Modeling storm events to investigate the influence of the stream¿catchment interface zone on stream biogeochemistry

We formulate a new mixing model to explore hydrological and chemical conditions under which the interface between the stream and catchment interface (SCI) influences the release of reactive solutes into stream water during storms. Physically, the SCI corresponds to the hyporheic/riparian sediments. In the new model this interface is coupled through a bidirectional water exchange to the conventional two components mixing model. Simulations show that the influence of the SCI on stream solute dynamics during storms is detectable when the runoff event is dominated by the infiltrated groundwater component that flows through the SCI before entering the stream and when the flux of solutes released from SCI sediments is similar to, or higher than, the solute flux carried by the groundwater. Dissolved organic carbon (DOC) and nitrate data from two small Mediterranean streams obtained during storms are compared to results from simulations using the new model to discern the circumstances under which the SCI is likely to control the dynamics of reactive solutes in streams. The simulations and the comparisons with empirical data suggest that the new mixing model may be especially appropriate for streams in which the periodic, or persistent, abrupt changes in the level of riparian groundwater exert hydrologic control on flux of biologically reactive fluxes between the riparian/hyporheic compartment and the stream water.

Molecular identification and characterization of the Arabidopsis delta(3,5),delta(2,4)-dienoyl-coenzyme A isomerase, a peroxisomal enzyme participating in the beta-oxidation cycle of unsaturated fatty acids.

Degradation of unsaturated fatty acids through the peroxisomal beta-oxidation pathway requires the participation of auxiliary enzymes in addition to the enzymes of the core beta-oxidation cycle. The auxiliary enzyme delta(3,5),delta(2,4)-dienoyl-coenzyme A (CoA) isomerase has been well studied in yeast (Saccharomyces cerevisiae) and mammals, but no plant homolog had been identified and characterized at the biochemical or molecular level. A candidate gene (At5g43280) was identified in Arabidopsis (Arabidopsis thaliana) encoding a protein showing homology to the rat (Rattus norvegicus) delta(3,5),delta(2,4)-dienoyl-CoA isomerase, and possessing an enoyl-CoA hydratase/isomerase fingerprint as well as aspartic and glutamic residues shown to be important for catalytic activity of the mammalian enzyme. The protein, named AtDCI1, contains a peroxisome targeting sequence at the C terminus, and fusion of a fluorescent protein to AtDCI1 directed the chimeric protein to the peroxisome in onion (Allium cepa) cells. AtDCI1 expressed in Escherichia coli was shown to have delta(3,5),delta(2,4)-dienoyl-CoA isomerase activity in vitro. Furthermore, using the synthesis of polyhydroxyalkanoate in yeast peroxisomes as an analytical tool to study the beta-oxidation cycle, expression of AtDCI1 was shown to complement the yeast mutant deficient in the delta(3,5),delta(2,4)-dienoyl-CoA isomerase, thus showing that AtDCI1 is also appropriately targeted to the peroxisome in yeast and has delta(3,5),delta(2,4)-dienoyl-CoA isomerase activity in vivo. The AtDCI1 gene is expressed constitutively in several tissues, but expression is particularly induced during seed germination. Proteins showing high homology with AtDCI1 are found in gymnosperms as well as angiosperms belonging to the Monocotyledon or Dicotyledon classes.

Using toxicokinetic modeling approach to determine biological reference values (BRVs) and to assess human exposure to pesticides

Exposure to various pesticides has been characterized in workers and the general population, but interpretation and assessment of biomonitoring data from a health risk perspective remains an issue. For workers, a Biological Exposure Index (BEI®) has been proposed for some substances, but most BEIs are based on urinary biomarker concentrations at Threshold Limit Value - Time Weighted Average (TLV-TWA) airborne exposure while occupational exposure can potentially occurs through multiple routes, particularly by skin contact (i.e.captan, chlorpyrifos, malathion). Similarly, several biomonitoring studies have been conducted to assess environmental exposure to pesticides in different populations, but dose estimates or health risks related to these environmental exposures (mainly through the diet), were rarely characterized. Recently, biological reference values (BRVs) in the form of urinary pesticide metabolites have been proposed for both occupationally exposed workers and children. These BRVs were established using toxicokinetic models developed for each substance, and correspond to safe levels of absorption in humans, regardless of the exposure scenario. The purpose of this chapter is to present a review of a toxicokinetic modeling approach used to determine biological reference values. These are then used to facilitate health risk assessments and decision-making on occupational and environmental pesticide exposures. Such models have the ability to link absorbed dose of the parent compound to exposure biomarkers and critical biological effects. To obtain the safest BRVs for the studied population, simulations of exposure scenarios were performed using a conservative reference dose such as a no-observed-effect level (NOEL). The various examples discussed in this chapter show the importance of knowledge on urine collections (i.e. spot samples and complete 8-h, 12-h or 24-h collections), sampling strategies, metabolism, relative proportions of the different metabolites in urine, absorption fraction, route of exposure and background contribution of prior exposures. They also show that relying on urinary measurements of specific metabolites appears more accurate when applying this approach to the case of occupational exposures. Conversely, relying on semi-specific metabolites (metabolites common to a category of pesticides) appears more accurate for the health risk assessment of environmental exposures given that the precise pesticides to which subjects are exposed are often unknown. In conclusion, the modeling approach to define BRVs for the relevant pesticides may be useful for public health authorities for managing issues related to health risks resulting from environmental and occupational exposures to pesticides.

Analysis and spatial modeling of the indoor radon Swiss data

The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.

Brain lactate kinetics: Modeling evidence for neuronal lactate uptake upon activation.

A critical issue in brain energy metabolism is whether lactate produced within the brain by astrocytes is taken up and metabolized by neurons upon activation. Although there is ample evidence that neurons can efficiently use lactate as an energy substrate, at least in vitro, few experimental data exist to indicate that it is indeed the case in vivo. To address this question, we used a modeling approach to determine which mechanisms are necessary to explain typical brain lactate kinetics observed upon activation. On the basis of a previously validated model that takes into account the compartmentalization of energy metabolism, we developed a mathematical model of brain lactate kinetics, which was applied to published data describing the changes in extracellular lactate levels upon activation. Results show that the initial dip in the extracellular lactate concentration observed at the onset of stimulation can only be satisfactorily explained by a rapid uptake within an intraparenchymal cellular compartment. In contrast, neither blood flow increase, nor extracellular pH variation can be major causes of the lactate initial dip, whereas tissue lactate diffusion only tends to reduce its amplitude. The kinetic properties of monocarboxylate transporter isoforms strongly suggest that neurons represent the most likely compartment for activation-induced lactate uptake and that neuronal lactate utilization occurring early after activation onset is responsible for the initial dip in brain lactate levels observed in both animals and humans.

Small RNA-dependent expression of secondary metabolism is controlled by Krebs cycle function in Pseudomonas fluorescens.

Pseudomonas fluorescens CHA0, an antagonist of phytopathogenic fungi in the rhizosphere of crop plants, elaborates and excretes several secondary metabolites with antibiotic properties. Their synthesis depends on three small RNAs (RsmX, RsmY, and RsmZ), whose expression is positively controlled by the GacS-GacA two-component system at high cell population densities. To find regulatory links between primary and secondary metabolism in P. fluorescens and in the related species Pseudomonas aeruginosa, we searched for null mutations that affected central carbon metabolism as well as the expression of rsmY-gfp and rsmZ-gfp reporter constructs but without slowing down the growth rate in rich media. Mutation in the pycAB genes (for pyruvate carboxylase) led to down-regulation of rsmXYZ and secondary metabolism, whereas mutation in fumA (for a fumarase isoenzyme) resulted in up-regulation of the three small RNAs and secondary metabolism in the absence of detectable nutrient limitation. These effects required the GacS sensor kinase but not the accessory sensors RetS and LadS. An analysis of intracellular metabolites in P. fluorescens revealed a strong positive correlation between small RNA expression and the pools of 2-oxoglutarate, succinate, and fumarate. We conclude that Krebs cycle intermediates (already known to control GacA-dependent virulence factors in P. aeruginosa) exert a critical trigger function in secondary metabolism via the expression of GacA-dependent small RNAs.

Serum antimüllerian hormone levels remain stable through the menstrual cycle and after oral or vaginal administration of synthetic sex steroids

Rapport de synthèse : Objectif de l'étude : étudier si l'administration orale ou vaginale d'hormones contraceptives influence les concentrations sériques d'hormone antimüllérienne (AMH). Design : essai prospectif chez des femmes recrutées par annonce. Les femmes désireuses d'avoir une contraception ont été randomisées entre une contraception orale et une contraception vaginale. Celles qui ne souhaitaient pas de contraception ont été incluses dans le groupe témoin. Cadre de l'étude : unité de médecine de la reproduction d'un hôpital universitaire. Patientes : vingt-quatre jeunes femmes en bonne santé avec des cycles menstruels réguliers qui n'avaient pas utilisé de contraception hormonale pendant les trois mois précédant l'étude. Intervention : contraception orale ou vaginale du 5ème au 25ème jour du cycle menstruel dans les groupes contraception versus pas de contraception dans le groupe témoin. Mesure d'issue : variations inter et intra-cycle des concentrations sériques d'AMH dans les trois groupes: groupe témoin en cycle spontané et groupes sous contraception oestroprogestative orale ou vaginale. Résultats : les fluctuations d'AMH observées pendant le cycle menstruel (variations intra-cycle) restent dans les valeurs des variations entre deux cycles (variations inter-cycles) tant chez les femmes en cycle spontané que chez les femmes sous contraception orale ou vaginale. Conclusions : nos résultats confirment que les concentrations sériques d'AMH restent stables pendant le cycle menstruel et indiquent qu'elles ne sont pas influencées par l'administration exogène de stéroïdes sexuels contraceptifs, que ce soit par voie orale ou vaginale.

Dosage optimization of treatments using population pharmacokinetic modeling and simulation.

Pharmacokinetic variability in drug levels represent for some drugs a major determinant of treatment success, since sub-therapeutic concentrations might lead to toxic reactions, treatment discontinuation or inefficacy. This is true for most antiretroviral drugs, which exhibit high inter-patient variability in their pharmacokinetics that has been partially explained by some genetic and non-genetic factors. The population pharmacokinetic approach represents a very useful tool for the description of the dose-concentration relationship, the quantification of variability in the target population of patients and the identification of influencing factors. It can thus be used to make predictions and dosage adjustment optimization based on Bayesian therapeutic drug monitoring (TDM). This approach has been used to characterize the pharmacokinetics of nevirapine (NVP) in 137 HIV-positive patients followed within the frame of a TDM program. Among tested covariates, body weight, co-administration of a cytochrome (CYP) 3A4 inducer or boosted atazanavir as well as elevated aspartate transaminases showed an effect on NVP elimination. In addition, genetic polymorphism in the CYP2B6 was associated with reduced NVP clearance. Altogether, these factors could explain 26% in NVP variability. Model-based simulations were used to compare the adequacy of different dosage regimens in relation to the therapeutic target associated with treatment efficacy. In conclusion, the population approach is very useful to characterize the pharmacokinetic profile of drugs in a population of interest. The quantification and the identification of the sources of variability is a rational approach to making optimal dosage decision for certain drugs administered chronically.

Role of β-TrCP1, variant and homologue in HIV-1 life cycle

Summary The CD4 molecule plays a key role in AIDS pathogenesis, it is required for entry of the virus into permissive cells and its subsequent down-modulation of the cell surface is a hallmark of HN-1 infected cells. The virus encodes no less than three proteins that participate in this process: Nef, Vpu and Env. Vpu protein interacts with CD4 within the endoplasmic reticulum of infected cells, where it targets CD4 for degradation through the interaction with a cellular protein named ß-TrCP1. This F-box protein functions as the substrate recognition subunit of the SCF ß-Trcr E3 ubiquitin ligase, which normally induce the ubiquitination and subsequent degradation of various proteins such as ß-catenin and IxBa. Mammals possess a homologue of ß-TrCP1, HOS, also named ß-TrCP2 which has a cytoplasmic subcellular distribution. Structural analysis of the ligand-binding domain of both homologues shows striking surface similarities. Both F-box proteins have a redundant role in a number of cellular processes; however the potential role of ß-TrCP2 in HIV-1 infected cells has not been evaluated. In the present study, we assessed the existence of génetic variants of BRTC, encoding ß-TrCP1, and evaluated whether these variants would affect CD4 down-modulation. Additionally, we determined whether ß-TrCP2 shares with its homologue structural and functional properties that would allow it to bind Vpu, modulate CD4 expression, and thus participate in HN-1 pathogenesis. We identified a single nucleotide polymorphism present in the human population with an allelic frequency of 0.03 that leads to the substitution of alanine 507 by a serine. However, we showed by transient transfection in HeLa CD4+ cells that this variant behaves as ß-TrCP1 with respect to CD4 down-modulation. We established transient expression systems in HeLa CD4+ cells to test whether ß-TrCP2 is implicated in Vpu-mediated CD4 down-modulation. We show by coimmunoprecipitation experiments that ß-TrCP2 binds Vpu and is able to induce CD4 down-modulation as efficiently as ß-TrCP1. In two different cell lines, HeLa CD4+ and Jurkat, Vpu-mediated CD4 down-modulation could not be completely reversed through the silencing of endogenous ß-TrCP 1 or ß-TrCP2 individually, but required both genes to be silenced simultaneously. We evaluated the role of ß-TrCP1 and ß-TrCP2 in HIV-1 life cycle using silencing prior to actual viral infection. Both ß-TrCP1 and ß-TrCP2 contributed to CD4 down-modulation during aone-cycle viral infection iri Ghost cells. In addition, the combined silencing of both homologues in the absence of env and nef reversed CD4 down-modulation, showing that ß-TrCP 1 and ß-TrCP2 represent the main and additive effectors of HIV-1 encoded Vpu. In addition, we showed that silencing of ß-TrCPI but not ß-TrCP2 induced a decrease of HIV-1 LTR-driven expression. In a transient transfection system with Tat and a LTR luciferase reporter, both homologues modulated LTR-driven expression. The present study revealed that ß-TrCP2 represents a novel protein participating in HIV-1 cycle and complete comprehension of the complex interplay occurring between the two F-Box will improve our understanding of HIV-1 infection. Résumé La molécule CD4 joue un rôle clef dans la pathogenèse du SIDA ; elle est requise pour l'entrée du virus dans les cellules permissives et la diminution de sa concentration au niveau de la surface cellulaire est une importante caractéristique des cellules infectées par le VIH-1. Le virus encode pas moins de trois protéines qui participent à ce processus Nef, Vpu et Env. La protéine Vpu lie CD4 au niveau du réticulum endoplasmique et induit sa dégradation en interagissant avec une protéine cellulaire nommée ß-TrCP 1. Cette protéine de type F-Box est une sous unité du complexe ubiquitine-ligase E3 SCFß-TrCP. Elle permet la reconnaissance du substrat par le complexe qui induit l'ubiquitination et la subséquente dégradation de diverses protéines cellulaires comme la ß-catenin ou IκBα. Les mammifères possèdent un homologue à ß-TrCP1appelé ß-TrCP2 (ou HOS). L'analyse comparative du domaine permettant la reconnaissance des substrats des deux homologues montre de frappantes similarités. Le rôle de ß-TrCP2 dans le cycle viral du VIH-1 n'a pas encore été évalué. Lors de cette étude, nous avons recherché l'existence de variants génétique de BTRC (codant pour ß-TrCP1) et nous avons évalué si ces variants pourraient affecter la dégradation des molécules CD4 induite par le virus. Nous avons ainsi identifié un polymorphisme présent dans la population humaine avec une fréquence allélique de 0.03 qui consiste en une substitution de l'alanine 507 par une sérine. Nous avons cependant montré par transfection dans des cellules HeLa CD4+ que ce variant se comporte comme ß-TrCP 1 en ce qui concerne la modulation de CD4. De plus, nous avons déterminé si ß-TrCP2 partageait avec son homologue des propriétés structurelles et fonctionnelles qui lui permettraient de lier Vpu, moduler la concentration de CD4 et ainsi prendre part à la pathogenèse du SIDA. Pour ce faire, nous avons établi un système d'expression temporaire dans des cellules HeLa CD4+. Par co-immunoprécipitation, nous avons montré que ß-TrCP2 lie Vpu et est capable d'induire la dégradation de CD4 aussi efficacement que ß-TrCP1. Dans deux différentes lignées cellulaires, HeLa CD4+ et Jurkat, la dégradation de CD4 n'a pu être complètement inhibée par le silencing individuel de ß-TrCP 1 ou ß-TrCP2, mais nécessitait le silencing simultané des 2 gènes. Nous avons évalué le rôle des deux homologues dans le cycle viral du VIH-1 en infectant des cellules Ghost avec le virus après avoir effectué un silencing des deux protéines. Nous avons ainsi montré que ß-TrCP 1 et ß-TrCP2 contribuent de manière additive à la dégradation de CD4 induite par une infection du VIH-1. Le silencing combiné des deux homologues inhiba complètement cette dégradation en l'absence de env et nef, prouvant qu'aucune autre voie ne participe à ce processus: En outre, nous avons montré que le silencing de ß-TrCP 1 mais pas celui de ß-TrCP2 induisait une diminution de l'expression virale sous contrôle du LTR. Nous n'avons cependant pas été en mesure de reconstituer cet effet en exprimant Tat et un gène reporteur sous contrôle du LTR dans des cellules HeLa CD4+. Le présent travail révèle que ß-TrCP2 représente une nouvelle protéine participant dans le cycle viral du VIH-1. Une complète compréhension de l'effet de chacun des deux homologues sur le cycle viral permettra d'améliorer notre compréhension de l'infection par le VIH-1.

Retinal degeneration depends on Bmi1 function and reactivation of cell cycle proteins.

The epigenetic regulator Bmi1 controls proliferation in many organs. Reexpression of cell cycle proteins such as cyclin-dependent kinases (CDKs) is a hallmark of neuronal apoptosis in neurodegenerative diseases. Here we address the potential role of Bmi1 as a key regulator of cell cycle proteins during neuronal apoptosis. We show that several cell cycle proteins are expressed in different models of retinal degeneration and required in the Rd1 photoreceptor death process. Deleting E2f1, a downstream target of CDKs, provided temporary protection in Rd1 mice. Most importantly, genetic ablation of Bmi1 provided extensive photoreceptor survival and improvement of retinal function in Rd1 mice, mediated by a decrease in cell cycle markers and regulators independent of p16(Ink4a) and p19(Arf). These data reveal that Bmi1 controls the cell cycle-related death process, highlighting this pathway as a promising therapeutic target for neuroprotection in retinal dystrophies.