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- Darwich, Adam S., et al.
(author)
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IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 3 : Identifying gaps in system parameters by analysing In Silico performance across different compound classes
- 2017
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In: European Journal of Pharmaceutical Sciences. - : Elsevier BV. - 0928-0987 .- 1879-0720. ; 96, s. 626-642
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Journal article (peer-reviewed)abstract
- Three Physiologically Based Pharmacokinetic software packages (GI-Sim, Simcyp (R) Simulator, and GastroPlus (TM)) were evaluated as part of the Innovative Medicine Initiative Oral Biopharmaceutics Tools project (OrBiTo) during a blinded "bottom-up" anticipation of human pharmacokinetics. After data analysis of the predicted vs. measured pharmacokinetics parameters, it was found that oral bioavailability (F-oral) was underpredicted for compounds with low permeability, suggesting improper estimates of intestinal surface area, colonic absorption and/or lack of intestinal transporter information. Foralwas also underpredicted for acidic compounds, suggesting overestimation of impact of ionisation on permeation, lack of information on intestinal transporters, or underestimation of solubilisation of weak acids due to less than optimal intestinal model pH settings or underestimation of bile micelle contribution. F-oral was overpredicted for weak bases, suggesting inadequate models for precipitation or lack of in vitro precipitation information to build informed models. Relative bioavailability was underpredicted for both high logP compounds as well as poorly water-soluble compounds, suggesting inadequate models for solubility/dissolution, underperforming bile enhancement models and/or lack of biorelevant solubility measurements. These results indicate areas for improvement in model software, modelling approaches, and generation of applicable input data. However, caution is required when interpreting the impact of drug-specific properties in this exercise, as the availability of input parameters was heterogeneous and highly variable, and the modellers generally used the data "as is" in this blinded bottom-up prediction approach.
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| 4. |
- Margolskee, Alison, et al.
(author)
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IMI - Oral biopharmaceutics tools project - Evaluation of bottom-up PBPK prediction success part 2 : An introduction to the simulation exercise and overview of results
- 2017
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In: European Journal of Pharmaceutical Sciences. - : Elsevier BV. - 0928-0987 .- 1879-0720. ; 96, s. 610-625
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Journal article (peer-reviewed)abstract
- Orally administered drugs are subject to a number of barriers impacting bioavailability (F-oral), causing challenges during drug and formulation development. Physiologically-based pharmacokinetic (PBPK) modelling can help during drug and formulation development by providing quantitative predictions through a systems approach. The performance of three available PBPK software packages (GI-Sim, Simcyp (R), and GastroPlus (TM)) were evaluated by comparing simulated and observed pharmacokinetic (PK) parameters. Since the availability of input parameters was heterogeneous and highly variable, caution is required when interpreting the results of this exercise. Additionally, this prospective simulation exercise may not be representative of prospective modelling in industry, as API information was limited to sparse details. 43 active pharmaceutical ingredients (APIs) from the OrBiTo database were selected for the exercise. Over 4000 simulation output files were generated, representing over 2550 study arm-institution-software combinations and approximately 600 human clinical study arms simulated with overlap. 84% of the simulated study arms represented administration of immediate release formulations, 11% prolonged or delayed release, and 5% intravenous (i.v.). Higher percentages of i.v. predicted area under the curve (AUC) were within two-fold of observed (52.9%) compared to per oral (p.o.) (37.2%), however, F-oral and relative AUC (F-rel) between p.o. formulations and solutions were generally well predicted (64.7% and 75.0%). Predictive performance declined progressing from i.v. to solution and immediate release tablet, indicating the compounding error with each layer of complexity. Overall performance was comparable to previous large-scale evaluations. A general overprediction of AUC was observed with average fold error (AFE) of 1.56 over all simulations. AFE ranged from 0.0361 to 64.0 across the 43 APIs, with 25 showing overpredictions. Discrepancies between software packages were observed for a few APIs, the largest being 606, 171, and 81.7-fold differences in AFE between SimCYP and GI-Sim, however average performance was relatively consistent across the three software platforms.
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| 5. |
- Makela, JS, et al.
(author)
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Observations of mesoscale auroral plasma cavity crossings with the Freja satellite
- 1998
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In: JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS. - : AMER GEOPHYSICAL UNION. ; 103:A5, s. 9391-9404
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Journal article (other academic/artistic)abstract
- We have used data from the Freja satellite, with an apogee of 1700 km over the auroral oval, to make a statistical analysis of mesoscale auroral plasma density cavities. Such cavities are defined to be regions in the auroral zone with size scales between
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| 6. |
- Shaw, BE, et al.
(author)
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The importance of HLA-DPB1 in unrelated donor hematopoietic cell transplantation
- 2007
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In: Blood. - : American Society of Hematology. - 0006-4971 .- 1528-0020. ; 110:13, s. 4560-4566
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Journal article (peer-reviewed)abstract
- Hematopoietic cell transplantation (HCT) from an HLA-A, HLA-B, HLA-C, HLA-DRB1, and HLA-DQB1 allele–matched unrelated donor is a well-recognized life-saving treatment modality for patients with hematologic disorders. The morbidity and mortality from clinically significant acute graft-versus-host disease (aGVHD) remains a limitation. The extent to which transplantation outcome may be improved with donor matching for HLA-DP is not well defined. The risks of aGVHD, relapse, and mortality associated with HLA-DPB1 allele mismatching were determined in 5929 patients who received a myeloablative HCT from an HLA-A–, HLA-B–, HLA-C–, HLA-DRB1–, and HLA-DQB1–matched or –mismatched donor. There was a statistically significantly higher risk of both grades 2 to 4 aGVHD (odds ratio [OR] = 1.33; P < .001) and grades 3 to 4 aGVHD (OR = 1.26; P < .001) after HCT from an HLA-DPB1–mismatched donor compared with a matched donor. The increased risk of aGVHD was accompanied by a statistically significantly decrease in disease relapse (hazard ratio [HR] = 0.82; P = .01). HLA-DPB1 functions as a classical transplantation antigen. The increased risk of GVHD associated with HLA-DPB1 mismatching is accompanied by a lower risk of relapse. Knowledge of the DPB1 matching status prior to transplantation will aid in more precise risk stratification for the individual patient.
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