International Technology Transfer of a GCLP-Compliant HIV-1 Neutralizing Antibody Assay for Human Clinical Trials

The Collaboration for AIDS Vaccine Discovery/Comprehensive Antibody – Vaccine Immune Monitoring Consortium (CAVD/CA-VIMC) assisted an international network of laboratories in transferring a validated assay used to judge HIV-1 vaccine immunogenicity in compliance with Good Clinical Laboratory Practice (GCLP) with the goal of adding quality to the conduct of endpoint assays for Human Immunodeficiency Virus I (HIV-1) vaccine human clinical trials. Eight Regional Laboratories in the international setting (Regional Laboratories), many located in regions where the HIV-1 epidemic is most prominent, were selected to implement the standardized, GCLP-compliant Neutralizing Antibody Assay for HIV-1 in TZM-bl Cells (TZM-bl NAb Assay). Each laboratory was required to undergo initial training and implementation of the immunologic assay on-site and then perform partial assay re-validation, competency testing, and undergo formal external audits for GCLP compliance. Furthermore, using a newly established external proficiency testing program for the TZM-bl NAb Assay has allowed the Regional Laboratories to assess the comparability of assay results at their site with the results of neutralizing antibody assays performed around the world. As a result, several of the CAVD/CA-VIMC Regional Laboratories are now in the process of conducting or planning to conduct the GCLP-compliant TZM-bl NAb Assay as an indicator of vaccine immunogenicity for ongoing human clinical trials

Evaluation and Recommendations on Good Clinical Laboratory Practice Guidelines for Phase I–III Clinical Trials

Marcella Sarzotti-Kelsoe and colleagues harmonize various approaches to Good Clinical Laboratory Practice for clinical trials into a single set of recommendations

H3N2 influenza hemagglutination inhibition method qualification with data driven statistical methods for human clinical trials

IntroductionHemagglutination inhibition (HAI) antibody titers to seasonal influenza strains are important surrogates for vaccine-elicited protection. However, HAI assays can be variable across labs, with low sensitivity across diverse viruses due to lack of standardization. Performing qualification of these assays on a strain specific level enables the precise and accurate quantification of HAI titers. Influenza A (H3N2) continues to be a predominant circulating subtype in most countries in Europe and North America since 1968 and is thus a focus of influenza vaccine research.MethodsAs a part of the National Institutes of Health (NIH)-funded Collaborative Influenza Vaccine Innovation Centers (CIVICs) program, we report on the identification of a robust assay design, rigorous statistical analysis, and complete qualification of an HAI assay using A/Texas/71/2017 as a representative H3N2 strain and guinea pig red blood cells and neuraminidase (NA) inhibitor oseltamivir to prevent NA-mediated agglutination.ResultsThis qualified HAI assay is precise (calculated by the geometric coefficient of variation (GCV)) for intermediate precision and intra-operator variability, accurate calculated by relative error, perfectly linear (slope of -1, R-Square 1), robust (<25% GCV) and depicts high specificity and sensitivity. This HAI method was successfully qualified for another H3N2 influenza strain A/Singapore/INFIMH-16-0019/2016, meeting all pre-specified acceptance criteria.DiscussionThese results demonstrate that HAI qualification and data generation for new influenza strains can be achieved efficiently with minimal extra testing and development. We report on a qualified and adaptable influenza serology method and analysis strategy to measure quantifiable HAI titers to define correlates of vaccine mediated protection in human clinical trials

The Center for HIV/AIDS Vaccine Immunology (CHAVI) multi-site quality assurance program for cryopreserved Human Peripheral Blood Mononuclear Cells

The Center for HIV/AIDS Vaccine Immunology (CHAVI) consortium was established to determine the host and virus factors associated with HIV transmission, infection and containment of virus replication, with the goal of advancing the development of an HIV protective vaccine. Studies to meet this goal required the use of cryopreserved Peripheral Blood Mononuclear Cell (PBMC) specimens, and therefore it was imperative that a quality assurance (QA) oversight program be developed to monitor PBMC samples obtained from study participants at multiple international sites. Nine site-affiliated laboratories in Africa and the USA collected and processed PBMCs, and cryopreserved PBMC were shipped to CHAVI repositories in Africa and the USA for long-term storage. A three-stage program was designed, based on Good Clinical Laboratory Practices (GCLP), to monitor PBMC integrity at each step of this process. The first stage evaluated the integrity of fresh PBMCs for initial viability, overall yield, and processing time at the site-affiliated laboratories (Stage 1); for the second stage, the repositories determined post-thaw viability and cell recovery of cryopreserved PBMC, received from the site-affiliated laboratories (Stage 2); the third stage assessed the long-term specimen storage at each repository (Stage 3). Overall, the CHAVI PBMC QA oversight program results highlight the relative importance of each of these stages to the ultimate goal of preserving specimen integrity from peripheral blood collection to long-term repository storage

Optimization and qualification of an Fc Array assay for assessments of antibodies against HIV-1/SIV

The Fc Array is a multiplexed assay that assesses the Fc domain characteristics of antigen-specific antibodies with the potential to evaluate up to 500 antigen specificities simultaneously. Antigen-specific antibodies are captured on antigen-conjugated beads and their functional capacity is probed via an array of Fc-binding proteins including antibody subclassing reagents, Fcγ receptors, complement proteins, and lectins. Here we present the results of the optimization and formal qualification of the Fc Array, performed in compliance with Good Clinical Laboratory Practice (GCLP) guidelines. Assay conditions were optimized for performance and reproducibility, and the final version of the assay was then evaluated for specificity, accuracy, precision, limits of detection and quantitation, linearity, range and robustness

Example of a luminometer validation curve.

<p>Each month the values of a NIST-traceable-calibrated validation plate are plotted on a graph. The graphs are then superimposed and the values must remain within 10% of the established baseline (mean of the 20 initial runs).</p

Example of a DEAE-Dextran titration curve using two pseudoviruses.

<p>The optimal concentration of DEAE-Dextran (x-axis) to use in the TZM-bl NAb Assay is calculated by selecting a concentration lower than the concentration yielding the peak RLU values on both titration curves of two pseudoviruses (in this instance QHO692.42, CAAN5342.A2). By picking the concentration lower than the peak, one avoids potential cell toxicity that may result with the use of other pseudoviruses. The vertical dotted line in the graph represents the concentration of DEAE-Dextran that maximizes the infectivity of the pseudovirus without being toxic to the TZM-bl cells.</p

CAVD/CA-VIMC Regional Laboratories that completed the Assay Implementation Plan.

<p>CAVD/CA-VIMC Regional Laboratories that completed the Assay Implementation Plan.</p

Results from robustness experiments.

<p>Average fold difference between ID₅₀ values calculated from robustness experiments that varied the number of cells that were used in the assay. Assays were performed using the optimal cell number, twice the optimal cell number, four times the optimal cell number, one-half of the optimal cell number, and one-quarter of the optimal cell number. The ID₅₀ values for each condition were required to remain within 3-fold of the ID₅₀ values generated by the optimal cell number.</p

Results from precision experiments: inter-operator and inter-assay.

<p>(A) Results show the %CV between the ID₅₀ values generated by two operators carrying out the identical experiment on the same days. Each point represents one sample/pseudovirus combination. (B) Results show the %CV between ID₅₀ values generated from identical experiments conducted by the same operator on 3 different days. Each point represents one sample/pseudovirus combination.</p