Signature peptide selection workflow for biomarker quantification using LC-MS-based targeted proteomics.

In contrast to quantification of biotherapeutics, endogenous protein biomarker and target quantification using LC-MS based targeted proteomics can require a much more stringent and time-consuming tryptic signature peptide selection for each specific application. While some general criteria exist, there are no tools currently available in the public domain to predict the ionization efficiency for a given signature peptide candidate. Lack of knowledge of the ionization efficiencies forces investigators to choose peptides blindly, thus hindering method development for low abundant protein quantification. Here, the authors propose a tryptic signature peptide selection workflow to achieve a more efficient method development and to improve success rates in signature peptide selection for low abundant endogenous target and protein biomarker quantification.

Integrity and efficiency: AbbVie's journey of building an integrated nonregulated bioanalytical laboratory.

While bioanalytical outsourcing is widely adopted in the pharmaceutical industry, AbbVie is one of the few large biopharmaceutical companies having an internal bioanalytical unit to support nearly all its drug metabolism and pharmacokinetic studies. This article highlights our experience and perspective in building an integrated and centralized laboratory to provide early discovery and preclinical-stage bioanalytical support with high operational efficiency, cost-effectiveness and data integrity. The advantages of in-house nonregulated bioanalytical support include better control of data quality, faster turnaround times, real-time knowledge sharing and troubleshooting, and lower near- and long-term costs. The success of an in-house model depends upon a comprehensively optimized and streamlined workflow, fueled by continuous improvements and implementation of innovative technologies.

Comparison of three parallelism assessment methods of biomarker quantification by LC-MS/MS: a case study of the bioanalysis of creatinine in human urine samples.

Background: Currently, no regulatory guidelines are available for parallelism assessment for LC-MS biomarker quantification. Spike recovery, standard addition and dilutional linearity are recommended with no mention of the implications of applying these approaches. Results: Here, using human urine creatinine, the authors compared spike recovery and standard addition in LC-MS biomarker quantification, and evaluated a new hybrid approach: parallelism QCs. The authors drew different conclusions based on which approach was used (<15% cutoff). Conclusion: Current recommended approaches may lead to different conclusions and are not equivalent and interchangeable. The authors recommend that standard addition should be the universal 'go-to' method for LC-MS biomarker parallelism assessment; parallelism QCs, which consider the total concentration as the theoretical value, can be used if the authentic matrix is limited.

A homologous series of internal standards for near universal application in the discovery LC-MS/MS bioanalytical laboratory.

When using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) to quantify In Vivo samples, an internal standard (ISTD) is key in correcting for variability within the sample extraction process and injection volume. Just as important is the ability of the internal standard to identify any matrix effects, which can artificially suppress or enhance the signal of the compound of interest. To properly do this, the internal standard should co-elute with the compound. A common source of potential matrix effects with In Vivo studies is from the excipient(s) used to formulate the compound for dosing. In the world of high-throughput discovery bioanalysis, a lab can quantitate over a hundred compounds each week, many of which are evaluated once, and rarely is a stable-isotope labeled (SIL) internal standard available (the industry gold standard). Finding a suitable and easy-to-use alternative LC-MS/MS method is important to providing high quality data. To overcome this challenge, a homologous series of compounds was synthesized to improve the chromatographic range for co-eluting ISTD's. This novel mix of internal standards was shown to have key characteristics making it ideal for use as a near universal internal standard mix including but not limited to: they ionize in both positive and negative modes, they are susceptible to signal perturbation from common formulation excipients, and they cover a wide range of retention times.

Analytical method considerations regarding carryover for monophosphate prodrugs for in vivo samples by liquid chromatography-tandem mass spectrometry.

Three different components that impact carryover in a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method were evaluated to establish baseline conditions for analyzing in vivo samples for twelve monophosphate prodrug compounds and their corresponding parent compounds. The three components were: wash solvent modifier, column shell material (metal vs. metal free), and tubing composition. These components were tested for their impact on system carryover by using rat plasma extracted samples. It was determined that a wash solution containing hexylamine yielded the lowest average carryover of the solutions tested. In addition, metal free columns and PEEK (poly ether ether ketone) tubing yielded the lowest carryover when compared to metal columns, stainless steel tubing and nickel tubing. These conditions were also tested against the parent molecules for each prodrug in the test set, to ensure that changing the conditions for the prodrugs did not impact the ability to analyze the parent, since there is typically a desire to measure both compounds in study samples. Under all conditions, the carryover of the corresponding parent molecule was not adversely impacted in these studies.

Correction to: A Semi-Physiologically Based Pharmacokinetic Model Describing the Altered Metabolism of Midazolam Due to Inflammation in Mice.

One of the authors has his name incorrectly indexed in PubMed and SpringerLink as "Laird Forrest M" (last name "Laird Forrest"). His name should index as "Forrest M. Laird" with last name as "Forrest".

A Semi-Physiologically Based Pharmacokinetic Model Describing the Altered Metabolism of Midazolam Due to Inflammation in Mice.

PURPOSE: To investigate influence of inflammation on metabolism and pharmacokinetics (PK) of midazolam (MDZ) and construct a semi-physiologically based pharmacokinetic (PBPK) model to predict PK in mice with inflammatory disease. METHODS: Glucose-6-phosphate isomerase (GPI)-mediated inflammation was used as a preclinical model of arthritis in DBA/1 mice. CYP3A substrate MDZ was selected to study changes in metabolism and PK during the inflammation. The semi-PBPK model was constructed using mouse physiological parameters, liver microsome metabolism, and healthy animal PK data. In addition, serum cytokine, and liver-CYP (cytochrome P450 enzymes) mRNA levels were examined. RESULTS: The in vitro metabolite formation rate was suppressed in liver microsomes prepared from the GPI-treated mice as compared to the healthy mice. Further, clearance of MDZ was reduced during inflammation as compared to the healthy group. Finally, the semi-PBPK model was used to predict PK of MDZ after GPI-mediated inflammation. IL-6 and TNF-α levels were elevated and liver-cyp3a11 mRNA was reduced after GPI treatment. CONCLUSION: The semi-PBPK model successfully predicted PK parameters of MDZ in the disease state. The model may be applied to predict PK of other drugs under disease conditions using healthy animal PK and liver microsomal data as inputs.

Development of a rapid and sensitive multiple reaction monitoring proteomic approach for quantification of transporters in human liver tissue.

With increasing knowledge on the role of hepatic transporters in drug disposition, numerous efforts have been described to quantify the expression of human hepatic transporters. However, reported quantitative proteomic approaches often require long analysis times. Additionally, greater assay sensitivity is still necessary for less abundant transporters or limited quantity of samples (e.g. hepatocytes and liver tissue). In the present study, an LC-MS/MS method for rapid and simultaneous quantification of 12 hepatic transporters (BCRP, BSEP, MATE1, MRP2, MRP3, MRP4, NTCP, OATP1B1, 1B3, 2B1, OCT1, and P-gp) was developed. Using a high LC flow rate (1.5mL/min) and fast LC gradient (4min total cycle time), the run time was markedly reduced to 4min, which was much shorter than most previously published assays. Chromatographic separation was achieved using ACE UltraCore SuperC18 50mm×2.1mm 5-µm HPLC column. In addition, greater analytical sensitivity was achieved with both high LC flow rate/fast LC gradient and post-column infusion of ethylene glycol. The on-column LLOQ for signature peptides in this method ranged from 0.194 to 0.846 femtomoles. The impact of five protein solubilizers, including extraction buffer II of ProteoExtract Native Membrane Protein Extraction Kit, 3% (w/v) sodium deoxycholate, 20% (v/v) Invitrosol, 0.2% (w/v) RapiGest SF, and 10% (w/v) formamide on total membrane protein extraction and trypsin digestion was investigated. Sodium deoxycholate was chosen because of good total membrane protein extraction and trypsin digestion efficiency, as well as no significant MS interference. Good precision (within 15% coefficient of variation) and accuracy (within ±15% bias), and inter-day trypsin digestion efficiency (within 28% coefficient of variation) was observed for quality controls. This method can quantify human hepatic transporter expression in a high-throughput manner and due to the increased sensitivity can be used to investigate the down-regulation of hepatic transporter protein (e.g., different ethnic groups and liver disease patients).

The Impact of the Hepatocyte-to-Plasma pH Gradient on the Prediction of Hepatic Clearance and Drug-Drug Interactions for CYP2C9 and CYP3A4 Substrates.

Surrogate assays for drug metabolism and inhibition are traditionally performed in buffer systems at pH 7.4, despite evidence that hepatocyte intracellular pH is 7.0. This pH gradient can result in a pKa-dependent change in intracellular/extracellular concentrations for ionizable drugs that could affect predictions of clearance and P450 inhibition. The effect of microsomal incubation pH on in vitro enzyme kinetic parameters for CYP2C9 (diclofenac, (S)-warfarin) and CYP3A4 (midazolam, dextromethorphan, testosterone) substrates, enzyme specific reversible inhibitors (amiodarone, desethylamiodarone, clozapine, nicardipine, fluconazole, fluvoxamine, itraconazole) and a mechanism-based inhibitor (amiodarone) was investigated. Intrinsic clearance through CYP2C9 significantly increased (25% and 50% for diclofenac and (S)-warfarin respectively) at intracellular pH 7.0 compared with traditional pH 7.4. The CYP3A4 substrate dextromethorphan intrinsic clearance was decreased by 320% at pH 7.0, while midazolam and testosterone remained unchanged. Reversible inhibition of CYP2C9 was less potent at pH 7.0 compared with 7.4, while CYP3A4 inhibition potency was variably affected. Maximum enzyme inactivation rate of amiodarone toward CYP2C9 and CYP3A4 decreased at pH 7.0, while the irreversible inhibition constant remained unchanged for CYP2C9, but decreased for CYP3A4 at pH 7.0. Predictions of clearance and drug-drug interactions made through physiologically based pharmacokinetic models were improved with the inclusion of predicted intracellular concentrations based at pH 7.0 and in vitro parameters determined at pH 7.0. No general conclusion on the impact of pH could be made and therefore a recommendation to change buffer pH to 7.0 cannot be made at this time. It is recommended that the appropriate hepatocyte intracellular pH 7.0 be used for in vitro determinations when in vivo predictions are made.

The Impact of the Hepatocyte-to-Plasma pH Gradient on the Prediction of Hepatic Clearance and Drug-Drug Interactions for CYP2D6 Substrates.

The proton gradient from the intracellular space to plasma creates an unbound drug gradient for weak acids and bases that could modulate apparent drug clearance and drug-drug interactions. Cytochrome P450 intrinsic clearance and inhibitor potency are routinely determined in vitro at the plasma pH of 7.4 rather than the intrahepatocyte pH of 7.0. We determined the impact of pH on in vitro enzyme kinetic parameters and inhibition potency for substrates (bufuralol, dextromethorphan), reversible inhibitors (quinidine, amiodarone, desethylamiodarone, clozapine), and mechanism-based inhibitors (paroxetine, desethylamiodarone) of the major drug metabolizing-enzyme CYP2D6. The lower intracellular pH 7.0 compared with pH 7.4 resulted in a 60 and 50% decrease in intrinsic clearance for the substrates bufuralol and dextromethorphan, respectively. Reversible inhibition constants for three of the four inhibitors tested were unaffected by pH, whereas for the inhibitor quinidine, a 2-fold increase in the inhibition constant was observed at pH 7.0. For time-dependent inhibitors desethylamiodarone and paroxetine, changes in time-dependent inhibition parameters were different for each inhibitor. These results were incorporated into physiologically based pharmacokinetic models indicating that the changes in in vitro parameters determined at pH 7.0 offset the effect of increased unbound intracellular concentrations on apparent clearance and extent of drug-drug interactions. However, this offset between concentration and enzyme activity cannot be generalized for all substrates, inhibitors, and enzymes, as the effect of a lower pH in vitro varied significantly; therefore, it would be prudent to determine in vitro enzyme parameters at the hepatocyte-appropriate pH 7.0.

Difference in the Pharmacokinetics and Hepatic Metabolism of Antidiabetic Drugs in Zucker Diabetic Fatty and Sprague-Dawley Rats.

The Zucker diabetic fatty (ZDF) rat, an inbred strain of obese Zucker fatty rat, develops early onset of insulin resistance and displays hyperglycemia and hyperlipidemia. The phenotypic changes resemble human type 2 diabetes associated with obesity and therefore the strain is used as a pharmacological model for type 2 diabetes. The aim of the current study was to compare the pharmacokinetics and hepatic metabolism in male ZDF and Sprague-Dawley (SD) rats of five antidiabetic drugs that are known to be cleared via various mechanisms. Among the drugs examined, metformin, cleared through renal excretion, and rosiglitazone, metabolized by hepatic cytochrome P450 2C, did not exhibit differences in the plasma clearance in ZDF and SD rats. In contrast, glibenclamide, metabolized by hepatic CYP3A, canagliflozin, metabolized mainly by UDP-glucuronosyltransferases (UGT), and troglitazone, metabolized by sulfotransferase and UGT, exhibited significantly lower plasma clearance in ZDF than in SD rats after a single intravenous administration. To elucidate the mechanisms for the difference in the drug clearance, studies were performed to characterize the activity of hepatic drug-metabolizing enzymes using liver S9 fractions from the two strains. The results revealed that the activity for CYP3A and UGT was decreased in ZDF rats using the probe substrates, and decreased unbound intrinsic clearance in vitro for glibenclamide, canagliflozin, and troglitazone was consistent with lower plasma clearance in vivo. The difference in pharmacokinetics of these two strains may complicate pharmacokinetic/pharmacodynamic correlations, given that ZDF is used as a pharmacological model, and SD rat as the pharmacokinetics and toxicology strain.

Evaluation and Optimization of Blood Micro-Sampling Methods: Serial Sampling in a Cross-Over Design from an Individual Mouse.

PURPOSE: Current practices applied to mouse pharmacokinetic (PK) studies often use large numbers of animals with sporadic or composite sampling that inadequately describe PK profiles.  The purpose of this work was to evaluate and optimize blood microsampling techniques coupled with dried blood spot (DBS) and LC-MS/MS analysis to generate reliable PK data in mice.  In addition, the feasibility of cross-over designs was assessed and recommendations are presented. METHODS: The work describes a comprehensive evaluation of five blood microsampling techniques (tail clip, tail vein with needle hub, submandibular, retro-orbital, and saphenous bleeding) in CD-1 mice.  The feasibility of blood sampling was evaluated based on animal observations, ease of bleeding, and ability to collect serial samples.  Methotrexate, gemfibrozil and glipizide were used as test compounds and were dosed either orally or intravenously, followed by DBS collection and LC-MS/MS analysis to compare PK with various bleeding methods. RESULTS: Submandibular and retro-orbital methods that required non-serial blood collections did not allow for inter-animal variability assessments and resulted in poorly described absorption and distribution kinetics.  The submandibular and tail vein with needle-hub methods were the least favorable from a technical feasibility perspective.  Serial bleeding was possible with cannulated animals or saphenous bleeding in non-cannulated animals. CONCLUSIONS:   Of the methods that allowed serial sampling, the saphenous method when executed as described in this report, was most practical, reproducible and provided for assessment of inter-animal variability.  It enabled the collection of complete exposure profiles from a single mouse and the conduct of an intravenous/oral cross-over study design.  This methodology can be used routinely, it promotes the 3Rs principles by achieving reductions in the number of animals used, decreased restraints and animal stress, and improved the quality of data obtained in mouse PK studies. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.

Absolute bioavailability of evacetrapib in healthy subjects determined by simultaneous administration of oral evacetrapib and intravenous [(13) C8 ]-evacetrapib as a tracer.

This open-label, single-period study in healthy subjects estimated evacetrapib absolute bioavailability following simultaneous administration of a 130-mg evacetrapib oral dose and 4-h intravenous (IV) infusion of 175 µg [(13) C8 ]-evacetrapib as a tracer. Plasma samples collected through 168 h were analyzed for evacetrapib and [(13) C8 ]-evacetrapib using high-performance liquid chromatography/tandem mass spectrometry. Pharmacokinetic parameter estimates following oral and IV doses, including area under the concentration-time curve (AUC) from zero to infinity (AUC[0-∞]) and to the last measureable concentration (AUC[0-tlast ]), were calculated. Bioavailability was calculated as the ratio of least-squares geometric mean of dose-normalized AUC (oral : IV) and corresponding 90% confidence interval (CI). Bioavailability of evacetrapib was 44.8% (90% CI: 42.2-47.6%) for AUC(0-∞) and 44.3% (90% CI: 41.8-46.9%) for AUC(0-tlast ). Evacetrapib was well tolerated with no reports of clinically significant safety assessment findings. This is among the first studies to estimate absolute bioavailability using simultaneous administration of an unlabeled oral dose with a (13) C-labeled IV microdose tracer at about 1/1000(th) the oral dose, with measurement in the pg/mL range. This approach is beneficial for poorly soluble drugs, does not require additional toxicology studies, does not change oral dose pharmacokinetics, and ultimately gives researchers another tool to evaluate absolute bioavailability.

In vitro characterization of the bioconversion of pomaglumetad methionil, a novel metabotropic glutamate 2/3 receptor agonist peptide prodrug.

To characterize the hydrolysis of the peptide prodrug pomaglumetad methionil (LY2140023; (1R,4S,5S,6S)-4-(L-methionylamino)-2-thiabicyclo[3.1.0]hexane-4,6-dicarboxylic acid 2,2-dioxide), to the active drug LY404039 [(1R,4S,5S,6S)-4-amino-2-thiabicyclo[3.1.0]hexane-4,6-dicarboxylic acid 2,2-dioxide], a series of in vitro studies were performed in various matrices, including human intestinal, liver, kidney homogenate, and human plasma. The studies were performed to determine the tissue(s) and enzyme(s) responsible for the conversion of the prodrug to the active molecule. This could enable an assessment of the risk for drug interactions, an evaluation of pharmacogenomic implications, as well as the development of a Physiologically Based Pharmacokinetic (PBPK) model for formation of the active drug. Of the matrices examined, hydrolysis of pomaglumetad methionil was observed in intestinal and kidney homogenate preparations and plasma, but not in liver homogenate. Clearance values calculated after applying standard scaling factors suggest the intestine and kidney as primary sites of hydrolysis. Studies with peptidase inhibitors were performed in an attempt to identify the enzyme(s) catalyzing the conversion. Near complete inhibition of LY404039 formation was observed in intestinal and kidney homogenate and human plasma with the selective dehydropeptidase1 (DPEP1) inhibitor cilastatin. Human recombinant DPEP1 was expressed and shown to catalyze the hydrolysis, which was completely inhibited by cilastatin. These studies demonstrate pomaglumetad methionil can be converted to LY404039 via one or multiple enzymes completely inhibited by cilastatin, likely DPEP1, in plasma, the intestine, and the kidney, with the plasma and kidney involved in the clearance of the circulating prodrug. These experiments define a strategy for the characterization of enzymes responsible for the metabolism of other peptide-like compounds.

High sensitive assay employing column switching chromatography to enable simultaneous quantification of an amide prodrug of gemcitabine (LY2334737), gemcitabine, and its metabolite dFdU in human plasma by LC-MS/MS.

In this study we report a high sensitive method for the simultaneous analysis of LY2334737 (2'-deoxy-2',2'-difluoro-N-(1-oxo-2-propylpentyl)-cytidine), an amide prodrug of gemcitabine (2', 2'-difluoro-deoxycytidine), along with its active drug gemcitabine and its major metabolite dFdU (2',2'-difluoro-deoxyuridine) by LC-MS/MS. Quantification of all three analytes within a single analysis was challenging because the physio-chemical properties of LY2334737 were significantly different from gemcitabine and dFdU and was accomplished by incorporating column-switching. The assay was fully validated to quantify LY2334737 from 0.1 to 100ng/mL, gemcitabine from 0.25 to 100ng/mL and dFdU from 1 to 1000ng/mL in order to cover the diverse concentration ranges expected in clinical samples. A 25-fold dilution was also validated to accommodate any samples outside this range. Overall, the assay had good accuracy (ranging from -7.0 to 1.2% relative error) and precision (ranging from 2.1 to 8.4% relative standard deviation). Extraction efficiency was greater than 80% for all three analytes and there were no matrix effects. Plasma samples were stable for 24h at room temperature, 660 days in frozen storage, and at least 4 freeze-thaw cycles, at both -20 and -70°C. Data from clinical trials showed that plasma concentrations for LY2334737, gemcitabine, and dFdU were successfully quantified from a single LC-MS/MS analysis and that the assay ranges selected for the three analytes were appropriate and minimized the need for reanalysis.

Preclinical bridging studies: understanding dried blood spot and plasma exposure profiles.

BACKGROUND: Understanding the distribution of the analyte between the cellular and noncellular (plasma) components of the blood is important, especially in situations where dried blood spot (DBS) data need to be compared with plasma data, or vice versa. RESULTS: Pearson's coefficient, Lin's coefficient and the Bland-Altman analysis are appropriate to evaluate the concordance between DBS and plasma data from bridging studies. Percent recovery plots generated using the ex vivo blood:plasma ratio and the regression equations demonstrate the best approach for predicting plasma concentrations from DBS. CONCLUSION: Statistical analysis of bridging study data is needed to characterize the relationship or concordance between blood (DBS) and plasma. The outcomes also provide guidance on selecting the most appropriate approach to transform DBS data to plasma, or vice versa. However, the biological and statistical evidence must be weighed together when deciding if DBS is suitable for preclinical and/or clinical development.

Comparative pharmacokinetics studies of immediate- and modified-release formulations of glipizide in pigs and dogs.

The utility of pigs as preclinical animals for pharmaceutical development was assessed by evaluating the pharmacokinetics and pharmacodynamics of glipizide (Glucotrol®) following oral administration of immediate-release (IR) and modified-release (MR) formulations. Doses of 10 and 30 mg were administered to six male pigs in a crossover design. Blood samples were collected at selected time-points up to 48 h after dose. Relative to the IR formulation, the time to reach the maximum concentration (t(max) ) was delayed with the MR formulation from 1.3 to 8.7 h with the 10 mg dose and to 6.2 h with the 30 mg dose. The relative bioavailability (BA) was approximately 92% at 10 mg and 79% at 30 mg dose. The area under the curve of the plasma concentration versus time curve (AUC) increased nearly proportionally with the dose. Interanimal coefficient of variation (CV) in AUC ranged from approximately 40% to 60%. Blood glucose results suggest that pigs demonstrate formulation-dependent response to glipizide. Compared with the pigs, the 10 mg MR formulation in dogs showed a higher AUC CV of approximately 80%, a t(max) of 5.5 h, and a lower relative BA of 18%. These data indicate that the MR formulation performed less consistently in dogs as compared with humans, whereas the porcine absorption kinetics and BA were consistent with published clinical data.

Characterization of the expression and activity of carboxylesterases 1 and 2 from the beagle dog, cynomolgus monkey, and human.

The carboxylesterases (CESs) are a family of serine hydrolases that hydrolyze compounds containing an ester, amide, or thioester. In humans, two dominant forms, CES1 and CES2, are highly expressed in organs of first-pass metabolism and play an important role in xenobiotic metabolism. The current study was conducted to better understand species-related differences in substrate selectivity and tissue expression of these enzymes. To elucidate potential similarities and differences among these enzymes, a series of 4-nitrophenyl esters and a series of gemcitabine prodrugs were evaluated using enzyme kinetics as substrates of expressed and purified CESs from beagle dog, cynomolgus monkey, and human genes. For the substrates examined, human and monkey CES2 more efficiently catalyzed hydrolysis compared with CES1, whereas CES1 was the more efficient enzyme in dog. Quantitative real-time polymerase chain reaction and Western blot analyses indicate that the pattern of CES tissue expression in monkey is similar to that of human, but the CES expression in dog is unique, with no detectable expression of CES in the intestine. Loperamide, a selective human CES2 inhibitor, was also found to be a CES2-selective inhibitor in both dog and monkey. This is the first study to examine substrate specificity among dog, human, and monkey CESs.

Dried blood spot sampling: coupling bioanalytical feasibility, blood-plasma partitioning and transferability to in vivo preclinical studies.

BACKGROUND: The adoption of dried blood spot (DBS) sampling and analysis to support drug discovery and development requires the understanding of its bioanalytical feasibility as well as the distribution of the analyte in blood. RESULTS: Demonstrated the feasibility of adopting DBS for four test analytes representing diverse physico-chemical as well as pharmacokinetic parameters. The key findings include the use of a single extraction procedure across all four analytes, assay range of 1 to 5000 ng/ml, stability in whole blood as well as on-card, and the non-impact of blood volume. In vivo data were used to calculate the blood-to-plasma ratio (using both AUC and average of individual time points), which was then used to predict plasma concentration from DBS data. The predicted data showed an excellent correlation with actual plasma data. CONCLUSION: Transition from plasma to DBS can be supported for preclinical studies by conducting a few well-defined bioanalytical experiments followed by an in vivo bridging study. Blood:plasma ratio derived from the bridging study can be used to predict plasma concentrations from DBS data.

Validation of 96-well equilibrium dialysis with non-radiolabeled drug for definitive measurement of protein binding and application to clinical development of highly-bound drugs.

Definitive plasma protein binding (PB) studies in drug development are routinely conducted with radiolabeled material, where the radiochemical purity limits quantitative PB measurement. Recent and emerging regulatory guidances increasingly expect quantitative determination of the fraction unbound (Fu) for key decision making. In the present study, PB of 11 structurally- and therapeutically-diverse drugs spanning the full range of plasma binding was determined by equilibrium dialysis of non-radiolabeled compound and was validated against the respective definitive values obtained by accepted radiolabeled protocols. The extent of plasma binding was in agreement with the radiolabeled studies; however, the methodology reported herein enables reliable quantification of Fu values for highly-bound drugs and is not limited by the radiochemical purity. In order to meet the rigor of a development study, equilibrium dialysis of unlabeled drug must be supported by an appropriately validated bioanalytical method along with studies to determine compound solubility and stability in matrix and dialysis buffer, nonspecific binding to the dialysis device, and ability to achieve equilibrium in the absence of protein. The presented methodology establishes an experimental protocol for definitive PB measurement, which enables quantitative determination of low Fu values, necessary for navigation of new regulatory guidances in clinical drug development.