Critique of prospective allometric scaling: does the emperor have clothes?
Explore the source record for details and available documents.
Animals↗
Biomedical subjects
I Mahmood
Publications and source records attributed to I Mahmood.
Can absolute oral bioavailability in humans be predicted from animals? A comparison of allometry and different indirect methods.
The objective of this study was to predict absolute bioavailability in humans from animal data using interspecies scaling as well as indirect approaches. Five different methods were used to predict absolute bioavailability in humans: (i) absolute bioavailability vs body weight (allometric approach); (ii) F = CL(IV)/CL(oral); (iii) F = 1-[CL(IV)/Q]; (iv) F = 1-[CL(oral)/Q]; and (v) F = Q/[Q + CL(oral)]. Methods II-V are indirect approaches, where predicted i.v. or oral clearance and hepatic blood flow (Q) (1500 ml/min) were used to predict absolute bioavailability in humans. Fifteen drugs were tested and the results of this study indicate that all five approaches predict absolute bioavailability with different degrees of accuracy, and are therefore unreliable for the accurate prediction of absolute bioavailability in humans from animal data. In conclusion, although the above-mentioned approaches do not accurately predict absolute bioavailability, a rough estimate of absolute bioavailability is possible using these approaches.
Animals↗
A comparative study of allometric scaling with plasma concentrations predicted by species-invariant time methods.
The objective of this study is to compare the empirical allometric approaches with species invariant time methods using equivalent time, kallynochron, apolysichron, and dienetichrons. Pharmacokinetic parameters (clearance, volume of distribution, and elimination half-life) of ethosuximide, cyclosporine and ciprofloxacin were scaled-up from animal data obtained from the literature. Two methods were utilized to generate plots for the prediction of clearance in humans: (i) clearance versus body weight (simple allometric equation); and (ii) the product of clearance and maximum life-span potential (MLP) versus body weight. Plasma concentrations of each of the drugs were predicted using elementary and complex Dedrick plots, equivalent time with an exponent of 0.25 and equivalent time with the exponent obtained from the plot of body weight and half-life. Plasma concentrations of cyclosporine and ciprofloxacin were also predicted by MLP normalization (dienetichrons). Almost similar results in the pharmacokinetic parameters of the tested drugs were obtained by the allometric approach and by the species invariant time methods.
Animals↗
Allometric issues in drug development.
The concept of correlating pharmacokinetic parameters with body weight from different animal species has become a useful tool in drug development. The allometric approach is based on the power function, where the body weight of the species is plotted against the pharmacokinetic parameter(s) of interest. Clearance, volume of distribution, and elimination half-life are the three most frequently extrapolated pharmacokinetic parameters. Over the years, many approaches have been suggested to improve the prediction of these pharmacokinetic parameters in humans from animal data. A literature review indicates that there are different degrees of success with different methods for different drugs. Overall, though interspecies scaling requires refinement and better understanding, the approach has lot of potential during the drug development process.
Animals↗
Prediction of clearance, volume of distribution and half-life by allometric scaling and by use of plasma concentrations predicted from pharmacokinetic constants: a comparative study.
Pharmacokinetic parameters (clearance, CL, volume of distribution in the central compartment, VdC, and elimination half-life, t1/2beta) predicted by an empirical allometric approach have been compared with parameters predicted from plasma concentrations calculated by use of the pharmacokinetic constants A, B, alpha and beta, where A and B are the intercepts on the Y axis of the plot of plasma concentration against time and alpha and beta are the rate constants, both pairs of constants being for the distribution and elimination phases, respectively. The pharmacokinetic parameters of cefpiramide, actisomide, troglitazone, procaterol, moxalactam and ciprofloxacin were scaled from animal data obtained from the literature. Three methods were used to generate plots for the prediction of clearance in man: dependence of clearance on body weight (simple allometric equation); dependence of the product of clearance and maximum life-span potential (MLP) on body weight; and dependence of the product of clearance and brain weight on body weight. Plasma concentrations of the drugs were predicted in man by use of A, B, alpha and beta obtained from animal data. The predicted plasma concentrations were then used to calculate CL, VdC and t1/2beta. The pharmacokinetic parameters predicted by use of both approaches were compared with measured values. The results indicate that simple allometry did not predict clearance satisfactorily for actisomide, troglitazone, procaterol and ciprofloxacin. Use of MLP or the product of clearance and brain weight improved the prediction of clearance for these four drugs. Except for troglitazone, VdC and t1/2beta predicted for man by use of the allometric approach were comparable with measured values for the drugs studied. CL, VdC and t1/2beta predicted by use of pharmacokinetic constants were comparable with values predicted by simple allometry. Thus, if simple allometry failed to predict clearance of a drug, so did the pharmacokinetic constant approach (except for actisomide). The results of this study indicate that caution should be employed in interpreting plasma concentrations predicted for a drug in man by use of pharmacokinetic constants obtained in animals.
Animals↗
The pharmacokinetic principles behind scaling from preclinical results to phase I protocols.
Extrapolation of animal data to assess pharmacokinetic parameters in humans is an important tool in drug development. Allometric scaling has many proponents, and many different approaches and techniques have been proposed to optimise the prediction of pharmacokinetic parameters from animals to humans. The allometric approach is based on the power function Y = aWb, where the bodyweight of the species is plotted against the pharmacokinetic parameter of interest on a log-log scale. Clearance, volume of distribution and elimination half-life are the 3 most frequently extrapolated pharmacokinetic parameters. Clearance is not predicted very well (error between predicted and observed clearance > 30%) using the basic allometric equation in most cases. Thus, several other approaches have been proposed. An early approach was the concept of neoteny, where the clearance is predicted on the basis of species bodyweight and maximum life-span potential. A second approach uses a 2-term power equation based on brain and body weight to predict the intrinsic clearance of drugs that are primarily eliminated by phase I oxidative metabolism. Most recently, the use of the product of brain weight and clearance has been proposed. A literature review reveals different degrees of success of improved prediction with the different methods for various drugs. In a comparative study, the determining factor in selecting a method for prediction of clearance was found to be the value of the exponent. Integration of in vitro data into in vivo clearance to improve the predictive performance of clearance has also been suggested. Although there are proponents of using body surface area instead of bodyweight, no advantage has been noted in this approach. It has also been noted that the unbound clearance of a drug cannot be predicted any better than the total body clearance (CL). In general, there is a good correlation between bodyweight and volume of the central compartment (Vc); hence, Vc does not face the same complications as CL. The relationship between elimination half-life (t 1/2 beta) and bodyweight across species results in poor correlation, most probably because of the hybrid nature of this parameter. When a reasonable prediction of CL and Vc is made, t 1/2 beta may be predicted from the equation t 1/2 beta = 0.693 Vc/CL.
Animals↗
Clinical pharmacokinetics and pharmacodynamics of buspirone, an anxiolytic drug.
Buspirone is an anxiolytic drug given at a dosage of 15 mg/day. The mechanism of action of the drug is not well characterised, but it may exert its effect by acting on the dopaminergic system in the central nervous system or by binding to serotonin (5-hydroxytryptamine) receptors. Following a oral dose of buspirone 20 mg, the drug is rapidly absorbed. The mean peak plasma concentration (Cmax) is approximately 2.5 micrograms/L, and the time to reach the peak is under 1 hour. The absolute bioavailability of buspirone is approximately 4%. Buspirone is extensively metabolised. One of the major metabolites of buspirone is 1-pyrimidinylpiperazine (1-PP), which may contribute to the pharmacological activity of buspirone. Buspirone has a volume of distribution of 5.3 L/kg, a systemic clearance of about 1.7 L/h/kg, an elimination half-life of about 2.5 hours and the pharmacokinetics are linear over the dose range 10 to 40 mg. After multiple-dose administration of buspirone 10 mg/day for 9 days, there was no accumulation of either parent compound or metabolite (1-PP). Administration with food increased the Cmax and area under the plasma concentration-time curve (AUC) of buspirone 2-fold. After a single 20 mg dose, the Cmax and AUC increased 2-fold in patients with renal impairment as compared with healthy volunteers. The Cmax and AUC were 15-fold higher for the same dose in patients with hepatic impairment compared with healthy individuals. The half-life of buspirone in patients with hepatic impairment was twice that in healthy individuals. The pharmacokinetics of buspirone were not affected by age or gender. Coadministration of buspirone with verapamil, diltiazem, erythromycin and itraconazole substantially increased the plasma concentration of buspirone, whereas cimetidine and alprazolam had negligible effects. Rifampicin (rifampin) decreased the plasma concentrations of buspirone almost 10-fold.
Aged↗
A limited sampling approach in bioequivalence studies: application to long half-life drugs and replicate design studies.
OBJECTIVES: The objectives of this study was to develop a limited sampling model (LSM) to predict the area under the curve (AUC) and the maximum plasma concentration (Cmax) for the assessment of bioequivalence studies. METHODS: Two drugs (A and B) were selected for this purpose. Drug A was chosen to test bioequivalence of two formulations with a long half-life (> 35 hours), whereas drug B was chosen to test the bioequivalence of two formulations (half-life = 12 hrs) with a replicate design study. The LSM for both drugs was developed using 5 blood samples each from 15 healthy subjects. The relationship between plasma concentration (independent variable) at selected time points with the AUC or Cmax (dependent variable) was evaluated by multiple linear regression analysis. The multiple linear regression which gave the best correlation coefficient (r) for 5 sampling time vs AUC or Cmax was chosen as the LSM. The predicted AUC and Cmax from the LSM were then used to assess bioequivalence of two different formulations of each drug following a single oral dose. RESULTS: The model provided good estimates of both AUC and Cmax for both drugs. The 90% confidence intervals on log-transformed observed and predicted AUC and Cmax were comparable for both drugs. CONCLUSIONS: The method described here may be used to estimate AUC and Cmax for bioequivalence studies for drugs with long half-lives or for highly variable drugs which may require replicate design studies without detailed blood sampling.
Area Under Curve↗
Comparison of the Bayesian approach and a limited sampling model for the estimation of AUC and Cmax: a computer simulation analysis.
OBJECTIVES: To compare two limited sampling methods (Bayesian and the limited sampling model) for the estimation of AUC and Cmax following a single oral dose of a hypothetical drug. METHODS: The plasma concentration vs time data sets for 50 subjects using a linear one- or two-compartment pharmacokinetic model were generated by simulation. The limited sampling model (LSM) was developed using samples from 10 subjects using one or two time points. The simulated plasma concentrations were also used for Bayesian evaluation. Bayesian analysis was performed on Non-Mem and mean pharmacokinetic parameters used for simulation were assumed as population pharmacokinetic parameters. In addition a test drug was also used to compare the predicted AUC and Cmax for the two approaches. RESULTS: Both methods were validated in 40 subjects for the hypothetical drug and in 12 subjects for the test drug. Both methods provided good estimates of AUC and Cmax. CONCLUSION: The results indicate that the LSM is similar to the Bayesian method and may be used in lieu of the Bayesian approach in estimating AUC and Cmax using one or two samples in clinical settings without detailed pharmacokinetic studies.
Area Under Curve↗
Response to the comments on the commentary 'Prediction of absolute bioavailability for drugs using oral and renal clearance following a single oral dose: a critical view'.
Explore the source record for details and available documents.
Area Under Curve↗
Development of a limited sampling approach in pharmacokinetic studies: experience with the antiepilepsy drug tiagabine.
A sparse sampling method is proposed to assess pharmacokinetic parameters after a single dose of the antiepilepsy drug tiagabine. Pharmacokinetic parameters obtained from two different pharmacokinetic studies were compared using sparse sampling (7 blood samples) with extensive sampling (15 to 16 blood samples). The results indicated that sparse blood samples taken at appropriate times can be used to estimate pharmacokinetic parameters as accurately as extensive blood samples. In addition, a limited sampling model (LSM) was developed using samples from 10 subjects at two time points (6 and 8 hours). The model was validated in 40 subjects and provided good population mean estimates of area under the concentration-time curve (AUC) and maximum concentration (Cmax). The sparse sampling method described here can be used to assess pharmacokinetic parameters in drug development provided a prior knowledge of the pharmacokinetics of a drug has been obtained from extensive sampling. Further, the LSM described here may be useful in estimating AUC and Cmax of tiagabine using two samples in clinical settings. The LSM approach described here can also be used to estimate AUC and Cmax of a drug in preclinical toxicokinetic studies without detailed pharmacokinetic studies.
Adult↗
Does percent reduction in seizure frequency correlate with plasma concentration of anticonvulsant drugs? Experience with four anticonvulsant drugs.
OBJECTIVE: To investigate the relationship between the percentage reduction in seizure frequency in patients with epilepsy and plasma concentrations after oral administration of 4 anticonvulsant drugs. METHODS: Patients with a minimum of 25% reduction in their seizure frequency from their baseline value were declared responders. The percentage reduction in seizure frequency was plotted against plasma concentrations with use of pharmacodynamic models (linear, log-linear, Emax, and sigmoidal Emax models). In addition to pharmacodynamic models, a logistic regression model was also fitted to the concentration-response data, with a value of 1 for responders and 0 for nonresponders. RESULTS: The concentration-effect relationship could not be adequately described either by the pharmacodynamic models or by the logistic regression analysis. CONCLUSIONS: Based on the results obtained from both pharmacodynamic models and logistic regression analysis the percentage reduction in seizure frequency may not be a true surrogate marker for anticonvulsant drugs to establish a pharmacodynamic relationship with plasma concentrations.
Anticonvulsants↗
Interspecies scaling of renally secreted drugs.
The objective of this study is to predict pharmacokinetic parameters (clearance, volume of distribution at steady state, and elimination half-life) in humans from animal data for drugs which are renally secreted in humans. Pharmacokinetic parameters of ten drugs were scaled-up from animal data obtained from the literature. Using simple allometry (pharmacokinetic parameter of interest vs body weight), total, renal and nonrenal clearances, volume of distribution and half-life were predicted in humans. The predicted parameters were compared with the observed parameters. The results of the study indicated that it is likely that the predicted total and renal clearances from animal data will be underestimated in humans for renally secreted drugs. The prediction of renal clearance was improved by normalizing the renal clearance by a 'correction factor' for animals who exhibited renal secretion. The predicted volume and half-life were comparable with the observed values in man. Overall, the results of this study indicate that caution should be employed in interpreting the total and renal clearance of renally secreted drugs predicted by the allometric approach.
Animals↗
Integration of in vitro data and brain weight in allometric scaling to predict clearance in humans: some suggestions.
Explore the source record for details and available documents.
Brain↗
A limited sampling method for the estimation of AUC and Cmax of carbamazepine and carbamazepine epoxide following a single and multiple dose of a sustained-release product.
AIMS: The objectives of this study are to develop a model to predict area under the curve (AUC) and maximum plasma concentration (Cmax) of carbamazepine (CBZ) and its active metabolite carbamazepine epoxide (CBZE) following single and multiple dose of CBZ using one or two samples in volunteers. METHODS: Limited sampling models (LSM) were developed for CBZ and CBZE following 200-800 mg single oral dose and 400-800 mg twice daily dose for 14 days of a sustained-release product (CBZ-SR) to estimate AUC and Cmax. The LSM was developed from a training data set of 15 subjects using one blood sample taken at 48 h following a single dose. The model was validated on 60 subjects who received different doses of CBZ. Following multiple dosing, the LSM was developed from a training data set of 10 subjects using the steady state Cmin (plasma concentration obtained 5 min before the last CBZ-SR dose). RESULTS: The model provided good estimates of AUC and Cmax for CBZ and CBZE. The bias and the precision of the predicted AUC and Cmax for CBZ and CBZE were less than 10% and 15%, respectively. Similar results were obtained when CBZ was given as multiple dose. CONCLUSIONS: The method described here may be used to estimate AUC and Cmax for CBZ and CBZE without detailed pharmacokinetic studies following single or multiple dose of CBZ.
Administration, Oral↗
Is 10 milligrams selegiline essential as an adjunct therapy for the symptomatic treatment of Parkinson's disease?
Selegiline is used as an adjunct to levodopa in the symptomatic treatment of Parkinson's disease (PD). The normal daily dose of selegiline is 10 mg administered orally. This study, based on monoamine oxidase-B (MAO-B) inhibition, investigates whether a reduction in selegiline dose can provide the same beneficial effects seen with a 10-mg dose. The inhibition of platelet MAO-B activity against multiple dosing of selegiline (2.5, 5, and 7.5 mg) was predicted from the data obtained from literature (0.5, 1.0, 1.5, and 10 mg). A pharmacokinetic-pharmacodynamic model for selegiline was also developed. The data suggested that by 96 hours (four doses) the inhibition of platelet MAO-B activity is approximately 95% after a daily dose of 2.5 mg selegiline, whereas it takes only 48 hours (two doses) for doses of 5 mg and 7.5 mg to achieve this degree of inhibition. The pharmacokinetic-pharmacodynamic model was best described by a sigmoidal Emax model with an effect compartment. Based on the inhibition of MAO-B activity, a reduction in daily oral dose of selegiline appears possible without compromising the therapeutic effect. Therefore, lower doses of selegiline should be tested in clinical trials.
Blood Platelets↗
Simple method for the estimation of absorption rate constant(ka) after oral administration.
This article describes a simple method for the estimation of absorption rate constant (ka ) after oral administration and compares the proposed method with some of the existing methods. The proposed method is based on a previous work of Urso and Aarons known as the regression method of truncated areas for the estimation of absolute bioavailability for drugs with a long elimination half-life. The following equation was used to estimate ka : Y(t) = ka. F - ka. X(t). Simple linear regression of Y(t) on X(t) results in a straight line with a slope of -ka, intercept on y-axis of ka F, and abscissa intercept F (absolute bioavailability). Different sets of plasma concentration versus time data for a hypothetical drug were generated by simulation. The estimated ka from the proposed method was compared with the Wagner-Nelson, Loo-Riegelman, and statistical moments methods. The results of this study indicated that the proposed regression method performed satisfactorily for a hypothetical drug that follows a one-compartment or two-compartment model with short or long half-life when tested under variable conditions (different absorption and elimination rate constants). The regression method of truncated areas can be used for the accurate estimation of ka for both short and long half-life drugs.
Absorption↗
Interspecies scaling: predicting volumes, mean residence time and elimination half-life. Some suggestions.
Extrapolation of animal data to assess pharmacokinetic parameters in man is an important tool in drug development. Clearance, volume of distribution and elimination half-life are the three most frequently extrapolated pharmacokinetic parameters. Extensive work has been done to improve the predictive performance of allometric scaling for clearance. In general there is good correlation between body weight and volume, hence volume in man can be predicted with reasonable accuracy from animal data. Besides the volume of distribution in the central compartment (Vc), two other volume terms, the volume of distribution by area (Vbeta) and the volume of distribution at steady state (VdSS), are also extrapolated from animals to man. This report compares the predictive performance of allometric scaling for Vc, Vbeta and VdSS in man from animal data. The relationship between elimination half-life (t(1/2)) and body weight across species results in poor correlation, most probably because of the hybrid nature of this parameter. To predict half-life in man from animal data, an indirect method (CL=VK, where CL=clearance, V is volume and K is elimination rate constant) has been proposed. This report proposes another indirect method which uses the mean residence time (MRT). After establishing that MRT can be predicted across species, it was used to predict half-life using the equation MRT=1.44 x t(1/2). The results of the study indicate that Vc is predicted more accurately than Vbeta and VdSS in man. It should be emphasized that for first-time dosing in man, Vc is a more important pharmacokinetic parameter than Vbeta or VdSS. Furthermore, MRT can be predicted reasonably well for man and can be used for prediction of half-life.
Animals↗