25 research outputs found

    Molecular Cloning and Characterization of a Human Mitochondrial Ceramidase

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    We have recently purified a rat brain membrane-bound nonlysosomal ceramidase (El Bawab, S., Bielawska, A., and Y. A. Hannun (1999) J. Biol. Chem. 274, 27948-27955). Using peptide sequences obtained from the purified rat brain enzyme, we report here the cloning of the human isoform. The deduced amino acid sequence of the protein did not show any similarity with proteins of known function but was homologous to three putative proteins from Arabidospis thaliana, Mycobacterium tuberculosis, and Dictyostelium discoideum. Several blocks of amino acids were highly conserved in all of these proteins. Analysis of the protein sequence revealed the presence at the N terminus of a signal peptide followed by a putative myristoylation site and a putative mitochondrial targeting sequence. The predicted molecular mass was 84 kDa, and the isoelectric point was 6.69, in agreement with rat brain purified enzyme. Northern blot analysis of multiple human tissues showed the presence of a major band corresponding to a size of 3.5 kilobase. Analysis of this major band on the blot indicated that the enzyme is ubiquitously expressed with higher levels in kidney, skeletal muscle, and heart. The enzyme was then overexpressed in HEK 293 and MCF7 cells using the pcDNA3. 1/His-ceramidase construct, and ceramidase activity (at pH 9.5) increased by 50- and 12-fold, respectively. Next, the enzyme was characterized using lysate of overexpressing cells. The results confirmed that the enzyme catalyzes the hydrolysis of ceramide in the neutral alkaline range and is independent of cations. Finally, a green fluorescent protein-ceramidase fusion protein was constructed to investigate the localization of this enzyme. The results showed that the green fluorescent protein-ceramidase fusion protein presented a mitochondrial localization pattern and colocalized with mitochondrial specific probes. These results demonstrate that this novel ceramidase is a mitochondrial enzyme, and they suggest the existence of a topologically restricted pathways of sphingolipid metabolism

    Modeling of radiation therapy and radiosensitizing agents in tumor xenografts

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    III-36\ua0Tim\ua0Cardilin\ua0Modeling of radiation therapy and radiosensitizing agents in tumor xenografts\ua0Tim Cardilin (1,2), Joachim Almquist (1), Mats Jirstrand (1), Astrid Zimmermann (3), Floriane Lignet (4), Samer El Bawab (4), and Johan Gabrielsson (5)(1) Fraunhofer-Chalmers Centre, Gothenburg, Sweden, (2) Department of Mathematical Sciences, Chalmers University of Technology and Gothenburg University, Gothenburg, Sweden, (3) Merck, Translational Innovation Platform Oncology, Darmstadt, Germany, (4) Merck, Global Early Development - Quantitative Pharmacology, Darmstadt, Germany, (5) Division of Pharmacology and Toxicology, Department of Biomedical Sciences and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, SwedenObjectives:\ua0To conceptually and mathematically describe the treatment effects of radiation and radiosensitizing agents on tumor volume in xenografts with respect to short- and long-term effects.Methods:\ua0Data were generated in FaDu xenograft mouse models, where animals were treated with radiation given either as monotherapy (2 Gy per dose) or together with an early-discovery radiosensitizing agent (25 or 100 mg/kg per dose) that interferes with the repair of the DNA damage induced by irradiation. Animals received treatment following a clinically-relevant administration schedule with doses five days a week for six weeks. Tumor diameters were measured by caliper twice a week for up to 140 days. A pharmacodynamic tumor model was adapted from a previously-published model [1,2]. The improved model captures both short- and long-term treatment effects including tumor eradication and tumor regrowth. Short-term radiation effects are described by allowing lethally irradiated cells up to one more cell division before apoptosis. Long-term radiation effects are described by an irreversible decrease in tumor growth rate. The radiosensitizing agent was assumed to stimulate both processes. The model also includes a natural death rate of cancer cells. The model was calibrated to the xenograft data using a mixed-effects approach based on the FOCE method that was implemented in Mathematica [3]. Between-subject variability was accounted for in initial tumor volume, as well as in the short- and long-term radiation effects.Results:\ua0Data across all treatment groups were well-described by the model. All model parameters were estimated with acceptable precision and biologically reasonable values. Vehicle growth was approximately exponential during the observed time period with an estimated tumor doubling time of approximately 5 days. Tumor growth following radiation therapy resulted in significant tumor regression followed by either tumor eradication (2 animals) or slow regrowth (7 animals). The short- and long-term effects incorporated into the tumor model were able to account for both of these scenarios. A simple analysis shows that if the tumor growth rate is decreased below the natural death rate, the tumor will be eradicated. Otherwise, the tumor will regrow but at a slower rate compared to pre-treatment. The model predicts that each fraction of radiation (2 Gy) results in lethal damage in 15 % of viable cells, and that a total dose above 120 Gy will eradicate the tumor. Tumor growth following combination therapy with a lower dose (25 mg/kg) resulted in more cases of tumor eradication (6 animals) and fewer cases of regrowth (3 animals), whereas combination therapy with the higher dose (100 mg/kg) resulted in tumor eradication in all 9 animals. When radiation therapy was complemented by radiosensitizing treatment (100 mg/kg per dose), each fraction of 2 Gy was estimated to kill 25 % of viable cells, and the total radiation dose required for tumor eradication was decreased by a factor four to 30 Gy.Conclusions:\ua0A tumor model has been developed to describe the treatment effects of radiation therapy, as well as combination therapies involving radiation, in tumor xenografts. The model distinguishes between short- and long-term effects of radiation treatment and can describe different tumor dynamics, including tumor eradication and tumor regrowth at different rates. The novel tumor model can be used to predict treatment outcomes for a broad range of treatments including radiation therapy and combination therapies with different radiosensitizing agents.References:\ua0[1] Cardilin T, Almquist J, Jirstrand M, Zimmermann A, El Bawab S, Gabrielsson J. Model-based evaluation of radiation and radiosensitizing agents in oncology. CPT: Pharmacometrics & Syst. Pharmacol.\ua0(2017).[2] Cardilin T, Zimmermann A, Jirstrand M, Almquist J, El Bawab S, Gabrielsson J. Extending the Tumor Static Concentration Curve to average doses – a combination therapy example using radiation therapy. PAGE 25 (2016) Abstr 5975 [www.page-meeting.org/?abstract=5975].[3] Almquist J, Leander J, Jirstrand M. Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood. J Pharmacokinet Pharmacodyn (2015) 42: 191-209

    Modeling long-term tumor growth and kill after combinations of radiation and radiosensitizing agents

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    Purpose: Radiation therapy, whether given alone or in combination with chemical agents, is one of the cornerstones of oncology. We develop a quantitative model that describes tumor growth during and after treatment with radiation and radiosensitizing agents. The model also describes long-term treatment effects including tumor regrowth and eradication. Methods: We challenge the model with data from a xenograft study using a clinically relevant administration schedule and use a mixed-effects approach for model-fitting. We use the calibrated model to predict exposure combinations that result in tumor eradication using Tumor Static Exposure (TSE). Results: The model is able to adequately describe data from all treatment groups, with the parameter estimates taking biologically reasonable values. Using TSE, we predict the total radiation dose necessary for tumor eradication to be 110\ua0Gy, which is reduced to 80 or 30\ua0Gy with co-administration of 25 or 100\ua0mg\ua0kg\ua0−1\ua0of a radiosensitizer. TSE is also explored via a heat map of different growth and shrinkage rates. Finally, we discuss the translational potential of the model and TSE concept to humans. Conclusions: The new model is capable of describing different tumor dynamics including tumor eradication and tumor regrowth with different rates, and can be calibrated using data from standard xenograft experiments. TSE and related concepts can be used to predict tumor shrinkage and eradication, and have the potential to guide new experiments and support translations from animals to humans

    RÎle des gangliosides dans les perturbations de la prolifération des péricytes rétiniens et des cellules mésangiales rénales (implication dans le développement de la rétinopathie et de la néphropathie diabétiques)

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    La perte des pĂ©ricytes rĂ©tiniens est une des premiĂšres altĂ©rations de la rĂ©tinopathie diabĂ©tique. L'arrĂȘt du cycle cellulaire, l'hypertrophie puis la disparition des cellules mĂ©sangiales rĂ©nales sont des caractĂ©ristiques typiques de la nĂ©phropathie diabĂ©tique. La voie de la glycation (formation des produits avancĂ©s de glycation ou AGE) et la voie de l'hexosamine sont deux hypothĂšses biochimiques proposĂ©es pour expliquer les altĂ©rations cellulaires des microcomplications du diabĂšte. D'autre part, bien que les gangliosides aient souvent Ă©tĂ© dĂ©crits pour moduler la prolifĂ©ration cellulaire, leur rĂŽle potentiel dans les perturbations de prolifĂ©ration caractĂ©ristiques de la rĂ©tinopathie et de la nĂ©phropathie diabĂ©tiques a Ă©tĂ© trĂšs peu Ă©tudiĂ©. L'objectif de ce travail de thĂšse a Ă©tĂ© de dĂ©terminer les effets des AGE et d'une activation de la voie de l'hexosamine, mimĂ©e par la glucosamine, sur la prolifĂ©ration et le mĂ©tabolisme des gangliosides des pĂ©ricytes et de cellules mĂ©sangiales puis d'Ă©tablir l'implication des gangliosides dans ces processus de rĂ©gulation de la prolifĂ©ration. Nos rĂ©sultats ont montrĂ© que les AGE et la glucosamine inhibent la prolifĂ©ration des deux types cellulaires Ă©tudiĂ©s. De plus, ils ont rĂ©vĂ©lĂ© que la glucosamine bloque le cycle cellulaire et induit l'hypertrophie des cellules mĂ©sangiales. D'autre part, les AGE comme la glucosamine sont capables de modifier le profil en gangliosides des cellules, en modulant les activitĂ©s de leurs enzymes de biosynthĂšse. Enfin, nos observations suggĂšrent que les gangliosides sont impliquĂ©s dans l'inhibition de la prolifĂ©ration et l'hypertrophie causĂ©e par les AGE et la glucosamine dans les pĂ©ricytes et les cellules mĂ©sangiales. Elles prĂ©sentent ainsi les gangliosides comme un nouveau mĂ©canisme d'action des AGE et de la voie de l'hexosamine et permettent de proposer les gangliosides, en particulier ceux de la sĂ©rie-a, et la GM3 synthase, comme un mĂ©canisme potentiel commun au dĂ©veloppement de la rĂ©tinopathie et de la nĂ©phropathie diabĂ©tiques. Ce travail est un des premiers Ă  suggĂ©rer l'implication des gangliosides dans les complications microvasculaires du diabĂšte que sont la rĂ©tinopathie et la nĂ©phropathie diabĂ©tiques. Par l'intermĂ©diaire des gangliosides, il ouvre des perspectives thĂ©rapeutiques nouvelles et communes pour le traitement des deux microcomplications.Loss of retinal pericyte is one of the earliest alteration of diabetic retinopathy. Cell cycle arrest, hypertrophy then death of renal mesangial cells are typical hallmarks of diabetic nephropathy. Glycation (advanced glycation end-products, AGE, formation) and the hexosamine pathway are two biochemical hypotheses proposed to explain cellular alteration occurring during diabetic vascular complication. On the other hand, although gangliosides have often been described as modulators of cellular proliferation, very few studies have explored their potential role in cell proliferation alteration of diabetic retinopathy and nephropathy. The aim of the present study was to determine the effects of AGE and hexosamine pathway activation, mimicked by glucosamine, on pericyte and mesangial cell proliferation and ganglioside metabolism and then to establish the implication of gangliosides in these regulation of proliferation process. Our result showed that AGE and glucosamine inhibit the proliferation of both cell types studied. Moreover, they revealed that glucosamine blocks the cell cycle and induces hypertrophy of mesangial cells. On the other hand, both AGE and glucosamine are able to affect cellular ganglioside profile by modulating their biosynthetic enzyme activities. Finally, our observations suggested that gangliosides are implicated in the inhibition of cell proliferation and hypertrophy caused by AGE and glucosamine in pericyte and mesangial cells. Thus, they present gangliosides as a novel mechanism of action of AGE and the hexosamine pathway and lead to propose gangliosides, especially a-series gangliosides and GM3 synthase, as a potential common mechanism of diabetic retinopathy and nephropathy development. This work is one of the first suggesting the implication of gangliosides in diabetic retinopathy and nephropathy. Through gangliosides, it offers new therapeutic prospects common to both microvascular complications.VILLEURBANNE-DOC'INSA LYON (692662301) / SudocSudocFranceF

    RÎle des sphingolipides endogÚnes dans les modifications de la prolifération des cellules mésangiales rénales en réponse aux produits avancés de glycation (AGE) (implication dans le développement de la néphropathie diabétique)

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    Les modifications de prolifĂ©ration (hyperplasie, arrĂȘt du cycle cellulaire, et hypertrophie), sont associĂ©es Ă  de nombreuses pathologies touchant le glomĂ©rule rĂ©nal, et sont des caractĂ©ristiques typiques de la nĂ©phropathie diabĂ©tique. La voie de la glycation (formation des produits avancĂ©s de glycation ou AGE) constitue une hypothĂšse biochimique majeure Ă©voquĂ©e dans ce type d'altĂ©rations cellulaires liĂ©es aux complications microvasculaires du diabĂšte. D'autre part, bien que les sphingolipides, notamment les cĂ©ramides, sphingosine, et sphingosine-1-phosphate aient souvent Ă©tĂ© dĂ©crits pour intervenir dans la rĂ©gulation de la croissance cellulaire, leur rĂŽle potentiel dans les perturbations de prolifĂ©ration caractĂ©ristiques de la nĂ©phropathie diabĂ©tique n'a quasiment pas Ă©tĂ© Ă©tudiĂ©. L'objectif de ce travail de thĂšse a Ă©tĂ© de dĂ©terminer les effets des AGE sur la prolifĂ©ration et le mĂ©tabolisme des sphingolipdies des cellules mĂ©sangiales de rat en culture (RMC), puis de dĂ©finir et prĂ©ciser l'implication des sphingolipides dans ces processus de rĂ©gulation de la prolifĂ©ration. Une approche ex vivo dans des modĂšles d'animaux diabĂ©tiques a par ailleurs Ă©tĂ© dĂ©veloppĂ©e afin d'appuyer ces hypothĂšses dans un contexte de nĂ©phropathie diabĂ©tique. Nos rĂ©sultats ont montrĂ© que les AGE, par une interaction spĂ©cifique avec le rĂ©cepteur RAGE exprimĂ© par les RMC, modulent de façon bimodale la prolifĂ©ration de ces cellules. Ainsi, les AGE induisent une activation de prolifĂ©ration Ă  faibles concentrations (<1 M), et inhibent au contraire la croissance des RMC Ă  plus fortes concentrations (3-10 M). D'autre part, les AGE se sont rĂ©vĂ©lĂ©s capables de moduler, de façon bimodale lĂ  encore, le mĂ©tabolisme de conversion des cĂ©ramides, en augmentant -Ă  faibles concentrations- ou inhibant -Ă  fortes concentrations- notamment l'activitĂ© et ou/l'expression de deux enzymes, la cĂ©ramidase et la sphingosine-kinase. Du jeu de ces modulations enzymatiques rĂ©sulte l'accumulation de dĂ©rivĂ©s sphingolipidiques du cĂ©ramide. Les faibles concentrations d'AGE induisent la production de sphingosine-1-phosphate aux effets pro-mitogĂ©niques, les fortes concentrations, au contraire, l'accumulation de glycosphingolipides et de sphingosine, capables d'inhiber la prolifĂ©ration des RMC.Enfin, nos expĂ©riences dans des modĂšles animaux (rat STZ) suggĂšrent qu'une variation du mĂ©tabolisme des sphingolipides participant Ă  l'accumulation locale de sphingosine-1-phosphate est impliquĂ©e dans l'augmentation de la prolifĂ©ration des cellules mĂ©sangiales glomĂ©rulaires apparaissant transitoirement in vivo dans les premiers stades de la nĂ©phropathie diabĂ©tique.Ce travail est un des premiers Ă  suggĂ©rer l'implication des sphingolipides comme un nouveau mĂ©diateur de l'action des AGE dans les cellules mesangiales, et permet de proposer la production des diffĂ©rents sphingolipides rĂ©sultant notamment de la modulation des cĂ©ramidases et sphingosine kinase, comme un mĂ©canisme potentiel participant au dĂ©veloppement de la nĂ©phropathie diabĂ©tique.Advanced glycation end products (AGE) are generated by chronic hyperglycaemia and may cause cellular alteration leading to microvascular complications such as diabetic nephropathy (DN). Disregulation of mesangial cell proliferation is known to contribute to the development of DN. In this study, we investigated the effects of AGE on rat mesangial cells (RMC) proliferation. In addition, because sphingolipids (SPL), and in particular ceramide (Cer), sphingosine (Sph), and sphingosine-1-phosphate (S1P) play important roles in the regulation of cell proliferation and cell death, we evaluated the involvement of SPL metabolism in the AGE response. On the other hand, ex vivo experiments using the streptozotocin (STZ)-diabetic rat model were undertaken in order to investigate the pathophysiological relevance of the cell studies results in the context of diabetic nephropathy. Our results showed that AGE induce bimodal effects on mesangial cells proliferation through a specific interaction with their receptor RAGE. Thus, after 72 h of treatment, low AGE concentrations (<1 M) induced a significant increase of RMC proliferation, whereas higher AGE concentrations (3-10 M) markedly reduced it. In parallel, AGE exerted biphasic effects on biosynthetic enzymes activities and/or expression, namely neutral ceramidase and sphingosine-kinase. Low AGE concentrations induced neutral ceramidase and sphingosine-kinase activation, whereas high AGE concentrations inhibited both activities. Surprisingly, neutral ceramidase activity inhibition by AGE did not result in changes of Cer levels. However, the AGE (10 M)-inhibitory effect on RMC proliferation was accompained by increased sphingosine levels and was specifically prevented by blocking glucosylceramide synthesis, suggesting that Sph and/or glycolipids are involved in mediating the effects of AGE at high concentrations. On the other hand, treatment of cells with low AGE concentrations led to an increase of S1P production, presumably associated to the observed activation of neutral ceramidase and sphingosine kinase. Taken together, these results show that AGE regulate mesangial cell growth by modulating Cer conversion into other bioactive SPL, namely, S1P, Sph, and glycolipids. On the other hand, our ex vivo observations on STZ-diabetic rats supported our cell studies results and suggested that glomerular S1P accumulation is likely implicated in the early and transient promotion of mesangial cells proliferation during the very early stages of diabetic nephropathy. In conclusion, our results present SPL metabolism as a novel mechanism of action of AGE. Further, this work is one of the first to propose SPL metabolism, especially regulation of S1P and Sph/glycosphingolipides levels as a potential mechanism involved in the development of diabetic nephropathy.VILLEURBANNE-DOC'INSA LYON (692662301) / SudocSudocFranceF

    Extending the Tumor Static Concentration curve to average doses - a combination therapy example using radiation therapy

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    Objectives: The recently developed concept of Tumor Static Concentration (TSC) is a valuable modeling tool for the quantitative analysis of combination therapies [2]. Here, we set out to extend TSC to situations where (average) doses are known but drug exposure data is not available.Methods: Data consisted of Patient-Derived xenografts from combination therapy studies using ionizing radiation and a probe compound. Modelling was based on a Tumor Growth Inhibition (TGI) model [3] modified for radiation treatment. Model parameters were estimated using a mixed-effects approach implemented in Mathematica 10 [1]. A TSC-like curve was derived from tumor stasis assumptions where one of the plasma concentrations was replaced with average radiation dose over time.Results: Drug exposure of the probe compound was successfully modeled using a one compartment exposure model. Initial attempts to model the combination efficacy data were not able to explain the effect from the combination arm. The TGI model was subsequently modified to account for potential interaction effects between the probe compound and radiation treatments. The radiation treatment-modified TGI model was then used to derive a TSC-like curve that determines all pairs of radiation doses and drug concentrations for which the tumor is kept in stasis. This curve exhibits significant curvature, reflecting the synergistic effects of administering the radiation therapy and drug together. The TSC-like curve can be used to improve the administration schedule of the treatment.Conclusions: A model-based method for evaluation of anticancer combination therapy was extended from the use of tumor static plasma concentrations to also include average drug doses. Although used for radiation therapy in this example, the method can also be applied for regular compounds when drug exposure data is not available
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