0000000001262792

AUTHOR

Alfredo García-arieta

showing 16 related works from this author

Exploring Bioequivalence of Dexketoprofen Trometamol Drug Products with the Gastrointestinal Simulator (GIS) and Precipitation Pathways Analyses

2019

The present work aimed to explain the differences in oral performance in fasted humans who were categorized into groups based on the three different drug product formulations of dexketoprofen trometamol (DKT) salt&mdash

liquid–liquid phase separationSALT DISPROPORTIONATIONgastrointestinal absorptionSodiumlcsh:RS1-441Pharmaceutical ScienceExcipientchemistry.chemical_elementSalt (chemistry)Hydrochloric acidSOLUBILITYCalciumBioequivalenceArticlelcsh:Pharmacy and materia medicachemistry.chemical_compoundFLUIDSEMAoral absorptionABSORPTIONmedicinePharmacology & PharmacySUPERSATURATED SOLUTIONSdexketoprofenSimulationchemistry.chemical_classificationScience & TechnologyChemistryliquid-liquid phase separationPhosphateDexketoprofenSIMILARITIESgastrointestinal simulatorin vitro dissolutionIN-VITRO DISSOLUTIONLife Sciences & BiomedicineVIVO DISSOLUTIONMETHODOLOGYmicroscopy imagingmedicine.drugPharmaceutics
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Erratum: Mangas-Sanjuán, V.; et al. Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the De…

2020

Demonstration of similar microstructure is essential for demonstrating the equivalence of generic topical products since the microstructure of semisolids may affect the drug release. The objective of this study was to compare the microstructure-defining physical parameters of different batches of a reference ointment containing calcipotriol and betamethasone (Daivobet 50 µg/0.5 mg/g) in order to define the acceptance range that allows concluding equivalence between these batches. Being batches of the same reference product, they are expected to be clinically equivalent and possess similar microstructure. The 90% confidence intervals for the test/reference ratio of these physical parameters …

lcsh:Pharmacy and materia medican/aPublished ErratumPharmaceutical ScienceThermodynamicsPharmaceuticslcsh:RS1-441ErratumMicrostructureEquivalence (measure theory)MathematicsPharmaceutics
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Current Evidence, Challenges, and Opportunities of Physiologically Based Pharmacokinetic Models of Atorvastatin for Decision Making

2021

Atorvastatin (ATS) is the gold-standard treatment worldwide for the management of hypercholesterolemia and prevention of cardiovascular diseases associated with dyslipidemia. Physiologically based pharmacokinetic (PBPK) models have been positioned as a valuable tool for the characterization of complex pharmacokinetic (PK) processes and its extrapolation in special sub-groups of the population, leading to regulatory recognition. Several PBPK models of ATS have been published in the recent years, addressing different aspects of the PK properties of ATS. Therefore, the aims of this review are (i) to summarize the physicochemical and pharmacokinetic characteristics involved in the time-course o…

Physiologically based pharmacokinetic modellingModel predictionAtorvastatinPopulationPharmaceutical ScienceReviewTarget populationComputational biologyP-glycoprotein030226 pharmacology & pharmacy03 medical and health sciencesPharmacy and materia medica0302 clinical medicinePharmacokineticsmedicineopen acid formeducationeducation.field_of_studybusiness.industrysolubilityatorvastatinactive metabolitesRS1-441lactonizationDose optimizationMetabolic enzymes030220 oncology & carcinogenesisbusinessmedicine.drugPharmaceutics
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Estimators and confidence intervals of f2 using bootstrap methodology for the comparison of dissolution profiles

2021

Abstract Background and objectives: The most widely used method to compare dissolution profiles is the similarity factor f 2 . When this method is not applicable, the confidence interval of f 2 using bootstrap methodology has been recommended instead. As neither details of the estimator nor the types of confidence intervals are described in the guidelines, the suitability of five estimators and fourteen types of confidence intervals were investigated in this study by simulation. Methods: One million individual dissolution profiles were simulated for the reference and test populations with predefined target population f 2 values, where random samples of different sizes were drawn without rep…

PercentileSimilarity (network science)Sample size determinationStatisticsStatistical inferenceEstimatorHealth InformaticsPoint estimationExpected valueSoftwareConfidence intervalComputer Science ApplicationsMathematicsComputer Methods and Programs in Biomedicine
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Computer simulations for bioequivalence trials: Selection of analyte in BCS class II and IV drugs with first-pass metabolism, two metabolic pathways …

2018

A semi-physiological two compartment pharmacokinetic model with two active metabolites (primary (PM) and secondary metabolites (SM)) with saturable and non-saturable pre-systemic efflux transporter, intestinal and hepatic metabolism has been developed. The aim of this work is to explore in several scenarios which analyte (parent drug or any of the metabolites) is the most sensitive to changes in drug product performance (i.e. differences in in vivo dissolution) and to make recommendations based on the simulations outcome. A total of 128 scenarios (2 Biopharmaceutics Classification System (BCS) drug types, 2 levels of KM Pgp, in 4 metabolic scenarios at 2 dose levels in 4 quality levels of t…

AnalyteCmaxPharmaceutical ScienceAdministration Oral02 engineering and technologyEquivalence Trials as TopicPharmacologyBioequivalence030226 pharmacology & pharmacyModels Biological03 medical and health sciencesFirst pass effect0302 clinical medicinePharmacokineticsHumansComputer SimulationPharmacokineticsIntestinal MucosaBiotransformationChemistryMembrane Transport Proteins021001 nanoscience & nanotechnologyBiopharmaceutics Classification SystemNONMEMNonlinear DynamicsPharmaceutical PreparationsSolubilityTherapeutic EquivalencyResearch DesignArea Under CurveLinear Models0210 nano-technologyMonte Carlo MethodDrug metabolismEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Semi-physiologic model validation and bioequivalence trials simulation to select the best analyte for acetylsalicylic acid

2015

Abstract The objective of this paper is to apply a previously developed semi-physiologic pharmacokinetic model implemented in NONMEM to simulate bioequivalence trials (BE) of acetyl salicylic acid (ASA) in order to validate the model performance against ASA human experimental data. ASA is a drug with first-pass hepatic and intestinal metabolism following Michaelis–Menten kinetics that leads to the formation of two main metabolites in two generations (first and second generation metabolites). The first aim was to adapt the semi-physiological model for ASA in NOMMEN using ASA pharmacokinetic parameters from literature, showing its sequential metabolism. The second aim was to validate this mod…

AnalyteChemistry PharmaceuticalMetaboliteCmaxPharmaceutical ScienceBioequivalencePharmacologyModels BiologicalBiomarkers PharmacologicalFirst pass effectchemistry.chemical_compoundPharmacokineticsIn vivoHumansMedicineComputer SimulationTissue DistributionBiotransformationChromatographyAspirinDose-Response Relationship Drugbusiness.industryHippuratesAnti-Inflammatory Agents Non-SteroidalNONMEMDrug LiberationTherapeutic EquivalencychemistryPharmacology ClinicalSalicylic AcidbusinessAlgorithmsSoftwareEuropean Journal of Pharmaceutical Sciences
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In silicoprediction of drug dissolution and absorption with variation in intestinal pH for BCS class II weak acid drugs: ibuprofen and ketoprofen

2012

The FDA Biopharmaceutical Classification System guidance allows waivers for in vivo bioavailability and bioequivalence studies for immediate-release solid oral dosage forms only for BCS class I. Extensions of the in vivo biowaiver for a number of drugs in BCS class III and BCS class II have been proposed, in particular, BCS class II weak acids. However, a discrepancy between the in vivo BE results and in vitro dissolution results for BCS class II acids was recently observed. The objectives of this study were to determine the oral absorption of BCS class II weak acids via simulation software and to determine if the in vitro dissolution test with various dissolution media could be sufficient …

PharmacologyKetoprofenChromatographyChemistryPharmaceutical ScienceGeneral MedicineBioequivalenceIbuprofenDosage formBioavailabilitymedicinePharmacology (medical)Dissolution testingSolubilityDissolutionmedicine.drugBiopharmaceutics & Drug Disposition
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Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the Demonstration of Equivalence

2019

Demonstration of similar microstructure is essential for demonstrating the equivalence of generic topical products since the microstructure of semisolids may affect the drug release. The objective of this study was to compare the microstructure-defining physical parameters of different batches of a reference ointment containing calcipotriol and betamethasone (Daivobet 50 &micro

microstructureequivalencelcsh:RS1-441Pharmaceutical Sciencegeneric semisolid formulation02 engineering and technology030226 pharmacology & pharmacyDosage formArticlelcsh:Pharmacy and materia medica03 medical and health sciences0302 clinical medicinetopical drugStatisticsinter-batch variabilityEquivalence (measure theory)Parametric statisticsMathematics021001 nanoscience & nanotechnologyMicrostructureConfidence intervalReference productSample size determinationDrug releaserheology0210 nano-technologyPharmaceutics
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Influence of Inter- and Intra-Batch Variability on the Sample Size Required for Demonstration of Equivalent Microstructure of Semisolid Dosage Forms

2020

Inter- and intra-batch variability of the quality attributes contribute to the uncertainty for demonstrating equivalent microstructure of post-approval changes and generic/hybrids of semisolid topical products. Selecting a representative sample size to describe accurately the in vitro properties of semisolids and to reach enough statistical power to demonstrate similarity between two semisolid topical products is currently challenging. The objective of this work is to establish the number of batches and units per batch to be compared based on different inter-batch and intra-batch variability to demonstrate equivalence in the physical characteristics of the products that ensure a similar mic…

Manufacturing processlcsh:RS1-441Pharmaceutical ScienceMicrostructureEquivalenceArticleStatistical powerDosage formIntra-batch variabilitylcsh:Pharmacy and materia medicaSample size determinationInter-batch variabilityBiological systemTopical productsMathematicsPharmaceutics
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Candesartan Cilexetil In Vitro-In Vivo Correlation: Predictive Dissolution as a Development Tool

2020

[EN] The main objective of this investigation was to develop an in vitro-in vivo correlation (IVIVC) for immediate release candesartan cilexetil formulations by designing an in vitro dissolution test to be used as development tool. The IVIVC could be used to reduce failures in future bioequivalence studies. Data from two bioequivalence studies were scaled and combined to obtain the dataset for the IVIVC. Two-step and one-step approaches were used to develop the IVIVC. Experimental solubility and permeability data confirmed candesartan cilexetil. Biopharmaceutic Classification System (BCS) class II candesartan average plasma profiles were deconvoluted by the Loo-Riegelman method to obtain th…

Chromatographygenetic structuresChemistryPharmaceutical Sciencelcsh:RS1-441Time scalingBioequivalenceBCSArticleCandesartan cilexetillcsh:Pharmacy and materia medicaCandesartanIVIVCIn vivomedicinePredictive in vivo-dissolutionIn vitro in vivoSolubilityIVIVCDissolutionmedicine.drugBioequivalence
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Defining level A IVIVC dissolution specifications based on individual in vitro dissolution profiles of a controlled release formulation.

2018

Regulatory guidelines recommend that, when a level A IVIVC is established, dissolution specification should be established using averaged data and the maximum difference between AUC and Cmax between the reference and test formulations cannot be greater than 20%. However, averaging data assumes a loss of information and may reflect a bias in the results. The objective of the current work is to present a new approach to establish dissolution specifications using a new methodology (individual approach) instead of average data (classical approach). Different scenarios were established based on the relationship between in vitro-in vivo dissolution rate coefficient using a level A IVIVC of a cont…

In vitro dissolutionCmaxPharmaceutical Science02 engineering and technologyBioequivalence021001 nanoscience & nanotechnology030226 pharmacology & pharmacyControlled releaseModels Biological03 medical and health sciencesDrug Liberation0302 clinical medicineIVIVCTherapeutic EquivalencyDelayed-Action PreparationsMaximum differenceRange (statistics)Computer Simulation0210 nano-technologyBiological systemDissolutionMonte Carlo MethodMathematicsTabletsEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Computer simulations for bioequivalence trials: selection of analyte in BCS drugs with first-pass metabolism and two metabolic pathways.

2010

The objective of this work is to use a computer simulation approach to define the most sensitive analyte for in vivo bioequivalence studies of all types of Biopharmaceutics Classification System (BCS) drugs undergoing first-pass hepatic metabolism with two metabolic pathways. A semi-physiological model was developed in NONMEM VI to simulate bioequivalence trials. Four BCS classes (from Class I to IV) of drugs, with three possible saturation scenarios (non-saturation, saturation and saturation of only the major route of metabolism), two (high or low) dose schemes, and six types of pharmaceutical quality for the drug products were simulated. The number of investigated scenarios was 144 (4 × 3…

DrugAnalyteChemistrymedia_common.quotation_subjectMetabolitePharmaceutical SciencePharmacologyBioequivalenceBiopharmaceutics Classification SystemModels BiologicalNONMEMBiopharmaceuticschemistry.chemical_compoundPharmacokineticsPharmaceutical PreparationsTherapeutic EquivalencyArea Under CurveComputer SimulationDrug metabolismAlgorithmsMetabolic Networks and Pathwaysmedia_commonEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Validation of a semi-physiological model for caffeine in healthy subjects and cirrhotic patients.

2015

The objective of this paper was to validate a previously developed semi physiological model to simulate bioequivalence trials of drug products. The aim of the model was to ascertain whether the measurement of the metabolite concentration-time profiles would provide any additional information in bioequivalence studies (Fernandez-Teruel et al., 2009a,b; Navarro-Fontestad et al., 2010). The semi-physiological model implemented in NONMEM VI was used to simulate caffeine and its main metabolite plasma levels using caffeine parameters from bibliography. Data from 3 bioequivalence studies in healthy subjects at 3 different doses (100, 175 and 400mg of caffeine) and one study in cirrhotic patients …

Liver CirrhosisMetabolitePopulationPharmaceutical ScienceBioequivalencePharmacologyModels BiologicalIntestinal absorptionchemistry.chemical_compoundPharmacokineticsCaffeineMedicineHumansComputer SimulationeducationBiotransformationParaxanthineeducation.field_of_studyDose-Response Relationship Drugbusiness.industryReproducibility of ResultsHealthy VolunteersNONMEMchemistryIntestinal AbsorptionTherapeutic EquivalencyCentral Nervous System StimulantsCaffeinebusinessAlgorithmsEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Computer simulations of bioequivalence trials: selection of design and analyte in BCS drugs with first-pass hepatic metabolism: linear kinetics (I).

2008

Modeling and simulation approaches are useful tools to assess the potential outcome of different scenarios in bioequivalence studies. The aim of this study is to propose a new and improved semi-physiological model for bioequivalence trial simulations and apply it for all BCS (Biopharmaceutic Classification System) drug classes with non-saturated first-pass hepatic metabolism. The semi-physiological model was developed in NONMEM VI to simulate bioequivalence trials. Parent drug and metabolite levels for both reference and test were simulated. Eight types of drugs (with high or low permeability and high or low solubility (class I to IV) and high or low intrinsic clearance) were considered in …

DrugAnalytemedia_common.quotation_subjectMetabolitePharmaceutical ScienceBioequivalencePharmacologychemistry.chemical_compoundFirst pass effectPharmacokineticsHumansComputer SimulationPharmacokineticsTissue Distributionmedia_commonDose-Response Relationship DrugChemistryNONMEMLiverNonlinear DynamicsPharmaceutical PreparationsTherapeutic EquivalencyArea Under CurveData Interpretation StatisticalDrug metabolismAlgorithmsEuropean journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
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Comparison of free software platforms for the calculation of the 90% confidence interval of f2 similarity factor by bootstrap analysis

2020

Abstract Introduction The calculation of the 90% confidence interval of f2 based on the bootstrap methodology has been proposed and accepted by the main regulatory authorities when the dissolution data shows excessive variability. Different free software platforms allow the calculation of the 90% CI of f2 by means of bootstrapping. Their use in regulatory submissions is growing, but divergent results have been observed between the available software platforms. Therefore, the objective of this work is to analyze the characteristics of these software platforms and evaluate their results. Methods and materials Highly variable in vitro dissolution data from two products were selected. Three dif…

Percentilebusiness.industryPharmaceutical ScienceValue (computer science)02 engineering and technology021001 nanoscience & nanotechnology030226 pharmacology & pharmacyConfidence interval03 medical and health sciencesVariable (computer science)0302 clinical medicineSoftwareBootstrapping (electronics)Similarity (network science)StatisticsTruncation (statistics)0210 nano-technologybusinessMathematicsEuropean Journal of Pharmaceutical Sciences
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Computer Simulations as a Tool for Optimizing Bioequivalence Trials

2012

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