The need for education in pharmacogenomics: a regulatory perspective.
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Biomedical subjects
Publications and source records attributed to L J Lesko.
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PURPOSE: To determine inter-lot and intra-subject variability in the bioavailability of the 100 mg extended phenytoin sodium capsules. In addition, to determine the effect of gender and menstrual cycle on phenytoin bioavailability. METHODS: Three different lots of extended phenytoin sodium capsules were given to 12 healthy male and 12 healthy female subjects in a crossover fashion. One of the lots was also given a second time to each subject. Plasma phenytoin was determined, using an HPLC assay, in samples collected over a 73-hr period after each dose. RESULTS: The mean Cmax for the four administrations ranged from 1.71-1.79 microg/ml and mean AUC(0-infinity) values from ranged 53.0-54.1 microg*hr/ml. The elimination half-life was 3 hr shorter, and the AUC(0-infinity) adjusted for the mg/kg dose was 30% lower for females. Average bioequivalence was demonstrated between the three lots for both Cmax and AUC(0-infinity) based on the BE limit of 80-125%. Further, all confidence intervals of AUC(0-infinity) fell within the limit of 90-111%. There were no differences in the confidence limits for Cmax and AUC(0-infinity) determined separately for males and females. Also, there was no difference in the mean Cmax or AUC(0-infinity) for females when analyzed as a function of the week of their menstrual cycle. Individual bioequivalence was demonstrated between three lots of phenytoin using the constant-scaled method, but not the reference-scaled method. CONCLUSIONS: There was very little difference in the bioavailability of the three lots of phenytoin. Females exhibited a lower AUC(0-infinity) than males after adjustment of dose for body weight, but their inclusion in the study did not affect the assessment of bioequivalence. When dose was not adjusted for body weight, no difference in AUC(0-infinity) was seen between males and females.
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In the future, biomarkers will play an increasingly important role in all phases of drug development, including regulatory review. However, only a few of these biomarkers will become established well enough to serve in regulatory decision making as surrogate endpoints, thereby substituting for traditional clinical endpoints. Even generally accepted surrogate endpoints are unlikely to capture all the therapeutic benefits and potential adverse effects a drug will have in a diverse patient population. Accordingly, combinations of biomarkers probably will be needed to provide a more complete characterization of the spectrum of pharmacologic response. In the future, pharmacogenomic approaches, including those based on differential expression of gene arrays, will provide panels of relevant biomarkers that can be expected to transform the drug development process.
This study was designed to theoretically investigate the influence of drug release properties, characterized by the disintegration of a solid dosage form and dissolution of drug particles, on the systemic exposure of highly soluble drugs in immediate release products. An absorption model was developed by considering disintegration of a solid dosage form, dissolution of drug particles, gastrointestinal transit flow, and intestinal absorption processes. The absorption model was linked to a conventional pharmacokinetic model to evaluate the effect of disintegration and dissolution on the peak exposure (Cmax) and total exposure of area under the curve (AUC). Numerical methods were used to solve the model equations. The simulations show that the effect of disintegration of a dosage form and dissolution of drug particles depend on the permeability of a drug, with a low-permeability drug having a greater effect. To provide similar exposure to an oral solution formulation, a solid dosage form containing a low-permeability drug would need to dissolve more rapidly than a solid dosage form containing a high-permeability drug. It was shown theoretically for poorly permeable drugs that the disintegration rate constant has to be greater than 9 hour(-1)(equivalent to approximately 90% in 30 minutes) to make both AUC and Cmax ratios higher than.9, ensuring the confidence interval of.80 to 1.25. The rapid in vitro release requirement of at least 85% dissolved in 30 minutes is sufficient for highly soluble and highly permeable drugs. However, for highly soluble and poorly permeable drugs, the appropriate in vitro release requirement seems to be 90% dissolved in 30 minutes.
For decades, the establishment of bioequivalence has generally relied on the comparison of population averages between the test and reference formulations. In the early 1990s, individual bioequivalence was proposed to ensure that an individual could be switched from the reference product to the test product with unchanged efficacy and safety. Since 1997, the US Food and Drug Administration (FDA) has published three guidance documents on the proposed criterion and statistical methodology for the individual bioequivalence approach. From a scientific stand-point, the individual bioequivalence criterion appears to offer several advantages for some drug products compared with the average criterion. It allows comparison of intraindividual variances, scaling the bioequivalence criterion to the reference variability and detection of an important subject-by-formulation interaction if it exists. Based on these considerations, the FDA has recently recommended replicate study designs for modified release dosage forms and highly variable drug products. The new criterion also promotes inclusion of a heterogeneous population of volunteers in bioequivalence studies. Despite all the advantages of the individual bioequivalence approach, questions remain on the optimal use of replicate study designs and the proposed criterion for evaluation of bioequivalence between formulations. In the finalised guidance documents, therefore, the FDA maintains the average bioequivalence criterion while allowing other criteria under certain circumstances. Collection and analysis of bioequivalence data from replicate study designs may permit further assessment and resolution of these questions.
OBJECTIVE: The US Food and Drug Administration (FDA) currently uses bioequivalence (BE) limits for fasting BE studies that are based on the 90% confidence interval for the ratio of difference of the test and reference products Cmax and AUC falling within 80% to 125%. The FDA has also proposed that BE limits be used similarly for AUC and Cmax measurements from fed BE studies. In some cases, regulatory agencies have considered a wider BE limit for Cmax, because of the typically higher variability of Cmax compared to AUC. We investigated the consequences of changing from an 80%/ 125% limit for both pharmacokinetic measures to one that uses a limit of 80%/125% for AUC and 70%/143% for Cmax. METHODS: We computed the sample sizes required for BE studies using 80%/125% for AUC and 70%/143% for Cmax as BE limits. We also determined the range of the ratios of Cmax and AUC values in a study that could meet the 70%/143% and 80%/125% BE limits. RESULTS: The sample size for the study, in order to have adequate power with 80%/125% for AUC and 70%/143% for Cmax, will be determined primarily by the intrasubject variability of AUC, though with a substantial proportion of studies (about one third) still determined by the variability of Cmax. The ratio of mean Cmax values that can pass a wider 70%/143% BE limit could easily be as high as 128%. CONCLUSION: Without further scientific or clinical rationale, we find it difficult to justify widening the bioequivalence limit for Cmax to 70%/143% for either fasting or fed BE studies.
BACKGROUND: St John's wort (Hypericum perforatum) is a popular over-the-counter dietary supplement and herbal remedy that has been implicated in drug interactions with substrates of several cytochrome P450 (CYP) isozymes. The effect of St John's wort on CYP activity in vivo was examined with a probe drug cocktail. METHODS: Twelve healthy subjects (5 female, 7 male) completed this 3-period, open-label, fixed schedule study. Tolbutamide (CYP2C9), caffeine (CYP1A2), dextromethorphan (CYP2D6), oral midazolam (intestinal wall and hepatic CYP3A), and intravenous midazolam (hepatic CYP3A) were administered before, with short-term St John's wort dosing (900 mg), and after 2 weeks of intake (300 mg 3 times a day) to determine CYP activities. RESULTS: Short-term administration of St John's wort had no effect on CYP activities. Long-term St John's wort administration caused a significant (P <.05) increase in oral clearance of midazolam from 121.8 +/- 70.7 to 254.5 +/- 127.8 and a corresponding significant decline in oral bioavailability from 0.28 +/- 0.15 to 0.17 +/- 0.06. In contrast to the >50% decrease in the area under the plasma concentration-time curve (AUC) when midazolam was administered orally, long-term St John's wort administration caused a 20% decrease in AUC when midazolam was given intravenously. There was no change in CYP1A2, CYP2C9, or CYP2D6 activities as a result of St John's wort administration. CONCLUSION: Long-term St John's wort administration resulted in a significant and selective induction of CYP3A activity in the intestinal wall. St John's wort did not alter the CYP2C9, CYP1A2, or CYP2D6 activities. Reduced therapeutic efficacy of drugs metabolized by CYP3A should be anticipated during long-term administration of St John's wort.
This study evaluated the effects of batch size on the in vitro dissolution and the in vivo bioavailability of immediate release formulations of propranolol hydrochloride and metoprolol tartrate. The formulations were manufactured as small and large batches (6 kg and 60 kg for propranolol; 14 kg and 66 kg for metoprolol), and dissolution was performed using USP Apparatus I at 100 rpm and pH 1.2. Two panels of 14 subjects each were randomly assigned to receive the small and large batches of either propranolol or metoprolol in an open, randomized single-dose study. Blood samples were collected over a 24-hour (propranolol) or 18-hour (metoprolol) period and analyzed by validated methods. As determined by the f2 metric (similarity factor), the dissolution of the small and large batches of propranolol and metoprolol was similar. The mean Cmax and AUC(inf) for the small batch of propranolol were 79.0 microg/L and 536 microg/L/hr, and for the large batch they were 83.5 microg/L and 575 microg/L/hr. Cmax and AUC(inf) for the small batch of metoprolol were found to be 95.5 microg/L and 507 microg/L/hr and for the large batch, 95.1 microg/L and 495 microg/L/hr. The 90% confidence intervals for the small and large batches were within the 80% to 120% range for lnCmax, and lnAUC(inf) for both the propranolol and metoprolol formulations. These results suggest that the scale-up process does not significantly affect the bioavailability of highly soluble, highly permeable drugs and in vitro dissolution tests may be useful in predicting in vivo behavior.
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Ninety-eight new molecular entities applications approved between 1987 to 1991 (period I) and 193 applications for new molecular entities between 1992 to 1997 (period II) were surveyed for drug-drug interaction studies. In period I (used as a comparator), 32 applications contained drug-drug interaction studies for a total of 117 studies. In period II, 106 applications reported drug-drug interaction studies, and the number of studies per new molecular entity ranged from 0 to 15. Most studies (77%) were performed in healthy subjects, with 44% using crossover designs, 7% using parallel designs, and the remaining using fixed sequence designs. The most common dosing scheme for new molecular entities/interacting drug was multiple dose (47%), whereas single dose/multiple dose was used in 31% of studies, and single dose/single dose was used in 18% of studies. Of the 540 drug-drug interaction studies submitted in period II, 80 (15%) resulted in clinically significant labeling statements. Submissions for new molecular entities to the Center for Drug Evaluation and Research divisions most likely to include drug-drug interaction studies were neuropharmacology, cardiorenal, antiviral, and antiinfective drugs. Some drug classes such as oncology drug products and radioimaging products were least likely to include drug-drug interaction studies in their submissions. We conclude that the use of drug-drug interaction studies in the drug development process has increased between the two periods.
OBJECTIVES: To address the questions of whether women should be included in bioequivalence trials and whether dosage adjustment may be needed in women relative to men. METHODS: Sex-related analysis was conducted for 26 bioequivalence studies involving both sexes. A total of 94 data sets [47 each for the areas under the plasma concentration-time curve (AUC) and maximum concentration (Cmax)] were used. ANOVA was performed. Three statistical models were used to estimate population means and intrasubject variability between sexes, as well as sex-by-formulation interactions. Comparisons were made by use of confidence intervals, magnitude of observed differences, and statistical significance (alpha = .05). RESULTS: With some exceptions, intrasubject variabilities were similar for men and women. In about 10% of the data sets (AUC or Cmax), women had significantly higher variability. Although fewer, there were examples with higher variability in men. With a 20 percentage point difference used in the test-over-reference mean ratios between sexes as a signal of sex-by-formulation interaction, the frequency of this interaction (AUC or Cmax) is approximately 13% and approximately 35%, counting by data sets and studies, respectively. Mean sex-related differences of > or = 20% in the pharmacokinetic parameters for the reference product were observed in 39% of the data sets (AUC or Cmax). In approximately 28% of the data sets, these differences were statistically significant. The frequency was approximately 15% after body weight correction. CONCLUSIONS: In general, men and women have similar intrasubject variability. Where variability differs between sexes, there is a suggestion that higher variability in women may be more frequent. The data also suggest that a sex-based subject-by-formulation interaction can occur, although the frequency may be low. Sex-related differences in pharmacokinetics are apparent in many drugs studied. Dosage adjustment with body weight may be warranted for drugs that exhibit a steep dose-response curve. Although exploratory, the results of this study support recommendations of the 1993 Food and Drug Administration gender guideline that women not be excluded from bioequivalence trials.
1. Troglitazone was the first thiazolidinedione approved for clinical use in the treatment of non-insulin-dependent diabetes mellitus. During clinical investigations of drug-drug interactions with therapeutics (terfenadine and cyclosporine) known to be metabolized by CYP3A4, pharmacokinetic interactions were noted upon troglitazone multiple-dose treatments. The nature of the interactions suggested induction of CYP3A enzymes. 2. Primary cultures of human hepatocytes were used to investigate the induction potential of troglitazone with respect to CYP3A4, CYP2B6 and CYP1A1/2. In human hepatocytes, troglitazone induced both immunoreactive CYP3A4 protein and testosterone 6beta-hydroxylase activity in a dose-dependent fashion (EC50 = 5-10 microM), accompanied by an increase in CYP3A4 mRNA. The capacity of troglitazone to induce CYP3A4 was between that of rifampin (EC50 = 0.8 microM) and dexamethasone (40-50 microM). Troglitazone increased CYP2B6 immunoreactive protein but did not significantly effect CYP1A1/2 activity, immunoreactive protein or mRNA. 3. Troglitazone produced significant increases in CYP3A message, protein and activity in primary rat hepatocytes, a slight increase in CYP2B1/2 activity and no change in CYP1A1/2 message or activity. 4. These results provide evidence that troglitazone can induce CYP3A and CYP2B enzymes while apparently not altering CYP1A. This provides a rationale for the clinically observed interactions of troglitazone with selected CYP3A4 substrates.
The objective of this report is to provide a regulatory perspective on the quality of pharmacokinetic studies in renal impairment (RI) studies submitted in support of new drug applications (NDAs) or supplements to NDAs (sNDAs) submitted to the Food and Drug Administration (FDA). Fifty-one NDA and 20 sNDA submissions reviewed between 1996 and 1997 by the Office of Clinical Pharmacology and Biopharmaceutics were evaluated for the following: (1) whether an RI study was conducted; (2) contribution of the renal clearance to the overall clearance in subjects without renal impairment; (3) degree of plasma protein binding (%PB) in subjects without renal impairment; (4) dose proportionality of single and multiple doses; (5) study design, including dosing regimen; (6) definition of renal impairment; (7) stratification of renal functions; (8) number of subjects/group; (9) data analysis and interpretation; and (10) impact on labeling. Results of the analysis indicated that 67% of the NDAs and 30% of supplemental NDAs contained RI-studies (34/51 for NDAs and 6/20 for sNDAs). No obvious differences in the pharmacokinetic characteristics (e.g., percentage excreted unchanged in urine and %PB) were observed between drugs for which RI studies were conducted versus those not conducted. Most studies conducted were designed as single dose (70%). Seventy-five percent of the studies used doses within the therapeutic dosage range of the drug. The measured 24-hour creatinine clearance was most often used to assess the renal function. Stratification of renal function ranged from one to five groups, with 6 to 8 subjects enrolled per group. In most studies conducted (38/40), data were analyzed by point estimate using ANOVA. Results of RI studies were adequately reflected in the labeling. The survey reveals that RI study design can be improved for regulatory review purposes. In part based on this analysis, the FDA has prepared a guidance that provides recommendations on the design, analysis, and impact on dosing and labeling for RI studies to include recommendations on when RI studies do not need to be performed. The guidance proposes an equivalence approach with confidence intervals, as opposed to a point estimate approach, to assess the impact of RI on systemic exposure measures.
Two international meetings were convened in 1998 to review the current science of drug development and the potential opportunities to optimize the evaluation of new drugs in humans. This report represents a synopsis of these meetings, and focuses on the current state of knowledge pertaining to drug development, future scientific and technical needs, and the relative merits of various strategies intended to accelerate the clinical development of drugs.
The two domains in clinical pharmacology dealing with optimizing dosing recommendations are pharmacokinetics and pharmacodynamics. However, the usefulness of these disciplines is limited if viewed in isolation. Pharmacokinetic/pharmacodynamic (PK/PD) relationships and modeling builds the bridge between these two classical disciplines of clinical pharmacology. It links the concentration-time profile as assessed by pharmacokinetics to the intensity of observed response as quantified by pharmacodynamics. Thus, the resulting so-called integrated PK/PD-models allow the description of the complete time course of the desired and/or undesired effects in response to a drug therapy. PK/PD-modeling can elucidate the causative relationship between drug exposure and response and provide a better understanding of the sequence of events that result in the observed drug effect. This information can then be used to streamline the drug development process and dose optimization. This consensus paper presents an update on the current state of PK/PD-modeling from an academic, industrial and regulatory perspective.