In vivo and in vitro effects of somatostatin and insulin on glucagon release in a human glucagonoma.

Inhibition of pancreatic glucagon secretion has been reported to be mediated by glucose, insulin and somatostatin. As no human pancreatic alpha-cell lines are available to study in vitro the relative importance of insulin and glucose in the control of pancreatic glucagon release, we investigated a patient presenting with a malignant glucagonoma who underwent surgical resection of the tumour. Functional somatostatin receptors were present as octreotide administration decreased basal glucagon and insulin secretion by 52 and 74%, respectively. The removed tumour was immunohistochemically positive for glucagon, chromogranin A and pancreatic polypeptide but negative for insulin, gastrin and somatostatin. The glucagonoma cells were also isolated and cultured in vitro. Incubation experiments revealed that change from high (10 mM) to low (1 mM) glucose concentration was unable to stimulate glucagon secretion. A dose-dependent inhibition of glucagon release by insulin was however, observed at low glucose concentration. These findings demonstrate that insulin could inhibit glucagon secretion in vitro in the absence of elevated glucose concentrations. These data suggest, as observed in vivo and in vitro in several animal studies, that glucopenia-induced glucagon secretion in humans is not mediated by a direct effect of low glucose on alpha-cells but possibly by a reduction of insulin-mediated alpha-cell suppression and/or an indirect neuronal stimulation of glucagon release.

Benchmarking therapeutic drug monitoring software: A review of available computer tools

Therapeutic drug monitoring (TDM) aims to optimize treatments by individualizing dosage regimens based on the measurement of blood concentrations. Dosage individualization to maintain concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculations currently represent the gold standard TDM approach but require computation assistance. In recent decades computer programs have been developed to assist clinicians in this assignment. The aim of this survey was to assess and compare computer tools designed to support TDM clinical activities. The literature and the Internet were searched to identify software. All programs were tested on personal computers. Each program was scored against a standardized grid covering pharmacokinetic relevance, user friendliness, computing aspects, interfacing and storage. A weighting factor was applied to each criterion of the grid to account for its relative importance. To assess the robustness of the software, six representative clinical vignettes were processed through each of them. Altogether, 12 software tools were identified, tested and ranked, representing a comprehensive review of the available software. Numbers of drugs handled by the software vary widely (from two to 180), and eight programs offer users the possibility of adding new drug models based on population pharmacokinetic analyses. Bayesian computation to predict dosage adaptation from blood concentration (a posteriori adjustment) is performed by ten tools, while nine are also able to propose a priori dosage regimens, based only on individual patient covariates such as age, sex and bodyweight. Among those applying Bayesian calculation, MM-USC*PACK© uses the non-parametric approach. The top two programs emerging from this benchmark were MwPharm© and TCIWorks. Most other programs evaluated had good potential while being less sophisticated or less user friendly. Programs vary in complexity and might not fit all healthcare settings. Each software tool must therefore be regarded with respect to the individual needs of hospitals or clinicians. Programs should be easy and fast for routine activities, including for non-experienced users. Computer-assisted TDM is gaining growing interest and should further improve, especially in terms of information system interfacing, user friendliness, data storage capability and report generation.

Role of the c-Jun N-terminal Kinase signaling in pancreatic β-cells

L'insuline est une hormone qui diminue la concentration de sucre dans le sang et qui est produite par la cellule β du pancréas. Un défaut de production de cette hormone est une des causes principales du diabète. Cette perte de production d'insuline est la conséquence à la fois, de la réduction du nombre de cellules β et du mauvais fonctionnement des cellules β restantes. L'inflammation, en activant la voie de signalisation «c-Jun N-terminal Kinase» (JNK) contribue au déclin de ces cellules. Cette voie de signalisation est activée par des protéines telles que des kinases qui reçoivent le signal de stress. Dans ce travail de thèse nous nous sommes intéressés à étudier le rôle de «Dual leucine zipper bearing kinase» (DLK) comme protéine capable de relayer le stress inflammatoire vers l'activation de la voie JNK dans les cellules β-pancréatiques. Nous montrons que DLK est présente dans les cellules β-pancréatiques et qu'elle agit effectivement comme un activateur de la voie de signalisation de JNK. En outre, DLK joue un rôle clé dans le contrôle de l'expression de l'insuline, de la sécrétion de l'insuline en réponse au glucose et au maintien de la survie des cellules β. Si l'expression de cette protéine diminue, la cellule produit moins d'insuline et sera plus sensible à la mort en réponse au stress inflammatoire. A l'inverse si l'expression de DLK est augmentée, la cellule β produit et secrète plus d'insuline. Des variations de l'expression de DLK sont par ailleurs, associées à l'état de santé de la cellule β. Chez la ratte en gestation ou la souris obèse, dans lesquelles la cellule β produit plus d'insuline, l'expression de DLK est augmentée. En revanche dans les cellules β des patients diabétiques, l'expression de DLK est diminuée par rapport aux cellules non malades. En résumé, DLK est nécessaire pour le bon fonctionnement de la cellule β-pancréatique et son expression corrèle avec le degré de santé des cellules, faisant que cette protéine pourrait être une cible thérapeutique potentiel. Les cellules β-pancréatiques ont la capacité de réguler la sécrétion d'insuline en s'adaptant précisément au stimulus et à la glycémie. La fonction de la cellule β est cruciale dans l'homéostasie du glucose puisque sa dysfonction et sa mort mènent au développement des diabètes de type 1 et 2. De nombreuses études suggèrent que l'inflammation pourrait avoir un rôle dans la dysfonction et la destruction de ces cellules dans le diabète de type 2. L'excès chronique de cytokines proinflammatoires accélère le dysfonctionnement de la cellule β pancréatique par un mécanisme qui implique la voie de signalisation «c-Jun N-terminal Kinase» (JNK). L'activation de cette voie est organisée par des protéines d'échafaudages. Elle se fait par trois étapes successives de phosphorylation impliquant une «Mitogen Activated Protein Kinase Kinase Kinase» (MAP3K), une MAP2K et JNK. Dans ce travail de thèse nous montrons l'expression abondante et spécifique de la MAP3K «Dual Leucine Zipper Bearing Kinase» (DLK) dans les cellules β pancréatiques. Cela est la conséquence de l'absence du répresseur transcriptionnel «Repressor Element 1 Silencing Transcription». Nous montrons également que DLK régule l'activation de JNK et qu'il s'avère nécessaire pour la fonction et la survie de la cellule β pancréatique par un mécanisme impliquant le facteur de transcription PDX-1. L'invalidation de l'expression de DLK diminue l'expression de l'insuline et potentialise l'apoptose induite par des cytokines proinflammatoires. A l'inverse, la surexpression de DLK augmente l'expression et la sécrétion d'insuline induites par le glucose. Par conséquent des niveaux d'expression appropriés de DLK sont déterminants pour la fonction et la survie de la cellule β pancréatique. L'obésité et la grossesse sont caractérisées par une hyperinsulinémie qui résulte d'une augmentation de la production et de la sécrétion de l'insuline. L'expression de DLK est augmentée dans des îlots de rattes gestantes et des souris obèses comparés à leurs contrôles respectifs. A l'inverse, dans des sujets diabétiques, l'expression de DLK est diminuée. Ensemble ces résultats montrent l'importance de DLK dans l'adaptation des îlots par un mécanisme qui pourrait impliquer la voie de signalisation de JNK. Des défauts dans cette voie régulée par DLK pourraient contribuer au dysfonctionnement et la mort de la cellule β pancréatique et par conséquent au développement du diabète. L'étude détaillée du mécanisme par lequel DLK active la voie de signalisation JNK et régule la fonction de la cellule β pancréatique pourrait ouvrir la voie des nouvelles thérapies ciblant l'amélioration de la fonction de la cellule β dans le diabète. - Pancreatic β-cells are evidently plastic in their ability to regulate insulin secretion. The quantity of insulin released by these cells varies according to the stimulus, and the prevailing glucose concentration, β-cell function is pivotal in glucose homeostasis, as their dysfunction, and death can lead to development of type 1 and type 2 diabetes. There are numerous reports so far underlying the role of inflammation in dysfunction, and destruction of β-cells, in both type 1 and type 2 diabetes. Chronic excess of pro¬inflammatory cytokines promotes a β-cell decline, via induction of the c-Jun N-terminal Kinase (JNK) pathway. The activation of the JNK pathway is organized by a scaffold protein-mediated module in which, a three-step phosphorylation cascade occurs. The latter includes, Mitogen activated protein kinase kinase kinase (MAP3K), MAP2K and JNK. In this thesis, we unveil that the MAP3K Dual Leucine Zipper Bearing Kinase (DLK) is selectively, and highly expressed in pancreatic β-cells, as the result from the absence of the transcriptional repressor named, Repressor Element 1 Silencing Transcription (REST). We show that DLK regulates activation of JNK, and is required for β-cell function and survival by modulating the PDX-1 transcription factor. Silencing of DLK expression diminishes insulin expression, and potentiated cytokine-mediated apoptosis. Conversely, overexpression of DLK increased insulin expression, and glucose-induced insulin secretion. Therefore, an appropriate level of DLK is critical for β-cell function and survival. Obesity and pregnancy are characterized by hyperinsulinemia resulting from an increased production and secretion of insulin. In isolated islets of pregnant rats, and obese mice, the expression of DLK was elevated when compared to their respective controls. However, decreased expression of DLK was observed in islets of individuals with diabetes. Taken together, we highlight the importance of DLK in islet adaptation, and describe a mechanism that may involve the JNK signaling. Deficiency in the JNK pathway regulated by DLK may contribute to β-cell failure and death, and thereby development of diabetes. Unraveling the mechanism whereby DLK activates the JNK pathway, and β-cell function, may pave the way for the design of novel therapies, aiming to improve β-cell function and survival in diabetes in general.

Sublingual sugar for hypoglycaemia in children with severe malaria: a pilot clinical study.

BACKGROUND: Hypoglycaemia is a poor prognostic indicator in severe malaria. Intravenous infusions are rarely feasible in rural areas. The efficacy of sublingual sugar (SLS) was assessed in a pilot randomized controlled trial among hypoglycaemic children with severe malaria in Mali. METHODS: Of 151 patients with presumed severe malaria, 23 children with blood glucose concentrations < 60 mg/dl (< 3.3 mmol/l) were assigned randomly to receive either intravenous 10% glucose (IVG; n = 9) or sublingual sugar (SLS; n = 14). In SLS, a teaspoon of sugar, moistened with a few drops of water, was gently placed under the tongue every 20 minutes. The child was put in the recovery position. Blood glucose concentration (BGC) was measured every 5-10 minutes for the first hour. All children were treated for malaria with intramuscular artemether. The primary outcome measure was treatment response, defined as reaching a BGC of >or= 3.3 mmol/l (60 mg/dl) within 40 minutes after admission. Secondary outcome measures were early treatment response at 20 minutes, relapse (early and late), maximal BGC gain (CGmax), and treatment delay. RESULTS: There was no significant difference between the groups in the primary outcome measure. Treatment response occurred in 71% and 67% for SLS and IVG, respectively. Among the responders, relapses occurred in 30% on SLS at 40 minutes and in 17% on IVG at 20 minutes. There was one fatality in each group. Treatment failures in the SLS group were related to children with clenched teeth or swallowing the sugar, whereas in the IVG group, they were due to unavoidable delays in beginning an infusion (median time 17.5 min (range 3-40).Among SLS, the BGC increase was rapid among the nine patients who really kept the sugar sublingually. All but one increased their BGC by 10 minutes with a mean gain of 44 mg/dl (95%CI: 20.5-63.4). CONCLUSION: Sublingual sugar appears to be a child-friendly, well-tolerated and effective promising method of raising blood glucose in severely ill children. More frequent repeated doses are needed to prevent relapse. Children should be monitored for early swallowing which leads to delayed absorption, and in this case another dose of sugar should be given. Sublingual sugar could be proposed as an immediate "first aid" measure while awaiting intravenous glucose. In many cases it may avert the need for intravenous glucose.

Renin inhibition by aliskiren prevents atherosclerosis progression: comparison with irbesartan, atenolol, and amlodipine.

Hypertension is associated with increased risk of cardiovascular diseases. Antihypertensive treatment, particularly blockade of the renin-angiotensin system, contributes to prevent atherosclerosis-mediated cardiovascular events. Direct comparison of different antihypertensive treatments on atherosclerosis and particularly plaque stabilization is sparse. ApoE(-/-) mice with vulnerable (2-kidney, 1-clip renovascular hypertension model) or stable (1-kidney, 1-clip renovascular hypertension model) atherosclerotic plaques were used. Mice were treated with aliskiren (renin inhibitor), irbesartan (angiotensin-receptor blocker), atenolol (beta-blocker), or amlodipine (calcium channel blocker). Atherosclerosis characteristics were assessed. Hemodynamic and hormonal parameters were measured. Aliskiren and irbesartan significantly prevented atherosclerosis progression in 2-kidney, 1-clip mice. Indeed, compared with untreated animals, plaques showed thinner fibrous cap (P&lt;0.05); smaller lipid core (P&lt;0.05); decreased media degeneration, layering, and macrophage content (P&lt;0.05); and increased smooth muscle cell content (P&lt;0.05). Interestingly, aliskiren significantly increased the smooth muscle cell compared with irbesartan. Despite similar blood pressure lowering, only partial plaque stabilization was attained by atenolol and amlodipine. Amlodipine increased plaque smooth muscle cell content (P&lt;0.05), whereas atenolol decreased plaque inflammation (P&lt;0.05). This divergent effect was also observed in 1-kidney, 1-clip mice. Normalizing blood pressure by irbesartan increased the plasma renin concentration (5932+/-1512 ng/mL per hour) more than normalizing it by aliskiren (16085+/-5628 ng/mL per hour). Specific renin-angiotensin system blockade prevents atherosclerosis progression. First, evidence is provided that direct renin inhibition mediates atherosclerotic plaque stabilization. In contrast, beta-blocker and calcium channel blocker treatment only partially stabilize plaques differently influencing atherogenesis. Angiotensin II decisively mediates plaque vulnerability. The plasma renin concentration measurement by an indirect method did not confirm the excessive increase of plasma renin concentration reported in the literature during aliskiren compared with irbesartan or amlodipine treatment.

Severe stroke: patient profile and predictors of favorable outcome.

Summary.  Background:  Severe stroke carries high rates of mortality and morbidity. The aims of this study were to determine the characteristics of patients who initially presented with severe ischemic stroke, and to identify acute and subacute predictors of favorable clinical outcome in these patients. Methods:  An observational cohort study, Acute Stroke Registry and Analysis of Lausanne (ASTRAL), was analyzed, and all patients presenting with severe stroke - defined as a National Institute of Health Stroke Scale score of ≥ 20 on admission - were compared with all other patients. In a multivariate analysis, associations with demographic, clinical, pathophysiologic, metabolic and neuroimaging factors were determined. Furthermore, we analyzed predictors of favorable outcome (modified Rankin scale score of ≤ 3 at 3 months) in the subgroup of severe stroke patients. Results:  Of 1915 consecutive patients, 243 (12.7%) presented with severe stroke. This was significantly associated with cardio-embolic stroke mechanism (odds ratio [OR] 1.74, 95% confidence interval [CI] 1.19-2.54), unknown stroke onset (OR 2.35, 95% CI 1.14-4.83), more neuroimaging signs of early ischemia (mostly computed tomography; OR 2.65, 95% CI 1.79-3.92), arterial occlusions on acute imaging (OR 27.01, 95% CI 11.5-62.9), fewer chronic radiologic infarcts (OR 0.43, 95% CI 0.26-0.72), lower hemoglobin concentration (OR 0.97, 95% CI 0.96-0.99), and higher white cell count (OR 1.05, 95% CI 1.00-1.11). In the 68 (28%) patients with favorable outcomes despite presenting with severe stroke, this was predicted by lower age (OR 0.94, 95% CI 0.92-0.97), preceding cerebrovascular events (OR 3.00, 95% CI 1.01-8.97), hypolipemic pretreatment (OR 3.82, 95% CI 1.34-10.90), lower acute temperature (OR 0.43, 95% CI 0.23-0.78), lower subacute glucose concentration (OR 0.74, 95% CI 0.56-0.97), and spontaneous or treatment-induced recanalization (OR 4.51, 95% CI 1.96-10.41). Conclusions:  Severe stroke presentation is predicted by multiple clinical, radiologic and metabolic variables, several of which are modifiable. Predictors in the 28% of patients with favorable outcome despite presenting with severe stroke include hypolipemic pretreatment, lower acute temperature, lower glucose levels at 24 h, and arterial recanalization.

Alteration of amino acid metabolism in neuronal aggregate cultures exposed to hypoglycaemic conditions.

The neuronal effects of glucose deficiency on amino acid metabolism was studied on three-dimensional cultures of rat telencephalon neurones. Transient (6 h) exposure of differentiated cultures to low glucose (0.25 mm instead of 25 mm) caused irreversible damage, as judged by the marked decrease in the activities of two neurone-specific enzymes and lactate dehydrogenase, 1 week after the hypoglycemic insult. Quantification of amino acids and ammonia in the culture media supernatants indicated increased amino acid utilization and ammonia production during glucose-deficiency. Measurement of intracellular amino acids showed decreased levels of alanine, glutamine, glutamate and GABA, while aspartate was increased. Added lactate (11 mm) during glucose deficiency largely prevented the changes in amino acid metabolism and ammonia production, and attenuated irreversible damage. Higher media levels of glutamine (4 mm instead of 0.25 mm) during glucose deprivation prevented the decrease of intracellular glutamate and GABA, while it further increased intracellular aspartate, ammonia production and neuronal damage. Both lactate and glutamine were readily oxidized in these neuronal cultures. The present results suggest that in neurones, glucose deficiency enhances amino acid deamination at the expense of transamination reactions. This results in increased ammonia production and neuronal damage.

Systematic review of population pharmacokinetic analyses of imatinib and relationships with treatment outcomes

Several population pharmacokinetic (PPK) analyses of the anticancer drug imatinib have been performed to investigate different patient populations and covariate effects. The present analysis offers a systematic qualitative and quantitative summary and comparison of those. Its primary objective was to provide useful information for evaluating the expectedness of imatinib plasma concentration measurements in the frame of therapeutic drug monitoring. The secondary objective was to review clinically important concentration-effect relationships to provide help in evaluating the potential suitability of plasma concentration values. Nine PPK models describing total imatinib plasma concentration were identified. Parameter estimates were standardized to common covariate values whenever possible. Predicted median exposure (Cmin) was derived by simulations and ranged between models from 555 to 1388 ng/mL (grand median: 870 ng/mL and interquartile "reference" range: 520-1390 ng/mL). Covariates of potential clinical importance (up to 30% change in pharmacokinetic predicted by at least 1 model) included body weight, albumin, α1 acid glycoprotein, and white blood cell count. Various other covariates were included but were statistically not significant or seemed clinically less important or physiologically controversial. Concentration-response relationships had more importance below the average reference range and concentration-toxicity relationships above. Therapeutic drug monitoring-guided dosage adjustment seems justified for imatinib, but a formal predictive therapeutic range remains difficult to propose in the absence of prospective target concentration intervention trials. To evaluate the expectedness of a drug concentration measurement in practice, this review allows comparison of the measurement either to the average reference range or to a specific range accounting for individual patient characteristics. For future research, external PPK model validation or meta-model development should be considered.

Benchmarking therapeutic drug monitoring software: A systematic evaluation of available computer tools

Introduction: Therapeutic drug monitoring (TDM) aims at optimizing treatment by individualizing dosage regimen based on measurement of blood concentrations. Maintaining concentrations within a target range requires pharmacokinetic and clinical capabilities. Bayesian calculation represents a gold standard in TDM approach but requires computing assistance. In the last decades computer programs have been developed to assist clinicians in this assignment. The aim of this benchmarking was to assess and compare computer tools designed to support TDM clinical activities.¦Method: Literature and Internet search was performed to identify software. All programs were tested on common personal computer. Each program was scored against a standardized grid covering pharmacokinetic relevance, user-friendliness, computing aspects, interfacing, and storage. A weighting factor was applied to each criterion of the grid to consider its relative importance. To assess the robustness of the software, six representative clinical vignettes were also processed through all of them.¦Results: 12 software tools were identified, tested and ranked. It represents a comprehensive review of the available software's characteristics. Numbers of drugs handled vary widely and 8 programs offer the ability to the user to add its own drug model. 10 computer programs are able to compute Bayesian dosage adaptation based on a blood concentration (a posteriori adjustment) while 9 are also able to suggest a priori dosage regimen (prior to any blood concentration measurement), based on individual patient covariates, such as age, gender, weight. Among those applying Bayesian analysis, one uses the non-parametric approach. The top 2 software emerging from this benchmark are MwPharm and TCIWorks. Other programs evaluated have also a good potential but are less sophisticated (e.g. in terms of storage or report generation) or less user-friendly.¦Conclusion: Whereas 2 integrated programs are at the top of the ranked listed, such complex tools would possibly not fit all institutions, and each software tool must be regarded with respect to individual needs of hospitals or clinicians. Interest in computing tool to support therapeutic monitoring is still growing. Although developers put efforts into it the last years, there is still room for improvement, especially in terms of institutional information system interfacing, user-friendliness, capacity of data storage and report generation.

Free and total plasma levels of lopinavir during pregnancy, at delivery and postpartum: implications for dosage adjustments in pregnant women.

BACKGROUND: Physiological changes associated with pregnancy may alter antiretroviral plasma concentrations and might jeopardize prevention of mother-to-child HIV transmission. Lopinavir is one of the protease inhibitors more frequently prescribed during pregnancy in Europe. We described the free and total pharmacokinetics of lopinavir in HIV-infected pregnant and non-pregnant women, and evaluated whether significant alterations in its disposition and protein binding warrant systematic dosage adjustment. METHODS: Plasma samples were collected at first, second and third trimester of pregnancy, at delivery, in umbilical cord and postpartum. Lopinavir free and total plasma concentrations were measured by HPLC-MS/MS. Bayesian calculations were used to extrapolate total concentrations to trough (Cmin). RESULTS: A total of 42 HIV-positive pregnant women and 37 non-pregnant women on lopinavir/ritonavir were included in the study. Compared to postpartum and control values, total lopinavir Cmin was decreased moderately (31-39%) during pregnancy, and free Cmin minimally, showing significant alteration only at delivery (-35%). However, total and free Cmin remained in all patients above the target concentrations for wild-type virus of 1,000 ng/ml, and above the unbound IC50(WT) of 0.64-0.77 ng/ml of lopinavir, respectively. Lopinavir free fractions remained higher during pregnancy compared to postpartum and controls, and were influenced by α-1-acid-glycoprotein and albumin decrease. Free cord-to-mother ratio (0.43) was 2.7-fold higher than total cord-to-mother ratio (0.16), suggesting higher fetal exposure. CONCLUSIONS: The moderate decrease of total lopinavir concentrations during pregnancy is not associated with proportional decrease in free concentrations. Both reach a nadir at delivery, albeit not to an extent that would put treatment-naive women at risk of insufficient exposure to the free, pharmacologically active concentrations of lopinavir. No dosage adjustment is therefore needed during pregnancy as it is unlikely to further enhance treatment efficacy but could potentially increase the risk of maternal and fetal toxicity. Nonetheless, in case of viral resistance in treatment-experienced pregnant women, loss of virological control or questionable adherence, it is justified to consider lopinavir dosage adjustment based on total plasma concentration measurement.

Characterization of the molecular mechanisms of insulin exocytosis and of their adaptation to physiopathological conditions

Résumé large public Le glucose est une source d'énergie essentielle pour notre organisme, indispensable pour le bon fonctionnement des cellules de notre corps. Les cellules β du pancréas sont chargées de réguler l'utilisation du glucose et de maintenir la glycémie (taux de glucose dans le sang) à un niveau constant. Lorsque la glycémie augmente, ces dernières sécrètent l'insuline, une hormone favorisant l'absorption, l'utilisation et le stockage du glucose. Une sécrétion insuffisante d'insuline provoque une élévation anormale du taux de glucose dans le sang (hyperglycémie) et peut mener au développement du diabète sucré. L'insuline est sécrétée dans le sang par un mécanisme particulier appelé exocytose. Une meilleure compréhension de ce mécanisme est nécessaire dans l'espoir de trouver des nouvelles thérapies pour traiter les 170 millions de personnes atteintes de diabète sucré à travers le monde. L'implication de diverses protéines, comme les SNAREs ou Rabs a déjà été démontrée. Cependant leurs mécanismes d'action restent, à ce jour, peu compris. De plus, l'adaptation de la machinerie d'exocytose à des conditions physiopathologiques, comme l'hyperglycémie, est encore à élucider. Le but de mon travail de thèse a été de clarifier le rôle de deux protéines, Noc2 et Tomosyn, dans l'exocytose ; puis de déterminer les effets d'une exposition prolongée à un taux élevé de glucose sur l'ensemble des protéines de la machinerie d'exocytose. Noc2 est un partenaire potentiel de deux Rabs connues pour leur implication dans les dernières étapes de l'exocytose, Rab3 et Rab27. Grâce à l'étude de différents mutants de Noc2, j'ai montré que l'interaction avec Rab27 permet à la protéine de s'associer avec les organelles de la cellule β contenant l'insuline. De plus, en diminuant sélectivement l'expression de Noc2, j'ai déterminé l'importance de cette protéine pour le bon fonctionnement du processus d'exocytose et le relâchement de l'insuline. Quant à Tomosyn, une protéine interagissant avec les protéines SNAREs, j'ai démontré son importance dans la sécrétion d'insuline en diminuant de manière sélective son expression dans les cellules β. Ensuite, grâce à une combinaison d'approches moléculaires et de microscopie, j'ai mis en évidence le rôle de Tomosyn dans les dernières étapes de l'exocytose. Enfin, puisque la sécrétion d'insuline est diminuée lors d'une hyperglycémie prolongée, j'ai analysé l'adaptation de la machinerie d'exocytose à ces conditions. Ceci m'a permis de découvrir que l'expression de quatre protéines essentielles pour le processus d'exocytose, Noc2, Rab3, Rab27 et Granuphilin, est fortement diminuée lors d'une hyperglycémie chronique. L'ensemble de ces données met en évidence l'importance de Noc2 et Tomosyn dans la sécrétion d'insuline. L'inhibition, par un taux élevé de glucose, de l'expression de Noc2 et d'autres protéines indispensables pour l'exocytose suggère que ce phénomène pourrait contribuer au développement du diabète sucré. Résumé L'exocytose d'insuline, en réponse au glucose circulant dans le sang, est la fonction principale de la cellule β. Celle-ci permet de stabiliser le taux de glucose sanguin (glycémie). Le diabète de type 2 est caractérisé par une glycémie élevée due, principalement, à un défaut de sécrétion d'insuline en réponse au glucose. La compréhension des mécanismes qui contrôlent l'exocytose d'insuline est essentielle pour clarifier les causes du diabète sucré. Plusieurs composants impliqués dans ce processus ont été identifiés. Ceux-ci incluent les SNAREs Syntaxin-1, VAMP2 et SNAP25 et les GTPases Rab3 et Rab27 qui jouent un rôle dans les dernières étapes de l'exocytose. Pendant mon travail de thèse, j'ai étudié le rôle de Noc2, un des partenaires de Rab3 et Rab27, dans l'exocytose d'insuline. Nous avons déterminé que Noc2 s'associe aux granules de sécrétion d'insuline grâce à son interaction avec Rab27. La diminution de l'expression de Noc2 dans la lignée cellulaire β INS-1E, par ARN interférence, influence négativement la sécrétion d'insuline stimulée par différents sécrétagogues et prouve que cette protéine Noc2 est essentielle pour l'exocytose d'insuline. L'interaction avec Munc13, une protéine impliquée dans l'arrimage des vésicules, suggère que Noc2 participe au recrutement des granules d'insuline à la membrane plasmique. Ensuite, j'ai analysé l'adaptation de la machinerie d'exocytose à des concentrations supraphysiologiques de glucose. Le niveau d'expression de Rab3 et Rab27 et de leurs effecteurs Granuphilin/S1p4 et Noc2 est fortement diminué par une exposition prolongée des cellules β à haut glucose. L'effet observé est en relation avec l'induction de l'expression de ICER, un facteur de transcription surexprimé dans des conditions d'hyperglycémie et également dans des modèles génétiques de diabète de type 2. La surexpression de ICER dans des cellules INS-1E diminue l'expression de Rab3, Rab27, Granuphilin/Slp4 et Noc2 et par conséquent l'exocytose d'insuline. Ainsi, l'induction de ICER, après une exposition prolongée à haut glucose, régule négativement l'expression de protéines essentielles pour l'exocytose et altère la sécrétion d'insuline. Ce mécanisme pourrait contribuer au dysfonctionnement de l'exocytose d'insuline dans le diabète de type 2. Dans la dernière partie de ma thèse, j'ai investigué le rôle de la protéine Tomosyn-1 dans la formation du complexe SNARE. Cette protéine a une forte affinité pour Syntaxin-1 et contient un domaine SNARE. Tomosyn-1 est concentrée dans les régions cellulaires enrichies en granules de sécrétion. La diminution sélective de l'expression de Tomosyn-1 induit une réduction de l'exocytose stimulée par différents sécrétagogues. Cet effet est dû à un défaut de fusion des granules avec la membrane plasmique. Ceci nous indique que Tomosyn-1 intervient dans une phase importante de la préparation des vésicules à la fusion, qui est nécessaire à l'exocytose. Abstract: Insulin exocytosis from pancreatic β-cells plays a central role in blood glucose homeostasis. Diabetes mellitus is a complex metabolic disorder characterized by secretory dysfunctions in pancreatic β-cells and release of amounts of insulin that are inappropriate to maintain blood glucose concentration within normal physiological ranges. To define the causes of β-cell failure a basic understanding of the molecular mechanisms that control insulin exocytosis is essential. Some of the molecular components involved in this process have been identified, including the SNARE proteins VAMP2, Syntaxin-1 and SNAP25 and the two GTPases, Rab3 and Rab27, that regulate the final steps of insulin secretion. I first investigated the role of Noc2, a potential Rab3 and Rab27 partner, in insulin secretion. I found that Noc2 associates with Rab27 and is recruited by this GTPase on insulin- containing granules. Silencing of the Noc2 gene by RNA interference led to a strong impairment in the capacity of the β-cell line INS-1E to respond to secretagogues, indicating that appropriate levels of the protein are essential for insulin exocytosis. I also showed that Noc2 interacts with Munc13, a protein that controls vesicle priming, suggesting a possible involvement of Noc2 in the recruitment of secretory granules at the plasma membrane. In the second part of my thesis, I investigated the adaptation of the molecular machinery of exocytosis to physiopathological conditions. I found that the expression of Rab3, Rab27 and of their effectors Granuphilin/Slp4 and Noc2 is dramatically decreased by chronic exposure of β-ce1ls to supraphysiological glucose levels. The observed glucotoxic effect is a consequence of the induction of ICER, a transcriptional repressor that is increased by prolonged hyperglycemia and in genetic models of type 2 diabetes. Overexpression of ICER reduced Granuphilin, Noc2, Rab3 and Rab27 levels and inhibited exocytosis. These results suggest that the presence of inappropriate levels of ICER diminishes the expression of a group of proteins essential for exocytosis and contributes to defective insulin release in type 2 diabetes. In the last part of my thesis, I focused my attention on the role of Tomosyn-1, a Syntaxin-1 binding protein possessing a SNARE-like motif, in the control of SNARE complex assembly. I found that Tomosyn-1 is concentrated in cellular compartments enriched in insulin-containing secretory granules. Silencing of Tomosyn-1 did not affect the number of secretory granules docked at the plasma membrane but decreased their release probability, resulting in a reduction in stimulus-induced insulin exocytosis. These findings suggest that Tomosyn-1 is involved in a post-docking event that prepares secretory granules for fusion and is necessary to sustain exocytosis in response to insulin secretagogues.

Implementation of bayesian therapeutic drug monitoring in modern patient care

The variability observed in drug exposure has a direct impact on the overall response to drug. The largest part of variability between dose and drug response resides in the pharmacokinetic phase, i.e. in the dose-concentration relationship. Among possibilities offered to clinicians, Therapeutic Drug Monitoring (TDM; Monitoring of drug concentration measurements) is one of the useful tool to guide pharmacotherapy. TDM aims at optimizing treatments by individualizing dosage regimens based on blood drug concentration measurement. Bayesian calculations, relying on population pharmacokinetic approach, currently represent the gold standard TDM strategy. However, it requires expertise and computational assistance, thus limiting its large implementation in routine patient care. The overall objective of this thesis was to implement robust tools to provide Bayesian TDM to clinician in modern routine patient care. To that endeavour, aims were (i) to elaborate an efficient and ergonomic computer tool for Bayesian TDM: EzeCHieL (ii) to provide algorithms for drug concentration Bayesian forecasting and software validation, relying on population pharmacokinetics (iii) to address some relevant issues encountered in clinical practice with a focus on neonates and drug adherence. First, the current stage of the existing software was reviewed and allows establishing specifications for the development of EzeCHieL. Then, in close collaboration with software engineers a fully integrated software, EzeCHieL, has been elaborated. EzeCHieL provides population-based predictions and Bayesian forecasting and an easy-to-use interface. It enables to assess the expectedness of an observed concentration in a patient compared to the whole population (via percentiles), to assess the suitability of the predicted concentration relative to the targeted concentration and to provide dosing adjustment. It allows thus a priori and a posteriori Bayesian drug dosing individualization. Implementation of Bayesian methods requires drug disposition characterisation and variability quantification trough population approach. Population pharmacokinetic analyses have been performed and Bayesian estimators have been provided for candidate drugs in population of interest: anti-infectious drugs administered to neonates (gentamicin and imipenem). Developed models were implemented in EzeCHieL and also served as validation tool in comparing EzeCHieL concentration predictions against predictions from the reference software (NONMEM®). Models used need to be adequate and reliable. For instance, extrapolation is not possible from adults or children to neonates. Therefore, this work proposes models for neonates based on the developmental pharmacokinetics concept. Patients' adherence is also an important concern for drug models development and for a successful outcome of the pharmacotherapy. A last study attempts to assess impact of routine patient adherence measurement on models definition and TDM interpretation. In conclusion, our results offer solutions to assist clinicians in interpreting blood drug concentrations and to improve the appropriateness of drug dosing in routine clinical practice.

Store-operated Ca2+ Entry Mediated by Orai1 and TRPC1 Participates to Insulin Secretion in Rat β-Cells.

Store-operated Ca(2+) channels (SOCs) are voltage-independent Ca(2+) channels activated upon depletion of the endoplasmic reticulum Ca(2+) stores. Early studies suggest the contribution of such channels to Ca(2+) homeostasis in insulin-secreting pancreatic β-cells. However, their composition and contribution to glucose-stimulated insulin secretion (GSIS) remains unclear. In this study, endoplasmic reticulum Ca(2+) depletion triggered by acetylcholine (ACh) or thapsigargin stimulated the formation of a ternary complex composed of Orai1, TRPC1, and STIM1, the key proteins involved in the formation of SOCs. Ca(2+) imaging further revealed that Orai1 and TRPC1 are required to form functional SOCs and that these channels are activated by STIM1 in response to thapsigargin or ACh. Pharmacological SOCs inhibition or dominant negative blockade of Orai1 or TRPC1 using the specific pore mutants Orai1-E106D and TRPC1-F562A impaired GSIS in rat β-cells and fully blocked the potentiating effect of ACh on secretion. In contrast, pharmacological or dominant negative blockade of TRPC3 had no effect on extracellular Ca(2+) entry and GSIS. Finally, we observed that prolonged exposure to supraphysiological glucose concentration impaired SOCs function without altering the expression levels of STIM1, Orai1, and TRPC1. We conclude that Orai1 and TRPC1, which form SOCs regulated by STIM1, play a key role in the effect of ACh on GSIS, a process that may be impaired in type 2 diabetes.

Non-invasive quantification of brain glycogen absolute concentration.

The only currently available method to measure brain glycogen in vivo is 13C NMR spectroscopy. Incorporation of 13C-labeled glucose (Glc) is necessary to allow glycogen measurement, but might be affected by turnover changes. Our aim was to measure glycogen absolute concentration in the rat brain by eliminating label turnover as variable. The approach is based on establishing an increased, constant 13C isotopic enrichment (IE). 13C-Glc infusion is then performed at the IE of brain glycogen. As glycogen IE cannot be assessed in vivo, we validated that it can be inferred from that of N-acetyl-aspartate IE in vivo: After [1-13C]-Glc ingestion, glycogen IE was 2.2 +/- 0.1 fold that of N-acetyl-aspartate (n = 11, R(2) = 0.77). After subsequent Glc infusion, glycogen IE equaled brain Glc IE (n = 6, paired t-test, p = 0.37), implying isotopic steady-state achievement and complete turnover of the glycogen molecule. Glycogen concentration measured in vivo by 13C NMR (mean +/- SD: 5.8 +/- 0.7 micromol/g) was in excellent agreement with that in vitro (6.4 +/- 0.6 micromol/g, n = 5). When insulin was administered, the stability of glycogen concentration was analogous to previous biochemical measurements implying that glycogen turnover is activated by insulin. We conclude that the entire glycogen molecule is turned over and that insulin activates glycogen turnover.