Literature DB >> 24830897

Protein-based matrix interferences in ligand-binding assays.

Boris Gorovits1, Jim McNally, Corinna Fiorotti, Sheldon Leung.   

Abstract

An adequate bioanalytical support for a typical biotherapeutic requires a number of assays, including those to measure drug concentration and to assess induction of specific immune responses. Ligand-binding assays are the most commonly used platform in bioanalysis of biotherapeutics. Ligand-binding assays are frequently designed to detect appropriate analytes in complex biological matrices with limited or no sample pretreatment steps. The complex composition of the test matrix is highly diverse and varies from normal to disease populations. Additional post-treatment changes are often observed, including induction of antidrug antibodies. Due to potential interaction of biological matrix components, for example, rheumatoid factors, heterophilic antibodies and human anti-animal antibodies, with the test analyte or assay reagents, ligand-binding assays are often subjected to various degrees of matrix interferences that lead to an erroneous under- or over-reporting of the analyte concentration. Impact of various matrix components and practical means designed to mitigate interferences are discussed in this Review.

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Year:  2014        PMID: 24830897     DOI: 10.4155/bio.14.56

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  7 in total

1.  Anti-drug Antibody Assay Validation: Improved Reporting of the Assay Selectivity via Simpler Positive Control Recovery Data Analysis.

Authors:  Boris Gorovits; Marcela Araya Roldan; Daniel Baltrukonis; Chun-Hua Cai; Jean Donley; Darshana Jani; John Kamerud; Frederick McCush; Jeffrey S Thomas; Ying Wang
Journal:  AAPS J       Date:  2019-06-18       Impact factor: 4.009

2.  Immunogenicity assay development and validation for biological therapy as exemplified by ustekinumab.

Authors:  S Mojtahed Poor; T Ulshöfer; L A Gabriel; M Henke; M Köhm; F Behrens; G Geisslinger; M J Parnham; H Burkhardt; S Schiffmann
Journal:  Clin Exp Immunol       Date:  2019-02-03       Impact factor: 4.330

3.  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

4.  High Estradiol Levels During Postmenopause - Pitfalls in Laboratory Analysis.

Authors:  I Mebes; M Graf; M Kellner; C Keck; S E Segerer
Journal:  Geburtshilfe Frauenheilkd       Date:  2015-09       Impact factor: 2.915

Review 5.  Pre-existing Antibody: Biotherapeutic Modality-Based Review.

Authors:  Boris Gorovits; Adrienne Clements-Egan; Mary Birchler; Meina Liang; Heather Myler; Kun Peng; Shobha Purushothama; Manoj Rajadhyaksha; Laura Salazar-Fontana; Crystal Sung; Li Xue
Journal:  AAPS J       Date:  2016-01-28       Impact factor: 4.009

Review 6.  Standardizing terms, definitions and concepts for describing and interpreting unwanted immunogenicity of biopharmaceuticals: recommendations of the Innovative Medicines Initiative ABIRISK consortium.

Authors:  B Rup; M Pallardy; D Sikkema; T Albert; M Allez; P Broet; C Carini; P Creeke; J Davidson; N De Vries; D Finco; A Fogdell-Hahn; E Havrdova; A Hincelin-Mery; M C Holland; P E H Jensen; E C Jury; H Kirby; D Kramer; S Lacroix-Desmazes; J Legrand; E Maggi; B Maillère; X Mariette; C Mauri; V Mikol; D Mulleman; J Oldenburg; G Paintaud; C R Pedersen; N Ruperto; R Seitz; S Spindeldreher; F Deisenhammer
Journal:  Clin Exp Immunol       Date:  2015-07-02       Impact factor: 4.330

Review 7.  Emerging Technologies and Generic Assays for the Detection of Anti-Drug Antibodies.

Authors:  Michael A Partridge; Shobha Purushothama; Chinnasamy Elango; Yanmei Lu
Journal:  J Immunol Res       Date:  2016-07-31       Impact factor: 4.818

  7 in total

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