Literature DB >> 26779831

Development and validation of cell-based luciferase reporter gene assays for measuring neutralizing anti-drug antibodies against interferon beta.

Christina Hermanrud1, Malin Ryner1, Thomas Luft2, Poul Erik Jensen3, Kathleen Ingenhoven4, Dorothea Rat5, Florian Deisenhammer2, Per Soelberg Sørensen3, Marc Pallardy6, Dan Sikkema7, Elisa Bertotti8, Daniel Kramer5, Paul Creeke9, Anna Fogdell-Hahn10.   

Abstract

Neutralizing anti-drug antibodies (NAbs) against therapeutic interferon beta (IFNβ) in people with multiple sclerosis (MS) are measured with cell-based bioassays. The aim of this study was to redevelop and validate two luciferase reporter-gene bioassays, LUC and iLite, using a cut-point approach to identify NAb positive samples. Such an approach is favored by the pharmaceutical industry and governmental regulatory agencies as it has a clear statistical basis and overcomes the limitations of the current assays based on the Kawade principle. The work was conducted following the latest assay guidelines. The assays were re-developed and validated as part of the "Anti-Biopharmaceutical Immunization: Prediction and analysis of clinical relevance to minimize the risk" (ABIRISK) consortium and involved a joint collaboration between four academic laboratories and two pharmaceutical companies. The LUC assay was validated at Innsbruck Medical University (LUCIMU) and at Rigshospitalet (LUCRH) Copenhagen, and the iLite assay at Karolinska Institutet, Stockholm. For both assays, the optimal serum sample concentration in relation to sensitivity and recovery was 2.5% (v/v) in assay media. A Shapiro-Wilk test indicated a normal distribution for the majority of runs, allowing a parametric approach for cut-point calculation to be used, where NAb positive samples could be identified with 95% confidence. An analysis of means and variances indicated that a floating cut-point should be used for all assays. The assays demonstrated acceptable sensitivity for being cell-based assays, with a confirmed limit of detection in neat serum of 1519 ng/mL for LUCIMU, 814 ng/mL for LUCRH, and 320 ng/mL for iLite. Use of the validated cut-point assay, in comparison with the previously used Kawade method, identified 14% more NAb positive samples. In conclusion, implementation of the cut-point design resulted in increased sensitivity to detect NAbs. However, the clinical significance of these low positive titers needs to be further evaluated.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anti-drug antibodies; Bioassay; Interferon beta; Luciferase; Multiple sclerosis; Neutralizing antibodies

Mesh:

Substances:

Year:  2016        PMID: 26779831     DOI: 10.1016/j.jim.2016.01.004

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


  9 in total

1.  Monocyte NOTCH2 expression predicts IFN-β immunogenicity in multiple sclerosis patients.

Authors:  Marsilio Adriani; Petra Nytrova; Cyprien Mbogning; Signe Hässler; Karel Medek; Poul Erik H Jensen; Paul Creeke; Clemens Warnke; Kathleen Ingenhoven; Bernhard Hemmer; Claudia Sievers; Raija Lp Lindberg Gasser; Nicolas Fissolo; Florian Deisenhammer; Zsolt Bocskei; Vincent Mikol; Anna Fogdell-Hahn; Eva Kubala Havrdova; Philippe Broët; Pierre Dönnes; Claudia Mauri; Elizabeth C Jury
Journal:  JCI Insight       Date:  2018-06-07

Review 2.  Antidrug Antibodies Against Biological Treatments for Multiple Sclerosis.

Authors:  Per Soelberg Sorensen
Journal:  CNS Drugs       Date:  2022-05-19       Impact factor: 6.497

3.  Recommendations for the Development of Cell-Based Anti-Viral Vector Neutralizing Antibody Assays.

Authors:  Boris Gorovits; Michele Fiscella; Mike Havert; Eugen Koren; Brian Long; Mark Milton; Shobha Purushothama
Journal:  AAPS J       Date:  2020-01-06       Impact factor: 4.009

4.  Clinical practice of analysis of anti-drug antibodies against interferon beta and natalizumab in multiple sclerosis patients in Europe: A descriptive study of test results.

Authors:  Jenny Link; Ryan Ramanujam; Michael Auer; Malin Ryner; Signe Hässler; Delphine Bachelet; Cyprien Mbogning; Clemens Warnke; Dorothea Buck; Poul Erik Hyldgaard Jensen; Claudia Sievers; Kathleen Ingenhoven; Nicolas Fissolo; Raija Lindberg; Verena Grummel; Naoimh Donnellan; Manuel Comabella; Xavier Montalban; Bernd Kieseier; Per Soelberg Sørensen; Hans-Peter Hartung; Tobias Derfuss; Andy Lawton; Dan Sikkema; Marc Pallardy; Bernhard Hemmer; Florian Deisenhammer; Philippe Broët; Pierre Dönnes; Julie Davidson; Anna Fogdell-Hahn
Journal:  PLoS One       Date:  2017-02-07       Impact factor: 3.240

5.  Prevalence of neutralising antibodies to interferon-beta and clinical response in Chinese patients with relapsing multiple sclerosis.

Authors:  Alexander Y Lau; W K Ip; Cheryl Au; K K Lau; Winnie Wong; K K Yip; Jonas Yeung; S H Li; Patrick Li; Ryan Lee; Deyond Siu; Jill Abrigo; Adrian Wong; Vincent Mok; Eric Chan
Journal:  Mult Scler J Exp Transl Clin       Date:  2017-10-09

6.  Development and Validation of an Enzyme-Linked Immunosorbent Assay for the Detection of Binding Anti-Drug Antibodies against Interferon Beta.

Authors:  Kathleen Ingenhoven; Daniel Kramer; Poul Erik Jensen; Christina Hermanrud; Malin Ryner; Florian Deisenhammer; Marc Pallardy; Til Menge; Hans-Peter Hartung; Bernd C Kieseier; Elisa Bertotti; Paul Creeke; Anna Fogdell-Hahn; Clemens Warnke
Journal:  Front Neurol       Date:  2017-07-06       Impact factor: 4.003

7.  Using Serum Metabolomics to Predict Development of Anti-drug Antibodies in Multiple Sclerosis Patients Treated With IFNβ.

Authors:  Kirsty E Waddington; Artemis Papadaki; Leda Coelewij; Marsilio Adriani; Petra Nytrova; Eva Kubala Havrdova; Anna Fogdell-Hahn; Rachel Farrell; Pierre Dönnes; Inés Pineda-Torra; Elizabeth C Jury
Journal:  Front Immunol       Date:  2020-07-17       Impact factor: 7.561

8.  Treatment- and population-specific genetic risk factors for anti-drug antibodies against interferon-beta: a GWAS.

Authors:  Till F M Andlauer; Jenny Link; Dorothea Martin; Malin Ryner; Christina Hermanrud; Verena Grummel; Michael Auer; Harald Hegen; Lilian Aly; Christiane Gasperi; Benjamin Knier; Bertram Müller-Myhsok; Poul Erik Hyldgaard Jensen; Finn Sellebjerg; Ingrid Kockum; Tomas Olsson; Marc Pallardy; Sebastian Spindeldreher; Florian Deisenhammer; Anna Fogdell-Hahn; Bernhard Hemmer
Journal:  BMC Med       Date:  2020-11-04       Impact factor: 8.775

9.  Clinicogenomic factors of biotherapy immunogenicity in autoimmune disease: A prospective multicohort study of the ABIRISK consortium.

Authors:  Signe Hässler; Delphine Bachelet; Julianne Duhaze; Natacha Szely; Aude Gleizes; Salima Hacein-Bey Abina; Orhan Aktas; Michael Auer; Jerôme Avouac; Mary Birchler; Yoram Bouhnik; Olivier Brocq; Dorothea Buck-Martin; Guillaume Cadiot; Franck Carbonnel; Yehuda Chowers; Manuel Comabella; Tobias Derfuss; Niek De Vries; Naoimh Donnellan; Abiba Doukani; Michael Guger; Hans-Peter Hartung; Eva Kubala Havrdova; Bernhard Hemmer; Tom Huizinga; Kathleen Ingenhoven; Poul Erik Hyldgaard-Jensen; Elizabeth C Jury; Michael Khalil; Bernd Kieseier; Anna Laurén; Raija Lindberg; Amy Loercher; Enrico Maggi; Jessica Manson; Claudia Mauri; Badreddine Mohand Oumoussa; Xavier Montalban; Maria Nachury; Petra Nytrova; Christophe Richez; Malin Ryner; Finn Sellebjerg; Claudia Sievers; Dan Sikkema; Martin Soubrier; Sophie Tourdot; Caroline Trang; Alessandra Vultaggio; Clemens Warnke; Sebastian Spindeldreher; Pierre Dönnes; Timothy P Hickling; Agnès Hincelin Mery; Matthieu Allez; Florian Deisenhammer; Anna Fogdell-Hahn; Xavier Mariette; Marc Pallardy; Philippe Broët
Journal:  PLoS Med       Date:  2020-10-30       Impact factor: 11.069

  9 in total

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