Publications

1004 Publications visible to you, out of a total of 1004

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OBJECTIVES\backslashr\backslashnRecombinant human granulocyte colony-stimulating factor (rhG-CSF) is widely used as treatment for granulocytopaenia during cytotoxic chemotherapy; however, optimal scheduling of this pharmaceutical is unknown. Biomathematical models can help to pre-select optimal application schedules but precise pharmacokinetic properties of the pharmaceuticals are required at first. In this study, we have aimed to construct a pharmacokinetic model of G-CSF derivatives filgrastim and pegfilgrastim in mice.\backslashr\backslashnMETHODS\backslashr\backslashnHealthy CD-1 mice and those with cyclophosphamide-induced granulocytopaenia were studied after administration of filgrastim and pegfilgrastim in different dosing and timing schedules. Close meshed time series of granulocytes and G-CSF plasma concentrations were determined. An ordinary differential equations model of pharmacokinetics was constructed on the basis of known mechanisms of drug distribution and degradation.\backslashr\backslashnRESULTS\backslashr\backslashnPredictions of the model fit well with all experimental data for both filgrastim and pegfilgrastim. We obtained a unique parameter setting for all experimental scenarios. Differences in pharmacokinetics between filgrastim and pegfilgrastim can be explained by different estimates of model parameters rather than by different model mechanisms. Parameter estimates with respect to distribution and clearance of the drug derivatives are in agreement with qualitative experimental results.\backslashr\backslashnCONCLUSION\backslashr\backslashnDynamics of filgrastim and pegfilgrastim plasma levels can be explained by the same pharmacokinetic model but different model parameters. Beause of a strong clearance mechanism mediated by granulocytes, granulocytotic and granulocytopaenic conditions must be studied simultaneously to construct a reliable model. The pharmacokinetic model will be extended to a murine model of granulopoiesis under chemotherapy and G-CSF application.

Authors: Markus Scholz, Manuela Ackermann, Christoph Engel, Frank Emmrich, Markus Loeffler, Manja Kamprad

Date Published: 1st Dec 2009

Publication Type: Journal article

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OBJECTIVES\backslashr\backslashnThis study aims to compare pharmacokinetics and pharmacodynamics of pegfilgrastim, a pharmaceutical recombinant human granulocyte colony-stimulating factor (rhG-CSF), with that of a newly developed reagent, Maxy-G34. This comparison was performed using rat experiments and biomathematical modelling of granulopoiesis.\backslashr\backslashnMETHODS\backslashr\backslashnHealthy rats and those with cyclophosphamide-induced neutropenia were treated with either pegfilgrastim or Maxy-G34 under various schedules. Time courses of absolute neutrophil count (ANC) and G-CSF serum level were measured and we constructed a combined pharmacokinetic/pharmacodynamic model of both drugs. Neutropenic episodes were assessed by experimental data and model simulations.\backslashr\backslashnRESULTS\backslashr\backslashnBoth Pegfilgrastim and Maxy-G34 showed strong dose-dependent efficacy in reducing neutropenic episodes. However, time courses of ANC and G-CSF serum levels were markedly different. The biomathematical model showed good agreement with these data. We estimated that differences between the two drugs could be explained by lower bioavailability and reduced elimination of Maxy-G34. Based on the data and model interpolations, we estimated that Maxy-G34 is superior in reducing neutropenic episodes. Also, we predicted that G-CSF administration 48 h after cyclophosphamide would be superior to its administration after 2 or 24 h, for both derivatives.\backslashr\backslashnCONCLUSION\backslashr\backslashnMaxy-G34 is a highly potent drug for stimulation of neutrophil production in rats. By our modelling approach, we quantified differences between Maxy-G34 and pegfilgrastim, related to pharmacokinetic parameters. Model simulations can be used to estimate optimal dosing and timing options in the present preclinical rat model.

Authors: Markus Scholz, Christoph Engel, D. Apt, S. L. Sankar, E. Goldstein, Markus Loeffler

Date Published: 1st Dec 2009

Publication Type: Journal article

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BACKGROUND\backslashr\backslashnGenome-wide scans of hundreds of thousands of single-nucleotide polymorphisms (SNPs) have resulted in the identification of new susceptibility variants to common diseases and are providing new insights into the genetic structure and relationships of human populations. Moreover, genome-wide data can be used to search for signals of recent positive selection, thereby providing new insights into the genetic adaptations that occurred as modern humans spread out of Africa and around the world.\backslashr\backslashnMETHODOLOGY\backslashr\backslashnWe genotyped approximately 500,000 SNPs in 255 individuals (5 individuals from each of 51 worldwide populations) from the Human Genome Diversity Panel (HGDP-CEPH). When merged with non-overlapping SNPs typed previously in 250 of these same individuals, the resulting data consist of over 950,000 SNPs. We then analyzed the genetic relationships and ancestry of individuals without assigning them to populations, and we also identified candidate regions of recent positive selection at both the population and regional (continental) level.\backslashr\backslashnCONCLUSIONS\backslashr\backslashnOur analyses both confirm and extend previous studies; in particular, we highlight the impact of various dispersals, and the role of substructure in Africa, on human genetic diversity. We also identified several novel candidate regions for recent positive selection, and a gene ontology (GO) analysis identified several GO groups that were significantly enriched for such candidate genes, including immunity and defense related genes, sensory perception genes, membrane proteins, signal receptors, lipid binding/metabolism genes, and genes involved in the nervous system. Among the novel candidate genes identified are two genes involved in the thyroid hormone pathway that show signals of selection in African Pygmies that may be related to their short stature.

Authors: David López Herráez, Marc Bauchet, Kun Tang, Christoph Theunert, Irina Pugach, Jing Li, Madhusudan R. Nandineni, Arnd Gross, Markus Scholz, Mark Stoneking

Date Published: 18th Nov 2009

Publication Type: Journal article

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Genome-wide association studies of breast cancer have identified multiple single nucleotide polymorphisms (SNPs) that are associated with increased breast cancer risks in the general population. In a previous study, we demonstrated that the minor alleles at three of these SNPs, in FGFR2, TNRC9 and MAP3K1, also confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. Three additional SNPs rs3817198 at LSP1, rs13387042 at 2q35 and rs13281615 at 8q24 have since been reported to be associated with breast cancer in the general population, and in this study we evaluated their association with breast cancer risk in 9442 BRCA1 and 5665 BRCA2 mutation carriers from 33 study centres. The minor allele of rs3817198 was associated with increased breast cancer risk only for BRCA2 mutation carriers [hazard ratio (HR) = 1.16, 95% CI: 1.07-1.25, P-trend = 2.8 x 10(-4)]. The best fit for the association of SNP rs13387042 at 2q35 with breast cancer risk was a dominant model for both BRCA1 and BRCA2 mutation carriers (BRCA1: HR = 1.14, 95% CI: 1.04-1.25, P = 0.0047; BRCA2: HR = 1.18 95% CI: 1.04-1.33, P = 0.0079). SNP rs13281615 at 8q24 was not associated with breast cancer for either BRCA1 or BRCA2 mutation carriers, but the estimated association for BRCA2 mutation carriers (per-allele HR = 1.06, 95% CI: 0.98-1.14) was consistent with odds ratio estimates derived from population-based case-control studies. The LSP1 and 2q35 SNPs appear to interact multiplicatively on breast cancer risk for BRCA2 mutation carriers. There was no evidence that the associations vary by mutation type depending on whether the mutated protein is predicted to be stable or not.

Authors: Antonis C. Antoniou, Olga M. Sinilnikova, Lesley McGuffog, Sue Healey, Heli Nevanlinna, Tuomas Heikkinen, Jacques Simard, Amanda B. Spurdle, Jonathan Beesley, Xiaoqing Chen, Susan L. Neuhausen, Yuan C. Ding, Fergus J. Couch, Xianshu Wang, Zachary Fredericksen, Paolo Peterlongo, Bernard Peissel, Bernardo Bonanni, Alessandra Viel, Loris Bernard, Paolo Radice, Csilla I. Szabo, Lenka Foretova, Michal Zikan, Kathleen Claes, Mark H. Greene, Phuong L. Mai, Gad Rennert, Flavio Lejbkowicz, Irene L. Andrulis, Hilmi Ozcelik, Gord Glendon, Anne-Marie Gerdes, Mads Thomassen, Lone Sunde, Maria A. Caligo, Yael Laitman, Tair Kontorovich, Shimrit Cohen, Bella Kaufman, Efrat Dagan, Ruth Gershoni Baruch, Eitan Friedman, Katja Harbst, Gisela Barbany-Bustinza, Johanna Rantala, Hans Ehrencrona, Per Karlsson, Susan M. Domchek, Katherine L. Nathanson, Ana Osorio, Ignacio Blanco, Adriana Lasa, Javier Benítez, Ute Hamann, Frans B. L. Hogervorst, Matti A. Rookus, J. Margriet Collee, Peter Devilee, Marjolijn J. Ligtenberg, Rob B. van der Luijt, Cora M. Aalfs, Quinten Waisfisz, Juul Wijnen, Cornelis E. P. van Roozendaal, Susan Peock, Margaret Cook, Debra Frost, Clare Oliver, Radka Platte, D. Gareth Evans, Fiona Lalloo, Rosalind Eeles, Louise Izatt, Rosemarie Davidson, Carol Chu, Diana Eccles, Trevor Cole, Shirley Hodgson, Andrew K. Godwin, Dominique Stoppa-Lyonnet, Bruno Buecher, Mélanie Léoné, Brigitte Bressac-de Paillerets, Audrey Remenieras, Olivier Caron, Gilbert M. Lenoir, Nicolas Sevenet, Michel Longy, Sandra Fert Ferrer, Fabienne Prieur, David Goldgar, Alexander Miron, Esther M. John, Saundra S. Buys, Mary B. Daly, John L. Hopper, Mary Beth Terry, Yosuf Yassin, Christian Singer, Daphne Gschwantler-Kaulich, Christine Staudigl, Thomas v. O. Hansen, Rosa Bjork Barkardottir, Tomas Kirchhoff, Prodipto Pal, Kristi Kosarin, Kenneth Offit, Marion Piedmonte, Gustavo C. Rodriguez, Katie Wakeley, John F. Boggess, Jack Basil, Peter E. Schwartz, Stephanie V. Blank, Amanda E. Toland, Marco Montagna, Cinzia Casella, Evgeny N. Imyanitov, Anna Allavena, Rita K. Schmutzler, Beatrix Versmold, Christoph Engel, Alfons Meindl, Nina Ditsch, Norbert Arnold, Dieter Niederacher, Helmut Deissler, Britta Fiebig, Christian Suttner, Ines Schönbuchner, Dorothea Gadzicki, Trinidad Caldes, Miguel de La Hoya, Karen A. Pooley, Douglas F. Easton, Georgia Chenevix-Trench

Date Published: 15th Nov 2009

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

BACKGROUND: Research on prognostically relevant immunohistochemical markers in diffuse large B-cell lymphomas has mostly been performed on retrospectively collected clinical data. This is also true for immunohistochemical classifiers that are thought to reflect the cell-of-origin subclassification of gene expression studies. In order to obtain deeper insight into the heterogeneous prognosis of diffuse large B-cell lymphomas and to validate a previously published immunohistochemical classifier, we analyzed data from a large set of cases from prospective clinical trials with long-term follow-up. DESIGN AND METHODS: We performed morphological and extensive immunohistochemical analyses in 414 cases of diffuse large B-cell lymphoma from two prospective randomized clinical trials (NHL-B1/B2, Germany). Classification into germinal center and non-germinal center subtypes of B-cell lymphoma was based on the expression pattern of CD10, BCL6, and IRF4. Multivariate analyses were performed adjusting for the factors in the International Prognostic Index. RESULTS: Analyzing 20 different epitopes on tissue microarrays, expression of HLA-DR, presence of CD23(+) follicular dendritic cell meshworks, and monotypic light chain expression emerged as International Prognostic Index-independent markers of superior overall survival. Immunoblastic morphology was found to be related to poor event-free survival. The non-germinal center subtype, according to the three-epitope classifier (CD10, BCL6, and IRF4) did not have prognostic relevance when adjusted for International Prognostic Index factors (relative risk=1.2, p=0.328 for overall survival; and relative risk=1.1, p=0.644 for event-free survival). CONCLUSIONS: The previously reported International Prognostic Index-independent prognostic value of stratification into germinal center/non-germinal center B-cell lymphoma using the expression pattern of CD10, BCL6, and IRF4 was not reproducible in our series. However, other markers and the morphological subtype appear to be of prognostic value.

Authors: H. W. Bernd, M. Ziepert, C. Thorns, W. Klapper, H. H. Wacker, M. Hummel, H. Stein, M. L. Hansmann, G. Ott, A. Rosenwald, H. K. Muller-Hermelink, T. F. Barth, P. Moller, S. B. Cogliatti, M. Pfreundschuh, N. Schmitz, L. Trumper, S. Holler, M. Loffler, A. C. Feller

Date Published: 3rd Nov 2009

Publication Type: Not specified

Human Diseases: diffuse large B-cell lymphoma

Abstract (Expand)

Mutations in BRCA1 and BRCA2 are associated with increased breast cancer risk. While numerous non-synonymous SNPs in BRCA1/2 have been investigated for breast cancer risk, the impact of synonymous SNPs has not been studied so far. Recently, it has been reported that synonymous SNPs leading to an aberration from the preferred codon-usage can have functional effects and consequently be associated with disease. This motivated us to search for SNPs with the tendency to differential codon-usage in BRCA1/BRCA2. Based on defined criteria, two codon-usage-changing variants, Ser455Ser (1365A \textgreater G) and Ser2414Ser (7242A \textgreater G), were detected in BRCA2, whereas no such variant could be identified in BRCA1. We investigated the impact of these variants on breast cancer risk in a large case-control study. However, both SNPs, BRCA2 Ser2414Ser (7242A \textgreater G) and Ser455Ser (1365A \textgreater G), showed no association with breast cancer risk. This indicates that these codon-usage-changing SNPs have no major impact on familial breast cancer risk.

Authors: Rongxi Yang, Bowang Chen, Kari Hemminki, Barbara Wappenschmidt, Christoph Engel, Christian Sutter, Nina Ditsch, Bernhard H. F. Weber, Dieter Niederacher, Norbert Arnold, Alfons Meindl, Claus R. Bartram, Rita K. Schmutzler, Barbara Burwinkel

Date Published: 1st Nov 2009

Publication Type: Journal article

Human Diseases: hereditary breast ovarian cancer syndrome

Abstract (Expand)

OBJECTIVE\backslashr\backslashnRheumatoid arthritis (RA) is an inflammatory joint disease with features of an autoimmune disease with female predominance. Candidate genes located on the X-chromosome were selected for a family trio-based association study.\backslashr\backslashnMETHODS\backslashr\backslashnA total of 1452 individuals belonging to 3 different sample sets were genotyped for 16 single-nucleotide polymorphisms (SNP) in 7 genes. The first 2 sets consisted of 100 family trios, each of French Caucasian origin, and the third of 284 additional family trios of European Caucasian origin. Subgroups were analyzed according to sex of patient and presence of anti-cyclic citrullinated peptide (anti-CCP) autoantibodies.\backslashr\backslashnRESULTS\backslashr\backslashnFour SNP were associated with RA in the first sample set and were genotyped in the second set. In combined analysis of sets 1 and 2, evidence remained for association of 3 SNP in the genes UBA1, TIMP1, and IL9R. These were again genotyped in the third sample set. Two SNP were associated with RA in the joint analysis of all samples: rs6520278 (TIMP1) was associated with RA in general (p = 0.035) and rs3093457 (IL9R) with anti-CCP-positive RA patients (p = 0.037) and male RA patients (p = 0.010). A comparison of the results with data from whole-genome association studies further supports an association of RA with TIMPL The sex-specific association of rs3093457 (IL9R) was supported by the observation that men homozygous for rs3093457-CC are at a significantly higher risk to develop RA than women (risk ratio male/female = 2.98; p = 0.048).\backslashr\backslashnCONCLUSION\backslashr\backslashnWe provide evidence for an association of at least 2 X-chromosomal genes with RA: TIMP1 (rs6520278) and IL9R (rs3093457).

Authors: Jana Burkhardt, Elisabeth Petit-Teixeira, Vitor Hugo Teixeira, Holger Kirsten, Sophie Garnier, Sandra Ruehle, Christian Oeser, Grit Wolfram, Markus Scholz, Paola Migliorini, Alejandro Balsa, Renè Westhovens, Pilar Barrera, Helena Alves, Dora Pascual-Salcedo, Stefano Bombardieri, Jan Dequeker, Timothy R. Radstake, Piet van Riel, Leo van de Putte, Thomas Bardin, Bernard Prum, Ulrike Buchegger-Podbielski, Frank Emmrich, Inga Melchers, François Cornelis, Peter Ahnert

Date Published: 8th Oct 2009

Publication Type: Journal article

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