Enhancing efficiency and quality of statistical estimation of immunogenicity assay cut points through standardization and automation.

Biotherapeutics can elicit immune responses, which can alter the exposure, safety, and efficacy of the therapeutics. A well-designed and robust bioanalytical method is critical for the detection and characterization of relevant anti-drug antibody (ADA) and the success of an immunogenicity study. As a fundamental criterion in immunogenicity testing, assay cut points need to be statistically established with a risk-based approach to reduce subjectivity. This manuscript describes the development of a validated, web-based, multi-tier customized assay statistical tool (CAST) for assessing cut points of ADA assays. The tool provides an intuitive web interface that allows users to import experimental data generated from a standardized experimental design, select the assay factors, run the standardized analysis algorithms, and generate tables, figures, and listings (TFL). It allows bioanalytical scientists to perform complex statistical analysis at a click of the button to produce reliable assay parameters in support of immunogenicity studies.

Universal immunogenicity validation and assessment during early biotherapeutic development to support a green laboratory.

BACKGROUND: Immunogenicity support during nonclinical biotherapeutic development can be resource intensive if supported by conventional methodologies. A universal indirect species-specific immunoassay can eliminate the need for biotherapeutic-specific anti-drug antibody immunoassays without compromising quality. By implementing the R's of sustainability (reduce, reuse, rethink), conservation of resources and greener laboratory practices were achieved in this study. RESULTS: Statistical analysis across four biotherapeutics supported identification of consistent product performance standards (cut points, sensitivity and reference limits) and a streamlined universal anti-drug antibody immunoassay method implementation strategy. CONCLUSION: We propose an efficient, fit-for-purpose, scientifically and statistically supported nonclinical immunogenicity assessment strategy. Utilization of a universal method and streamlined validation, while retaining comparability to conventional immunoassays and meeting the industry recommended standards, provides environmental credits in the scientific laboratory. Collectively, individual reductions in critical material consumption, energy usage, waste and non-environment friendly consumables, such as plastic and paper, support a greener laboratory environment.

Impact of anti-drug antibodies in preclinical pharmacokinetic assessment.

The administration of human biotherapeutics is often associated with a higher incidence of immunogenicity in preclinical species. The presence of anti-drug antibodies (ADAs) in the test samples can affect the accurate measurement of therapeutic protein (TP) in bioanalytical methods designed to support pharmacokinetic (PK) and toxicokinetic (TK) assessments. The impact can vary depending on the bioanalytical method platform and study dosing design. The goal of this study is to evaluate the impact of ADA response on the bioanalytical methods in support of PK/TK and the associated study data interpretation. Sprague Dawley rats were administered with four weekly doses of 50 mg/kg TP, a humanized monoclonal antibody. The TP in serum samples was measured using three bioanalytical methods that quantified bound and/or unbound TP to ADA. The ADA response in the animals was classified into negative, low, medium, and high based on the magnitude of the response. The presence of ADA in samples led to discrepant TP measurements between the methods, especially at time points where the TP concentrations were low. This could be due to ADA interference to the accurate measurement of ADA-bound TP concentrations. The TP concentration at last time point (C last) was reduced by 82.8%, 98.6%, and 99.8%, respectively, for samples containing low, medium, and high levels of ADA. The interfering effects of the ADA on bioanalytical methods and exposure were evident as early as 2 weeks post-dosing. This modeling approach can provide the better understanding of ADA impact on PK exposure in multiple doses.

Universal immunoassay applied during early development of large molecules to understand impact of immunogenicity on biotherapeutic exposure.

Immunogenicity testing during early biotherapeutic development is usually limited by resources needed for assay development, validation, and the necessity for unique product-specific controls and reagents. We describe a unique immunoassay [universal indirect species-specific assay (UNISA)] that can be applied during early phase preclinical studies to support pharmacology, pharmacokinetics (PK), and toxicology evaluation during biotherapeutic antibody candidate assessment. UNISA was evaluated across three animal species: mouse, rat, and cynomolgus monkey. For each species, a unique and specific antibody pair was generated consisting of the secondary antibody and the positive control. The secondary antibody is specific for species anti-IgG antibody while demonstrating no cross-reactivity to human antibody-based biotherapeutics. The positive control is comprised of a species-specific anti-human IgG antibody clone specific for binding to the CH2 domain of all human IgG subtypes. Applications of this platform included: (a) identifying the dose with the least immunogenicity risk; (b) characterizing the impact of immunogenicity on PK exposure profiles across multiple antibody candidates and dose regimens; and (c) characterizing the immune response specificity to the idiotype or non-idiotypic region of the biotherapeutic candidate. Due to its use of universal species-specific reagents, UNISA can overcome resource constraints and avoid extensive validation and development time to support immunogenicity testing during the early research and preclinical phase of programs. Enhanced understanding of the impact of the immunogenicity on biotherapeutic exposure and target-related immunomodulatory effects have been made possible with the use of this assay.

Impact of matrix-associated soluble factors on the specificity of the immunogenicity assessment.

BACKGROUND: Specificity and sensitivity are essential in assays for immunogenicity assessment of biotherapeutics. Nonspecific interactions from excess therapeutic or anti-therapeutic antibody, soluble ligands (e.g., target receptor), or serum proteins associated with autoimmune conditions (e.g., rheumatoid factor) in samples can impact the detection of a true anti-therapeutic response. RESULTS: Electrochemiluminescence-based bridging assay formats could eliminate the interference due to rheumatoid factor with no pretreatment with Melon Gel™ or aggregated IgG. The interference due to soluble factors was not platform specific for the four therapeutics evaluated in this study. CONCLUSION: Melon Gel pretreatment and avidin high-bind (Meso Scale Discovery) plates can effectively reduce interference due to rheumatoid factor in ELISA- and electrochemiluminescence-based assays, respectively. Excess levels of therapeutic and anti-therapeutic antibodies in bridging assays can impact assay specificity.