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Dive into the research topics where Lawrence X. Yu is active.

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Featured researches published by Lawrence X. Yu.


Pharmaceutical Research | 2002

Biopharmaceutics classification system: the scientific basis for biowaiver extensions.

Lawrence X. Yu; Gordon L. Amidon; James E. Polli; Hong Zhao; Mehul Mehta; Dale P. Conner; Vinod P. Shah; Lawrence J. Lesko; Mei-Ling Chen; Vincent H.L. Lee

The current BSC guidance issued by the FDA allows for biowaivers based on conservative criteria. Possible new criteria and class boundaries are proposed for additional biowaivers based on the underlying physiology of the gastrointestinal tract. The proposed changes in new class boundaries for solubility and permeability are as follows: 1. Narrow the required solubility pH range from 1.0-7.5 to 1.0-6.8. 2. Reduce the high permeability requirement from 90% to 85%. The following new criterion and potential biowaiver extension require more research: 1. Define a new intermediate permeability class boundary. 2. Allow biowaivers for highly soluble and intermediately permeable drugs in IR solid oral dosage forms with no less than 85% dissolved in 15 min in all physiologically relevant dissolution media, provided these IR products contain only known excipients that do not affect the oral drug absorption. The following areas require more extensive research: 1. Increase the dose volume for solubility classification to 500 mL. 2. Include bile salt in the solubility measurement. 3. Use the intrinsic dissolution method for solubility classification. 4. Define an intermediate solubility class for BCS Class II drugs. 5. Include surfactants in in vitro dissolution testing.


International Journal of Pharmaceutics | 1999

A compartmental absorption and transit model for estimating oral drug absorption

Lawrence X. Yu; Gordon L. Amidon

This report describes a compartmental absorption and transit model to estimate the fraction of dose absorbed and the rate of drug absorption for passively transported drugs in immediate release products. The model considers simultaneous small intestinal transit flow and drug absorption. Both analytical and numerical methods were utilized to solve the model equations. It was found that the fraction of dose absorbed can be estimated by F(a) = 1-(1+0.54 P(eff))(-7), where P(eff) is the human effective permeability in cm/h. A good correlation was found between the fraction of dose absorbed and the effective permeability for ten drugs covering a wide range of absorption characteristics. The model was able to explain the oral plasma concentration profiles of atenolol.


Pharmaceutical Research | 2006

Why is it Challenging to Predict Intestinal Drug Absorption and Oral Bioavailability in Human Using Rat Model

Xianhua Cao; Seth Gibbs; Lanyan Fang; Heather A. Miller; Christopher P. Landowski; Ho Chul Shin; Hans Lennernäs; Yanqiang Zhong; Gordon L. Amidon; Lawrence X. Yu; Duxin Sun

PurposeTo study the correlation of intestinal absorption for drugs with various absorption routes between human and rat, and to explore the underlying molecular mechanisms for the similarity in drug intestinal absorption and the differences in oral bioavailability between human and rat.Materials and MethodsThe intestinal permeabilities of 14 drugs and three drug-like compounds with different absorption mechanisms in rat and human jejunum were determined by in situ intestinal perfusion. A total of 48 drugs were selected for oral bioavailability comparison. Expression profiles of transporters and metabolizing enzymes in both rat and human intestines (duodenum and colon) were measured using GeneChip analysis.ResultsNo correlation (r2 = 0.29) was found in oral drug bioavailability between rat and human, while a correlation (r2 = 0.8) was observed for drug intestinal permeability with both carrier-mediated absorption and passive diffusion mechanisms between human and rat small intestine. Moderate correlation (with r2 > 0.56) was also found for the expression levels of transporters in the duodenum of human and rat, which provides the molecular mechanisms for the similarity and correlation of drug absorption between two species. In contrast, no correlation was found for the expressions of metabolizing enzymes between rat and human intestine, which indicates the difference in drug metabolism and oral bioavailability in two species. Detailed analysis indicates that many transporters (such as PepT1, SGLT-1, GLUT5, MRP2, NT2, and high affinity glutamate transporter) share similar expression levels in both human and rat with regional dependent expression patterns, which have high expression in the small intestine and low expression in the colon. However, discrepancy was also observed for several other transporters (such as MDR1, MRP3, GLUT1, and GLUT3) in both the duodenum and colon of human and rat. In addition, the expressions of metabolizing enzymes (CYP3A4/CYP3A9 and UDPG) showed 12 to 193-fold difference between human and rat intestine with distinct regional dependent expression patterns.ConclusionsThe data indicate that rat and human show similar drug intestinal absorption profiles and similar transporter expression patterns in the small intestine, while the two species exhibit distinct expression levels and patterns for metabolizing enzymes in the intestine. Therefore, a rat model can be used to predict oral drug absorption in the small intestine of human, but not to predict drug metabolism or oral bioavailability in human.


Advanced Drug Delivery Reviews | 1996

Transport approaches to the biopharmaceutical design of oral drug delivery systems: prediction of intestinal absorption.

Lawrence X. Yu; Elke Lipka; John R. Crison; Gordon L. Amidon

For almost a half century scientists have striven to develop a theoretical model capable of predicting oral drug absorption in humans. From the pH-partition hypothesis to the compartmental absorption and transit (CAT) model, various qualitative/quantitative approaches have been proposed, revised and extended. In this review, these models are classified into three categories; quasi-equilibrium models, steady-state models and dynamic models. The quasi-equilibrium models include the pH-partition hypothesis and the absorption potential concept, the steady-state models include the film model and the mass balance approaches, and the dynamic models include the dispersion, mixing tank and CAT models. The quasi-equilibrium models generally provide a basic guideline for understanding drug absorption trends. The steady-state models can be used to estimate the fraction of dose absorbed. The dynamic models predict both the fraction of dose absorbed and the rate of drug absorption and can be related to pharmacokinetic models to evaluate plasma concentration profiles.


Aaps Journal | 2008

Quality by Design: Concepts for ANDAs

Robert Lionberger; Sau Lawrence Lee; LaiMing Lee; Andre Raw; Lawrence X. Yu

Quality by design is an essential part of the modern approach to pharmaceutical quality. There is much confusion among pharmaceutical scientists in generic drug industry about the appropriate element and terminology of quality by design. This paper discusses quality by design for generic drugs and presents a summary of the key terminology. The elements of quality by design are examined and a consistent nomenclature for quality by design, critical quality attribute, critical process parameter, critical material attribute, and control strategy is proposed. Agreement on these key concepts will allow discussion of the application of these concepts to abbreviated new drug applications to progress.


Annals of Pharmacotherapy | 2009

Comparing Generic and Innovator Drugs: A Review of 12 Years of Bioequivalence Data from the United States Food and Drug Administration

Barbara M. Davit; Patrick E Nwakama; Gary Buehler; Dale P. Conner; Sam H. Haidar; Devvrat T. Patel; Yongsheng Yang; Lawrence X. Yu; Janet Woodcock

Background: In the US, manufacturers seeking approval to market a generic drug product must submit data demonstrating that the generic formulation provides the same rate and extent of absorption as (ie, is bioequivalent to) the innovator drug product. Thus, most orally administered generic drug products in the US are approved based on results of one or more clinical bioequivalence studies. Objective: To evaluate how well the bioequivalence measures of generic drugs approved in the US over a 12-year period compare with those of their corresponding innovator counterparts. Methods: This retrospective analysis compared the generic and innovator bioequivalence measures from 2070 single-dose clinical bioequivalence studies of orally administered generic drug products approved by the Food and Drug Administration (FDA) from 1996 to 2007 (12 y). Bioequivalence measures evaluated were drug peak plasma concentration (Cmax) and area under the plasma drug concentration versus time curve (AUC), representing drug rate and extent of absorption, respectively. The generic/innovator Cmax and AUC geometric mean ratios (GMRs) were determined from each of the bioequivalence studies, which used from 12 to 170 subjects. The GMRs from the 2070 studies were averaged. In addition, the distribution of differences between generic means and innovator means was determined for both Cmax and AUC. Results: The mean ± SD of the GMRs from the 2070 studies was 1.00 ± 0.06 for Cmax and 1.00 ± 0.04 for AUC. The average difference in Cmax and AUC between generic and innovator products was 4.35% and 3.56%, respectively. In addition, in nearly 98% of the bioequivalence studies conducted during this period, the generic product AUC differed from that of the innovator product by less than 10%. Conclusions: The criteria used to evaluate generic drug bioequivalence studies support the FDAs objective of approving generic drug formulations that are therapeutically equivalent to their innovator counterparts.


Pharmaceutical Research | 1999

Vitamin E-TPGS increases absorption flux of an HIV protease inhibitor by enhancing its solubility and permeability.

Lawrence X. Yu; Avis Bridgers; Joseph W. Polli; Ann W. Vickers; Stacey T. Long; Arup Roy; Richard Winnike; Mark Davis Coffin

AbstractPurpose. To investigate the effect of vitamin E-TPGS, d-α-tocopheryl polyethylene glycol 1000 succinate, on the solubility and permeability of amprenavir, a potent HIV protease inhibitor. Methods. The aqueous solubility of amprenavir was measured as a function of vitamin E-TPGS concentration. Directional transport through Caco-2 cell monolayers was determined in the presence and absence of vitamin E-TPGS and P-glycoprotein inhibitors. Absorption flux was estimated from Caco-2 cell permeability and aqueous solubility. Results. The solubility of amprenavir in a pH 7 buffer at 37°C was 0.036 ± 0.007 mg/mL. The solubility linearly increased with increasing vitamin E-TPGS concentration (above 0.2 mg/mL). Polarized transport was demonstrated in the basolateral to apical direction, exceeding apical to basolateral transport by a factor of 6. The active efflux system was inhibited by vitamin E-TPGS and known P-glycoprotein inhibitors verapamil and GF120918. Conclusions. The solubility of amprenavir was improved in the presence of vitamin E-TPGS through micelle solubilization. Vitamin E-TPGS inhibits the efflux system and enhances the permeability of amprenavir. Overall, vitamin E-TPGS enhanced the absorption flux of amprenavir by increasing its solubility and permeability. The enhancement is essential to the development of the novel soft gelatin capsule formulation of amprenavir for use in the clinic.


Aaps Journal | 2014

Understanding Pharmaceutical Quality by Design

Lawrence X. Yu; Gregory E. Amidon; Mansoor A. Khan; Stephen W. Hoag; James E. Polli; G. K. Raju; Janet Woodcock

This review further clarifies the concept of pharmaceutical quality by design (QbD) and describes its objectives. QbD elements include the following: (1) a quality target product profile (QTPP) that identifies the critical quality attributes (CQAs) of the drug product; (2) product design and understanding including identification of critical material attributes (CMAs); (3) process design and understanding including identification of critical process parameters (CPPs), linking CMAs and CPPs to CQAs; (4) a control strategy that includes specifications for the drug substance(s), excipient(s), and drug product as well as controls for each step of the manufacturing process; and (5) process capability and continual improvement. QbD tools and studies include prior knowledge, risk assessment, mechanistic models, design of experiments (DoE) and data analysis, and process analytical technology (PAT). As the pharmaceutical industry moves toward the implementation of pharmaceutical QbD, a common terminology, understanding of concepts and expectations are necessary. This understanding will facilitate better communication between those involved in risk-based drug development and drug application review.


International Journal of Pharmaceutics | 1996

Compartmental transit and dispersion model analysis of small intestinal transit flow in humans

Lawrence X. Yu; John R. Crison; Gordon L. Amidon

The purpose of this investigation was to characterize the small intestinal transit flow in humans using quantitative and mechanistic approaches. We presented a compartmental transit model to anatomize the transit process of oral dosage forms through the human small intestinal tract. A dispersion model with constant input rate and a single-compartment model were also employed to depict the dispersion and fluid flow in the human small intestinal tract. The literature data of the small intestinal transit time were utilized to statistically construct transit flow profile. The mean small intestinal transit time in humans was found to be 199 min with a 95% confidence interval of 7 min. It was demonstrated that the small intestinal transit flow profile was well characterized by both compartmental transit and dispersion models, but not by the single-compartment model. We concluded that the compartmental transit model might be superior to the single-compartment model and less complex than the dispersion model.


Aaps Pharmscitech | 2002

Near-infrared spectral imaging for quality assurance of pharmaceutical products: Analysis of tablets to assess powder blend homogeneity

Robbe C. Lyon; David S. Lester; E. Neil Lewis; Eunah Lee; Lawrence X. Yu; Everett Jefferson

The objective of this study was to evaluate near-infrared (NIR) spectroscopic imaging as a tool to assess a pharmaceutical quality assurance problem—blend uniformity in the final dosage product. A system based on array detector technology was used to rapidly collect high-contrast NIR images of furosemide tablets. By varying the mixing, 5 grades of experimental tablets containing the same amount of furosemide and microcrystalline cellulose were produced, ranging from well blended to unblended. For comparison, these tablets were also analyzed by traditional NIR spectroscopy, and both approaches were used to evaluate drug product homogeneity. NIR spectral imaging was capable of clearly differentiating between each grade of blending, both qualitatively and quantitatively. The spatial distribution of the components was based on the variation or contrast in pixel intensity, which is due to the NIR spectral contribution to each pixel. The chemical nature of each pixel could be identified by the localized spectrum associated with each pixel. Both univariate and partial least squares (PLS) images were evaluated. In the suboptimal blends, the regions of heterogeneity were obvious by visual inspection of the images. A quantitative measure of blending was determined by calculating the standard deviation of the distribution of pixel intensities in the PLS score images. The percent standard deviation increased progressively from 11% to 240% from well blended to unblended tablets. The NIR spectral imaging system provides a rapid approach for acquiring spatial and spectral information on pharmaceuticals. The technique has potential for a variety of applications in product quality assurance and could affect the control of manufacturing processes.

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Robert Lionberger

Food and Drug Administration

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Dale P. Conner

Food and Drug Administration

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Duxin Sun

University of Michigan

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Mehul Mehta

Food and Drug Administration

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Mei-Ling Chen

Food and Drug Administration

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Barbara M. Davit

Food and Drug Administration

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Andre Raw

Center for Drug Evaluation and Research

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