The DOI matches its Crossref record; 132 of the 132 references it cites were found in a registry or an index.
Molecular properties of human IgG subclasses and their implications for designing therapeutic monoclonal antibodies against infectious diseases
Open accessAbstract
Monoclonal antibodies are being developed as therapeutics to complement drugs and vaccines or to fill the gap where no drugs or vaccines exist. These therapeutic antibodies (ThAb) may be especially important for infectious diseases in which there is antibiotic resistance, toxin-mediated pathogenesis, or for emerging pathogens. The unique structure of antibodies determines the specific nature of the effector function, so when developing ThAb, the desired effector functions need to be considered and integrated into the design and development processes to ensure maximum efficacy and safety. Antibody subclass is a critical consideration, but it is noteworthy that almost all ThAb that are licenced or currently in development utilise an IgG1 backbone. This review outlines the major structural properties that vary across subclasses, how these properties affect functional immunity, and discusses the various approaches used to study subclass responses to infectious diseases. We also review the factors associated with the selection of antibody subclasses when designing ThAb and highlight circumstances where different subclass properties might be beneficial when applied to particular infectious diseases. These approaches are critical to the future design of ThAb and to the study of naturally-acquired and vaccine-induced immunity.
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Of Mice and Not Men: Differences between Mouse and Human Immunology
Mestas, J., & Hughes, C. C. W. (2004) · The Journal of Immunology · doi:10.4049/jimmunol.172.5.2731 · Cited by 3,822
Sequences of proteins of immunological interest
(1984) · Analytical Biochemistry · doi:10.1016/0003-2697(84)90805-4 · Cited by 3,363
IgG Subclasses and Allotypes: From Structure to Effector Functions
Vidarsson, G., Dekkers, G., & Rispens, T. (2014) · Frontiers in Immunology · doi:10.3389/fimmu.2014.00520 · Cited by 2,667
Anti-Inflammatory Activity of Immunoglobulin G Resulting from Fc Sialylation
Kaneko, Y., Nimmerjahn, F., & Ravetch, J. V. (2006) · Science · doi:10.1126/science.1129594 · Cited by 1,754
Bruhns, P., Iannascoli, B., England, P., Mancardi, D. A., Fernandez, N., Jorieux, S., & Daëron, M. (2009) · Blood · doi:10.1182/blood-2008-09-179754 · Cited by 1,479
Deisenhofer, J. (1981) · PubMed · Cited by 1,422
Deisenhofer, J. (1981) · Biochemistry · doi:10.1021/bi00512a001 · Cited by 1,333
Parekh, R. B., Dwek, R. A., Sutton, B. J., Fernandes, D. L., Leung, A., Stanworth, D., Rademacher, T. W., Mizuochi, T., Taniguchi, T., Matsuta, K., et al. (1985) · Nature · doi:10.1038/316452a0 · Cited by 1,170
Shields, R. L., Namenuk, A. K., Hong, K., Meng, Y. G., Rae, J., Briggs, J., Xie, D., Lai, J., Stadlen, A., Li, B., et al. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m009483200 · Cited by 1,161
Potent antibody therapeutics by design
Carter, P. J. (2006) · Nature Reviews Immunology · doi:10.1038/nri1837 · Cited by 1,099
Cited by
Cao, Y., Su, B., Guo, X., Sun, W., Deng, Y., Bao, L., Zhu, Q., Zhang, X., Zheng, Y., Geng, C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.025 · Cited by 1,188
A review of bispecific antibodies and antibody constructs in oncology and clinical challenges
Suurs, F. V., Lub-de Hooge, M. N., de Vries, E. G. E., & de Groot, D. J. A. (2019) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2019.04.006 · Cited by 292
The Dawn of a New Era: Targeting the “Undruggables” with Antibody-Based Therapeutics
Qian, L., Lin, X., Gao, X., Khan, R. U., Liao, J.-Y., Du, S., Ge, J., Zeng, S., & Yao, S. Q. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.2c00915 · Cited by 155
VIVID: A Web Application for Variant Interpretation and Visualization in Multi-dimensional Analyses
Tichkule, S., Myung, Y., Naung, M. T., Ansell, B. R. E., Guy, A. J., Srivastava, N., Mehra, S., Cacciò, S. M., Mueller, I., Barry, A. E., et al. (2022) · Molecular Biology and Evolution · doi:10.1093/molbev/msac196 · Cited by 11
Self-citation
Metadata
- Authors
- Irani, V., Guy, A. J., Andrew, D., Beeson, J. G., Ramsland, P. A., & Richards, J. S.
- Venue
- Molecular Immunology
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 67
- Issue
- 2
- Pages
- 171-182
- ISSN
- 0161-5890 (ISSN-L)
- OpenAlex
- W2023024432
- Cited by
- 288
- References
- 132
- FWCI
- 22.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Irani, V., Guy, A. J., Andrew, D., Beeson, J. G., Ramsland, P. A., & Richards, J. S. (2015). Molecular properties of human IgG subclasses and their implications for designing therapeutic monoclonal antibodies against infectious diseases. Molecular Immunology. https://doi.org/10.1016/j.molimm.2015.03.255
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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