Literature DB >> 17490912

Clinical validation of the "in silico" prediction of immunogenicity of a human recombinant therapeutic protein.

E Koren1, A S De Groot, V Jawa, K D Beck, T Boone, D Rivera, L Li, D Mytych, M Koscec, D Weeraratne, S Swanson, W Martin.   

Abstract

Antibodies elicited by protein therapeutics can cause serious side effects in humans. We studied immunogenicity of a recombinant fusion protein (FPX) consisting of two identical, biologically active, peptides attached to human Fc fragment. EpiMatrix, an in silico epitope-mapping tool, predicted promiscuous T-cell epitope(s) within the 14-amino-acid carboxy-terminal region of the peptide portion of FPX. On administration of FPX in 76 healthy human subjects, 37% developed antibodies after a single injection. A memory T-cell response against the above carboxy-terminus of the peptide was observed in antibody-positive but not in antibody-negative subjects. Promiscuity of the predicted T-cell epitope(s) was confirmed by representation of all common HLA alleles in antibody-positive subjects. As predicted by EpiMatrix, HLA haplotype DRB1*0701/1501 was associated with the highest T-cell and antibody response. In conclusion, in silico prediction can be successfully used to identify Class II restricted T-cell epitopes within therapeutic proteins and predict immunogenicity thereof in humans.

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Year:  2007        PMID: 17490912     DOI: 10.1016/j.clim.2007.03.544

Source DB:  PubMed          Journal:  Clin Immunol        ISSN: 1521-6616            Impact factor:   3.969


  42 in total

1.  Augmented Binary Substitution: Single-pass CDR germ-lining and stabilization of therapeutic antibodies.

Authors:  Sue Townsend; Brian J Fennell; James R Apgar; Matthew Lambert; Barry McDonnell; Joanne Grant; Jason Wade; Edward Franklin; Niall Foy; Deirdre Ní Shúilleabháin; Conor Fields; Alfredo Darmanin-Sheehan; Amy King; Janet E Paulsen; Timothy P Hickling; Lioudmila Tchistiakova; Orla Cunningham; William J J Finlay
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-30       Impact factor: 11.205

2.  Second International Conference on Accelerating Biopharmaceutical Development: March 9-12, 2009, Coronado, CA USA.

Authors:  Janice M Reichert; Nitya Jacob; Ashraf Amanullah
Journal:  MAbs       Date:  2009-05-20       Impact factor: 5.857

Review 3.  Engineering the variable region of therapeutic IgG antibodies.

Authors:  Tomoyuki Igawa; Hiroyuki Tsunoda; Taichi Kuramochi; Zenjiro Sampei; Shinya Ishii; Kunihiro Hattori
Journal:  MAbs       Date:  2011-05-01       Impact factor: 5.857

Review 4.  Challenges and opportunities in absorption, distribution, metabolism, and excretion studies of therapeutic biologics.

Authors:  Xin Xu; Yulia Vugmeyster
Journal:  AAPS J       Date:  2012-08-04       Impact factor: 4.009

Review 5.  Peptibodies: A flexible alternative format to antibodies.

Authors:  Grant Shimamoto; Colin Gegg; Tom Boone; Christophe Quéva
Journal:  MAbs       Date:  2012-07-23       Impact factor: 5.857

6.  Beyond CDR-grafting: Structure-guided humanization of framework and CDR regions of an anti-myostatin antibody.

Authors:  James R Apgar; Michelle Mader; Rita Agostinelli; Susan Benard; Peter Bialek; Mark Johnson; Yijie Gao; Mark Krebs; Jane Owens; Kevin Parris; Michael St Andre; Kris Svenson; Carl Morris; Lioudmila Tchistiakova
Journal:  MAbs       Date:  2016-09-13       Impact factor: 5.857

7.  Physical characterization and in vitro biological impact of highly aggregated antibodies separated into size-enriched populations by fluorescence-activated cell sorting.

Authors:  Srivalli Telikepalli; Heather E Shinogle; Prem S Thapa; Jae Hyun Kim; Meghana Deshpande; Vibha Jawa; C Russell Middaugh; Linda O Narhi; Marisa K Joubert; David B Volkin
Journal:  J Pharm Sci       Date:  2015-03-05       Impact factor: 3.534

8.  How Close Are We to Profiling Immunogenicity Risk Using In Silico Algorithms and In Vitro Methods?: an Industry Perspective.

Authors:  Jochem Gokemeijer; Vibha Jawa; Shibani Mitra-Kaushik
Journal:  AAPS J       Date:  2017-10-02       Impact factor: 4.009

9.  Optimization algorithms for functional deimmunization of therapeutic proteins.

Authors:  Andrew S Parker; Wei Zheng; Karl E Griswold; Chris Bailey-Kellogg
Journal:  BMC Bioinformatics       Date:  2010-04-09       Impact factor: 3.169

10.  A method for individualizing the prediction of immunogenicity of protein vaccines and biologic therapeutics: individualized T cell epitope measure (iTEM).

Authors:  Tobias Cohen; Leonard Moise; Matthew Ardito; William Martin; Anne S De Groot
Journal:  J Biomed Biotechnol       Date:  2010-07-18
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