Cargando…

Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM

Immuno-PET is a powerful tool to noninvasively characterize the in vivo biodistribution of engineered antibodies. Methods: L1 cell adhesion molecule–targeting humanized (HuE71) IgG(1) and IgG(4) antibodies bearing identical variable heavy- and light-chain sequences but different fragment crystalliza...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharma, Sai Kiran, Suzuki, Maya, Xu, Hong, Korsen, Joshua A., Samuels, Zachary, Guo, Hongfen, Nemieboka, Brandon, Piersigilli, Alessandra, Edwards, Kimberly J., Cheung, Nai-Kong V., Lewis, Jason S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Nuclear Medicine 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973293/
https://www.ncbi.nlm.nih.gov/pubmed/34353869
http://dx.doi.org/10.2967/jnumed.121.262383
_version_ 1784680018223300608
author Sharma, Sai Kiran
Suzuki, Maya
Xu, Hong
Korsen, Joshua A.
Samuels, Zachary
Guo, Hongfen
Nemieboka, Brandon
Piersigilli, Alessandra
Edwards, Kimberly J.
Cheung, Nai-Kong V.
Lewis, Jason S.
author_facet Sharma, Sai Kiran
Suzuki, Maya
Xu, Hong
Korsen, Joshua A.
Samuels, Zachary
Guo, Hongfen
Nemieboka, Brandon
Piersigilli, Alessandra
Edwards, Kimberly J.
Cheung, Nai-Kong V.
Lewis, Jason S.
author_sort Sharma, Sai Kiran
collection PubMed
description Immuno-PET is a powerful tool to noninvasively characterize the in vivo biodistribution of engineered antibodies. Methods: L1 cell adhesion molecule–targeting humanized (HuE71) IgG(1) and IgG(4) antibodies bearing identical variable heavy- and light-chain sequences but different fragment crystallizable (Fc) portions were radiolabeled with (89)Zr, and the in vivo biodistribution was studied in SKOV3 ovarian cancer xenografted nude mice. Results: In addition to showing uptake in L1 cell adhesion molecule–expressing SKOV3 tumors, as does its parental counterpart HuE71 IgG(1), the afucosylated variant having enhanced Fc-receptor affinity showed high nonspecific uptake in lymph nodes. On the other hand, aglycosylated HuE71 IgG(1) with abrogated Fc-receptor binding did not show lymphoid uptake. The use of the IgG(4) subclass showed high nonspecific uptake in the kidneys, which was prevented by mutating serine at position 228 to proline in the hinge region of the IgG(4) antibody to mitigate in vivo fragment antigen-binding arm exchange. Conclusion: Our findings highlight the influence of Fc modifications and the choice of IgG subclass on the in vivo biodistribution of antibodies and the potential outcomes thereof.
format Online
Article
Text
id pubmed-8973293
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Society of Nuclear Medicine
record_format MEDLINE/PubMed
spelling pubmed-89732932022-04-15 Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM Sharma, Sai Kiran Suzuki, Maya Xu, Hong Korsen, Joshua A. Samuels, Zachary Guo, Hongfen Nemieboka, Brandon Piersigilli, Alessandra Edwards, Kimberly J. Cheung, Nai-Kong V. Lewis, Jason S. J Nucl Med Basic Science Investigation Immuno-PET is a powerful tool to noninvasively characterize the in vivo biodistribution of engineered antibodies. Methods: L1 cell adhesion molecule–targeting humanized (HuE71) IgG(1) and IgG(4) antibodies bearing identical variable heavy- and light-chain sequences but different fragment crystallizable (Fc) portions were radiolabeled with (89)Zr, and the in vivo biodistribution was studied in SKOV3 ovarian cancer xenografted nude mice. Results: In addition to showing uptake in L1 cell adhesion molecule–expressing SKOV3 tumors, as does its parental counterpart HuE71 IgG(1), the afucosylated variant having enhanced Fc-receptor affinity showed high nonspecific uptake in lymph nodes. On the other hand, aglycosylated HuE71 IgG(1) with abrogated Fc-receptor binding did not show lymphoid uptake. The use of the IgG(4) subclass showed high nonspecific uptake in the kidneys, which was prevented by mutating serine at position 228 to proline in the hinge region of the IgG(4) antibody to mitigate in vivo fragment antigen-binding arm exchange. Conclusion: Our findings highlight the influence of Fc modifications and the choice of IgG subclass on the in vivo biodistribution of antibodies and the potential outcomes thereof. Society of Nuclear Medicine 2022-04 /pmc/articles/PMC8973293/ /pubmed/34353869 http://dx.doi.org/10.2967/jnumed.121.262383 Text en © 2022 by the Society of Nuclear Medicine and Molecular Imaging. https://creativecommons.org/licenses/by/4.0/Immediate Open Access: Creative Commons Attribution 4.0 International License (CC BY) allows users to share and adapt with attribution, excluding materials credited to previous publications. License: https://creativecommons.org/licenses/by/4.0/. Details: http://jnm.snmjournals.org/site/misc/permission.xhtml.
spellingShingle Basic Science Investigation
Sharma, Sai Kiran
Suzuki, Maya
Xu, Hong
Korsen, Joshua A.
Samuels, Zachary
Guo, Hongfen
Nemieboka, Brandon
Piersigilli, Alessandra
Edwards, Kimberly J.
Cheung, Nai-Kong V.
Lewis, Jason S.
Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM
title Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM
title_full Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM
title_fullStr Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM
title_full_unstemmed Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM
title_short Influence of Fc Modifications and IgG Subclass on Biodistribution of Humanized Antibodies Targeting L1CAM
title_sort influence of fc modifications and igg subclass on biodistribution of humanized antibodies targeting l1cam
topic Basic Science Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973293/
https://www.ncbi.nlm.nih.gov/pubmed/34353869
http://dx.doi.org/10.2967/jnumed.121.262383
work_keys_str_mv AT sharmasaikiran influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT suzukimaya influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT xuhong influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT korsenjoshuaa influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT samuelszachary influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT guohongfen influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT nemiebokabrandon influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT piersigillialessandra influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT edwardskimberlyj influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT cheungnaikongv influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam
AT lewisjasons influenceoffcmodificationsandiggsubclassonbiodistributionofhumanizedantibodiestargetingl1cam