Literature DB >> 22619033

Relationship between potential aggregation-prone regions and HLA-DR-binding T-cell immune epitopes: implications for rational design of novel and follow-on therapeutic antibodies.

Sandeep Kumar1, Mark A Mitchell, Bonita Rup, Satish K Singh.   

Abstract

Aggregation and unwanted immunogenicity are hurdles to avoid in successful commercial development of antibody-based therapeutics. In this article, the relationship between aggregation-prone regions (APRs), capable of forming cross-β motifs/amyloid fibrils, and major histocompatibility complex class II-restricted human leukocyte antigen (HLA)-DR-binding T-cell immune epitopes (TcIEs) is analyzed using amino acid sequences of 25 therapeutic antibodies, 55 TcIEs recognized by T-regulatory cells (tregitopes), 1000 randomly generated 15-residue-long peptides, 2257 human self-TcIEs (autoantigens), and 11 peptides in HLA-peptide cocrystal structures. Sequence analyses from these diverse sources consistently show a high level of correlation between APRs and TcIEs: approximately one-third of TcIEs contain APRs, but the majority of APRs occur within TcIE regions (TcIERs). Tregitopes also contain APRs. Most APR-containing TcIERs can bind multiple HLA-DR alleles, suggesting that aggregation-driven adverse immune responses could impact a broad segment of patient population. This article has identified common molecular sequence-structure loci that potentially contribute toward both manufacturability and safety profiles of the therapeutic antibodies, thereby laying a foundation for simultaneous optimization of these attributes in novel and follow-on candidates. Incidence of APRs within TcIERs is not special to biotherapeutics, self-TcIEs from human proteins, involved in various diseases, also contain predicted APRs and experimentally proven amyloid-fibril-forming peptide sequence portions.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22619033     DOI: 10.1002/jps.23169

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  9 in total

Review 1.  Approaches to Mitigate the Unwanted Immunogenicity of Therapeutic Proteins during Drug Development.

Authors:  Laura I Salazar-Fontana; Dharmesh D Desai; Tarik A Khan; Renuka C Pillutla; Sandra Prior; Radha Ramakrishnan; Jennifer Schneider; Alexandra Joseph
Journal:  AAPS J       Date:  2017-01-12       Impact factor: 4.009

2.  The Role of Aggregates of Therapeutic Protein Products in Immunogenicity: An Evaluation by Mathematical Modeling.

Authors:  Liusong Yin; Xiaoying Chen; Abhinav Tiwari; Paolo Vicini; Timothy P Hickling
Journal:  J Immunol Res       Date:  2015-11-22       Impact factor: 4.818

3.  Autoimmune Responses to Soluble Aggregates of Amyloidogenic Proteins Involved in Neurodegenerative Diseases: Overlapping Aggregation Prone and Autoimmunogenic regions.

Authors:  Sandeep Kumar; A Mary Thangakani; R Nagarajan; Satish K Singh; D Velmurugan; M Michael Gromiha
Journal:  Sci Rep       Date:  2016-02-29       Impact factor: 4.379

Review 4.  Immunogenicity of Bioproducts: Cellular Models to Evaluate the Impact of Therapeutic Antibody Aggregates.

Authors:  Myriam Nabhan; Marc Pallardy; Isabelle Turbica
Journal:  Front Immunol       Date:  2020-05-05       Impact factor: 7.561

5.  Exploring the sequence features determining amyloidosis in human antibody light chains.

Authors:  Puneet Rawat; R Prabakaran; Sandeep Kumar; M Michael Gromiha
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

6.  On the role of aggregation prone regions in protein evolution, stability, and enzymatic catalysis: insights from diverse analyses.

Authors:  Patrick M Buck; Sandeep Kumar; Satish K Singh
Journal:  PLoS Comput Biol       Date:  2013-10-17       Impact factor: 4.475

Review 7.  Challenges and approaches for the development of safer immunomodulatory biologics.

Authors:  Jean G Sathish; Swaminathan Sethu; Marie-Christine Bielsky; Lolke de Haan; Neil S French; Karthik Govindappa; James Green; Christopher E M Griffiths; Stephen Holgate; David Jones; Ian Kimber; Jonathan Moggs; Dean J Naisbitt; Munir Pirmohamed; Gabriele Reichmann; Jennifer Sims; Meena Subramanyam; Marque D Todd; Jan Willem Van Der Laan; Richard J Weaver; B Kevin Park
Journal:  Nat Rev Drug Discov       Date:  2013-04       Impact factor: 112.288

8.  Computational approaches to therapeutic antibody design: established methods and emerging trends.

Authors:  Richard A Norman; Francesco Ambrosetti; Alexandre M J J Bonvin; Lucy J Colwell; Sebastian Kelm; Sandeep Kumar; Konrad Krawczyk
Journal:  Brief Bioinform       Date:  2020-09-25       Impact factor: 11.622

9.  Intrinsic physicochemical profile of marketed antibody-based biotherapeutics.

Authors:  Lucky Ahmed; Priyanka Gupta; Kyle P Martin; Justin M Scheer; Andrew E Nixon; Sandeep Kumar
Journal:  Proc Natl Acad Sci U S A       Date:  2021-09-14       Impact factor: 11.205

  9 in total

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