails to exploit the potential relationships between the outcomes. This paper outlines several approaches that could be used to develop CPMs for multiple binary outcomes. We consider four methods, ranging in complexity and conditional independence assumptions: namely, probabilistic classifier chain, multinomial logistic regression, multivariate logistic regression, and a Bayesian probit model. These are compared with methods that rely on conditional independence: separate univariate CPMs and stacked regression. Employing a simulation study and real‐world example, we illustrate that CPMs for joint risk prediction of multiple outcomes should only be derived using methods that model the residual correlation between outcomes. In such a situation, our results suggest that probabilistic classification chains, multinomial logistic regression or the Bayesian probit model are all appropriate choices. We call into question the development of CPMs for each outcome in isolation when multiple correlated or structurally related outcomes are of interest and recommend more multivariate approaches to risk prediction.