Key elements of bioanalytical method validation for small molecules

Method validation is a process that demonstrates that a method will successfully meet or exceed the minimum standards recommended in the Food and Drug Administration (FDA) guidance for accuracy, precision, selectivity, sensitivity, reproducibility, and stability. This article discusses the validation of bioanalytical methods for small molecules with emphasis on chromatographic techniques. We present current thinking on validation requirements as described in the current FDA Guidance and subsequent 2006 Bioanalytical Methods Validation Workshop white paper.     

A new approach to evaluate regression models during validation of bioanalytical assays

The quality of bioanalytical data is highly dependent on using an appropriate regression model for calibration curves. Non-weighted linear regression has traditionally been used but is not necessarily the optimal model. Bioanalytical assays generally benefit from using either data transformation and/or weighting since variance normally increases with concentration. A data set with calibrators ranging from 9 to 10000 ng/mL was used to compare a new approach with the traditional approach for selecting an optimal regression model. The new approach used a combination of relative residuals at each calibration level together with precision and accuracy of independent quality control samples over 4 days to select and justify the best regression model. The results showed that log-log transformation without weighting was the simplest model to fit the calibration data and ensure good predictability for this data set.     

Key elements of bioanalytical method validation for macromolecules

The Third American Association of Pharmaceutical Scientists/US Food and Drug Administration (FDA) Bioanalytical Workshop, which was held May 1 and 2, 2006, in Arlington, VA, addressed bioanalytical assays that are being used for the quantification of therapeutic candidates in support of pharmacokinetic evaluations. One of the main goals of this workshop was to discuss best practices used in bioanalysis regardless of the size of the therapeutic candidates. Since the last bioanalytical workshop, technological advancements in the field and in the statistical understanding of the validation issues have generated a variety of interpretations to clarify and understand the practicality of using the current FDA guidance for assaying macromolecular therapeutics. This article addresses some of the key elements that are essential to the validation of macromolecular therapeutics using ligand binding assays. Because of the nature of ligand binding assays, attempts have been made within the scientific community to use statistical approaches to interpret the acceptance criteria that are aligned with the prestudy validation and in-study validation (sample analysis) processes. We discuss, among other topics, using the total error criterion or confidence interval approaches for acceptance of assays and using anchor calibrators to fit the nonlinear regression models.     

Regulatory considerations for development of bioanalytical assays for biotechnology products

Ligand-binding assays are the predominant method used for determination of concentrations of biotechnology products in serum or other matrices, as well as for the determination of antidrug antibodies in nonclinical and clinical studies. The challenges regarding the design and validation of these assays are well understood. The US FDA published a Guidance for Industry on Bioanalytical Method Validation and a Draft Guidance for Industry on Assay Development for Immunogenicity Testing of Therapeutic Proteins. The purpose of this article is to highlight specific elements in these guidance documents that should also apply to new methods, discuss the application of new generation ligand-binding methods and LC-MS for these purposes and provide a scientific and regulatory perspective on the specific challenges assessing the pharmacokinetics and immunogenicity of monoclonal antibodies.     

LC-MS/MS bioanalytical challenge: ultra-high sensitivity assays

Anne-Fran?oise Aubry is Director of Bioanalytical Sciences at Bristol-Myers Squibb Co., leading a team in developing bioanalytical methods for early development drug candidates in support of toxicology and clinical studies. Her main research interests are high-speed, high-resolution LC and new approaches for LC-MS/MS drug bioanalysis in regulated laboratories. Anne Aubry is on the executive board of the Eastern Analytical Symposium and on the organizing committee of the Applied Pharmaceutical Analysis and Chemical and Pharmaceutical Structure Analysis (Shanghai 2011) conferences. The challenges of developing and running low pg/ml LC-MS/MS bioanalytical assays in a regulated laboratory are reviewed. The practical problems encountered in implementing ultrasensitive assays are less in reaching a suitable sensitivity on the instrument than in implementing procedures to control losses and contamination, eliminate matrix interferences and ensure assay robustness so that the assay can be validated to industry standards. Solutions to these problems can be found in each of the three facets of the bioanalytical assay: the sample preparation, the chromatographic separation and the mass spectrometric detection. The key to developing an ultrasensitive assay is to optimize each of these elements. Progress in MS instrumentation has been essential in our ability to reach the low pg/ml limits.     

Challenges in urine bioanalytical assays: overcoming nonspecific binding

Dr Allena Ji is the Director of Bioanalytical Services, XenoBiotic Laboratories, Inc., NJ, USA. She has worked in the bioanalytical field for many years and accumulated rich experience in LC-MS/MS method development, method validation and sample analysis under GLP compliance in large pharmaceutical company and contract laboratory settings. In the past 10 years, Allena worked at Pfizer (Legacy of Wyeth) and investigated many small-molecule drug candidates for their nonspecific binding in urine assays. Nonspecific binding of compounds results in a severe underestimation of the compounds' concentrations and poor precision and accuracy in urine bioanalytical assays. To overcome nonspecific binding in urine assays, Allena and her colleagues developed a series of practical approaches for urine method development. By adding an appropriate anti-adsorptive agent at its optimum concentration to the urine collection containers, the nonspecific binding can be blocked. Urine assays have much higher hurdles than plasma assays due to nonspecific binding and variability of urine pH, salt concentration, volume and solubility of drug(s) in urine. A simple and systematic approach for urine method development is emphasized in this paper. Nonspecific binding is a very serious issue in bioanalytical urine assays where a compound(s) adsorbs to the container wall. The adsorption happens frequently in urine assays because urine lacks proteins and lipids that can bind to the analytes or solubilize lipophilic analytes. Therefore, urine bioanalytical assays tend to suffer from analyte losses more often than plasma assays. In the past decade, there have been many methods described to overcome nonspecific adsorption in urine assays based on individual analyte characteristics. However, a common and simple method development approach for various analytes has not been discussed and summarized. In this article we demonstrate, discuss and summarize a common approach to urine method development with a focus on overcoming adsorption issues. The advantages and limitations of commonly used anti-adsorptive agents, such as bovine serum albumin, zwitterionic detergents such as CHAPS, sodium dodecyl benzene sulfonate, β-cyclodextrin, Tween 80 and Tween 20 are discussed.     

Cost-effective and business-beneficial computer validation for bioanalytical laboratories

Computerized system validation is often viewed as a burden and a waste of time to meet regulatory requirements. This article presents a different approach by looking at validation in a bioanalytical laboratory from the business benefits that computer validation can bring. Ask yourself the question, have you ever bought a computerized system that did not meet your initial expectations? This article will look at understanding the process to be automated, the paper to be eliminated and the records to be signed to meet the requirements of the GLP or GCP and Part 11 regulations. This paper will only consider commercial nonconfigurable and configurable software such as plate readers and LC-MS/MS data systems rather than LIMS or custom applications. Two streamlined life cycle models are presented. The first one consists of a single document for validation of nonconfigurable software. The second is for configurable software and is a five-stage model that avoids the need to write functional and design specifications. Both models are aimed at managing the risk each type of software poses whist reducing the amount of documented evidence required for validation.     

Challenges in developing bioanalytical assays for characterization of antibody-drug conjugates

With more than 34 targets being investigated and nearly 20 clinical trials at various phases of development, antibody-drug conjugates (ADCs) hold a lot of promise for improving oncological malignancy therapy. This therapeutic strategy designed to specifically or preferentially deliver a cytotoxic agent to tumor cells through conjugation to a monoclonal antibody is not new. Although this approach is relatively simple conceptually, the history of ADCs clearly attests to the high degree of complexity in their development. Each component of an ADC is important to achieve efficacy with minimal toxicity, and the ability to monitor this multicomponent therapeutic entity is deemed to be critical for their successful optimization. In this article we review the different bioanalytical strategies that have been implemented to characterize various ADCs and discuss the challenges and issues associated with these approaches.     

Aspects of bioanalytical method validation for the quantitative determination of trace elements

Bioanalytical methods are used to quantitatively determine the concentration of drugs, biotransformation products or other specified substances in biological matrices and are often used to provide critical data to pharmacokinetic or bioequivalence studies in support of regulatory submissions. In order to ensure that bioanalytical methods are capable of generating reliable, reproducible data that meet or exceed current regulatory guidance, they are subjected to a rigorous method validation process. At present, regulatory guidance does not necessarily account for nuances specific to trace element determinations. This paper is intended to provide the reader with guidance related to trace element bioanalytical method validation from the authors' perspective for two prevalent and powerful instrumental techniques: inductively coupled plasma-optical emission spectrometry and inductively coupled plasma-MS.     

EBF recommendation on the validation of bioanalytical methods for dried blood spots

Over the last few years bioanalysts, pharmacokineticists and clinical investigators have rediscovered the technique of dried blood spots. The revival has provided pharmaceutical R&D a wealth of opportunities to optimize the drug-discovery and development process with respect to animal and patient ethics, new scientific insights and costs savings. On the bioanalytical front, multiple experiments have been performed and a lot of experience has been gained. Nevertheless, the technique still has a number of bioanalytical challenges. The European Bioanalysis Forum discussed the advantages and hurdles of the technique and summarized their current thinking in a recommendation on the validation of bioanalytical methods for dried blood spots, which can be used as a cornerstone for further discussions and experiments.     

Reliable procedures to evaluate and repair crosstalk for bioanalytical MS/MS assays

Louis-Philippe Morin is a senior instrument application specialist at Algorithme Pharma, a CRO located in Laval, Canada. He has been working in the bioanalysis industry for the past 10 years where he became a subject matter expert in analytical instrumentation, especially in the MS field. His responsibilities in his current position are to optimize the workflow of the laboratory and to find new procedures, or approaches, to fix complex analytical problems. Louis-Philippe's expertise acquired over the years has led him to multiple publications regarding instrumentation. LC-MS/MS is the analytical technique of choice for the quantification of drugs in biological fluids. In recent years, MS/MS detection has been impacted by the rapid evolution of bioanalysis industry requirements. The availability of fast chromatographic systems, the demand for wider dynamic ranges and the extensive use of stable isotope-labeled internal standards in bioanalysis has pushed some triple quadrupole detectors to their limits of operation. Consequently, this situation has led to a re-evaluation of the problem of crosstalk as a potential cause of issues in bioanalysis. In this article, the importance of crosstalk verification on the MS/MS instrument will be demonstrated. Additionally, procedures to identify, evaluate and fix possible crosstalk issues during bioanalytical assays on MS/MS instruments are proposed.     

Stress-induced hyperthermia and anxiety: pharmacological validation

When mammals, including man, are confronted with a stressful event, their core body temperature rises, stress-induced hyperthermia. In mice, the stress-induced hyperthermia procedure has been developed to measure antistress or anxiolytic-like effects of psychoactive drugs. Group-housed and singly housed versions of the stress-induced hyperthermia generate comparable results. Because the number of animals needed to perform an experiment is much lower in the singly housed versus the group-housed procedure, the former is the test of choice for pharmacological testing. A typical stress-induced hyperthermia test starts with an injection 60 min before the first rectal temperature measurement (T(1)), followed by a second temperature measurement (T(2)) 10-15 min later. The difference DeltaT (=T(2)-T(1)) is the stress-induced hyperthermia. The procedure also measures the intrinsic activity of drugs on the basal body temperature and DeltaT is relatively independent from the intrinsic temperature effects of drugs. Anxiolytic drugs (benzodiazepines, 5-HT(1A) receptor agonists, alcohol) reduce DeltaT suggestive of anxiolytic-like effects. Because the parameter measured for anxiety in the stress-induced hyperthermia procedure is not dependent on locomotor activity, like in almost all other anxiety tests, the stress-induced hyperthermia procedure is an attractive addition to tests in the anxiety field. Because the stress-induced hyperthermia is also present with a comparable pharmacological profile in females, this procedure has a wide species and gender validity. The procedure was applied in various genetically modified mice [5-HT(1A) and 5-HT(1B) receptor knockout (KO) mice and corticotropin-releasing hormone overexpressing (CRH-OE) mice] to study phenotypic influences of the various mutations on aspects of anxiety. The stress-induced hyperthermia test in singly housed male and female mice appears a useful and extremely simple test to measure effects of drugs on certain aspects of anxiety or to help to determine phenotypic differences in mutant mice.     

Development and validation of a high-performance liquid chromatographic method for bioanalytical application with rimonabant

A simple and feasible high-performance liquid chromatographic method with UV detection was developed and validated for the quantification of rimonabant in human plasma. The chromatographic separation was carried out in a Hypersil BDS, C₁₈ column (250 mm × 4.6 mm; 5 μm). The mobile phase was a mixture of 10 mM phosphate buffer and acetonitrile (30:70, v/v) at a flow rate of 1.0 ml/min. The UV detection was set at 220 nm. The extraction recovery of rimonabant in plasma at three quality control (QC) samples was ranged from 84.17% to 92.64%. The calibration curve was linear for the concentration range of 20–400 ng/ml with the correlation coefficient (r²) above 0.9921. The method was specific and sensitive with the limit of quantification of 20 ng/ml. The accuracy and precision values obtained from six different sets of QC samples analyzed in separate occasions ranged from 88.13% to 106.48% and 0.13% to 3.61%, respectively. In stability tests, rimonabant in human plasma was stable during storage and assay procedure. The method is very simple, sensitive and economical and the assay was applied to human plasma samples in a clinical (pharmacokinetic) study of rimonabant.     

Advances in validation, risk and uncertainty assessment of bioanalytical methods

Bioanalytical method validation is a mandatory step to evaluate the ability of developed methods to provide accurate results for their routine application in order to trust the critical decisions that will be made with them. Even if several guidelines exist to help perform bioanalytical method validations, there is still the need to clarify the meaning and interpretation of bioanalytical method validation criteria and methodology. Yet, different interpretations can be made of the validation guidelines as well as for the definitions of the validation criteria. This will lead to diverse experimental designs implemented to try fulfilling these criteria. Finally, different decision methodologies can also be interpreted from these guidelines. Therefore, the risk that a validated bioanalytical method may be unfit for its future purpose will depend on analysts personal interpretation of these guidelines. The objective of this review is thus to discuss and highlight several essential aspects of methods validation, not only restricted to chromatographic ones but also to ligand binding assays owing to their increasing role in biopharmaceutical industries. The points that will be reviewed are the common validation criteria, which are selectivity, standard curve, trueness, precision, accuracy, limits of quantification and range, dilutional integrity and analyte stability. Definitions, methodology, experimental design and decision criteria are reviewed. Two other points closely connected to method validation are also examined: incurred sample reproducibility testing and measurement uncertainty as they are highly linked to bioanalytical results reliability. Their additional implementation is foreseen to strongly reduce the risk of having validated a bioanalytical method unfit for its purpose.     

RNAi versus small molecules: different mechanisms and specificities can lead to different outcomes

The methodology of RNA interference (RNAi) arrived on the scene of mammalian systems research in 2001. Since that time, there has been widespread use of this technology in both academic and industrial settings. RNAi and small molecules were initially considered as equivalent methods for inhibiting protein activity within cells, but as our understanding of the mechanism of RNAi has improved, it has become apparent that differences in their cellular mechanisms have unexpected consequences. There can be profound differences in the phenotypic outcomes of treatment with RNAi versus small molecules. This review discusses the similarities, as well as the predicted differences between RNAi and small molecule effects on therapeutic paradigms and drug discovery.     

Morphochem: breeding small molecules

Morphochem integrates innovative chemistry with bio- and chemoinformatics and the post-genomic biology tools of drug discovery. The company has built a highly efficient drug discovery engine, leveraging the ideas of chemical genomics and applying Nature's principles of evolution towards the parallel and high-speed discovery and optimization of small molecules into novel drug candidates.