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First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody
With most of the T cells residing in the tissue, not the blood, developing noninvasive methods for in vivo quantification of their biodistribution and kinetics is important for studying their role in immune response and memory. This study presents the first use of dynamic positron emission tomograph...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569706/ https://www.ncbi.nlm.nih.gov/pubmed/37824612 http://dx.doi.org/10.1126/sciadv.adh7968 |
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author | Omidvari, Negar Jones, Terry Price, Pat M. Ferre, April L. Lu, Jacqueline Abdelhafez, Yasser G. Sen, Fatma Cohen, Stuart H. Schmiedehausen, Kristin Badawi, Ramsey D. Shacklett, Barbara L. Wilson, Ian Cherry, Simon R. |
author_facet | Omidvari, Negar Jones, Terry Price, Pat M. Ferre, April L. Lu, Jacqueline Abdelhafez, Yasser G. Sen, Fatma Cohen, Stuart H. Schmiedehausen, Kristin Badawi, Ramsey D. Shacklett, Barbara L. Wilson, Ian Cherry, Simon R. |
author_sort | Omidvari, Negar |
collection | PubMed |
description | With most of the T cells residing in the tissue, not the blood, developing noninvasive methods for in vivo quantification of their biodistribution and kinetics is important for studying their role in immune response and memory. This study presents the first use of dynamic positron emission tomography (PET) and kinetic modeling for in vivo measurement of CD8(+) T cell biodistribution in humans. A (89)Zr-labeled CD8-targeted minibody ((89)Zr-Df-Crefmirlimab) was used with total-body PET in healthy individuals (N = 3) and coronavirus disease 2019 (COVID-19) convalescent patients (N = 5). Kinetic modeling results aligned with T cell–trafficking effects expected in lymphoid organs. Tissue-to-blood ratios from the first 7 hours of imaging were higher in bone marrow of COVID-19 convalescent patients compared to controls, with an increasing trend between 2 and 6 months after infection, consistent with modeled net influx rates and peripheral blood flow cytometry analysis. These results provide a promising platform for using dynamic PET to study the total-body immune response and memory. |
format | Online Article Text |
id | pubmed-10569706 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105697062023-10-13 First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody Omidvari, Negar Jones, Terry Price, Pat M. Ferre, April L. Lu, Jacqueline Abdelhafez, Yasser G. Sen, Fatma Cohen, Stuart H. Schmiedehausen, Kristin Badawi, Ramsey D. Shacklett, Barbara L. Wilson, Ian Cherry, Simon R. Sci Adv Physical and Materials Sciences With most of the T cells residing in the tissue, not the blood, developing noninvasive methods for in vivo quantification of their biodistribution and kinetics is important for studying their role in immune response and memory. This study presents the first use of dynamic positron emission tomography (PET) and kinetic modeling for in vivo measurement of CD8(+) T cell biodistribution in humans. A (89)Zr-labeled CD8-targeted minibody ((89)Zr-Df-Crefmirlimab) was used with total-body PET in healthy individuals (N = 3) and coronavirus disease 2019 (COVID-19) convalescent patients (N = 5). Kinetic modeling results aligned with T cell–trafficking effects expected in lymphoid organs. Tissue-to-blood ratios from the first 7 hours of imaging were higher in bone marrow of COVID-19 convalescent patients compared to controls, with an increasing trend between 2 and 6 months after infection, consistent with modeled net influx rates and peripheral blood flow cytometry analysis. These results provide a promising platform for using dynamic PET to study the total-body immune response and memory. American Association for the Advancement of Science 2023-10-12 /pmc/articles/PMC10569706/ /pubmed/37824612 http://dx.doi.org/10.1126/sciadv.adh7968 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Physical and Materials Sciences Omidvari, Negar Jones, Terry Price, Pat M. Ferre, April L. Lu, Jacqueline Abdelhafez, Yasser G. Sen, Fatma Cohen, Stuart H. Schmiedehausen, Kristin Badawi, Ramsey D. Shacklett, Barbara L. Wilson, Ian Cherry, Simon R. First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody |
title | First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody |
title_full | First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody |
title_fullStr | First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody |
title_full_unstemmed | First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody |
title_short | First-in-human immunoPET imaging of COVID-19 convalescent patients using dynamic total-body PET and a CD8-targeted minibody |
title_sort | first-in-human immunopet imaging of covid-19 convalescent patients using dynamic total-body pet and a cd8-targeted minibody |
topic | Physical and Materials Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10569706/ https://www.ncbi.nlm.nih.gov/pubmed/37824612 http://dx.doi.org/10.1126/sciadv.adh7968 |
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