Genetic and phenotypic architecture of metabolic syndrome-associated components in dyslipidemic and normolipidemic subjects: the GEMS Study.

Atherogenic dyslipidemia, manifest by low HDL-cholesterol and high TG levels, is an important component of ATP-III defined metabolic syndrome. Here, we dissected the phenotypic and genetic architecture of these traits by assessing their relationships with other metabolically relevant measures, including plasma adipo-cytokines, highly sensitive C-reactive protein (hsCRP) and LDL particle size, in a large family data set (n=2800) and in an independent set of dyslipidemic cases (n=716) and normolipidemic controls (n=1073). We explored the relationships among these phenotypes using variable clustering and then estimated their genetic heritabilities and cross-trait correlations. In families, four clusters explained 61% of the total variance, with one adiposity-related cluster (including hsCRP), one BP-related cluster, and two lipid-related clusters (HDL-C, TG, adiponectin and LDL particle size; apoB and non-HDL-C). A similar structure was observed in dyslipidemic cases and normolipidemic controls. The genetic correlations in the families largely paralleled the phenotype clustering results, suggesting that common genes having pleiotropic effects contributed to the correlations observed. In summary, our analyses support a model of metabolic syndrome with two major components, body fat and lipids, each with two subcomponents, and quantifies their degree of overlap with each other and with metabolic-syndrome related measures (adipokines, LDL particle size and hsCRP).

Tensile strength characteristics of polypropylene composites reinforced with stone groundwood fibers from softwood

The behavior of stone groundwood / polypropylene injection-molded composites was evaluated with and without coupling agent. Stone groundwood (SGW) is a fibrous material commonly prepared in a high yield process and mainly used for papermaking applications. In this work, the use of SGW fibers was explored as a reinforcing element of polypropylene (PP) composites. The surface charge density of the composite components was evaluated, as well as the fiber’s length and diameter inside the composite material. Two mixing extrusion processes were evaluated, and the use of a kinetic mixer, instead of an internal mixer, resulted in longer mean fiber lengths of the reinforcing fibers. On the other hand, the accessibility of surface hydroxyl groups of stone groundwood fibers was improved by treating the fibers with 5% of sodium hydroxide, resulting in a noticeable increase of the tensile strength of the composites, for a similar percentage of coupling agent. A new parameter called Fiber Tensile Strength Factor is defined and used as a baseline for the comparison of the properties of the different composite materials. Finally the competitiveness of stone groundwood / polypropylene / polypropylene-co-maleic anhydride system, which compared favorably to sized glass-fiber / polypropylene GF/PP and glass-fiber / polypropylene / polypropylene-co-maleic anhydride composite formulations, was quantified by means of the fiber tensile strength factor

Inactivation des pathogènes des produits sanguins labiles: entre enjeux financiers et conséquences possibles à long terme [Pathogen reduction of blood components: from financial issues to possible long-term consequences].

Pathogen inactivation of blood products represents a global and major paradigm shift in transfusion medicine. In the next near future, it is likely that most blood products will be inactivated by various physicochemical approaches. The concept of blood safety will be challenged as well as transfusion medicine practice, notably for donor selection or biological qualification. In this context, it seems mandatory to develop analytical economic approaches by assessing costs-benefits ratio of blood transfusion as well as to set up cohorts of patients based on hemovigilance networks allowing rigorous scientific analysis of the benefits and the risks of blood transfusion at short- and long-term.

Distinct neuronal circuits underlying the bahavioral and physiological components of the fear response

Abstract : Expression of fear involves changes in a number of behavioral and physiological parameters that are triggered by the central amygdala (CeA). The fear circuit also includes a series of brain stem nuclei that are the final effectors of the changes induced by the fear reaction. The CeA expresses many different neuropeptide receptors that can modulate fear responses. Today, the precise organization and the modulation of projections from the amygdala to the brain stem are still poorly understood. The aim of this project was to better understand the organization and the modulation of the fear circuit. To investigate this we first determined whether the CeA is composed of separate neuronal populations, where each one projects to specific brain stem nuclei, or whether single CeA neurons project to several nuclei. For this purpose, we first selected two brain stem nuclei implicated in the modulation of different components of the fear reactions, the periaqueductal gray (implicated in freezing) and the nucleus of solitary tract (implicated in heart rate modulation). We then performed double injections of two different retrograde tracers in these two nuclei and we quantified the subsequent presence of co-labelling in the CeA. We found that neurons projecting to the PAG and to the NTS are organized in separate populations. Subsequent electrophysiological recordings of the two populations revealed that PAG and NTS projecting neurons also have different electrophysiological characteristics. We then verified in vitro whether the neurons projecting to different brain stem nuclei express specific combinations of neuropeptide receptors, and whether a neuropeptide acting pre-synaptically (oxytocin) specifically modulates one of these two projections. We did not find differences at the level of expression of neurópeptide receptors, but we observed that oxytocin, a neuropeptide with anxiolytic properties, modulates PAG projecting neurons without affecting NTS projecting neurons. As oxytocin appeared to specifically modulate projections to the PAG, involved in the modulation of the freezing reaction, but did not affect the projections to the NTS, implicated in the modulation of cardiovascular parameters, we verified how this modulation translates in living animals. We investigated the effects of infra-amygdala injection of oxytocin on cardiovascular and behavioral changes induced by contextual fear conditioning. We found that oxytocin decreased the freezing response without affecting the cardiovascular system. Finally, as neuropeptides are considered potential future anxiolytics, we investigated whether diazepam and oxytocin, acting on the same circuit, had additive effects. This question was addressed exclusively with an in vitro electrophysiological approach. We obtained that oxytocin and diazepam, when co-applied, had an additive effect on both synaptic transmission and neuronal activity. These results open new perspectives for the possible clinical applications of oxytocin. Résumé : L'expression de la peur est accompagnée par de nombreux changements physiologiques et comportementaux qui sont déclenchés par l'amygdale centrale (CeA). Le circuit inclue aussi une série de noyaux du tronc cérébrale qui sont les effecteurs des différentes composantes de la réaction de peur. On sait que CeA envoie des projections aux noyaux du tronc cérébral et que ces neurones expriment une grande variété de récepteurs aux neuropeptides. Par contre, l'organisation des projections, ainsi que la modulation de ces projections par les neuropeptides reste encore peu connue. Avec ce projet, on premièrement voulu déterminer si CeA est composée de populations neuronales séparées qui projettent vers un noyau spécifique, ou bien si chaque neurones envoie des projections vers plusieurs noyaux. A ce propos, on a effectué des doubles injections de deux traceurs rétrogrades différentes dans deux noyaux du tronc cérébral impliqués dans des différentes composantes des réactions de peur. On a injecté la substance grise périaqueducale (PAG), qui est impliquée dans la réponse d'immobilisation, ainsi que le noyau du tractus solitaire (NTS) qui est responsable des changements cardiovasculaires. On a ensuite quantifié la présence de neurones contenant les deux traceurs dans CeA. On a trouvé que la plupart des neurones de l'amygdale centrale projettent vers un noyau spécifique, et on peut donc dire que l'amygdale semble être composée de populations neuronales séparées. On a ensuite mesuré les caractéristiques électrophysiologiques de ces deux projections et on a trouvé des différences substantielles concernant la résistance membranaire, la capacitance, le potentiel membranaire de repos ainsi que la fréquence des potentiels d'action spontanés. Puis, comme beaucoup de neuropéptides dans l'amygdale exercent un effet modulatoire sûr les réactions de peur et sur l'anxiété, on a étudié les effets directs et indirects d'une série de neuropeptides sur les différentes projections pour évaluer s'il y a des neuropeptides qui agissent spécifiquement sur une. On n'a pas trouvé de différences entre neurones qui projettent vers le PAG et neurones qui projettent vers le NTS concernant les effets de neuropeptides qui agissent directement sur ces cellules. Par contre, on a trouvé que l'ocytocine, un neuropeptide qui se lie à des récepteurs dans la partie latérale de l'amygdale centrale et inhibe de façon indirecte les neurones de l'amygdala centrale médiale, module les projections vers le PAG sans affecter celles qui vont vers le NTS. Comme le PAG est impliqué dans la réponse d'immobilisation, alors que le NTS est impliqué dans la modulation cardiovasculaire, on a ensuite étudié les effets de l'ocytocine injectée dans l'amygdale de rat vivants sur les réactions de peur conditionnées. On a trouvé que l'ocytocine diminue la réponse d'immobilisation sans par contre affecter la réponse cardiovasculaire. Pour terminer, on a vérifié si l'ocytocine potentialise les effets d'un médicament anxiolytique, le diazeparn. Avec une étude in vitro on a trouvé qu'une co-application d'ocytocine et diazeparn résulte en un effet additionnel à la fois sur la transmission synaptique ainsi que sur l'activité neuronale des neurones de l'amygdale centrale médiale. Ces résultats ouvrent des nouvelles perspectives pour une potentielle utilisation clinique de l'ocytocine.

A chemical Hamiltonian approach study of the basis set superposition error changes on electron densities and one- and two-center energy components

A comparision of the local effects of the basis set superposition error (BSSE) on the electron densities and energy components of three representative H-bonded complexes was carried out. The electron densities were obtained with Hartee-Fock and density functional theory versions of the chemical Hamiltonian approach (CHA) methodology. It was shown that the effects of the BSSE were common for all complexes studied. The electron density difference maps and the chemical energy component analysis (CECA) analysis confirmed that the local effects of the BSSE were different when diffuse functions were present in the calculations

Density functional energy decomposition into one- and two-atom contributions

The present work provides a generalization of Mayer's energy decomposition for the density-functional theory (DFT) case. It is shown that one- and two-atom Hartree-Fock energy components in Mayer's approach can be represented as an action of a one-atom potential VA on a one-atom density ρ A or ρ B. To treat the exchange-correlation term in the DFT energy expression in a similar way, the exchange-correlation energy density per electron is expanded into a linear combination of basis functions. Calculations carried out for a number of density functionals demonstrate that the DFT and Hartree-Fock two-atom energies agree to a reasonable extent with each other. The two-atom energies for strong covalent bonds are within the range of typical bond dissociation energies and are therefore a convenient computational tool for assessment of individual bond strength in polyatomic molecules. For nonspecific nonbonding interactions, the two-atom energies are low. They can be either repulsive or slightly attractive, but the DFT results more frequently yield small attractive values compared to the Hartree-Fock case. The hydrogen bond in the water dimer is calculated to be between the strong covalent and nonbonding interactions on the energy scale

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest.

Functional connectivity (FC) as measured by correlation between fMRI BOLD time courses of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in the resting brain. However, an increasing amount of evidence points to non-stationarity of FC; i.e., FC dynamically changes over time reflecting additional and rich information about brain organization, but representing new challenges for analysis and interpretation. Here, we propose a data-driven approach based on principal component analysis (PCA) to reveal hidden patterns of coherent FC dynamics across multiple subjects. We demonstrate the feasibility and relevance of this new approach by examining the differences in dynamic FC between 13 healthy control subjects and 15 minimally disabled relapse-remitting multiple sclerosis patients. We estimated whole-brain dynamic FC of regionally-averaged BOLD activity using sliding time windows. We then used PCA to identify FC patterns, termed "eigenconnectivities", that reflect meaningful patterns in FC fluctuations. We then assessed the contributions of these patterns to the dynamic FC at any given time point and identified a network of connections centered on the default-mode network with altered contribution in patients. Our results complement traditional stationary analyses, and reveal novel insights into brain connectivity dynamics and their modulation in a neurodegenerative disease.

Passive modernization? the new human development index and its components in Italy’s regions (1871-2007)

The article presents and discusses estimates of social and economic indicators for Italy’s regions in benchmark years roughly from Unification to the present day: life expectancy, education, GDP per capita at purchasing power parity, and the new Human Development Index (HDI). A broad interpretative hypothesis, based on the distinction between passive and active modernization, is proposed to account for the evolution of regional imbalances over the long-run. In the lack of active modernization, Southern Italy converged thanks to passive modernization, i.e., State intervention: however, this was more effective in life expectancy, less successful in education, expensive and as a whole ineffective in GDP. As a consequence, convergence in the HDI occurred from the late XIX century to the 1970s, but came to a sudden halt in the last decades of the XX century.

Swain: Stata module to correct the SEM chi-square overidentification test in small sample sizes or complex models. Statistical Software Components S457617, Boston College Department of Economics.

Swain corrects the chi-square overidentification test (i.e., likelihood ratio test of fit) for structural equation models whethr with or without latent variables. The chi-square statistic is asymptotically correct; however, it does not behave as expected in small samples and/or when the model is complex (cf. Herzog, Boomsma, & Reinecke, 2007). Thus, particularly in situations where the ratio of sample size (n) to the number of parameters estimated (p) is relatively small (i.e., the p to n ratio is large), the chi-square test will tend to overreject correctly specified models. To obtain a closer approximation to the distribution of the chi-square statistic, Swain (1975) developed a correction; this scaling factor, which converges to 1 asymptotically, is multiplied with the chi-square statistic. The correction better approximates the chi-square distribution resulting in more appropriate Type 1 reject error rates (see Herzog & Boomsma, 2009; Herzog, et al., 2007).

Testing I(1) against I(d) alternatives in the presence of deteministic components

This paper discusses the role of deterministic components in the DGP and in the auxiliary regression model which underlies the implementation of the Fractional Dickey-Fuller (FDF) test for I(1) against I(d) processes with d ∈ [0, 1). This is an important test in many economic applications because I(d) processess with d & 1 are mean-reverting although, when 0.5 ≤ d & 1,, like I(1) processes, they are nonstationary. We show how simple is the implementation of the FDF in these situations, and argue that it has better properties than LM tests. A simple testing strategy entailing only asymptotically normally distributed tests is also proposed. Finally, an empirical application is provided where the FDF test allowing for deterministic components is used to test for long-memory in the per capita GDP of several OECD countries, an issue that has important consequences to discriminate between growth theories, and on which there is some controversy.

Age-specific fitness components and their temporal variation in the barn owl.

Theory predicts that temporal variability plays an important role in the evolution of life histories, but empirical studies evaluating this prediction are rare. In constant environments, fitness can be measured by the population growth rate lambda, and the sensitivity of lambda to changes in fitness components estimates selection on these traits. In variable environments, fitness is measured by the stochastic growth rate lambda(S), and stochastic sensitivities estimate selection pressure. Here we examine age-specific schedules for reproduction and survival in a barn owl population (Tyto alba). We estimated how temporal variability affected fitness and selection, accounting for sampling variance. Despite large sample sizes of old individuals, we found no strong evidence for senescence. The most variable fitness components were associated with reproduction. Survival was less variable. Stochastic simulations showed that the observed variation decreased fitness by about 30%, but the sensitivities of lambda and lambda(S) to changes in all fitness components were almost equal, suggesting that temporal variation had negligible effects on selection. We obtained these results despite high observed variability in the fitness components and relatively short generation time of the study organism, a situation in which temporal variability should be particularly important for natural selection and early senescence is expected.

Neue Erkenntnisse zur Pathophysiologie und Therapie der Gicht [New knowledge on the pathophysiology and therapy of gout]

Gout is caused by the deposition of monosodium urate crystals (MSU) in tissue and provokes a local inflammatory reaction. It is the most common form of inflammatory arthritis in the elderly. The formation of MSU crystals is facilitated by hyperuricemia. In the last two decades, both hyperuricemia and gout have increased markedly and similar trends in the epidemiology of the metabolic syndrome have been observed. Recent studies provide new insights into uric acid metabolism in the kidneys as well as possible links between hyperuricemia and hypertension. MSU crystals provoke inflammation by activating leukocytes to produce inflammatory cytokines and other inflammatory mediators. The uptake of MSU crystals by monocytes involves interactions with Toll-like receptors (TLR-2 and TLR-4) and CD14, components of the innate immune system. Intracellularly, MSU crystals activate inflammasomes to activate pro-IL-1 (interleukin 1) processing to yield mature IL-1beta. The inflammatory effects of MSU are IL-1-dependent and can be blocked by IL-1 inhibitors. These advances provide new therapeutic targets to treat hyperuricemia and gout.

Speculation, risk premia and expectations in the yield curve

An affine asset pricing model in which traders have rational but heterogeneous expectations aboutfuture asset prices is developed. We use the framework to analyze the term structure of interestrates and to perform a novel three-way decomposition of bond yields into (i) average expectationsabout short rates (ii) common risk premia and (iii) a speculative component due to heterogeneousexpectations about the resale value of a bond. The speculative term is orthogonal to public informationin real time and therefore statistically distinct from common risk premia. Empirically wefind that the speculative component is quantitatively important accounting for up to a percentagepoint of yields, even in the low yield environment of the last decade. Furthermore, allowing for aspeculative component in bond yields results in estimates of historical risk premia that are morevolatile than suggested by standard Affine Gaussian term structure models which our frameworknests.

Testing I(1) against I(d) alternatives in the presence of deteministic components

This paper discusses the role of deterministic components in the DGP and in the auxiliaryregression model which underlies the implementation of the Fractional Dickey-Fuller (FDF) test for I(1) against I(d) processes with d [0, 1). This is an important test in many economic applications because I(d) processess with d < 1 are mean-reverting although, when 0.5 = d < 1, like I(1) processes, they are nonstationary. We show how simple is the implementation of the FDF in these situations, and argue that it has better properties than LM tests. A simple testing strategy entailing only asymptotically normally distributedtests is also proposed. Finally, an empirical application is provided where the FDF test allowing for deterministic components is used to test for long-memory in the per capita GDP of several OECD countries, an issue that has important consequences to discriminate between growth theories, and on which there is some controversy.