Immunogenicity risk assessment of peptide-related impurities identified in generic teriparatide products

Teriparatide is one of several generic peptides named in a recent Food and Drug Administration (FDA) guidance (FDA-2017-D-5767-0002), which outlines a potential strategy to inform immunogenicity risk assessment for synthetic generic peptides without requiring clinical studies. Specifically, the guidance states that for abbreviated new drug applications (ANDAs), once the sameness of the active pharmaceutical ingredient (API) between the generic product and the reference listed drug is established, developers can mitigate the residual risk of unwanted immunogenicity response by using <i>in silico</i> and <i>in vitro</i> tools to characterize differences in product- and process-related impurities between the reference and generic drug products. Regarding product-related impurities, a stated concern is that sequence modifications may create new T-cell epitopes capable of driving unwanted immune responses. Specifically, the guidance sets limits for the relative abundance of each impurity and requests that any new impurity above a certain concentration threshold be evaluated for potential T-cell-driven immunogenicity using orthogonal methods that assess both human leukocyte antigen (HLA) binding and the capacity to elicit a T-cell response. One such orthogonal immunogenicity risk assessment approach was applied to teriparatide (TPT) and several theoretical or observed product-related impurities in the case study described here. First, the immunogenic potential of TPT and selected impurities was assessed using three <i>in silico</i> tools: EpiMatrix, ClustiMer, and JanusMatrix. Second, an <i>in vitro</i> method was used to evaluate the binding affinity of TPT and the selected TPT impurities to different class II HLA-DRs <i>in vitro</i>. Third, a human peripheral blood mononuclear cell (PBMC) T-cell assay compared T-cell proliferation in response to individual impurities or the reference teriparatide drug product, Forteo<sup>®</sup>, <i>in vitro</i>. The orthogonal approaches identified multiple impurities as more immunogenic than TPT. In a novel finding, the <i>in silico</i> analysis revealed a potentially tolerogenic sequence in TPT, which correlated with lower-than-expected <i>de novo</i> immune responses to TPT <i>in vitro</i>. The analysis and methods described in this case study may help assess the relative risk of impurities and help identify those with the potential to increase the immunogenicity risk of a generic peptide.

Authors

Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2025-12-08
DOI
https://doi.org/10.3389/fimmu.2025.1730346
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Immunogenicity risk assessment of peptide-related impurities identified in generic teriparatide products

Kristina E. Howard, Shah Jahan Miah, Aimee E. Mattei, Daniela Verthelyi et al.
Frontiers in Immunology
vaccines and immunoinformatics approaches
article

Immunogenicity risk assessment of peptide-related impurities identified in generic teriparatide products

Kristina E. Howard, Shah Jahan Miah, Aimee E. Mattei, Daniela Verthelyi, Eric Pang, Sandra Lélias, Katie J. Edwards, Anne S. De Groot, James L. Weaver, Brian Roberts
article en

Abstract

Teriparatide is one of several generic peptides named in a recent Food and Drug Administration (FDA) guidance (FDA-2017-D-5767-0002), which outlines a potential strategy to inform immunogenicity risk assessment for synthetic generic peptides without requiring clinical studies. Specifically, the guidance states that for abbreviated new drug applications (ANDAs), once the sameness of the active pharmaceutical ingredient (API) between the generic product and the reference listed drug is established, developers can mitigate the residual risk of unwanted immunogenicity response by using <i>in silico</i> and <i>in vitro</i> tools to characterize differences in product- and process-related impurities between the reference and generic drug products. Regarding product-related impurities, a stated concern is that sequence modifications may create new T-cell epitopes capable of driving unwanted immune responses. Specifically, the guidance sets limits for the relative abundance of each impurity and requests that any new impurity above a certain concentration threshold be evaluated for potential T-cell-driven immunogenicity using orthogonal methods that assess both human leukocyte antigen (HLA) binding and the capacity to elicit a T-cell response. One such orthogonal immunogenicity risk assessment approach was applied to teriparatide (TPT) and several theoretical or observed product-related impurities in the case study described here. First, the immunogenic potential of TPT and selected impurities was assessed using three <i>in silico</i> tools: EpiMatrix, ClustiMer, and JanusMatrix. Second, an <i>in vitro</i> method was used to evaluate the binding affinity of TPT and the selected TPT impurities to different class II HLA-DRs <i>in vitro</i>. Third, a human peripheral blood mononuclear cell (PBMC) T-cell assay compared T-cell proliferation in response to individual impurities or the reference teriparatide drug product, Forteo<sup>®</sup>, <i>in vitro</i>. The orthogonal approaches identified multiple impurities as more immunogenic than TPT. In a novel finding, the <i>in silico</i> analysis revealed a potentially tolerogenic sequence in TPT, which correlated with lower-than-expected <i>de novo</i> immune responses to TPT <i>in vitro</i>. The analysis and methods described in this case study may help assess the relative risk of impurities and help identify those with the potential to increase the immunogenicity risk of a generic peptide.

Frontiers in ImmunologyVol. 16
Center for Drug Evaluation and Research (US), EpiVax (United States) (US), Calspan-University of Buffalo Research Center (US)
Hamilton Health Sciences Foundation
Openalex Percentile: Top 65%
vaccines and immunoinformatics approaches
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.