Literature DB >> 26255760

A breakthrough novel method to resolve the drug and target interference problem in immunogenicity assays.

Jad Zoghbi1, Yuanxin Xu2, Ryan Grabert2, Valerie Theobald2, Susan Richards2.   

Abstract

Biological matrix interference in detection and quantitation immunoassays remains a major challenge in the field of bioanalysis. For example, circulating drug may interfere with the detection of anti-drug antibodies (ADA) and drug target, or ADA may interfere with quantitation of drug levels in PK/TK analysis. Monoclonal antibody drug interference, especially for human IgG4 drugs, presents an additional challenge for ADA analysis due to its longer half-life and higher dose. Assay tolerance to such interference may depend on assay platform and reagents. Various approaches have been used to improve drug tolerance in ADA analysis but limited success was observed. We have developed a breakthrough novel method that uses Precipitation and Acid dissociation (PandA) to overcome drug interference in the ADA assay. The method principle is based on four components for detection of total ADA (free ADA and drug bound ADA) in the presence of drug in patient samples: (1) use excess drug to saturate free ADA to form drug bound ADA as drug:ADA complexes, (2) precipitate the complex using an agent such as PEG, (3) acid dissociate ADA from drug and immobilize (capture) free ADA (and free drug) under acidic conditions (without neutralization) onto a large capacity surface, and (4) detect free ADA (not the captured drug) using specific anti-human Ig detection reagent. In this manuscript, we are describing case studies for three humanized monoclonal antibodies (an IgG1 and two IgG4 drugs). The three drug specific PandA ADA assays resulted in complete recovery of ADA in samples containing drug levels in excess of those expected in patients, in contrast to the commonly used acid dissociation approach in ECL bridging assays. This breakthrough novel method shows significant improvement over the current approaches. In fact, the drug interference or under detecting of ADA in all three cases was eliminated. This assay principle could be used not only for ADA assays but also PK and biomarker (drug target) analysis in the presence of interference factors.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADA; Anti-drug antibody; Drug interference; Drug tolerance; Immunoassay; Immunogenicity; Ligand binding assays; Target interference

Mesh:

Substances:

Year:  2015        PMID: 26255760     DOI: 10.1016/j.jim.2015.08.002

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  13 in total

1.  Recommendations for Systematic Statistical Computation of Immunogenicity Cut Points.

Authors:  Viswanath Devanarayan; Wendell C Smith; Rocco L Brunelle; Mary E Seger; Kim Krug; Ronald R Bowsher
Journal:  AAPS J       Date:  2017-07-21       Impact factor: 4.009

2.  Validation of a Drug-Resistant Anti-Adalimumab Antibody Assay to Monitor Immunogenicity in the Presence of High Concentrations of Adalimumab.

Authors:  Sumin Bian; Marc Ferrante; Ann Gils
Journal:  AAPS J       Date:  2016-11-21       Impact factor: 4.009

3.  Recommendations for the Development and Validation of Immunogenicity Assays in Support of Biosimilar Programs.

Authors:  Francesca Civoli; Aparna Kasinath; Xiao-Yan Cai; Meenu Wadhwa; Andrew Exley; Philip Oldfield; Safa Alvandkouhi; Gregor Schaffar; John Chappell; Ronald Bowsher; Viswanath Devanarayan; Joseph Marini; Shannon Rebarchak; Michael Anderson; Vera Koppenburg; Todd Lester
Journal:  AAPS J       Date:  2019-12-02       Impact factor: 4.009

4.  Drug Target Interference in Immunogenicity Assays: Recommendations and Mitigation Strategies.

Authors:  Zhandong Don Zhong; Adrienne Clements-Egan; Boris Gorovits; Mauricio Maia; Giane Sumner; Valerie Theobald; Yuling Wu; Manoj Rajadhyaksha
Journal:  AAPS J       Date:  2017-10-23       Impact factor: 4.009

Review 5.  Approaches for the detection and analysis of antidrug antibodies to biopharmaceuticals: A review.

Authors:  Kyungah Suh; Isaac Kyei; David S Hage
Journal:  J Sep Sci       Date:  2022-03-10       Impact factor: 3.614

6.  Recommendations for the Assessment and Management of Pre-existing Drug-Reactive Antibodies During Biotherapeutic Development.

Authors:  Li Xue; Adrienne Clements-Egan; Lakshmi Amaravadi; Mary Birchler; Boris Gorovits; Meina Liang; Heather Myler; Shobha Purushothama; Marta Starcevic Manning; Crystal Sung
Journal:  AAPS J       Date:  2017-11-06       Impact factor: 4.009

Review 7.  Immunogenicity assessment of bispecific antibody-based immunotherapy in oncology.

Authors:  Yanchen Zhou; Hweixian L Penny; Mark A Kroenke; Bianca Bautista; Kelly Hainline; Lynette S Chea; Jane Parnes; Daniel T Mytych
Journal:  J Immunother Cancer       Date:  2022-04       Impact factor: 12.469

8.  GloBody Technology: Detecting Anti-Drug Antibody against VH/VL domains.

Authors:  Gauri K Saxena; Ioannis Theocharopoulos; Nisha Thaslima Aziz; Meleri Jones; Sharmilee Gnanapavan; Gavin Giovannoni; Klaus Schmierer; James A Garnett; David Baker; Angray S Kang
Journal:  Sci Rep       Date:  2020-02-05       Impact factor: 4.379

9.  Molecular Landscape of Anti-Drug Antibodies Reveals the Mechanism of the Immune Response Following Treatment With TNFα Antagonists.

Authors:  Anna Vaisman-Mentesh; Shai Rosenstein; Miri Yavzori; Yael Dror; Ella Fudim; Bella Ungar; Uri Kopylov; Orit Picard; Aya Kigel; Shomron Ben-Horin; Itai Benhar; Yariv Wine
Journal:  Front Immunol       Date:  2019-12-18       Impact factor: 7.561

10.  Drug Tolerant Anti-drug Antibody Assay for Infliximab Treatment in Clinical Practice Identifies Positive Cases Earlier.

Authors:  Nastya Kharlamova; Christina Hermanrud; Nicky Dunn; Malin Ryner; Karen Hambardzumyan; Nancy Vivar Pomiano; Per Marits; Inger Gjertsson; Saedis Saevarsdottir; Rille Pullerits; Anna Fogdell-Hahn
Journal:  Front Immunol       Date:  2020-07-21       Impact factor: 7.561

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.