Identification of optimal structural connectivity using functional connectivity and neural modeling.

The complex network dynamics that arise from the interaction of the brain's structural and functional architectures give rise to mental function. Theoretical models demonstrate that the structure-function relation is maximal when the global network dynamics operate at a critical point of state transition. In the present work, we used a dynamic mean-field neural model to fit empirical structural connectivity (SC) and functional connectivity (FC) data acquired in humans and macaques and developed a new iterative-fitting algorithm to optimize the SC matrix based on the FC matrix. A dramatic improvement of the fitting of the matrices was obtained with the addition of a small number of anatomical links, particularly cross-hemispheric connections, and reweighting of existing connections. We suggest that the notion of a critical working point, where the structure-function interplay is maximal, may provide a new way to link behavior and cognition, and a new perspective to understand recovery of function in clinical conditions.

Physiologically based pharmacokinetic modeling of arsenic in the mouse

A remarkable feature of the carcinogenicity of inorganic arsenic is that while human exposures to high concentrations of inorganic arsenic in drinking water are associated with increases in skin, lung, and bladder cancer, inorganic arsenic has not typically caused tumors in standard laboratory animal test protocols. Inorganic arsenic administered for periods of up to 2 yr to various strains of laboratory mice, including the Swiss CD-1, Swiss CR:NIH(S), C57Bl/6p53(+/-), and C57Bl/6p53(+/+), has not resulted in significant increases in tumor incidence. However, Ng et al. (1999) have reported a 40% tumor incidence in C57Bl/6J mice exposed to arsenic in their drinking water throughout their lifetime, with no tumors reported in controls. In order to investigate the potential role of tissue dosimetry in differential susceptibility to arsenic carcinogenicity, a physiologically based pharmacokinetic (PBPK) model for inorganic arsenic in the rat, hamster, monkey, and human (Mann et al., 1996a, 1996b) was extended to describe the kinetics in the mouse. The PBPK model was parameterized in the mouse using published data from acute exposures of B6C3F1 mice to arsenate, arsenite, monomethylarsonic acid (MMA), and dimethylarsinic acid (DMA) and validated using data from acute exposures of C57Black mice. Predictions of the acute model were then compared with data from chronic exposures. There was no evidence of changes in the apparent volume of distribution or in the tissue-plasma concentration ratios between acute and chronic exposure that might support the possibility of inducible arsenite efflux. The PBPK model was also used to project tissue dosimetry in the C57Bl/6J study, in comparison with tissue levels in studies having shorter duration but higher arsenic treatment concentrations. The model evaluation indicates that pharmacokinetic factors do not provide an explanation for the difference in outcomes across the various mouse bioassays. Other possible explanations may relate to strain-specific differences, or to the different durations of dosing in each of the mouse studies, given the evidence that inorganic arsenic is likely to be active in the later stages of the carcinogenic process. [Authors]

Modeling the impact of lesions in the human brain.

Lesions of anatomical brain networks result in functional disturbances of brain systems and behavior which depend sensitively, often unpredictably, on the lesion site. The availability of whole-brain maps of structural connections within the human cerebrum and our increased understanding of the physiology and large-scale dynamics of cortical networks allow us to investigate the functional consequences of focal brain lesions in a computational model. We simulate the dynamic effects of lesions placed in different regions of the cerebral cortex by recording changes in the pattern of endogenous ("resting-state") neural activity. We find that lesions produce specific patterns of altered functional connectivity among distant regions of cortex, often affecting both cortical hemispheres. The magnitude of these dynamic effects depends on the lesion location and is partly predicted by structural network properties of the lesion site. In the model, lesions along the cortical midline and in the vicinity of the temporo-parietal junction result in large and widely distributed changes in functional connectivity, while lesions of primary sensory or motor regions remain more localized. The model suggests that dynamic lesion effects can be predicted on the basis of specific network measures of structural brain networks and that these effects may be related to known behavioral and cognitive consequences of brain lesions.

Determinants of brain cell metabolic phenotypes and energy substrate utilization unraveled with a modeling approach.

Although all brain cells bear in principle a comparable potential in terms of energetics, in reality they exhibit different metabolic profiles. The specific biochemical characteristics explaining such disparities and their relative importance are largely unknown. Using a modeling approach, we show that modifying the kinetic parameters of pyruvate dehydrogenase and mitochondrial NADH shuttling within a realistic interval can yield a striking switch in lactate flux direction. In this context, cells having essentially an oxidative profile exhibit pronounced extracellular lactate uptake and consumption. However, they can be turned into cells with prominent aerobic glycolysis by selectively reducing the aforementioned parameters. In the case of primarily oxidative cells, we also examined the role of glycolysis and lactate transport in providing pyruvate to mitochondria in order to sustain oxidative phosphorylation. The results show that changes in lactate transport capacity and extracellular lactate concentration within the range described experimentally can sustain enhanced oxidative metabolism upon activation. Such a demonstration provides key elements to understand why certain brain cell types constitutively adopt a particular metabolic profile and how specific features can be altered under different physiological and pathological conditions in order to face evolving energy demands.

Evaluation of occupational exposure: comparison of biological and environmental variabilities using physiologically based toxicokinetic modeling

PURPOSE: Few studies compare the variabilities that characterize environmental (EM) and biological monitoring (BM) data. Indeed, comparing their respective variabilities can help to identify the best strategy for evaluating occupational exposure. The objective of this study is to quantify the biological variability associated with 18 bio-indicators currently used in work environments. METHOD: Intra-individual (BV(intra)), inter-individual (BV(inter)), and total biological variability (BV(total)) were quantified using validated physiologically based toxicokinetic (PBTK) models coupled with Monte Carlo simulations. Two environmental exposure profiles with different levels of variability were considered (GSD of 1.5 and 2.0). RESULTS: PBTK models coupled with Monte Carlo simulations were successfully used to predict the biological variability of biological exposure indicators. The predicted values follow a lognormal distribution, characterized by GSD ranging from 1.1 to 2.3. Our results show that there is a link between biological variability and the half-life of bio-indicators, since BV(intra) and BV(total) both decrease as the biological indicator half-lives increase. BV(intra) is always lower than the variability in the air concentrations. On an individual basis, this means that the variability associated with the measurement of biological indicators is always lower than the variability characterizing airborne levels of contaminants. For a group of workers, BM is less variable than EM for bio-indicators with half-lives longer than 10-15 h. CONCLUSION: The variability data obtained in the present study can be useful in the development of BM strategies for exposure assessment and can be used to calculate the number of samples required for guiding industrial hygienists or medical doctors in decision-making.

Pollution stress on aquatic microbial communities

Thousands of chemical compounds enter the natural environment but many have unknown effects and consequences, in particular at low concentrations. This thesis work contributes to our understanding of pollution effects by using bacteria as test organisms. Bacteria are important for this question because some of them degrade and transform pollutants into less harmful compounds, but secondly because they themselves can be inhibited in their reproduction by exposure to toxic compounds. When inhibitory effects occur this may change the composition of the microbial com¬munity in the long run, leading to altered or diminished ecosystem services by those communities. As a result chemicals of anthropogenic origin may accumulate and per¬sist in the environment, and finally, affect higher organisms as well. In addition to acquiring basic understanding of pollutant effects at low concentrations on bacterial communities an applied goal of this thesis work was to develop bacteria-based tests to screen new organic chemicals for toxicity and biodégradation. In the first part of this work we developed a flow cytometry-based assay on SYT09 plus ethidium-bromide or propidium-iodide stained cells of Pseudomonas ûuorescens exposed or not to a variety of pollutants under oligotrophic growth conditions. Flow cytometry (FC) allows fast and accurate counting of bacterial cells under simul¬taneous assessment of their physiological state, in particular in combination with different fluorescent dyes. Here we employed FC and fluorescent dyes to monitor the effect that pollutants may exert on Pseudomonas ûuorescens SV3. First we designed an oligotrophic growth test, which enabled us to follow population growth at low densities (104 - 10 7 cells per ml) using 0.1 mM sodium acetate as carbon source. Cells in the oligotrophic milieu were then exposed or not to a variety of common pollutants, such as 2-chlorobiphenyl (2CBP), naphthalene (NAH), 4-chlorophenol (4CP), tetradecane (TD), mercury chloride (HgCl2) or benzene, in different dosages. Exposed culture samples were stained with SYT09 (green fluorescent dye binding nucleic acids, generally staining all cells) in combination with propidium iodide (PI) or ethidium bromide (EB), both dyes being membrane integrity indicators. We ob- served that most of the tested compounds decreased population growth in a dosage- dependent manner. SYT09/PI or SYT09/EB staining then revealed that chemical exposure led to arisal of subpopulations of live and injured or dead cells. By modeling population growth on the total cell numbers in population or only the subpopulation of live cells we inferred that even in stressed populations live cells multiply at rates no different to unexposed controls. The net decrease in population growth would thus be a consequence of more and more cells being not able to multiply at all, rather than all cells multiplying at slower rates. In addition, the proportion of injured cells correlated to the compound dosage. We concluded that the oligotrophic test may be useful to asses toxicity of unknown chemicals on a variety of model bacteria. Mul¬tiple tests can be run in parallel and effects are rapidly measured within a period of 8 hours. Interestingly, in the same exposure tests with P. fluorescens SV3 we observed that some chemicals which did not lead to a reduction of net population growth rates did cause measurable effects on live cells. This was mainly observed in cells within the live subpopulation as an increase of the EB fluorescence signal. We showed that SYT09/EB is a more useful combination of dyes than SYT09/PI because PI fluorescence tend to increase only when cells are effectively dead, but not so much in live cells (less then twofold). In contrast, EB geometric mean fluorescence in live cells increased up to eightfold after exposure to toxic compounds. All compounds even at the lowest concentration caused a measurable increase in EB geometric mean fluorescence especially after 2 h incubation time. This effect was found to be transient for cells exposed to 2CBP and 4CP, but chronic for cells incubated with TD and NAH (ultimately leading to cell death). In order to understand the mechanism underlying the observed effects we used known membrane or energy uncouplers. The pattern of EB signal increase in chemical-exposed populations resembled mostly that of EDTA, although EB fluorescence in EDTA-treated or pasteurized cells was even higher than after exposure to the four test chemicals. We conclude that the ability of cells to efflux EB under equilibrium conditions is an appropriate measure for the potential of a chemical to exert toxicity. Since most bacterial species possess efflux systems for EB that all require cellular energy, our test should be more widely relevant to infer toxicity effects of chemical exposure on the physiological status of the bacterial cell. To better understand the effect of toxicant exposure on efflux defense systems, we studied 2-hydroxybiphenyl toxicity to Pseudomonas azeiaica HBP1. We showed that 2-HBP exerts toxicity even to P. azelaica HBP1, but only at concentrations higher than 0.5 mM. Above this concentration transient loss of membrane polarization and integrity occurred, which we conclude from staining of growing cells with fluorescent dyes. Cells finally recover and resume growth on 2HBP. The high resistance of P. azelaica HBP1 to 2-HBP was found to be the result of an efficient MexABOprM- type efflux pump system counteracting passive influx of this compound into the membrane and cellular interior. Mutants with disrupted mexA, mexB and oprM genes did no longer grow on 2-HBP at concentrations above 100 μΜ, whereas below this concentration we found 2-HBP-concentration dependent decrease of growth rate. The MexAB-OprM system in P. azeiaica HBP1 is indeed an efflux pump for ethidium bromide as well. By introducing gfp reporter fusions responsive to intracellular 2- HBP concentrations into HBP1 wild-type or the mutants we demonstrated that 2HBP enters into the cells in a similar way. In contrast, the reporter system in the wild-type cells does not react to 2-HBP at an outside concentration of 2.4 μΜ, whereas in mutant cells it does. This suggests that wild-type cells pump 2-HBP to the outside very effectively preventing accumulation of 2-HBP. 2HBP metabolism, therefore, is not efficient enough to lower the intracellular concentration and prevent toxicity. We conclude that P. azelaica HBP1 resistance to 2-HBP is mainly due to an efficient efflux system and that 2HBP in high concentrations exerts narcotic effects on the bacterial membrane. In the part of this thesis, we investigated the possibilities of bacteria to degrade pollutants at low concentrations (1 mg per L and below). As test components we used 2-hydroxybiphenyl, antibiotics and a variety of fragrances, many of which are known to be difficult to biodegrade. By using accurate counting of low numbers of bacterial cells we could demonstrate that specific growth on these compounds is possible. We demonstrated the accuracy of FC counting at low cell numbers (down to 103 bacterial cells per ml). Then we tested whether bacterial population growth could be specifically monitored at the expense of low substrate concentrations, us¬ing P. azelaica HBP1. A perfect relationship was found between growth rate, yield and 2-HBP concentrations in the range of 0.1 up to 5 mg per L. Mixing P. azelaica within sludge, however, suggested that growth yields in a mixed community can be much lower than in pure culture, perhaps because of loss of metabolic intermediates. We then isolated new strains from activated sludge using 2-HBP or antibiotics (Nal, AMP, SMX) at low concentrations (0.1-1 mg per L) as sole carbon and energy sub¬strate and PAO microdishes. The purified strains were then examined for growth on their respective substrate, which interestingly, showed that all strains can not with¬stand higher than 1 or 10 mg per L concentrations of target substrate. Thus, bacteria must exist that contribute to compound degradation at low pollutant concentrations but are inhibited at higher concentrations. Finally we tested whether specific biomass growth (in number of cells) at the expense of pollutants can also be detected with communities as starting material. Hereto, we focused on a number of fragrance chemicals and measured community biomass increase by flow cytometry cell counting on two distinct starter communities: (i) diluted Lake Geneva water, and dilute activated sludge from a wastewater treatment plant. We observed that most of the test compounds indeed resulted in significant biomass increase in the starter community compared to a no-carbon added control, but activated sludge and lake Geneva water strongly differed (almost mutually ex¬clusive) in their capacity to degrade the test chemicals. In two cases for activated sludge the same type of microbial community developed upon compound exposure, as concluded from transcription fragment length polymorphism analysis on community purified and PCR amplified 16S rRNA gene fragments. To properly test compound biodegradability it is thus important to use starter communities of different origin. We conclude that FC counting can be a valuable tool to screen chemicals for their biodegradability and toxicity. - Des milliers de produits chimiques sont libérés dans l'environnement mais beaucoup ont des effets inconnus, en particulier à basses concentrations. Ce travail de thèse contribue à notre comprehension des effets de la pollution en utilisant des bacteries comme des organismes-tests. Les bacteries sont importantes pour etudier cette ques¬tion car certaines d'entre elles peuvent degrader ou transformer les polluants, mais également parce qu'elles-mmes peuvent tre inhibees dans leur reproduction après avoit ete exposees à ces composes toxiques. Quand des effets inhibiteurs ont lieu, la composition de la communauté microbienne peut tre changee à long terme, ce qui mène à une reduction du service d'ecosystème offert par ces communautés. En consequence, après leur liberation dans l'environnement, les produits chimiques d'origine anthropogenique peuvent soit s'y accumuler et per¬sister, exerant ainsi des effets encore inconnus sur les organismes vivants. En plus d'acquérir des connaissances de base sur les effets des polluants à basses concentra¬tions sur les communautés microbiennes, un but applique de cette thèse était de développer des tests bases sur les bacteries afin d'identifier de nouveau composes pour leur toxicité ou leur biodégradation. Dans la première partie de ce travail, nous avons developpe un test base sur la cytometrie de flux (FC) sur des cellules de Pseudomonas fluorescens colorees par du bromure d'ethidium ou de l'iodure de propidium et exposees ou non à une palette de polluants sous des conditions de croissance oligotrophique. La cytometrie de flux est une technique qui connaît de nombreuses applications dans la microbiologie environ¬nementale. Cela est principalement du au fait qu'elle permet un comptage rapide et precis ainsi que l'évaluation de l'état physiologique, en particulier lorsqu'elle est combinée h des colorations fluorescentes. Ici, nous avons utilise la technique FC et des colorants fluorescents afin de mesurer l'effet que peuvent exercer certains pollu¬ants sur Pseudomonas ûuorescens SV3 . D'abord nous avons conu des tests oligo- trophiques qui nous permettent de suivre la croissance complète de cellules en culture h des densites faibles (104 -10 7 cellules par ml), sur de l'acetate de sodium à 0.1 mM, en presence ou absence de produits chimiques (2-chlorobiphenyl (2CBP), naphthalène (NAH), 4-chlorophenol (4CP), tetradecane (TD), chlorure de mercure(II) (HgCl2)) à différentes concentrations. Afin de montrer le devenir des bacteries tant au niveau de la cellule individuelle que celui de la population globale, après exposition à des series de composes chimiques, nous avons compte les cellules colorees avec du SYT09 (col¬orant fluorescent vert des acides nucléiques pour la discrimination des cellules par rapport au bruit de fond) en combinaison avec l'iodure de propidium (PI) ou le bromure d'ethidium (EB), indicateurs de l'intégrité de la membrane cellulaire avec FC. Nous avons observe que de nombreux composes testes avaient un effet sur la croissance bacterienne, resultant en une baisse du taux de reproduction de la pop¬ulation. En outre, la double coloration que nous avons utilisee dans cette etude SYT09/PI ou SYT09/EB a montre que les produits chimiques testes induisaient une reponse heterogène des cellules dans la population, divisant celle-ci en sous- populations "saine", "endommagee" ou "morte". Les nombres de cellules à partir du comptage et de la proportion de celles "saines" et "endommagees/mortes" ont ensuite ete utilises pour modeliser la croissance de P. ûuorescens SV3 exposee aux produits chimiques. La reduction nette dans la croissance de population est une consequence du fait que de plus en plus de cellules sont incapables de se reproduire, plutt que du fait d'une croissance plus lente de l'ensemble de la population. De plus, la proportion de cellules endommagees est correllee au dosage du compose chimique. Les résultats obtenus nous ont permis de conclure que le test oligotrophique que nous avons developpe peut tre utilise pour l'évaluation de la toxicité de produits chimiques sur différents modèles bacteriens. Des tests multiples peuvent tre lances en parallèle et les effets sont mesures en l'espace de huit heures. Par ailleurs, nous en déduisons que les produits chimiques exercént un effet sur la croissance des cellules de P. ûuorescens SV3, qui est heterogène parmi les cellules dans la population et depend du produit chimique. Il est intéressant de noter que dans les mmes tests d'exposition avec P. ûuorescens SV3, nous avons observe que certains composes qui n'ont pas conduit à une reduction du taux de la croissance nette de la population, ont cause des effets mesurables sur les cellule saines. Ceci a ete essentiellement observe dans la portion "saine" des cellules en tant qu'augmentation du signal de la fluorescence de 1ΈΒ. D'abord nous avons montre que SYT09/EB était une com¬binaison de colorants plus utile que celle de SYT09/PI parce que la fluorescence du PI a tendance à augmenter uniquement lorsque les cellules sont effectivement mortes, et non pas dans les cellules saines (moins de deux fois plus). Par opposi¬tion, la fluorescence moyenne de l'EB dans les cellules saines augmente jusqu'à huit fois plus après exposition aux composes toxiques. Tous les composes, mme aux plus basses concentrations, induisent une augmentation mesurable de la fluorescence moy¬enne de 1ΈΒ, plus particulièrement après deux heures d'incubation. Cet effet s'est revele tre transitoire pour les cellules exposees aux 2CNP et 4CP, mais est chro¬nique pour les cellules incubees avec le TD et le NAH (entranant la mort cellulaire). Afin de comprendre les mécanismes qui sous-tendent les effets observes, nous avons utilise des decoupleurs d'energie ou de membrane. L'augmentation du signal EB dans les populations causee par des produits chimiques ressemblait à celle exerce par le chelateur des ions divalents EDTA. Cependant, les intensités du signal EB des cellules exposees aux produits chimiques testees n'ont jamais atteint les valeurs des cellules traitees avec l'EDTA ou pasteurises. Nous en concluons que le test oli- gotrophique utilisant la coloration (SYT09/)EB des cellules exposees ou non à un produit chimique est utile afin d'evaluer l'effet toxique exerce par les polluants sur la physiologie bacterienne. Afin de mieux comprendre la reaction d'un système de defense par pompe à efflux après exposition à une toxine, nous avons étudié la toxicité du 2-hydroxybiphenyl (2-HBP) sur Pseudomonas azeiaica HBP1. Nous avons montre que le 2-HBP exerce une toxicité mme sur HBP1, mais uniquement à des concentrations supérieures à 0.5 mM. Au-dessus de cette concentration, des pertes transitoires d'intégrité et de polarization membranaire ont lieu, comme cela nous a ete montre par coloration des cellules en croissance. Les cellules sont finalement capables de se rétablir et de reprendre leur croissance sur 2-HBP. La forte resistance de P. azeiaica HBP1 h 2-HBP physiologie bacterienne s'est revele tre le résultat d'un système de pompe h efflux de type MexABOprM qui contre-balance l'influx passif de ce compose h travers la membrane. Nous avons montre, en construisant des mutants avec des insertions dans les gènes mexA, mexB and oprM et des fusions avec le gène rapporteur gfp, que l'altération de n'importe quelle partie du système d'efflux conduisait à accroître l'accumulation de 2-HBP dans la cellule, en comparaison avec la souche sauvage HBP1, provoquant une diminution de la resistance au 2-HBP ainsi qu'une baisse du taux de reproduction des cellules. Des systèmes d'efflux similaires sont répandus chez de nombreuses espèces bactériennes. Ils seraient responsables de la resistance aux produits chimiques tels que les colorants fluorescents (bromure d'ethidium) et des antibiotiques. Nous concluons que la resistance de P. azelaica HBP1 à 2-HBP est principalement due à un système d'efflux efficace et que 2-HBP, à des concentrations elevees, exerce un effet deletère sur la membrane bacterienne. En se basant sur le comptage des cellules avec la FC, nous avons developpe ensuite une methode pour evaluer la biodegradabilite de polluants tels que le 2-HBP ainsi que les antibiotiques (acide nalidixique (Nal), ampicilline (AMP) ou sulfamethoxazole (SMX)) à de faibles concentrations lmg par L et moins), par le suivi de la croissance spécifique sur le compose de cultures microbiennes pures et mixtes. En utilisant un comptage precis de faibles quantités de cellules nous avons pu demontrer que la croissance spécifique sur ces composes est possible. Nous avons pu illustrer la precision du comptage par cytometrie de flux à faible quantité de cellules (jusqu'à 10 3 cellules par ml). Ensuite, nous avons teste s'il était possible de suivre dynamiquement la croissance de la population de cellules sur faibles concentrations de substrats, en utilisant P. azelaica HBP1. Une relation parfaite a ete trouvee entre le taux de croissance, le rendement et les concentrations de 2-HBP (entre 0.1 et 5 mg par L). En mélangeant HBP1 à de la boue active, nous avons pu montrer que le rendement en communauté mixtes pouvait tre bien inférieur qu'en culture pure. Ceci étant peut tre le résultat d'une perte d'intermédiaires métaboliques. Nous avons ensuite isole de nouvelles souches à partir de la boue active en utilisant le 2-HBP ou des antibiotiques (Nal, AMP, SMX) h basses concentrations (0.1-1 mg par L) comme seules sources de carbone et d'energie. En combinaison avec ceci, nous avons également utilise des microplaques PAO. Les souches purifiees ont ensuite ete examinees pour leurs croissances sur leurs substrats respectifs. De faon intéressante, toutes ces souches ont montre qu'elles ne pouvaient pas survivre à des concentrations de substrats supérieures à 1 ou 10 mg par L. Ainsi, il existe des bacteries qui contribuent à la degradation de composes à basses concentrations de polluant mais sont inhibes lorsque ces concentrations deviennent plus hautes. Finalement, nous avons cherche à savoir s'il est possible de detecter une croissance spécifique à une biomasse au depend d'un polluant, en partant d'une communauté microbienne. Ainsi, nous nous sommes concentre sur certains composes et avons mesure l'augmentation de la biomasse d'une communauté grce à la cytometrie de flux. Nous avons compte deux communautés de depart distinctes: (i) une dilution d'eau du Lac Léman, et une dilution de boue active d'une station d'épuration. Nous avons observe que la plupart des composes testes ont entrane une augmentation de la biomasse de depart par rapport au control sans addition de source de carbone. Néanmoins, les échantillons du lac Léman et de la station d'épuration différaient largement (s'excluant mutuellement l'un l'autre) dans leur capacité à degrader les composes chimiques. Dans deux cas provenant de la station d'épuration, le mme type de communauté microbienne s'est developpe après exposition aux composes, comme l'a démontré l'analyse TRFLP sur les fragments d'ARN 16S purifie de la communauté et amplifie par PCR. Afin de tester correctement la biodegradabilite d'un compose, il est donc important d'utiliser des communautés de depart de différentes origines Nous en concluons que le comptage par cytometrie de flux peut tre un outil de grande utilité pour mettre en valeur la biodegradabillite et la toxicité des composes chimiques.

Molecular modeling of peptide-MHC class I complexes : applications to peptide based immunotherapy

Summary The specific CD8+ T cell immune response against tumors relies on the recognition by the T cell receptor (TCR) on cytotoxic T lymphocytes (CTL) of antigenic peptides bound to the class I major histocompatibility complex (MHC) molecule. Such tumor associated antigenic peptides are the focus of tumor immunotherapy with peptide vaccines. The strategy for obtaining an improved immune response often involves the design of modified tumor associated antigenic peptides. Such modifications aim at creating higher affinity and/or degradation resistant peptides and require precise structures of the peptide-MHC class I complex. In addition, the modified peptide must be cross-recognized by CTLs specific for the parental peptide, i.e. preserve the structure of the epitope. Detailed structural information on the modified peptide in complex with MHC is necessary for such predictions. In this thesis, the main focus is the development of theoretical in silico methods for prediction of both structure and cross-reactivity of peptide-MHC class I complexes. Applications of these methods in the context of immunotherapy are also presented. First, a theoretical method for structure prediction of peptide-MHC class I complexes is developed and validated. The approach is based on a molecular dynamics protocol to sample the conformational space of the peptide in its MHC environment. The sampled conformers are evaluated using conformational free energy calculations. The method, which is evaluated for its ability to reproduce 41 X-ray crystallographic structures of different peptide-MHC class I complexes, shows an overall prediction success of 83%. Importantly, in the clinically highly relevant subset of peptide-HLAA*0201 complexes, the prediction success is 100%. Based on these structure predictions, a theoretical approach for prediction of cross-reactivity is developed and validated. This method involves the generation of quantitative structure-activity relationships using three-dimensional molecular descriptors and a genetic neural network. The generated relationships are highly predictive as proved by high cross-validated correlation coefficients (0.78-0.79). Together, the here developed theoretical methods open the door for efficient rational design of improved peptides to be used in immunotherapy. Résumé La réponse immunitaire spécifique contre des tumeurs dépend de la reconnaissance par les récepteurs des cellules T CD8+ de peptides antigéniques présentés par les complexes majeurs d'histocompatibilité (CMH) de classe I. Ces peptides sont utilisés comme cible dans l'immunothérapie par vaccins peptidiques. Afin d'augmenter la réponse immunitaire, les peptides sont modifiés de façon à améliorer l'affinité et/ou la résistance à la dégradation. Ceci nécessite de connaître la structure tridimensionnelle des complexes peptide-CMH. De plus, les peptides modifiés doivent être reconnus par des cellules T spécifiques du peptide natif. La structure de l'épitope doit donc être préservée et des structures détaillées des complexes peptide-CMH sont nécessaires. Dans cette thèse, le thème central est le développement des méthodes computationnelles de prédiction des structures des complexes peptide-CMH classe I et de la reconnaissance croisée. Des applications de ces méthodes de prédiction à l'immunothérapie sont également présentées. Premièrement, une méthode théorique de prédiction des structures des complexes peptide-CMH classe I est développée et validée. Cette méthode est basée sur un échantillonnage de l'espace conformationnel du peptide dans le contexte du récepteur CMH classe I par dynamique moléculaire. Les conformations sont évaluées par leurs énergies libres conformationnelles. La méthode est validée par sa capacité à reproduire 41 structures des complexes peptide-CMH classe I obtenues par cristallographie aux rayons X. Le succès prédictif général est de 83%. Pour le sous-groupe HLA-A*0201 de complexes de grande importance pour l'immunothérapie, ce succès est de 100%. Deuxièmement, à partir de ces structures prédites in silico, une méthode théorique de prédiction de la reconnaissance croisée est développée et validée. Celle-ci consiste à générer des relations structure-activité quantitatives en utilisant des descripteurs moléculaires tridimensionnels et un réseau de neurones couplé à un algorithme génétique. Les relations générées montrent une capacité de prédiction remarquable avec des valeurs de coefficients de corrélation de validation croisée élevées (0.78-0.79). Les méthodes théoriques développées dans le cadre de cette thèse ouvrent la voie du design de vaccins peptidiques améliorés.

Intermittent hemodialysis treatment in cefepime-induced neurotoxicity: Case report, pharmacokinetic modeling, and review of the literature.

Cefepime is a broad-spectrum cephalosporin indicated for in-hospital treatment of severe infections. Acute neurotoxicity, an increasingly recognized adverse effect of this drug in an overdose, predominantly affects patients with reduced renal function. Although dialytic approaches have been advocated to treat this condition, their role in this indication remains unclear. We report the case of an 88-year-old female patient with impaired renal function who developed life-threatening neurologic symptoms during cefepime therapy. She was treated with two intermittent 3-hour high-flux, high-efficiency hemodialysis sessions. Serial pre-, post-, and peridialytic (pre- and postfilter) serum cefepime concentrations were measured. Pharmacokinetic modeling showed that this dialytic strategy allowed for serum cefepime concentrations to return to the estimated nontoxic range 15 hours earlier than would have been the case without an intervention. The patient made a full clinical recovery over the next 48 hours. We conclude that at least 1 session of intermittent hemodialysis may shorten the time to return to the nontoxic range in severe clinically patent intoxication. It should be considered early in its clinical course pending chemical confirmation, even in frail elderly patients. Careful dosage adjustment and a high index of suspicion are essential in this population.

Multi-level modeling of aspects associated with poor mental health in a sample of prehospital emergency professionals.

BACKGROUND: The goal of this paper is to investigate the respective influence of work characteristics, the effort-reward ratio, and overcommitment on the poor mental health of out-of-hospital care providers. METHODS: 333 out-of-hospital care providers answered a questionnaire that included queries on mental health (GHQ-12), demographics, health-related information and work characteristics, questions from the Effort-Reward Imbalance Questionnaire, and items about overcommitment. A two-level multiple regression was performed between mental health (the dependent variable) and the effort-reward ratio, the overcommitment score, weekly number of interventions, percentage of non-prehospital transport of patients out of total missions, gender, and age. Participants were first-level units, and ambulance services were second-level units. We also shadowed ambulance personnel for a total of 416 hr. RESULTS: With cutoff points of 2/3 and 3/4 positive answers on the GHQ-12, the percentages of potential cases with poor mental health were 20% and 15%, respectively. The effort-reward ratio was associated with poor mental health (P < 0.001), irrespective of age or gender. Overcommitment was associated with poor mental health; this association was stronger in women (β = 0.054) than in men (β = 0.020). The percentage of prehospital missions out of total missions was only associated with poor mental health at the individual level. CONCLUSIONS: Emergency medical services should pay attention to the way employees perceive their efforts and the rewarding aspects of their work: an imbalance of those aspects is associated with poor mental health. Low perceived esteem appeared particularly associated with poor mental health. This suggests that supervisors of emergency medical services should enhance the value of their employees' work. Employees with overcommitment should also receive appropriate consideration. Preventive measures should target individual perceptions of effort and reward in order to improve mental health in prehospital care providers.

Patterns of calcium-binding proteins in human inferior colliculus: identification of subdivisions and evidence for putative parallel systems.

The subdivisions of human inferior colliculus are currently based on Golgi and Nissl-stained preparations. We have investigated the distribution of calcium-binding protein immunoreactivity in the human inferior colliculus and found complementary or mutually exclusive localisations of parvalbumin versus calbindin D-28k and calretinin staining. The central nucleus of the inferior colliculus but not the surrounding regions contained parvalbumin-positive neuronal somata and fibres. Calbindin-positive neurons and fibres were concentrated in the dorsal aspect of the central nucleus and in structures surrounding it: the dorsal cortex, the lateral lemniscus, the ventrolateral nucleus, and the intercollicular region. In the dorsal cortex, labelling of calbindin and calretinin revealed four distinct layers.Thus, calcium-binding protein reactivity reveals in the human inferior colliculus distinct neuronal populations that are anatomically segregated. The different calcium-binding protein-defined subdivisions may belong to parallel auditory pathways that were previously demonstrated in non-human primates, and they may constitute a first indication of parallel processing in human subcortical auditory structures.

Assessing alpine plant vulnerability to climate change: A modeling perspective

The potential ecological impact of ongoing climate change has been much discussed. High mountain ecosystems were identified early on as potentially very sensitive areas. Scenarios of upward species movement and vegetation shift are commonly discussed in the literature. Mountains being characteristically conic in shape, impact scenarios usually assume that a smaller surface area will be available as species move up. However, as the frequency distribution of additional physiographic factors (e.g., slope angle) changes with increasing elevation (e.g., with few gentle slopes available at higher elevation), species migrating upslope may encounter increasingly unsuitable conditions. As a result, many species could suffer severe reduction of their habitat surface, which could in turn affect patterns of biodiversity. In this paper, results from static plant distribution modeling are used to derive climate change impact scenarios in a high mountain environment. Models are adjusted with presence/absence of species. Environmental predictors used are: annual mean air temperature, slope, indices of topographic position, geology, rock cover, modeled permafrost and several indices of solar radiation and snow cover duration. Potential Habitat Distribution maps were drawn for 62 higher plant species, from which three separate climate change impact scenarios were derived. These scenarios show a great range of response, depending on the species and the degree of warming. Alpine species would be at greatest risk of local extinction, whereas species with a large elevation range would run the lowest risk. Limitations of the models and scenarios are further discussed.