A generic anti-drug antibody assay for monoclonal antibody therapeutics with broad dynamic range eliminates the need for titer evaluation in preclinical studies.

In preclinical protein therapeutic development studies, the emergence of anti-drug antibodies (ADA) can potentially impact drug pharmacokinetics and safety. While immunogenicity assessment is not mandatory in preclinical studies, banking samples can be valuable for interpreting unexpected pharmacological responses. Immunoassays that use generic reagents across different drug molecules can simplify ADA assessment and expedite sample evaluations. This work showcases the ability of the Gyrolab automated immunoassay platform to detect and quantify both drug-free and drug-bound (total) ADAs to monoclonal antibody (mAb) therapeutics in cynomolgus monkey preclinical studies. Compared to the previously reported total ADA ELISA, the Gyrolab assay exhibited a wider signal dynamic range and increased drug tolerance. Similar sensitivity, dynamic range and cut point factors were observed for four therapeutic mAbs of different isotypes using the Gyrolab assay. Here we present a comparison of ADA assays using bridging ELISA, total ADA ELISA and total ADA Gyrolab formats in a cynomolgus monkey study where the subjects were treated with a single dose of a mAb therapeutic. We demonstrate that the total ADA assays detected host ADA responses at earlier time points compared to the bridging ELISA. The Gyrolab assay has the best correlation between signal-to-noise (S/N) and titer over a wide ADA concentration range, highlighting the utility of Gyrolab in S/N reporting of ADA response to eliminate the need for secondary titer assays. Collectively, our results demonstrate that the generic ADA Gyrolab assay minimizes the necessity for extensive assay development and optimization for therapeutic mAbs, streamlining preclinical immunogenicity assessment to enable interpretation of pharmacological data.

Evaluation of low volume sampling devices for a pharmacodynamic biomarker analysis: Challenges and solutions.

Low volume sampling technologies have gained popularity as they are minimally invasive, reduce patient burden, enhance population diversity, and have the potential to facilitate decentralized clinical trials. Herein, we validated a Gyrolab assay to measure soluble Mucosal Addressin Cell Adhesion Molecule 1 (sMAdCAM-1) in dried blood samples collected using two low volume sampling devices, Mitra and Tasso-M20. This validated assay was implemented in a proof-of-concept study to compare three low volume sampling devices (Mitra, Tasso-M20 and TassoOne Plus) with serum collected via venipuncture from healthy volunteers receiving etrolizumab. We observed significantly higher concentration of sMAdCAM-1 in dried blood samples collected using Mitra and Tasso-M20 compared to serum in some paired samples, which was attributed to interference from the dried blood extraction buffer. To mitigate this interference, samples required substantial dilution into the appropriate buffer, which negatively impacted the detectability of sMAdCAM-1 with the Gyrolab assay. By employing the Quanterix single molecule array (Simoa), known for its superior assay sensitivity, the interference was minimized in the diluted samples. Both liquid blood collected in TassoOne Plus and dried blood collected using Mitra and Tasso-M20 demonstrated great concordance with serum for sMAdCAM-1 measurement. However, a bias was observed in Mitra dried blood samples, presumably due to the different sample collection sites in comparison with venipuncture and Tasso devices. Our study highlights the potential of low volume sampling technologies for biomarker analysis, and underscores the importance of understanding the challenges and limitations of these technologies before integrating them into clinical studies.

Interference from anti-drug antibodies on the quantification of insulin: a comparison of an LC-MS/MS assay and immunoassays.

Aim: This study aims to compare the anti-drug antibody (ADA) interference in four pharmacokinetic (PK) assays across different platforms (AlphaLISA, Gyrolab, LC-MS/MS) and to devise a strategy for ADA interference mitigation to improve the accuracy of measured drug in total PK assays.Materials & methods: Spiked test samples, created to achieve different ADA concentrations in human serum also containing an insulin analogue, were analyzed alongside pooled clinical samples using four assays.Results & conclusion: Interference was observed in all platforms. A novel approach using the Gyrolab mixing CD, including acid dissociation in the PK assay, significantly reduced interference and thereby improved relative error from >99% to ≤20% yielding measurements well within the acceptance criteria. Clinical sample results reinforced findings from the test samples.

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Solving selectivity issues in LBAs: case study using Gyrolab to quantify CB307, a bispecific Humabody in human serum.

Aim: Endogenous interferents can cause nonselectivity in ligand binding pharmacokinetic assays, leading to inaccurate quantification of drug concentrations. We describe the development of a Gyrolab immunoassay to quantify a new modality, CB307 and discuss strategies implemented to overcome matrix effects and achieve selectivity at the desired sensitivity.Results: Matrix effects were mitigated using strategies including increasing minimum required dilution (MRD) and lower limit of quantification, optimization of antibody orientation, assay buffer and solid phase.Conclusion: The strategies described resulted in a selective method for CB307 in disease state matrix that met bioanalytical method validation (BMV) guidance and is currently used to support clinical pharmacokinetic sample analysis in the first-in-human POTENTIA clinical study (NCT04839991) as a secondary clinical end point.

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Validation of low-volume sampling devices for pharmacokinetic analysis: technical and logistical challenges and solutions.

While low-volume sampling technologies offer numerous advantages over venipuncture, implementation in clinical trials poses technical and logistical challenges. Bioanalytical methods were validated for measuring the concentration of crenezumab and etrolizumab in dried blood samples collected using Mitra and Tasso-M20. The data generated demonstrate that the concentrations of crenezumab and etrolizumab in dried blood collected by either device could be determined using calibrators prepared in serum. Drug concentrations from dried blood were converted to serum concentrations using patient hematocrit levels. Contract Research Organization experience in sample handling and analysis allowed us to compare differences between various low-volume sampling technologies. This study evaluated challenges and presented potential solutions for use of different low-volume sampling technologies for pharmacokinetic analysis.

Nanobody-based microfluidic human Fc assay for preclinical plasma quantification of IgG1/1.1 and IgG1-Fc-conjugates.

BACKGROUND: Therapeutic antibodies and Fc-conjugates are becoming increasingly popular for disease management and accurate and sensitive pharmacokinetic measurements are critical in lead candidate selection in pre-clinical drug discovery. METHODS AND STUDY DESIGN: Human Fc-specific intact monoclonal antibodies, polyclonal antibodies, Fab fragments, aptamers, affibodies and nanobodies were screened for potential as biotinylated capture moieties in a microfluidic assay. Test compounds were Bevacizumab, Rituximab, Infliximab as well as an in-house IgG1.1 and an IgG1-drug conjugate. RESULTS: Capture molecules were tested for specificity in plasma matrices from beagle dog, rat, mouse, pig, rhesus monkey and cynomolgus monkey. We find that the llama nanobody provides the best selectivity across across species. The assay usability were verified in cynomolgus monkey pharmacokinetic studies of in-house IgG1.1 and IgG1-fusion molecules. CONCLUSION: The presented generic nanobody-based assay may find relevance in preclinical testing of future human Fc-containing drug conjugates devoid of Fab fragments and intact monoclonal antibodies.

Computational modeling of microfluidic data provides high-throughput affinity estimates for monoclonal antibodies.

Affinity measurement is a fundamental step in the discovery of monoclonal antibodies (mAbs) and of antigens suitable for vaccine development. Innovative affinity assays are needed due to the low throughput and/or limited dynamic range of available technologies. We combined microfluidic technology with quantum-mechanical scattering theory, in order to develop a high-throughput, broad-range methodology to measure affinity. Fluorescence intensity profiles were generated for out-of-equilibrium solutions of labelled mAbs and their antigen-binding fragments migrating along micro-columns with immobilized cognate antigen. Affinity quantification was performed by computational data analysis based on the Landau probability distribution. Experiments using a wide array of human or murine antibodies against bacterial or viral, protein or polysaccharide antigens, showed that all the antibody-antigen capture profiles (n = 841) generated at different concentrations were accurately described by the Landau distribution. A scale parameter W, proportional to the full-width-at-half-maximum of the capture profile, was shown to be independent of the antibody concentration. The W parameter correlated significantly (Pearson's r [p-value]: 0.89 [3 × 10-8]) with the equilibrium dissociation constant KD, a gold-standard affinity measure. Our method showed good intermediate precision (median coefficient of variation: 5%) and a dynamic range corresponding to KD values spanning from ~10-7 to ~10-11 Molar. Relative to assays relying on antibody-antigen equilibrium in solution, even when they are microfluidic-based, the method's turnaround times were decreased from 2 days to 2 h. The described computational modelling of antibody capture profiles represents a fast, reproducible, high-throughput methodology to accurately measure a broad range of antibody affinities in very low volumes of solution.

Comparing singlet and duplicate immunogenicity assay in human plasma for pembrolizumab using Gyrolab®.

Aim: For decades, the traditional approach for ligand-binding assays has been to generate two measurements from adjacent wells on the plate. In recent years, scientists have investigated the true benefit of this 'duplicate analysis' by looking back at previously generated bioanalytical data with the conclusion that the benefits are negligible. Materials & methods: We demonstrated a method development approach to determine the best number of replicate measurements of an immunogenicity assay. We used an anti-pembrolizumab immunogenicity assay on Gyrolab® to challenge the traditional use of duplicate measurements as we compare it to singlet measurement and show a balanced design for assessing the cut-point in singlet. Results & conclusion: We introduced the concept of calculating the maximum drug tolerance during method development. In this method, we found no practical benefit for duplicate analysis and go further in recommending that singlet analysis should be considered the default for all ligand-binding assays.

Evaluation of two point of care technologies for measuring monoclonal antibody therapeutic-A concentrations in blood.

Aim: Current blood monitoring methods require sample collection and testing at a central lab, which can take days. Point of care (POC) devices with quick turnaround time can provide an alternative with faster results, allowing for real-time data leading to better treatment decisions for patients. Results/Methodology: An assay to measure monoclonal antibody therapeutic-A was developed on two POC devices. Data generated using 75 serum samples (65 clinical & ten spiked samples) show correlative results to the data generated using Gyrolab technology. Conclusion: This case study uses a monoclonal antibody therapeutic-A concentration assay as an example to demonstrate the potential of POC technologies as a viable alternative to central lab testing with quick results allowing for real-time decision-making.

A Gyrolab Assay for the Quantitation of Free Complement Protein C5a in Human Plasma.

Complement protein C5a is recognized as an important component of the alternative complement pathway. Its role is prominent enough to garner interest not only as a biomarker, but also as a potential therapeutic target. Bioanalytical challenges have been posed in proper quantitation of free C5a due to interference from its precursor, C5. Additionally, free therapeutic target quantitation can be difficult due to effects of sample dilution and prolonged sample incubation when therapeutic is used as capture reagent. Gyrolab technology enables quantitation of free target analyte with minimal sample dilution and rapid sample incubations, thus enabling in vitro results that are more representative of in vivo pharmacodynamics. When coupled with strategic sample pretreatment, Gyrolab offers an opportunity to quantitate free C5a in human plasma with an assay that vastly diminishes C5 interference. A Gyrolab assay for the quantitation of free C5a in human plasma was developed and validated. Validation results confirmed that proper sample pretreatment and use of the Gyrolab platform yield accurate and reliable results. Due to the advantages that it provides, Gyrolab has become our default technology of choice for quantitation of free target.

Optimizing NBE PK/PD assays using the Gyrolab Affinity Software; conveniently within the bioanalyst's existing workflow.

AIM: The fully automated microfluidics-based Gyrolab is a popular instrument for the bioanalysis of protein therapeutics; requiring minimal sample and reagent volumes. Gyros offers affinity software for determining binding affinity in solution using a high-throughput method and miniaturized reactions. RESULTS: Using this affinity software, multiple CTGF-targeting reagents were characterized on the Gyrolab after <100% target coverage was seen in a cynomolgus pharmacokinetic/PD study dosed with anti-CTGF antibodies. The results uncovered magnitude differences in binding affinities between the dosed antibody, target and assay reagents. CONCLUSION: The binding affinity values were used to investigate reduced target coverage and results highlight potential of the affinity software for incorporation into the bioanalyst's existing Gyrolab workflow for characterizing reagents and optimizing pharmacokinetic/PD bioanalytical assays.

Singlicate Ligand Binding Assay Using an Automated Microfluidic System: a Clinical Case Study.

The bioanalytical strategy for monoclonal antibody therapeutics, intended for multiple oncology indications, includes multiple integrated measurements of pharmacologically relevant therapeutics from discovery through development. Three ligand binding assays were cohesively developed and validated, as applicable, using the Gyrolab microfluidic system for the measurement of a free monoclonal antibody BMS-986207. Accuracy and precision demonstrate %bias from -6.3 to 4.4%, percent coefficient of variation (%CV) from 2.6 to 9.8%, and total error from 4.2 to 13.4% in the nonclinical assay; %bias from -0.3 to 3.3%, %CV from 3.5 to 18.2%, and total error from 6.1 to 19.7% in the clinical assay; and >97% of the sample meeting incurred sample reanalysis criteria. The clinical assay was validated using singlicate wells after gaining significant data in the early phase studies to support this cost-effective and efficient strategy. Each assay met fit-for-purpose and/or regulated bioanalytical method validation criteria including stability, selectivity, dilutional linearity, carryover, and specificity criteria with no interference from co-administered monoclonal antibody.

Accelerating Regulated Bioanalysis for Biotherapeutics: Case Examples Using a Microfluidic Ligand Binding Assay Platform.

The Gyrolab™ xP is a microfluidic platform for conducting ligand binding assays (LBAs) and is recognized for its utility in discovery bioanalysis. However, few reports have focused on the technology for regulated bioanalysis. This technology has the advantage of low reagent consumption, low sample volume, and automated ligand binding methods. To improve bioanalysis testing timelines and increase the speed at which biotherapeutics are delivered to patients, we evaluated the technology for its potential to deliver high-quality data at reduced testing timelines for regulated bioanalysis. Six LBA methods were validated to support bioanalysis for GLP toxicokinetic or clinical pharmacokinetic studies. Validation, sample analysis, and method transfer are described. In total, approximately 4000 samples have been tested for regulated bioanalysis to support 6 GLP toxicology studies and approximately 1000 samples to support 2 clinical studies. Gyrolab™ xP had high run pass rates (≥83%) and high incurred sample reanalysis (ISR) pass rates (>94%). The maximum total error observed across all QC levels for a given assay was <30% for all six LBAs. High instrument response precision (CV ≤5%) was observed across compact discs (CDs), and methods were validated to use a single standard curve across multiple CDs within a Gyrolab™ xP run. Reduced bioanalysis timelines were achieved compared to standard manual plate-based methods, and methods were successfully transferred across testing labs, paving the way for this platform for use in late-stage clinical development.

A semi-universal assay platform to quantitate vaccines with potential applications for biotherapeutics.

AIM: Biologics development often requires multiple immunoassays to evaluate both assay reagents and potential drug candidates resulting in extensive analytical development. METHODOLOGY: We developed a semi-universal, 5-layer platform assay on Gyrolab using secondary antispecies or anti-isotype-specific capture and detection antibodies. We applied the assay to several multivalent vaccines. RESULTS: Method performance exhibited a median accuracy of 110%, reproducibility of 9% CV and intermediate precision of 11% CV. System suitability criteria were met for 92.5% of the samples and only one out of 31 replicate samples exhibited a %CV greater than 20%. CONCLUSION: The semi-universal Gyrolab assay allowed assay development without reagent labeling. The format could also be translated into a plate-based assay.

Feasibility of Singlet Analysis for Ligand Binding Assays: a Retrospective Examination of Data Generated Using the Gyrolab Platform.

There are many sources of analytical variability in ligand binding assays (LBA). One strategy to reduce variability has been duplicate analyses. With recent advances in LBA technologies, it is conceivable that singlet analysis is possible. We retrospectively evaluated singlet analysis using Gyrolab data. Relative precision of duplicates compared to singlets was evaluated using 60 datasets from toxicokinetic (TK) or pharmacokinetic (PK) studies which contained over 23,000 replicate pairs composed of standards, quality control (QC), and animal samples measured with 23 different bioanalytical assays. The comparison was first done with standard curve and QCs followed by PK parameters (i.e., Cmax and AUC). Statistical analyses were performed on combined duplicate versus singlets using a concordance correlation coefficient (CCC), a measurement used to assess agreement. Variance component analyses were conducted on PK estimates to assess the relative analytical and biological variability. Overall, 97.5% of replicate pairs had a %CV of <11% and 50% of the results had a %CV of ≤1.38%. There was no observable bias in concentration comparing the first replicate with the second (CCC of 0.99746 and accuracy value of 1). The comparison of AUC and Cmax showed no observable difference between singlet and duplicate (CCC for AUC and Cmax >0.99999). Analysis of variance indicated an AUC inter-subject variability 35.3-fold greater than replicate variability and 8.5-fold greater for Cmax. Running replicates from the same sample will not significantly reduce variation or change PK parameters. These analyses indicated the majority of variance was inter-subject and supported the use of a singlet strategy.

Development of an ultra-sensitive Simoa assay to enable GDF11 detection: a comparison across bioanalytical platforms.

BACKGROUND: Four bioanalytical platforms were evaluated to optimize sensitivity and enable detection of recombinant human GDF11 in biological matrices; ELISA, Meso Scale Discovery, Gyrolab xP Workstation and Simoa HD-1. Results & methodology: After completion of custom assay development, the single-molecule ELISA (Simoa) achieved the greatest sensitivity with a lower limit of quantitation of 0.1 ng/ml, an improvement of 100-fold over the next sensitive platform (MSD). DISCUSSION & CONCLUSION: This improvement was essential to enable detection of GDF11 in biological samples, and without the technology the sensitivity achieved on the other platforms would not have been sufficient. Other factors such as ease of use, cost, assay time and automation capability can also be considered when developing custom immunoassays, based on the requirements of the bioanalyst.

Platform switching from ELISA to Gyrolab™: a novel generic reagent omits the need to change critical reagents.

During development of biotherapeutics, availability of specific assay reagents is usually limited. The possibility to switch from one ligand binding assay technology to another, while using the same reagents, would be desirable. Here, we report on an Alexa647(®)-labeled monoclonal antibody against digoxigenin (mAb-Alexa647(®)) that enables the detection of digoxigenylated analyte-specific ELISA reagents by Gyrolab(™). In an analysis of non-monoclonal antibody (mAb) and mAb drugs, this approach maintained the dynamic range, accuracy and precision of the standard Gyrolab™ approach using analyte-specific Alexa647(®)-labeled Ab. In a rat PK study, results of our approach, standard Gyrolab™ and ELISA were comparable, with difference values within the incurred sample reanalysis acceptance criteria. Therefore, mAb-Alexa647(®) enables an easy switch between ELISA and Gyrolab™, providing an effective way to benefit from both platforms.

Active glucagon-like peptide 1 quantitation in human plasma: a comparison of multiple ligand binding assay platforms.

There are a wide variety of ligand binding assay platforms available for implementation in present day bioanalytical laboratories. Selecting the platform that best suits a particular project's needs is highly dependent upon multiple assay characteristics. The active form of glucagon-like protein (GLP-1) is a biomarker of interest for type 2 diabetes (T2DM), and therefore a common target for quantitation. Previous projects requiring active GLP-1 measurements involved the use of a labor intensive ELISA, spurring an investigation towards other potential assay platforms. To that end, four separate ligand binding assay formats (standard ELISA, electrochemiluminescence, Gyrolab, and Singulex) were evaluated. The platforms were compared for numerous assay parameters including dynamic range, sample volume requirements, throughput, and cost. Additionally, thirty individual donor plasmas were run with each assay as representative study samples. Although our evaluation did not show any platform that was better than others in all assay characteristics, there was one that was best in sensitivity (Singulex) and one that was best in throughput and sample volume requirements (Gyrolab). The lack of a technology that was best in all categories underscores the importance of due diligence when selecting an assay platform; there are no silver bullets, and one must take into account what is necessary for project needs and the intended use of the data.

Comparison of bioanalytical methods for the quantitation of PEGylated human insulin.

PURPOSE: The quality of bioanalytical data is dependent upon selective, sensitive, and reproducible analytical methods. With evolving technologies available, bioanalytical scientists must assess which is most appropriate for their molecule through proper method validation. For an early stage PEGylated insulin program, the characteristics of four platforms, ELISA, ECL, Gyrolab, and LC-MS/MS, were evaluated using fit-for-purpose method development and validation, while also evaluating costs. METHOD: Methods selected for validation required acceptable performance based on satisfaction of a priori criteria prior to proceeding to subsequent stages of validation. LBA pre-validation included reagent selection, evaluation of matrix interference, and range determination. LC-MS/MS pre-validation included selection of a signature peptide; optimization of sample preparation, HPLC, and LC-MS/MS conditions; and calibration range determination. Pre-study validation tested accuracy and precision (mean bias criteria±30%; precision≤30%). Pharmacokinetic (PK) parameters were estimated for an in vivo study with WinNonlin noncompartmental analysis. Statistics were performed with JMP using ANOVA and Tukey-Kramer post hoc analysis. A cost analysis was performed for a 200-sample PK study using the methods from this study. RESULTS: All platforms, except Gyrolab, were taken through validation. However, a typical Gyrolab method was included for the cost analysis. Ranges for the ELISA, ECLA, and LC-MS/MS were 8.52-75, 2.09-125, and 100-1000 ng/mL, respectively, and accuracy and precision fell within a priori criteria. PK samples were analyzed in the 3 validated methods. PK profiles and parameters are similar for all methods, except LC-MS/MS, which differed at t=24h and with AUC0-24. Further investigation into this difference is warranted. The cost analysis identified the Gyrolab platform as the most expensive and ELISA as the least expensive, with method specific consumables attributing significantly to costs. CONCLUSIONS: ECLA had a larger dynamic range and sensitivity, allowing accurate assessment of PK parameters. Although this method was more expensive than the ELISA, it was the most appropriate for the early stage PEGylated insulin program. While this case study is specific to PEGylated human insulin, it highlights the importance of evaluating and selecting the most appropriate platform for bioanalysis during drug development.