PMID- 32117208 OWN - NLM STAT- MEDLINE DCOM- 20201118 LR - 20240329 IS - 1664-3224 (Electronic) IS - 1664-3224 (Linking) VI - 10 DP - 2019 TI - Major Histocompatibility Complex Binding, Eluted Ligands, and Immunogenicity: Benchmark Testing and Predictions. PG - 3151 LID - 10.3389/fimmu.2019.03151 [doi] LID - 3151 AB - Antidrug antibody (ADA) responses impact drug safety, potency, and efficacy. It is generally assumed that ADA responses are associated with human leukocyte antigen (HLA) class II-restricted CD4+ T-cell reactivity. Although this review does not address ADA responses per se, the analysis presented here is relevant to the topic, because measuring or predicting CD4+ T-cell reactivity is a common strategy to address ADA and immunogenicity concerns. Because human CD4+ T-cell reactivity relies on the recognition of peptides bound to HLA class II, prediction, or measurement of the capacity of different peptides to bind or be natural ligands of HLA class II is used as a predictor of CD4+ T-cell reactivity and ADA development. Thus, three different interconnected variables are commonly utilized in predicting T-cell reactivity: major histocompatibility complex (MHC) binding, capacity to be generated as natural HLA ligands, and T-cell immunogenicity. To provide the scientific community with guidance in the relative merit of different approaches, it is necessary to clearly define what outcomes are being considered. Thus, the accuracy of HLA binding predictions varies as a function of what the outcome predicted is, whether it is binding itself, natural processing, or T-cell immunogenicity. Furthermore, it is necessary that the accuracy of prediction is based on rigorous benchmarking, grounded by fair, objective, transparent, and experimental criteria. In this review, we provide our perspective on how different variables and methodologies predict each of the various outcomes and point out knowledge gaps and areas to be addressed by further experimental work. CI - Copyright (c) 2020 Paul, Grifoni, Peters and Sette. FAU - Paul, Sinu AU - Paul S AD - Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States. FAU - Grifoni, Alba AU - Grifoni A AD - Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States. FAU - Peters, Bjoern AU - Peters B AD - Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States. AD - Department of Medicine, University of California, San Diego, San Diego, CA, United States. FAU - Sette, Alessandro AU - Sette A AD - Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States. AD - Department of Medicine, University of California, San Diego, San Diego, CA, United States. LA - eng GR - 75N93019C00001/AI/NIAID NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Review DEP - 20200205 PL - Switzerland TA - Front Immunol JT - Frontiers in immunology JID - 101560960 RN - 0 (Epitopes, T-Lymphocyte) RN - 0 (Histocompatibility Antigens Class II) RN - 0 (Ligands) SB - IM MH - Animals MH - Benchmarking MH - CD4-Positive T-Lymphocytes/*immunology MH - Epitopes, T-Lymphocyte/immunology MH - Histocompatibility Antigens Class II/*immunology MH - Humans MH - Immunologic Techniques/*standards MH - Ligands MH - Protein Binding/immunology PMC - PMC7012937 OTO - NOTNLM OT - CD4 T cell OT - MHC-prediction OT - anti drug antibodies (ADA) OT - immunogenicity OT - prediction benchmarking EDAT- 2020/03/03 06:00 MHDA- 2020/11/20 06:00 PMCR- 2019/01/01 CRDT- 2020/03/03 06:00 PHST- 2019/10/29 00:00 [received] PHST- 2019/12/30 00:00 [accepted] PHST- 2020/03/03 06:00 [entrez] PHST- 2020/03/03 06:00 [pubmed] PHST- 2020/11/20 06:00 [medline] PHST- 2019/01/01 00:00 [pmc-release] AID - 10.3389/fimmu.2019.03151 [doi] PST - epublish SO - Front Immunol. 2020 Feb 5;10:3151. doi: 10.3389/fimmu.2019.03151. eCollection 2019.