Application of in-sample calibration curve methodology for regulated bioanalysis: Critical considerations in method development, validation and sample analysis.

Traditionally, for a liquid chromatography tandem mass spectrometry (LC-MS/MS) bioanalytical assay, an external calibration curve is required to achieve accurate quantitation of an analyte. Recently, a novel in-sample calibration curves (ISCC) methodology that can achieve quick and accurate LC-MS/MS bioanalysis without the use of an external calibration curve was reported. The ISCC methodology utilizes the presence of multiple naturally occurring isotopologues of a stable isotopically labeled analyte to construct an in-sample calibration curve for the quantification. This methodology has great potential in many applications, for example biomarker measurement, quantitative proteomics and clinical diagnosis. Here, we assessed the feasibility of applying this ISCC-LC-MS/MS methodology in regulated bioanalysis using BMS-984478, a drug candidate, as the model compound. We also proposed method validation procedures/processes for this new approach for industry peers' consideration and feedback. A LC-MS/MS method using the ISCC strategy was successfully developed and validated for the quantitative analysis of BMS-984478 in human plasma over the range of 1.33-993.42 ng/mL. The validated ISCC-LC-MS/MS method was compared with a previously validated method using the conventional external calibration curve approach, and the two methods showed equivalent performance. Critical considerations and practical approaches in method development, validation and sample analysis were also discussed. Our work demonstrated that the ISCC-LC-MS/MS methodology is a promising approach for regulated LC-MS/MS bioanalysis. ISCC-LC-MS/MS methodology has its unique advantages and has great potential to be widely applied for various quantitative applications, and may even change the landscape of quantitative analysis.

A Fit-for-Purpose Method for the Detection of Human Antibodies to Surface-Exposed Components of BMS-986263, a Lipid Nanoparticle-Based Drug Product Containing a siRNA Drug Substance.

ND-L02-s0201/BMS-986263 is a lipid nanoparticle (LNP) drug product containing a heat shock protein 47 (HSP47)-specific small interfering ribonucleic acid (siRNA) and being developed for the treatment of liver and idiopathic pulmonary fibrosis. To address immunogenicity-related issues, we developed a robust, fit-for-purpose (FFP) three-tier electrochemiluminescent (ECL) anti-drug antibody (ADA) assay for the detection of antibodies (Abs) generated to surface-exposed components of BMS-986263. The drug was coated directly on plates, and several Abs specific for polyethylene glycol (PEG) and other surface components were tested for use as positive quality controls (QCs). Following selection of a rabbit monoclonal anti-PEG Ab, the assay was optimized, and various method development challenges specific to the modality and pseudo surrogate rabbit control were addressed. Screening, confirmatory, and titer cut points were validated following a statistical evaluation of 41 individual K2EDTA human plasma samples at a minimum required dilution (MRD) of 100. Assay precision, sensitivity, selectivity, drug tolerance, and hook effect were determined for the rabbit Ab prepared in human K2EDTA plasma matrix. The assay was used to interrogate anti-drug Ab (ADA) responses in normal human subjects who were administered 90 mg of the drug intravenously (IV) once every week for 3 weeks in phase I clinical trials. All pre- and post-dose samples were found to be negative for ADA. Based on these results, we concluded that BMS-986263 is not immunogenic. To the best of our knowledge, this work represents the first ADA method developed and reported for an LNP-based drug product.

A practical workflow for capillary microsampling in nonclinical studies.

Aim: The result of investigation on the procedure of sample handling and bioanalysis of small volume of plasma sample for nonclinical studies stored in 0.5-ml micronic tubes was reported. Results/methodology: Sample integrity of the small volume (25 µl) during long-term storage and the feasibility and data reliability of performing multiple re-assays on the small volume sample using 5 µl aliquot per analysis was evaluated. Conclusion: Integrity was maintained in samples (25 µl) stored for up to 1 month in 0.5-ml micronic tubes at -20°C. A 25 µl sample is sufficient for four-times of re-assays. This evaluation demonstrated the feasibility of this workflow of handling and bioanalysis on small volume plasma sample for GLP studies under the US FDA guidance.

Evaluating a Multiscale Mechanistic Model of the Immune System to Predict Human Immunogenicity for a Biotherapeutic in Phase 1.

A mechanistic model of the immune response was evaluated for its ability to predict anti-drug antibody (ADA) and their impact on pharmacokinetics (PK) and pharmacodynamics (PD) for a biotherapeutic in a phase 1 clinical trial. Observed ADA incidence ranged from 33 to 67% after single doses and 27-50% after multiple doses. The model captured the single dose incidence well; however, there was overprediction after multiple dosing. The model was updated to include a T-regulatory (Treg) cell mediated tolerance, which reduced the overprediction (relative decrease in predicted incidence rate of 21.5-59.3% across multidose panels) without compromising the single dose predictions (relative decrease in predicted incidence rate of 0.6-13%). The Treg-adjusted model predicted no ADA impact on PK or PD, consistent with the observed data. A prospective phase 2 trial was simulated, including co-medication effects in the form of corticosteroid-induced immunosuppression. Predicted ADA incidences were 0-10%, depending on co-medication dosage. This work demonstrates the utility in applying an integrated, iterative modeling approach to predict ADA during different stages of clinical development.

Development of a Chemiluminescent ELISA Method for the Detection of Total Anti-Adeno Associated Virus Serotype 9 (AAV9) Antibodies.

Recombinant adeno associated viruses (rAAV) have become an important tool for the delivery of gene therapeutics due to long-standing safety and success in clinical trials. Since humans often become exposed to AAVs and develop anti-AAV antibodies (Abs), a potential impediment to the success of gene therapeutics is neutralization of the viral particle before it has had a chance to bind and enter target cells to release the transgene. Identification of subjects with preexisting Abs having neutralizing potential, and exclusion of such subjects from clinical studies is expected to enhance drug efficacy. In vitro cell-based reporter assays are most often employed to determine the level of neutralizing antibodies in a given population. Such assays measure the ability of the Abs to prevent viral binding and entry into cells by engaging epitopes on the viral capsid involved in host cell receptor binding. In general, cell-based assays are low throughput and labor intensive and may suffer from high variability and low sensitivity issues. In contrast, enzyme-linked immunosorbent assays (ELISAs) are simpler, less variable, and have higher throughput. Demonstrating a correlation between neutralizing Abs assessed by a cell-based assay and total binding Abs measured in an ELISA will enable the use and substitution of the latter for screening and exclusion of subjects. In this work, we describe the development of a highly sensitive, specific, robust, and reproducible chemiluminescent ELISA method for the detection of total anti-AAV9 Abs. Using this method, we analyzed the prevalence of preexisting anti-AAV9 Abs in 100 serum samples from heart disease patients. Analysis of neutralizing Abs in the same samples using an in vitro cell-based assay showed a strong correlation between total anti-AAV9 Abs and neutralizing Abs, indicating the feasibility of using the total Ab ELISA in the future for patient screening and exclusion.

Concerted application of LC-MS and ligand binding assays to better understand exposure of a large molecule drug.

AIM: A ligand-binding assay (LBA) was used to measure exposure of PRM-151, the recombinant form of human pentraxin-2 (PTX-2), a complex pentamer with multiple binding partners. However, the assay showed a lack of dose-dependent exposure in select preclinical species and it could not differentiate the infused PRM-151 from the endogenous PTX-2 in nonhuman primates. MATERIALS & METHODS: Instead of assessing interference from its multiple binding partners, which could be time consuming and laborious, a LC-MS assay avoid of these interference was implemented to measure 'total' drug without the use of immunoaffinity capture reagents. RESULTS & CONCLUSION: The resultant LC-MS data confirmed the original data and the lack of dose-dependent exposure is now understood to be due to the multiple and diverse targets and functions and resultant complex biodistribution rather than an assay artifact.

A systematic study of the effect of low pH acid treatment on anti-drug antibodies specific for a domain antibody therapeutic: Impact on drug tolerance, assay sensitivity and post-validation method assessment of ADA in clinical serum samples.

We developed a homogeneous bridging anti-drug antibody (ADA) assay on an electro chemiluminescent immunoassay (ECLIA) platform to support the immunogenicity evaluation of a dimeric domain antibody (dAb) therapeutic in clinical studies. During method development we evaluated the impact of different types of acid at various pH levels on polyclonal and monoclonal ADA controls of differing affinities and on/off rates. The data shows for the first time that acids of different pH can have a differential effect on ADA of various affinities and this in turn impacts assay sensitivity and drug tolerance as defined by these surrogate controls. Acid treatment led to a reduction in signal of intermediate and low affinity ADA, but not high affinity or polyclonal ADA. We also found that acid pretreatment is a requisite for dissociation of drug bound high affinity ADA, but not for low affinity ADA-drug complexes. Although we were unable to identify an acid that would allow a 100% retrieval of ADA signal post-treatment, use of glycine pH3.0 enabled the detection of low, intermediate and high affinity antibodies (Abs) to various extents. Following optimization, the ADA assay method was validated for clinical sample analysis. Consistencies within various parameters of the clinical data such as dose dependent increases in ADA rates and titers were observed, indicating a reliable ADA method. Pre- and post-treatment ADA negative or positive clinical samples without detectable drug were reanalyzed in the absence of acid treatment or presence of added exogenous drug respectively to further assess the effectiveness of the final acid treatment procedure. The overall ADA results indicate that assay conditions developed and validated based on surrogate controls sufficed to provide a reliable clinical data set. The effect of low pH acid treatment on possible pre-existing ADA or soluble multimeric target in normal human serum was also evaluated, and preliminary data indicate that acid type and pH also affect drug-specific signal differentially in individual samples. The results presented here represent the most extensive analyses to date on acid treatment of a wide range of ADA affinities to explore sensitivity and drug tolerance issues. They have led to a refinement of our current best practices for ADA method development and provide a depth of data to interrogate low pH mediated immune complex dissociation.

Approaches to Mitigate the Unwanted Immunogenicity of Therapeutic Proteins during Drug Development.

All biotherapeutics have the potential to induce an immune response. This immunological response is complex and, in addition to antibody formation, involves T cell activation and innate immune responses that could contribute to adverse effects. Integrated immunogenicity data analysis is crucial to understanding the possible clinical consequences of anti-drug antibody (ADA) responses. Because patient- and product-related factors can influence the immunogenicity of a therapeutic protein, a risk-based approach is recommended and followed by most drug developers to provide insight over the potential harm of unwanted ADA responses. This paper examines mitigation strategies currently implemented and novel under investigation approaches used by drug developers. The review describes immunomodulatory regimens used in the clinic to mitigate deleterious ADA responses to replacement therapies for deficiency syndromes, such as hemophilia A and B, and high risk classical infantile Pompe patients (e.g., cyclophosphamide, methotrexate, rituximab); novel in silico and in vitro prediction tools used to select candidates based on their immunogenicity potential (e.g., anti-CD52 antibody primary sequence and IFN beta-1a formulation); in vitro generation of tolerogenic antigen-presenting cells (APCs) to reduce ADA responses to factor VIII and IX in murine models of hemophilia; and selection of novel delivery systems to reduce in vivo ADA responses to highly immunogenic biotherapeutics (e.g., asparaginase). We conclude that mitigation strategies should be considered early in development for biotherapeutics based on our knowledge of existing clinical data for biotherapeutics and the immune response involved in the generation of these ADAs.

Development and characterization of a pre-treatment procedure to eliminate human monoclonal antibody therapeutic drug and matrix interference in cell-based functional neutralizing antibody assays.

Biological therapeutics can induce an undesirable immune response resulting in the formation of anti-drug antibodies (ADA), including neutralizing antibodies (NAbs). Functional (usually cell-based) NAb assays are preferred to determine NAb presence in patient serum, but are often subject to interferences from numerous serum factors, such as growth factors and disease-related cytokines. Many functional cell-based NAb assays are essentially drug concentration assays that imply the presence of NAbs by the detection of small changes in functional drug concentration. Any drug contained in the test sample will increase the total amount of drug in the assay, thus reducing the sensitivity of NAb detection. Biotin-drug Extraction with Acid Dissociation (BEAD) has been successfully applied to extract ADA, thereby removing drug and other interfering factors from human serum samples. However, to date there has been no report to estimate the residual drug level after BEAD treatment when the drug itself is a human monoclonal antibody; mainly due to the limitation of traditional ligand-binding assays. Here we describe a universal BEAD optimization procedure for human monoclonal antibody (mAb) drugs by using a LC-MS/MS method to simultaneously measure drug (a mutant human IgG4), NAb positive control (a mouse IgG), and endogenous human IgGs as an indicator of nonspecific carry-over in the BEAD eluate. This is the first report demonstrating that residual human mAb drug level in clinical sample can be measured after BEAD pre-treatment, which is critical for further BEAD procedure optimization and downstream immunogenicity testing.

Development and validation of a liquid chromatography tandem mass spectrometry assay for the quantitation of a protein therapeutic in cynomolgus monkey serum.

We have developed and fully validated a fast and simple LC-MS/MS assay to quantitate a therapeutic protein BMS-A in cynomolgus monkey serum. Prior to trypsin digestion, a recently reported sample pretreatment method was applied to remove more than 95% of the total serum albumin and denature the proteins in the serum sample. The pretreatment procedure simplified the biological sample prior to digestion, improved digestion efficiency and reproducibility, and did not require reduction and alkylation. The denatured proteins were then digested with trypsin at 60 °C for 30 min and the tryptic peptides were chromatographically separated on an Acquity CSH column (2.1 mm × 50 mm, 1.7 µm) using gradient elution. One surrogate peptide was used for quantitation and another surrogate peptide was selected for confirmation. Two corresponding stable isotope labeled peptides were used to compensate variations during LC-MS detection. The linear analytical range of the assay was 0.50-500 µg/mL. The accuracy (%Dev) was within ± 5.4% and the total assay variation (%CV) was less than 12.0% for sample analysis. The validated method demonstrated good accuracy and precision and the application of the innovative albumin removal sample pretreatment method improved both assay sensitivity and robustness. The assay has been applied to a cynomolgus monkey toxicology study and the serum sample concentration data were in good agreement with data generated using a quantitative ligand-binding assay (LBA). The use of a confirmatory peptide, in addition to the quantitation peptide, ensured the integrity of the drug concentrations measured by the method.

Target validation and drug discovery using genomic and protein-protein interaction technologies.

After the successful completion of the human genome project, mapping of the human proteome has become the next important challenge facing the biotech and pharmaceutical industries. Identification of the 'right' target(s) is now a critical part of the process because of the cost of drug discovery. Compounding this situation is the fact that the pharmaceutical industry faces a further challenge of being able to sustain current and historical growth rates. Hence, the discovery of new drug targets is important for developing new drug leads that can become preclinical drug candidates. Proteomics is the next phase of the effort whereby the human genome can be understood. However, mapping the human proteome presents a daunting challenge. Proteomics involves several essential components with the most significant being the discovery and description of all protein-protein interactions. Once this compendium is available, a secondary and equally important initiative will be to decipher proteins that are differentially expressed in any given disease condition. At this point, the critical focus will be to select the most relevant proteins, understand their partner interactions and then further winnow them to the point where they are relevant pharmaceutical target candidates. This paradigm can be compared to finding the relevant 'needle in the proteome haystack'. This review describes the use of genomic and protein-protein interaction technologies to identify and validate these 'needles' as the first step in the drug discovery process.

Peptides identify the critical hotspots involved in the biological activation of the insulin receptor.

We used phage display to generate surrogate peptides that define the hotspots involved in protein-protein interaction between insulin and the insulin receptor. All of the peptides competed for insulin binding and had affinity constants in the high nanomolar to low micromolar range. Based on competition studies, peptides were grouped into non-overlapping Sites 1, 2, or 3. Some Site 1 peptides were able to activate the tyrosine kinase activity of the insulin receptor and act as agonists in the insulin-dependent fat cell assay, suggesting that Site 1 marks the hotspot involved in insulin-induced activation of the insulin receptor. On the other hand, Site 2 and 3 peptides were found to act as antagonists in the phosphorylation and fat cell assays. These data show that a peptide display can be used to define the molecular architecture of a receptor and to identify the critical regions required for biological activity in a site-directed manner.

Assembly of high-affinity insulin receptor agonists and antagonists from peptide building blocks.

Insulin is thought to elicit its effects by crosslinking the two extracellular alpha-subunits of its receptor, thereby inducing a conformational change in the receptor, which activates the intracellular tyrosine kinase signaling cascade. Previously we identified a series of peptides binding to two discrete hotspots on the insulin receptor. Here we show that covalent linkage of such peptides into homodimers or heterodimers results in insulin agonists or antagonists, depending on how the peptides are linked. An optimized agonist has been shown, both in vitro and in vivo, to have a potency close to that of insulin itself. The ability to construct such peptide derivatives may offer a path for developing agonists or antagonists for treatment of a wide variety of diseases.