The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Reduced elimination of IgG antibodies by engineering the variable region
Abstract
Fc engineering to increase the binding affinity of IgG antibodies to FcRn has been reported to reduce the elimination of IgG antibodies. Herein, we present a novel non-FcRn-dependent approach to reduce the elimination of IgG antibodies. Pharmacokinetic studies conducted in normal mice of various humanized IgG4 antibodies, which had identical constant regions but different variable region sequences, revealed that an antibody with a lower isoelectric point (pI) has a longer half-life. These antibodies exhibited comparable binding affinity to FcRn, and with the antibodies with lower pIs, a longer half-life was also observed in beta2-microglobulin knockout mice, suggesting that differences in the pharmacokinetics were due to a non-FcRn-dependent mechanism. On the basis of our findings, we attempted to engineer the pharmacokinetic properties of a humanized anti-IL6 receptor IgG1 antibody. Selected substitutions in the variable region, without substitution in the Fc region, lowered the pI but did not reduce the biological activity and showed a significant reduction in the clearance of the antibody in cynomolgus monkey. These results suggest that lowering the pI by engineering the variable region could reduce the elimination of IgG antibodies and could provide an alternative to Fc engineering of IgG antibodies.
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“Igawa et al. showed that lowering the total pI by 1–2 units resulted in longer half‐lives and slower elimination rates.41”
From Tutorial on monoclonal antibody pharmacokinetics and its considerations in early development (2018) · cites this paper as [41]
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Cites
A JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS
Lindemann, L., Jaeschke, G., Michalon, A., Vieira, E., Honer, M., Spooren, W., Porter, R., Hartung, T., Kolczewski, S., Büttelmann, B., et al. (1909) · JAMA · doi:10.1001/jama.1909.02550020033007 · Cited by 7,889
Antibody Pharmacokinetics and Pharmacodynamics
Lobo, E. D., Hansen, R. J., & Balthasar, J. P. (2004) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.20178 · Cited by 909
Challenges in the development of high protein concentration formulations
Shire, S. J., Shahrokh, Z., & 刘, J. 军. L. (2004) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.20079 · Cited by 886
Sturniolo, T., Bono, E. B., Ding, J., Raddrizzani, L., Tuereci, O., Şahin, U., Braxenthaler, M., Gallazzi, F., Protti, M. P., Sinigaglia, F., et al. (1999) · Nature Biotechnology · doi:10.1038/9858 · Cited by 743
Challenges in the Development of High Protein Concentration Formulations
Shire, S. J., Shahrokh, Z., & Liu, J. (2009) · Springer eBooks · doi:10.1007/978-0-387-76643-0_9 · Cited by 657
Properties of Human IgG1s Engineered for Enhanced Binding to the Neonatal Fc Receptor (FcRn)
Dall’Acqua, W. F., Kiener, P. A., & Wu, H. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m604292200 · Cited by 648
Stability engineering of antibody single-chain Fv fragments
Wörn, A., & Plückthun, A. (2001) · Journal of Molecular Biology · doi:10.1006/jmbi.2000.4265 · Cited by 616
Therapeutic antibodies for human diseases at the dawn of the twenty-first century
Brekke, O. H., & Sandlie, I. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd984 · Cited by 572
Ober, R. J., Radu, C. G., Ghetie, V. F., & Ward, E. S. (2001) · International Immunology · doi:10.1093/intimm/13.12.1551 · Cited by 502
Elimination mechanisms of therapeutic monoclonal antibodies
Tabrizi, M. A., Tseng, C.-M. L., & Roskos, L. K. (2006) · Drug Discovery Today · doi:10.1016/s1359-6446(05)03638-x · Cited by 479
Research works printed but not linked: 4
- Almagro, 2008, Frontiers in bioscience : a journal and virtual library, 13, 1619
- Devenny, 1985, Microcirculation, endothelium, and lymphatics, 2, 15
- Kobayashi, 1999, Cancer Research, 59, 422
- Onda, 2001, Cancer Research, 61, 5070
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Items 201–265 of 265
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Haraya, K., Tachibana, T., & Nezu, J. (2016) · Xenobiotica · doi:10.1080/00498254.2016.1174792 · Cited by 5
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Wang, H., Song, M., Xu, J., et al. (2024) · European Journal of Drug Metabolism and Pharmacokinetics · doi:10.1007/s13318-024-00891-7 · Cited by 4
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Sevy, A. M., & Meiler, J. (2015) · ASM Press eBooks · doi:10.1128/9781555817411.ch10 · Cited by 4
Marian, M., & Seghezzi, W. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-394810-6.00004-6 · Cited by 4
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“positive charge patches in the variable region correlating with poor pharmacokinetics (Schoch et al. 2015; Boswell et al. 2010; Igawa et al. 2010; Khawli et al. 2004), solvent accessibility correlating with tryptophan (Sharma et al.”
BackgroundElectrostatic properties of human germlines and biodistribution of small biologics
Cordeiro, L. M. D. S., Atkinson, K. C., Aivazian, A., et al. (2024) · mAbs · doi:10.1080/19420862.2024.2311991 · Cited by 2
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“21 Non-specific binding is not a rare phenomenon, as recent reports suggest the presence of a trade-off between affinity and specificity.”
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Kato, A., Toshima, A., Takekawa, G., Miyagi, H., Kubota, A., Hori, S., Uemura, Y., & Niwa, R. (2025) · Protein Science · doi:10.1002/pro.70351 · Cited by 2
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“This highlights the potential of minimal engineering for CL ind reduction 22,37 but accompanies the need to not only preserve targeted antigen interactions but also limit the magnitude of the charge manipulations.”
Datta‐Mannan, A., Molitoris, B. A., Feng, Y., Irizarry, M. M. M., Sandoval, R. M., Brown, R. M., Merkel, D., Croy, J. E., & Dunn, K. W. (2022) · Drug Metabolism and Disposition · doi:10.1124/dmd.122.001049 · Cited by 2
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Reyes‐Ruiz, A., Delignat, S., Bhale, A. S., et al. (2024) · Haematologica · doi:10.3324/haematol.2024.286536 · Cited by 1
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Fischer, E. (2013) · Springer eBooks · doi:10.1007/978-1-4471-4372-7_11
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Riedmaier, A. E. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-817134-9.00014-3
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Nakashima, K., & Ono, M. (2026) · Annals of Nuclear Medicine · doi:10.1007/s12149-026-02172-6
Tang, H., McCoy, M., Leonard, A., Mohan, K., Sane, R., Guan, C., Kullolli, M., & Koep, K. (2026) · The AAPS Journal · doi:10.1208/s12248-026-01216-z
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Das, P. K., Mahato, D. L., & Veeranki, V. D. (2026) · Biologicals · doi:10.1016/j.biologicals.2026.101884
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Brachet, G. (2017) · theses.fr (ABES) · doi:10.70675/8a131ef8z9b1az469fzb97aze35914486b73
Dumet, C. (2020) · theses.fr (ABES) · doi:10.70675/5a9ec911z0a71z4e28zbe61za14331956923
Jones, T. D. (2026) · Methods in molecular biology · doi:10.1007/978-1-0716-5041-7_17
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Metadata
- Authors
- Igawa, T., Tsunoda, H., Tachibana, T., Maeda, A., Mimoto, F., Moriyama, C., Nanami, M., Sekimori, Y., Nabuchi, Y., Aso, Y., & Hattori, K.
- Affiliations
- Chugai Pharmaceutical Co., Ltd. (Japan) (JP)
- Venue
- Protein Engineering Design and Selection
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-02-15
- Volume
- 23
- Issue
- 5
- Pages
- 385-392
- ISSN
- 0269-2139 (ISSN-L)
- 1741-0126
- 1741-0134
- OpenAlex
- W2104198642
- Cited by
- 265
- References
- 44
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 15 · 2023: 21 · 2022: 20 · 2021: 22 · 2020: 14 · 2019: 19 · 2018: 25 · 2017: 22 · 2016: 12 · 2015: 22 · 2014: 12 · 2013: 12 · 2012: 17
- FWCI
- 10.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Protein Engineering Design and Selection (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein purification and stability
- Life Sciences › Immunology and Microbiology › Immunology › Biosimilars and Bioanalytical Methods
- Keywords
- antibody half-life, isoelectric point, humanized monoclonal antibody, IgG4 antibodies, pharmacokinetics, Macaca fascicularis, antibody clearance
- MeSH terms
- Animals, Antibodies, Monoclonal, Cricetulus, Genetic Engineering, Half-Life, Cricetinae, Humans, Immunoglobulin G, Immunoglobulin Variable Region, Isoelectric Point, Receptors, Fc, Protein Engineering, Histocompatibility Antigens Class I, CHO Cells, Mice
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