Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • Resource and Technical Advances
    • Clinical Medicine
    • Reviews
    • Editorials
    • Perspectives
    • Top read articles
  • JCI This Month
    • Current issue
    • Past issues

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Editorials
  • Viewpoint
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Transfers
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Share this article
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Introduction
  • Results
  • Discussion
  • Methods
  • Author contributions
  • Supplemental material
  • Acknowledgments
  • Footnotes
  • References
  • Version history
  • Article usage
  • Citations to this article
Advertisement

Clinical MedicineCOVID-19 Open Access | 10.1172/jci.insight.168102

Prior cycles of anti-CD20 antibodies affect antibody responses after repeated SARS-CoV-2 mRNA vaccination

Hiromitsu Asashima,1,2 Dongjoo Kim,3,4 Kaicheng Wang,5 Nikhil Lele,1,2 Nicholas C. Buitrago-Pocasangre,1,2 Rachel Lutz,1,2 Isabella Cruz,1,2 Khadir Raddassi,1,2 William E. Ruff,1,2,6 Michael K. Racke,7 JoDell E. Wilson,7 Tara S. Givens,7 Alba Grifoni,8 Daniela Weiskopf,8 Alessandro Sette,8,9 Steven H. Kleinstein,2,10,11 Ruth R. Montgomery,12 Albert C. Shaw,13 Fangyong Li,5 Rong Fan,3,4,10 David A. Hafler,1,2 Mary M. Tomayko,10,14 and Erin E. Longbrake1

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Asashima, H. in: JCI | PubMed | Google Scholar

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Kim, D. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Wang, K. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Lele, N. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Buitrago-Pocasangre, N. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Lutz, R. in: JCI | PubMed | Google Scholar

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Cruz, I. in: JCI | PubMed | Google Scholar

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Raddassi, K. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Ruff, W. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Racke, M. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Wilson, J. in: JCI | PubMed | Google Scholar

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Givens, T. in: JCI | PubMed | Google Scholar

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Grifoni, A. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Weiskopf, D. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Sette, A. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Kleinstein, S. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Montgomery, R. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Shaw, A. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Li, F. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Fan, R. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Hafler, D. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Tomayko, M. in: JCI | PubMed | Google Scholar |

1Department of Neurology, and

2Department of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.

3Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.

4Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, Connecticut, USA.

5Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, Connecticut, USA.

6Repertoire Immune Medicines, Cambridge, Massachusetts, USA.

7Quest Diagnostics, Secaucus, New Jersey, USA.

8Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, California, USA.

9Department of Medicine, Division of Infectious Diseases and Global Public Health, UCSD, La Jolla, California, USA.

10Department of Pathology, Yale School of Medicine, New Haven, Connecticut, USA.

11Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.

12Department of Internal Medicine,

13Section of Infectious Diseases, Department of Internal Medicine, and

14Department of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Find articles by Longbrake, E. in: JCI | PubMed | Google Scholar |

Authorship note: HA and DK contributed equally to this work. MMT and EEL contributed equally to this work and are co–corresponding authors.

Published August 22, 2023 - More info

Published in Volume 8, Issue 16 on August 22, 2023
JCI Insight. 2023;8(16):e168102. https://doi.org/10.1172/jci.insight.168102.
© 2023 Asashima et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Published August 22, 2023 - Version history
Received: December 15, 2022; Accepted: July 6, 2023
View PDF
Abstract

BACKGROUND. While B cell depletion is associated with attenuated antibody responses to SARS-CoV-2 mRNA vaccination, responses vary among individuals. Thus, elucidating the factors that affect immune responses after repeated vaccination is an important clinical need.

METHODS. We evaluated the quality and magnitude of the T cell, B cell, antibody, and cytokine responses to a third dose of BNT162b2 or mRNA-1273 mRNA vaccine in patients with B cell depletion.

RESULTS. In contrast with control individuals (n = 10), most patients on anti-CD20 therapy (n = 48) did not demonstrate an increase in spike-specific B cells or antibodies after a third dose of vaccine. A third vaccine elicited significantly increased frequencies of spike-specific non-naive T cells. A small subset of B cell–depleted individuals effectively produced spike-specific antibodies, and logistic regression models identified time since last anti-CD20 treatment and lower cumulative exposure to anti-CD20 mAbs as predictors of those having a serologic response. B cell–depleted patients who mounted an antibody response to 3 vaccine doses had persistent humoral immunity 6 months later.

CONCLUSION. These results demonstrate that serial vaccination strategies can be effective for a subset of B cell–depleted patients.

FUNDING. The NIH (R25 NS079193, P01 AI073748, U24 AI11867, R01 AI22220, UM 1HG009390, P01 AI039671, P50 CA121974, R01 CA227473, U01CA260507, 75N93019C00065, K24 AG042489), NIH HIPC Consortium (U19 AI089992), the National Multiple Sclerosis Society (CA 1061-A-18, RG-1802-30153), the Nancy Taylor Foundation for Chronic Diseases, Erase MS, the Robert Leet and Clara Guthrie Patterson Trust, and the Claude D. Pepper Older Americans Independence Center at Yale (P30 AG21342).

Graphical Abstract
graphical abstract
Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes the clinical syndrome coronavirus disease 19 (COVID-19). Two mRNA vaccines targeting the full-length SARS-CoV-2 spike protein, BNT162b2 (Pfizer-BioNTech) and mRNA-1273 (Moderna), elicit humoral and cellular immunity and demonstrate high efficacy in preventing severe COVID-19 in healthy individuals (1–8). Waning vaccine effectiveness beginning around 6 months after vaccination in healthy individuals can be ameliorated by a booster vaccination (9).

In contrast with the immune response and protection afforded to healthy individuals, immunocompromised individuals have an attenuated response to vaccination (10–15). This is particularly true for B cell–depleted patients. Anti-CD20 mAbs, including rituximab and ocrelizumab, are utilized for a variety of autoimmune conditions and malignancies. These medications elicit loss of circulating immature and mature B cells, interrupting memory B cell generation and plasmablast/plasma cell differentiation. Most patients on B cell depletion therapy failed to mount an effective antibody response after 2 SARS-CoV-2 mRNA vaccinations (15–18), although they do develop virus-specific CD4+ and CD8+ T cells in numbers at or above the levels seen in healthy control individuals (15, 17).

Serial vaccination improved seroconversion rates for some subsets of immunocompromised patients (19), leading to a Center for Disease Control (CDC) recommendation that immunocompromised individuals receive an additional dose of vaccine for their primary series; however, it is not established whether this vaccination strategy is effective for B cell–depleted patients (20–22). Indeed, B cell–depleted patients have heterogeneous immune responses and there are insufficient data elucidating the vaccine response for a wide spectrum of these patients. Moreover, there is a need to identify the clinical characteristics of patients who are likely to benefit from serial vaccinations, with the goal of informing data-driven vaccination strategies for this vulnerable population.

Here, we evaluated immune responses to third mRNA vaccinations, measuring the antibody profiles against SARS-CoV-2 variants as well as the immunophenotype and functional profile for spike-specific T and B cells. We also applied systems biology approaches, including multiplex cytokine profiling, to clarify the relationship between proteomic signatures and vaccine immune responses (23–26).

Results

Attenuated humoral immune responses to third mRNA vaccinations in patients after anti-CD20 mAb. To determine whether serial vaccination cumulatively increases humoral immunity and whether additional doses of vaccine boost protective antibodies in the context of B cell depletion, we conducted a prospective, longitudinal study that included B cell–depleted treated patients, disease-control individuals not on immunotherapy, and age- and sex-matched healthy individuals (Table 1). A total of 40 controls and 93 B cell–depleted patients contributed 492 samples at 7 different time points spanning 3 vaccinations. Sample sizes at each time point are presented in Supplemental Figure 1; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.168102DS1 We observed an attenuated humoral immune response to mRNA vaccination in B cell–depleted patients across the initial 2-dose vaccine series; only 31.3% of these individuals had detectable spike antibodies before a third dose and seropositive individuals had significantly lower titers than controls (Figure 1A and Supplemental Figure 2A). The fraction of seropositive B cell–depleted individuals increased steadily over time; while only 26.2% of B cell–depleted patients were seropositive 1 week after 2 vaccines, 45.3% were seropositive after a third vaccine. The proportion of B cell–depleted patients producing neutralizing antibodies after 3 vaccines was more than double that observed after 2 vaccines (34.9% vs. 14.3%) (Figure 1, A–C, and Supplemental Figure 2, A and B). Receiving a third vaccination significantly increased spike antibody titers for controls (P < 0.001, pre-V3 vs. post-V3 in controls), and a similar trend was observed for seropositive B cell–depleted individuals (P = 0.055, pre-V3 vs. post-V3 in seropositive B cell–depleted individuals) (Supplemental Figure 2A). A few patients with B cell depletion therapies had a history of natural infection during serial vaccinations, which brought up the question of whether prior infection might be a predictor of vaccine serologic responses. Multivariable logistic regression analyses showed that after controlling for age, sex, BMI, and time from the last anti-CD20 mAb infusion, prior natural infection with SARS-CoV-2 was an independent predictor of seroconversion (Supplemental Figure 2, C and D). Intriguingly, lower cumulative exposure to anti-CD20 mAbs was also an independent predictor of producing spike and neutralizing antibodies across the B cell–depleted cohort.

Humoral vaccine responses to third mRNA vaccines after anti-CD20 mAb treatmFigure 1

Humoral vaccine responses to third mRNA vaccines after anti-CD20 mAb treatments. (A and B) Dot plots of anti–SARS-CoV-2 spike antibody titers (A) and neutralizing antibody titers (B) were evaluated from before the first vaccine (baseline) to 6 months after the third vaccine (V3 + 24 weeks). The median is marked by a horizontal line. The proportion of seropositive participants at each time point is shown above the dot plots and the dotted line indicates the threshold for antibody detection (0.01 μg/mL). Circles represent participants without documented SARS-CoV-2 infections and triangles show those with known prior infection at each time point. Data were evaluated by independent-sample 2-tailed t test. (C) Box-and-whisker plots of the neutralization capacities between controls (pre-V3, n = 18; post-V3, n = 18; 24 weeks post-V3, n = 10) and B cell depletion (pre-V3, n = 67; post-V3, n = 63; 24 weeks post-V3, n = 29) is shown. The median is marked by a horizontal line, with whiskers extending to the farthest point within a maximum of 1.5 × IQR. Independent-sample 2-tailed t tests were performed. (D) Dot plots of anti-spike or anti-RBD antibody concentrations for each variant (Alpha, Beta, Gamma, and Delta) between controls (pre-V3, n = 16; post-V3, n = 15) and B cell–depleted participants (pre-V3, n = 66; post-V3, n = 59). The median is marked by a horizontal line. The proportion of seropositive participants at each time point is shown above the dot plots and the dotted line indicates the threshold for antibody detection (0.01 μg/mL). Independent-sample 2-tailed t tests with Bonferroni’s correction were performed. Ctrl, control participants; BCDT, patients with B cell depletion therapy.

Table 1

Patient demographics: total cohort

Patients on B cell depletion therapy often fail to effectively clear SARS-CoV-2 after infection, which can lead to prolonged periods of viral replication, viral mutation, and new variant emergence within the same host (27–29). To determine the effect of vaccination on specific SARS-CoV-2 variants among healthy and B cell–depleted patients, we quantitated the antibody responses to specific viral strains (Figure 1D), employing a chip- and vacuum-based platform developed by our group (30). With this assay, we can evaluate the concentrations of up to 50 proteins simultaneously, including cytokines, chemokines, and specific antibodies. We confirmed that anti-spike antibodies measured using our multiplex platform correlate strongly with commercial immunoassays (Supplemental Figure 3). Vaccination elicited a significant increase in anti-spike and anti-RBD antibodies against Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), and Delta (B.1.617.2) strains in control but not B cell–depleted individuals, demonstrating that the attenuation of vaccine-induced humoral immunity among these individuals was not strain specific (Figure 1D). We did not test for Omicron strains, as the majority of our sample collection preceded this variant’s emergence.

Lower circulating B cell numbers limit the vaccine-induced rise in spike-specific B cells. As expected, there were few total peripheral blood CD19+ B cells in B cell–depleted individuals (Figure 2A), and the presence of circulating B cells was positively correlated with longer intervals between most recent anti-CD20 infusion and vaccination, but not with the cumulative dose of anti-CD20 antibody treatment (Supplemental Figure 4, A and B). We quantified circulating spike-specific B cells before and after a third vaccine (pre- and post-V3); a third dose of mRNA vaccine elicited an increase in spike-specific B cells among control, but not B cell–depleted individuals (Figure 2B). These spike-specific B cells were primarily IgD–CD27+ class-switched memory B cells and IgD–CD27– double-negative (DN) cells (31) (Figure 2, C and D, and Supplemental Figure 5A). Among the DN cells, most were CD11c–CXCR5+ DN1 memory precursor cells, but CD11c+CXCR5– DN2 activated extrafollicular naive B cells were detected as well (Supplemental Figure 5B). The presence of CD19+ B cells in the peripheral blood before V3 was strongly predictive of the generation of spike-specific B cells after V3 (r = 0.733, P < 0.001), and all individuals whose B cells comprised more than 0.25% of peripheral lymphocytes generated spike-specific B cells after a third vaccine (Figure 2E). Intriguingly, while a positive correlation between total peripheral blood B cells and spike-antibody titers was observed (r = 0.622, P < 0.001), some B cell–depleted patients produced anti-spike antibodies despite having few peripheral blood B cells before V3 (Figure 2F). Comparing the clinical information between antibody producers (seropositive individuals after V3) and antibody nonproducers (seronegative after V3), the former had significantly lower cumulative exposure to anti-CD20 mAbs (Table 2). In contrast, there was no significant difference between the duration from the last anti-CD20 antibodies to a third vaccine. We also evaluated the relationship between circulating immune cell subtypes and neutralizing antibodies (Supplemental Figure 6). While total circulating B cells and neutralizing-antibody titers were positively correlated (r = 0.5930, P < 0.001), we again observed that some B cell–depleted patients produced neutralizing antibodies despite low numbers of circulating B cells. B cell–depleted individuals with measurable neutralizing antibodies had a lower cumulative exposure to anti-CD20 mAbs, similar to those with measurable total anti-spike antibodies. Overall, detection of CD19+ B cells in the blood may be a useful biomarker for predicting the induction of spike-specific B cells.

Spike-specific B cell response to third mRNA vaccines after B cell depletioFigure 2

Spike-specific B cell response to third mRNA vaccines after B cell depletion. (A) Representative flow cytometry of CD19+ B cells and their proportions between controls (n = 10) and B cell–depleted participants (n = 48). Data are represented as mean ± SEM and independent-sample t tests with Bonferroni’s correction were performed. (B) Representative flow cytometry of spike+ B cells and their proportions between controls (n = 10) and B cell depleted (n = 48). Wilcoxon’s signed-rank test (middle) and independent-sample 2-tailed t tests with Bonferroni’s correction were performed. (C and D) Representative flow cytometry of each subset in spike+ B cells and their proportions between pre-V3 and post-V3 in controls (n = 10). UCSM, IgD+CD27+ non–class-switched memory B cells; CSM, IgD–CD27+ class-switched memory B cells; DN, IgD–CD27– double-negative B cells. (E and F) Correlation between the proportion of CD19+ B cells before V3 and the proportion of spike+ B cells (E) or anti–SARS-CoV-2 spike antibody titers (F) after V3 in B cell–depleted participants (n = 47–48). The vertical dotted line represents the value of 0.25% (E). Linear regression is shown with 95% confidence intervals (gray area) and correlation statistics by 2-tailed Spearman’s rank correlation test were performed (F).

Table 2

Clinical comparison between antibody producers and nonproducers after B cell depletion

Robust increase in spike-specific T cells after third vaccinations. As robust T cell responses have been reported in B cell–depleted patients after 2 mRNA vaccinations (15), we monitored both spike-specific CD4+ memory T cells and CD8+ memory T cells before and after a third vaccine. Both groups exhibited robust spike-specific T cells months after their second vaccine (pre-V3). Although the duration between the second and third vaccines was significantly shorter for B cell–depleted individuals compared with controls (Supplemental Table 1), this interval was not correlated with the proportions of spike-specific T cells prior to the third vaccine in our cohort (Supplemental Figure 7). The proportion of these T cells significantly increased after V3 in B cell–depleted patients, but not in controls (Figure 3, A–F). The overall proportions of spike-specific CD4+ and CD8+ T cells was not significantly different between controls and B cell–depleted individuals, although there were trends for a heightened CD8+ response in these patients only (Figure 3F). To elucidate which clinical variables were associated with vaccine-associated increases in spike-specific memory CD8+ T cells for B cell–depleted treated individuals, we applied logistic regression models (Table 3) and found that lower body mass index (BMI, kg/m2) correlated with increased spike-specific memory CD8+ T cells (Figure 3, G and H). Natural infection with SARS-CoV-2 prior to a third vaccination was not correlated with the change in spike-specific CD8+ T cells elicited by a third vaccination (P = 0.56, Fischer’s exact test, data not shown).

Spike-specific T cell response to third mRNA vaccine after anti-CD20 mAb thFigure 3

Spike-specific T cell response to third mRNA vaccine after anti-CD20 mAb therapy. (A–C) Representative flow cytometry of CD137+OX40+ spike-specific CD4+ T cells (A) and their proportions between controls (n = 10) and B cell–depleted participants (n = 48) in relation to a third vaccination (B and C). Baseline, prevaccination samples for controls (n = 17), and B cell–depleted participants (n = 23) were also evaluated. Wilcoxon’s signed-rank test (B) and 2-tailed independent-sample t test (C) were performed. (D–F) Representative flow cytometry of CD137+CD69+ spike-specific CD8+ T cells (D) and their proportions between controls (n = 10) and B cell depletion (n = 48) (E and F). Wilcoxon’s signed-rank test (E) and 2-tailed independent-sample t test (F) were performed. (G) Body mass index (BMI, kg/m2) between B cell–depleted participants with increased spike-specific CD8+ T cells (n = 36) and without an increase (n = 12). Two-tailed independent-sample t test was performed. (H) The proportion of increased spike-specific CD8+ T cells before V3 based on BMI (kg/m2). WHO BMI classification was applied for the subgroups with B cell depletion: BMI < 18.5 (n = 0), 18.5–24.9 (n = 20), 25.0–29.9 (n = 10), 30.0–34.9 (n = 10), > 35.0 (n = 8).

Table 3

Multiple regression predicting spike-specific CD8+ T cell increases after third vaccine in B cell–depleted individuals

Serum proteomics after third vaccine in B cell–depleted patients. Systems biology approaches have been effectively used to explore the molecular determinants of vaccination responses and some proteomic signatures are reported to be linked to various vaccine components (23–26). Immune cell proteomics, including cytokine/chemokine expression, have not yet been evaluated after vaccination in individuals using B cell depletion. To determine whether serum proteomics could detect differences in the immune responses of control and B cell–depleted individuals, we used our multiplex platform described above (30). There were no observed changes in systemic inflammatory cytokines/chemokines after vaccination for either control or treated patients (Supplemental Figure 8), and there were no clear differences between B cell–depleted patients who did or did not mount detectable humoral immune responses (Supplemental Figure 9). Among B cell–depleted individuals with mounted spike-specific CD4+ T cell expansion after the third vaccination, we observed a significant decrease in von Willebrand factor (vWF) after V3 (Supplemental Figure 10). Moreover, CCL5 was significantly decreased in B cell–depleted individuals who manifested increased spike-specific T cell responses (Supplemental Figures 10 and 11). These results indicate that proteomic signatures were related to T cell responses in individuals after anti-CD20 mAb therapy.

Prior cycles of anti-CD20 antibodies affected humoral immunity to serial COVID-19 vaccination. We used logistic regression to elucidate which B cell–depleted individuals were likely to mount a humoral immune response to a third anti-SARS-CoV-2 vaccination. We observed increasing anti-spike antibody titers after V3 for 14 of 44 patients; of the remaining patients, 2 had slightly decreasing titers (2.1 U/mL to 2 U/mL, and 199 U/mL to 164 U/mL) while the rest never mounted detectable anti-spike antibodies (Figure 4A). Multivariable logistic regression demonstrated that longer time since last anti-CD20 treatment and a lower cumulative dose of anti-CD20 antibodies (lower number of prior treatment cycles) were independently associated with greater odds of serologic response (i.e., being “responder”) to a third vaccine (Table 4, Figure 4, B and C, and Supplemental Figure 12). There was no significant association between known SARS-CoV-2 infections prior to a third vaccine and increased spike-antibodies after vaccination (P = 0.58, Fischer’s exact test). Finally, we evaluated the durability of a detectable serologic response to third-vaccine immunity over time. Six months after V3, both controls and seropositive B cell–depleted patients maintained a robust humoral response to SARS-CoV-2 (Figure 4D). These data suggest that serologic “responders” could maintain humoral responses for at least 6 months after V3.

The prediction of humoral immune responses after third vaccine in B cell–deFigure 4

The prediction of humoral immune responses after third vaccine in B cell–depleted participants. (A) Sequential anti–SARS-CoV-2 spike antibody titers before and after V3 in B cell–depleted participants (n = 44). (B and C) Prior cycles of anti-CD20 antibodies between B cell–depleted participants with increased anti-spike antibodies (n = 14) and without an increase (n = 30). Two-tailed independent-sample t test was performed (C). (D) Box-and-whisker plots of sequential anti–SARS-CoV-2 spike antibody titers from before V3 to 24 weeks after the third vaccine (V3 + 24 weeks). The median is marked by a horizontal line, with whiskers extending to the farthest point within a maximum of 1.5 × IQR. Controls (blue, n = 7), B cell–depleted participants who increased anti-spike antibodies after V3 (green, n = 7), and B cell–depleted participants who did not increase anti-spike antibodies after V3 (purple, n = 14) are shown. Independent-sample 2-tailed t tests with Bonferroni’s correction were performed.

Table 4

Multiple regression predicting the increase in spike antibodies in B cell–depleted individuals

Discussion

Although serial vaccination improves seroconversion rates for some immunocompromised patients, the effectiveness of this strategy has not yet been established for B cell–depleted patients. Despite this, most of these patients have received at least 4 vaccinations. Many are reporting vaccine burn-out, frustration with ever-changing recommendations, and reluctance to get yet another vaccine. Others continue to fear infection and seek out any opportunity for enhanced protection against COVID-19, sometimes getting more vaccines than recommended. Evidence-based decision-making tools are needed. Our study represents the first comprehensive assessment to our knowledge of the serologic and cellular immune responses, combined with systemic proteomics, elicited by a third mRNA vaccine.

Multivariate regression models identified longer intervals between anti-CD20 infusions and vaccination and lower cumulative exposure to anti-CD20 antibodies as being independently associated with increasing anti-spike antibody titers after V3 in B cell–depleted patients. Longer intervals between anti-CD20 mAb and vaccination have been previously correlated with improved humoral responses (12, 32, 33). Previously published data have also shown that peripheral B cell counts predict vaccine-induced seroconversion among B cell–depleted patients (34–36); in our cohort, we found a stronger association between peripheral B cells and spike-specific B cells (Figure 2E) than between total B cells and spike antibody titers (Figure 2F). This difference may be due in part to unique aspects of the study design, including the time points studied and the cohort demographics.

We were able to identify cumulative exposure to anti-CD20 medication, along with the time between B cell depletion and vaccination, as important predictors of those for whom serial vaccination elicits a humoral response (Figure 2F). This suggests that an impaired vaccine response may be a specific risk for those on long-term B cell depletion. B cell–depleting strategies are utilized chronically for treating a variety of autoimmune disorders, including multiple sclerosis (MS), rheumatoid arthritis, and autoimmune blistering disease (37, 38). While these medications generally have a favorable side effect profile (39), long term use has also been associated with prolonged delays in B cell reconstitution (40) and an increased risk of hypogammaglobulinemia (41). Although anti-CD20 therapy rapidly depletes circulating B cells, B cells within secondary lymphoid tissue can be resistant to depletion (42–44). Thus, the decreased vaccination response observed in patients on long-term therapy may represent complex alterations in immune function capabilities. Further investigation will be needed to elucidate the relationship between repeated B cell depletion, tissue-resident B cells, and vaccine responses.

We also evaluated cellular responses to mRNA vaccines and demonstrated a robust spike-specific CD4+ and CD8+ T cell response for both B cell–depleted and control patients. Although the T cell response was largely sustained between the initial vaccine series and the third dose, the spike-specific CD8+ T cell response was enhanced in B cell–depleted patients compared with controls (Figure 3C), corroborating previous reports (45, 46). These data together provide evidence in human systems that cell-cell interactions are regulated thoroughly and imply a possible role for B cells in the regulation of CD8+ T cell expansion. Further experiments to examine the mechanisms for this observation are warranted. Multivariate analysis using backward binary logistic regression identified higher BMI (kg/m2) as being significantly associated with attenuated CD8+ T cell responses to serial vaccination (Figure 3G). Obesity increases the likelihood of a poor vaccine-induced immune response (47, 48) and both human data and mouse models have shown not only poorer seroconversion rates, but also impaired T cell responses to influenza vaccinations in obese individuals (49–52). Putative mechanisms include obesity-induced alterations in CD8+ T cell–mediated metabolism and effector functions (53); additionally, antigen-presenting capacities of dendritic cells are impaired in obesity, with downstream impairments in CD8+ T cell activation (54). Our findings indicate obesity as a potential risk factor for diminished vaccine responses among B cell–depleted patients.

To better understand how vaccination affects the systemic immune response, we evaluated proteomics before and after a third vaccine using high-plex immune assays. While we did not observe differences in circulating protein expression between controls and anti-CD20 mAb–treated patients, a lower vWF concentration was detected in B cell–depleted patients who increased CD4+ T cell responses after a third vaccine. Moreover, a significant decrease in CCL5 was detected in individuals with higher T cell responses (Supplemental Figures 10 and 11). These factors are released from several cell subsets, including macrophages, endothelial cells, platelets, and fibroblasts (55, 56). The mRNA vaccines are reported to induce platelet activation (57), and furthermore enhance innate and CD8+ T cell responses through type I interferon–dependent MDA5 signaling (58). Although further investigation is needed to elucidate the exact mechanisms affecting vaccine responses, these results demonstrate that immunomodulatory capacities of mRNA vaccines differ among B cell–depleted individuals and that comprehensive proteomics analysis might be useful to predict better immune responses to mRNA vaccinations.

There are some limitations to our study. Our data disproportionately represent individuals of European ancestry and those with primary autoimmune diseases, mainly MS, which may affect our results. Although data from control individuals showed a robust cellular and humoral response to vaccination, aligning well with previously published cohorts (59, 60), in our study, controls were fewer in number than B cell–depleted participants and this could be a limitation. Moreover, this study partially overlapped with the Omicron (B.1.1.529) surge, and some participants may have been asymptomatically infected during the study. Interestingly, one B cell–depleted patient who failed to develop anti-spike Abs in response to vaccination did seroconvert after a natural SARS-CoV-2 infection 5 months after their third vaccination. This case shows that a poor response to 3 doses of mRNA vaccine does not mean failure of the humoral immune response to SARS-CoV-2. Another important consideration is that most B cell–depleted patients who received mRNA-1273 vaccinations for a third dose received full doses (rather than the half-doses typically administered as “boosters” to immunocompetent individuals). The immune consequences of B cell depletion in patients are complex and may be impacted by many variables, including timing of anti-CD20 dosing, concentration of the stimulus, and type of immune stimulation such as vaccination versus infection. Nevertheless, despite repeated dosing, even high-dose mRNA vaccines elicited a humoral anti-spike antibody response in only a minority of B cell–depleted patients.

In summary, our data implicate cumulative anti-CD20 antibody dose, time since last anti-CD20 antibody infusion, and BMI as variables useful for the prediction of immune responses in patients with B cell depletion. These data provide a potential framework for assessing the likelihood of a future immune response to repeated vaccinations among B cell–depleted patients and shaping policy-level recommendations to this vulnerable population.

Methods

Patients and samples. We recruited adult patients (≥18 years) who received vaccination against COVID-19 between February 2021 and May 2022. Study participants had a diagnosis of autoimmune neurologic or skin disease, either treated with B cell depletion, or on no immunotherapy. Patients without any therapies (disease controls) and healthy individuals were classified as controls and participants on B cell depletion therapies were classified into the B cell depletion therapy group. Those who were pregnant, had received high doses of steroids within 1 month of vaccination, or had newly initiated anti-CD20 medications (first dose within 2 weeks of vaccination) were excluded. Participants who donated baseline samples but not postvaccination samples were removed from the analyses. Participants donated blood prior to vaccination, and then at prespecified time points thereafter (Supplemental Figure 1). Additional participants were recruited at the time of third vaccinations, such that not all participants studied before and after a third vaccine had provided a baseline sample prior to any COVID-19 vaccination. Demographics for the subgroup studied before and after V3 are reported in Supplemental Table 1.

Blood processing. Peripheral blood mononuclear cells (PBMCs) were prepared from whole blood by Ficoll gradient centrifugation with Lymphoprep (Stemcell), counted (TC20 Automated Cell Counter, Bio-rad), resuspended in serum-free Bambanker medium (Bulldog-bio) at 10 million cells/mL, and stored in liquid nitrogen. Serum was isolated, aliquoted, and stored at –80°C.

The measurements of anti–SARS-CoV-2 antibodies. Anti-spike and neutralizing SARS-CoV-2 antibodies were measured by Quest Diagnostics (test code 39820) and SARS-CoV-2 Surrogate Virus Neutralization Test Kit (GenScript). Strain-specific antibodies were measured using our high-plex immune-serology assay (below).

Flow cytometry. PBMCs were resuspended in Live/Dead Fixable Blue Dead Cell Stain (Thermo Fisher Scientific), blocked with Human TruStan FcX (BioLegend), and stained. Lymphocyte events were acquired by BD FACSymphony A5 and data analysis was done with BD FACSDiva Software. The antibodies were as follows: anti-CD3 (BD Biosciences, 751252, SK7), anti-CXCR5 (BD Biosciences, 558113/565191, RF8B2), anti–HLA-DR (BD Biosciences, 564040, G46-6), anti-CD4 (BD Biosciences, 612936, SK3), anti-CD69 (BD Biosciences, 750213, FN50), anti-CCR7 (BD Biosciences, 566437, 3D12), anti-CD45RA (BD Biosciences, 560674, HI100), anti-IgD (BioLegend, 348226, I-A6), anti-CD11c (BioLegend, 301636, 3.9), anti-CD38 (BioLegend, 303528, HIT2), anti-CD19 (BioLegend, 302262, HIB19), anti-CD21 (BioLegend, 354904, Bu32), anti-CXCR3 (BioLegend, 353736, G025H7), anti-CD27 (BioLegend, 356412, M-T271), anti-CD24 (BioLegend, 311132, ML5), anti–IFN-γ (BioLegend, 502532, 4S.B3), anti-CD25 (BioLegend 302632, BC96), anti-OX40 (BioLegend, 350030, Ber-ACT35), anti-CD8 (BioLegend, 44756, SK1), anti-CD38 (BioLegend, 356610, HB-7), anti–PD-1 (BioLegend, 329906, EH12.H7), anti-CD40LG (BioLegend, 310840, 24-31), anti-CD137 (BioLegend, 309818, 4B4-1), and recombinant SARS-CoV-2 spike protein (R&D Systems, AFR10561-020/AFG10561-020).

The detection of SARS-CoV-2–specific T cells. PBMCs were diluted with RPMI to 0.5 × 106 cells/mL and rested overnight (16–18 hours) at 37°C in a 5% CO2 incubator. Cells were incubated with anti-CD40 blocking antibodies (catalog 130-094-133, HB14, Miltenyi Biotec; 0.5 μg/mL) and then stimulated with a spike pool composed of 15-mer peptides overlapping by 10 amino acids resuspended in DMSO (final concentration, 1 μg/mL) (55) and anti–human CD28 and CD49d antibodies (catalog 347690, BD Biosciences; 1 μg/mL) for 24 hours. As a negative control, an equimolar amount of DMSO was added. For the last 8 hours, protein secretion inhibitors (catalog 420601/420701, BioLegend) were added. Cells were washed, incubated with Zombie Aqua Fixable Viable kit (catalog 423102, BioLegend) for viability, and then blocked with Human TruStan FcX (catalog 422302, BioLegend). Surface-staining antibodies were directly added and incubated for 45 minutes at 37°C. Cells were then fixed, permeabilized with permeabilization buffer (catalog 554723, BD Biosciences), and stained with intracellular staining antibody cocktails for 45 minutes at 4°C. Cells were washed with permeabilization buffer (Invitrogen) and events were acquired by BD FACSymphony A5. Antibodies utilized are listed under Flow cytometry. Activated CD4+ T cells were defined by dual expression of CD137 and OX40, and activated CD8+ T cells were identified by dual expression of CD137 and CD69. All data from these assays were background subtracted using paired DMSO control samples. Spike peptides were provided from the La Jolla Institute for Immunology. The demographic data for the patients who donated samples for these assays are shown in Supplemental Figure 1 and Supplemental Table 1.

Workflow of high-plex immune-serology assay. We adopted a newly developed, high-plex immune-serology assay to measure circulating proteins and strain-specific anti–SARS-CoV-2 IgG binding antibodies (30). In brief, a pair of polydimethylsiloxane (PDMS) microfluidic devices were introduced on the same poly-L-lysine–coated slide (PLL slide) prepared by conventional soft lithography process. The first PDMS device had 5-turn serpentine patterns, and perpendicularly aligned microfluidic channels in the second PDMS device can allow obtaining 5 replicates in a single assay. Capture antibodies and each recombinant SARS-CoV-2 antigen were introduced in each inlet. For the signal detections, a mixture of biotinylated detection antibodies and PE-conjugated anti–human IgG antibody (catalog ab7006, Abcam) was loaded onto the barcoded array chip for 45 minutes at room temperature. Afterward, APC-conjugated streptavidin (catalog 17-4317-82, Thermo Fisher Scientific) and BSA solution were applied at room temperature sequentially. Fluorescence images were obtained using a Genepix 4200A scanner (Molecular Devices). The mean photon counts were evaluated from intersection of columns and rows by aligning a 20 × 20 μm2 square array template in Genepix Pro 6.1 software (Molecular Devices). Only values higher than the threshold from more than 3 out of 5 replicates were collected by log2 normalization after subtracting the background threshold. Afterward, intensity values were converted to concentration using the titration curve.

Statistics. Descriptive statistics were summarized as frequencies and percentage, means and SD, or medians and IQR if not normally distributed. For categorical variables, differences between patients receiving B cell depletion therapy and controls were evaluated using χ2 test or Fisher’s exact test as appropriate. Independent-sample 2-tailed t test was used to compare the continuous variables by group. When comparing the post-V3 and pre-V3 changes within the same participant, Wilcoxon’s signed-rank test was used. Spearman’s correlation analysis was performed to examine the relationship between the humoral immune responses (anti-spike+ B cells or anti-spike antibody titers) and the percentage of CD19+ B cells among patients and controls. Multivariate logistic regression models were built to predict the likelihood of having anti-spike antibody increase or spike-specific CD8+ T cells increase after V3 among patients with B cell depletion therapy. Due to the small sample size, 5 predictors were chosen based on descriptive analyses and literature: age, sex, BMI, time from last anti-CD20 antibody infusion to V3 immunization, and number of prior cycles of anti-CD20 antibody infusion. All statistical analyses were performed using R, SAS 9.4, or Prism 9 (GraphPad Software). A P value of less than 0.05 was considered significant unless otherwise stated. Detailed information about statistical analysis, including tests and values used, is provided in the figure legends.

Study approval. This study was approved by the Institutional Review Board at the Yale School of Medicine. Written informed consent was obtained from all enrolled patients and healthy donors.

Data availability. The data reported in this paper are provided in Supporting Data Values. Additional data are available from the corresponding authors upon request.

Author contributions

The experiments were conceptualized by HA, DAH, MMT, and EEL. HA, DK, RL, MKR, JEW, and TSG performed the experiments and analyzed data. NL, NCBP, IC, KR, and WER organized the samples and clinical information. AG, DW, and AS prepared for peptides for experiments. KW and FL did the statistical analyses. HA, MMT, and EEL wrote the original draft. SHK, RRM, ACS, RF, DAH, MMT, and EEL supervised the experiments. All the authors reviewed the manuscript.

Supplemental material

View Supplemental data

View ICMJE disclosure forms

View Supplemental table 1

View Supporting data values

Acknowledgments

We would like to thank all the hospital staff who helped care for the patients and obtain samples. We also thank L. Devine and T. Diane for assistance with flow cytometry. EEL, MMT, DAH, RF, ACS, RRM, and SHK thank the HIPC Consortium for valuable input. This study was supported by grants from the NIH HIPC Consortium to DAH, SHK, RRM, and ACS (U19 AI089992) and to DAH (R25 NS079193, P01 AI073748, U24 AI11867, R01 AI22220, UM 1HG009390, P01 AI039671, P50 CA121974, and R01 CA227473); the National Multiple Sclerosis Society (CA 1061-A-18 and RG-1802-30153), the Nancy Taylor Foundation for Chronic Diseases, and Erase MS (to DAH); NIH grants U01CA260507 (to RF), 75N93019C00065 (to DW and AS), and K24 AG042489 (to ACS); and the Claude D. Pepper Older Americans Independence Center at Yale (P30 AG21342).

Address correspondence to: Erin E. Longbrake, Department of Neurology, Yale School of Medicine, 300 George St., 3rd floor, New Haven, Connecticut, 06511, USA. Phone: 203.287.6100; Email; erin.longbrake@yale.edu. Or to: Mary M. Tomayko, Departments of Dermatology and Pathology, Yale School of Medicine, 15 York St., New Haven, Connecticut 06510, USA. Phone: 203.737.6124, Email; mary.tomayko@yale.edu.

Footnotes

Conflict of interest: DAH has received research funding from Bristol Myers Squibb, Novartis, Sanofi, and Genentech. He has been a consultant for Bayer Pharmaceuticals, Bristol Myers Squibb, Compass Therapeutics, EMD Serono, Genentech, Juno therapeutics, Novartis Pharmaceuticals, Proclara Biosciences, Sage Therapeutics, and Sanofi Genzyme. Further information regarding funding is available at https://openpaymentsdata.cms.gov/physician/166753/general-payments. RF is a cofounder and scientific advisor of IsoPlexis, Singleron Biotechnologies, and AtlasXomics with financial interest. SHK receives consulting fees from Peraton. AS is a consultant for Gritstone Bio, Flow Pharma, Moderna, AstraZeneca, Qiagen, Avalia, Fortress, Gilead, Sanofi, Merck, RiverVest, MedaCorp, Turnstone, NA Vaccine Institute, Gerson Lehrman Group, and Guggenheim. LJI has filed for patent protection for various aspects of T cell epitope and vaccine design work. WER is an employee of Repertoire Immune Medicines. EEL has received research funding from the Robert Leet and Clara Guthrie Patterson Trust, Genentech and Biogen. She has been a consultant for EMD Serono, Bristol Myers Squibb, Genentech, Genzyme, NGM Bio, TG Therapeutics, and Janssen. MKR, JEW, and TSG are employees of Quest Diagnostics. ACS has received research funding from Boehringer-Ingelheim.

Copyright: © 2023, Asashima et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.

References
  1. Pushparajah D, et al. Advances in gene-based vaccine platforms to address the COVID-19 pandemic. Adv Drug Deliv Rev. 2021;17:113–141.
    View this article via: CrossRef PubMed Google Scholar
  2. Doria-Rose N, et al. Antibody persistence through 6 months after the second dose of mRNA-1273 vaccine for Covid-19. N Engl J Med. 2021;384(23): 2259–2261.
    View this article via: CrossRef PubMed Google Scholar
  3. Krammer F, et al. Antibody responses in seropositive persons after a single dose of SARS-CoV-2 mRNA vaccine. N Engl J Med. 2021;384(14):1372–1374.
    View this article via: CrossRef PubMed Google Scholar
  4. Zhong D, et al. Durability of antibody levels after vaccination with mRNA SARS-CoV-2 vaccine in individuals with or without prior infection. JAMA. 2021;326(24):2524–2526.
    View this article via: CrossRef PubMed Google Scholar
  5. Khoury DS, et al. Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection. Nat Med. 2021;27(7):1205–1211.
    View this article via: CrossRef PubMed Google Scholar
  6. Thomas SJ, et al. Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine through 6 months. N Engl J Med. 2021;385(19):1761–1773.
    View this article via: CrossRef PubMed Google Scholar
  7. Levin EG, et al. Waning immune humoral response to BNT162b2 Covid-19 vaccine over 6 months. N Engl J Med. 2021;385(24):e84.
    View this article via: CrossRef PubMed Google Scholar
  8. Xia H, et al. Neutralization and durability of 2 or 3 doses of the BNT162b2 vaccine against Omicron SARS-CoV-2. Cell Host Microbe. 2022;30(4):485–488.
    View this article via: CrossRef PubMed Google Scholar
  9. Patalon T, et al. Odds of testing positive for SARS-CoV-2 following receipt of 3 vs 2 doses of the BNT162b2 mRNA vaccine. JAMA Intern Med. 2022;182(2):179–184.
    View this article via: CrossRef PubMed Google Scholar
  10. Madelon N, et al. Omicron-specific cytotoxic T-cell responses after a third dose of mRNA COVID-19 vaccine among patients with multiple sclerosis treated with ocrelizumab. JAMA Neurol. 2022;79(4):399–404.
    View this article via: CrossRef PubMed Google Scholar
  11. Sabatino JJJ, et al. Multiple sclerosis therapies differentially affect SARS-CoV-2 vaccine-induced antibody and T cell immunity and function. JCI Insight. 2022;7(4):e156978.
    View this article via: JCI Insight CrossRef PubMed Google Scholar
  12. Achtnichts L, et al. Humoral immune response after the third SARS-CoV-2 mRNA vaccination in CD20 depleted people with multiple sclerosis. Vaccines (Basel). 2021;9(12):1470.
    View this article via: CrossRef PubMed Google Scholar
  13. Gadani SP, et al. Discordant humoral and T cell immune responses to SARS-CoV-2 vaccination in people with multiple sclerosis on anti-CD20 therapy. EBioMedicine. 2021;73:103636.
    View this article via: CrossRef PubMed Google Scholar
  14. Herishanu Y, et al. Efficacy of a third BNT162b2 mRNA COVID-19 vaccine dose in patients with CLL who failed standard 2-dose vaccination. Blood. 2022;139(5):678–685.
    View this article via: CrossRef PubMed Google Scholar
  15. Apostolidis SA, et al. Altered cellular and humoral immune responses following SARS-CoV-2 mRNA vaccination in patients with multiple sclerosis on anti-CD20 therapy. Nat Med. 2021;27(11):1990–2001.
    View this article via: CrossRef PubMed Google Scholar
  16. Achiron A, et al. Author response to: correspondence to humoral immune response to COVID-19 mRNA vaccine in patients with multiple sclerosis treated with high-efficacy disease-modifying therapies. Ther Adv Neurol Disord. 2021;14:17562864211020082.
    View this article via: CrossRef PubMed Google Scholar
  17. Mrak D, et al. SARS-CoV-2 vaccination in rituximab-treated patients: B cells promote humoral immune responses in the presence of T-cell-mediated immunity. Ann Rheum Dis. 2021;80(10):1345–1350.
    View this article via: CrossRef PubMed Google Scholar
  18. Spiera R, et al. Rituximab, but not other antirheumatic therapies, is associated with impaired serological response to SARS- CoV-2 vaccination in patients with rheumatic diseases. Ann Rheum Dis. 2021;80(10):1357–1359.
    View this article via: CrossRef PubMed Google Scholar
  19. Sun J, et al. Association between immune dysfunction and COVID-19 breakthrough infection after SARS-CoV-2 vaccination in the US. JAMA Intern Med. 2022;182(2):153–162.
    View this article via: CrossRef PubMed Google Scholar
  20. Tartof SY, et al. Effectiveness of a third dose of BNT162b2 mRNA COVID-19 vaccine in a large US health system: a retrospective cohort study. Lancet Reg Health Am. 2022;9:100198.
    View this article via: CrossRef PubMed Google Scholar
  21. Petrelli F, et al. Third dose of SARS-CoV-2 vaccine: a systematic review of 30 published studies. J Med Virol. 2022;94(6):2837–2844.
    View this article via: CrossRef PubMed Google Scholar
  22. Kant S, Geetha D. Impact of rituximab on humoral response to COVID-19 booster vaccine and antibody kinetics in patients with anti-neutrophil cytoplasmic antibody vasculitis. Kidney Int. 2021;100(5):1124–1127.
    View this article via: CrossRef PubMed Google Scholar
  23. Talaat KR, et al. Rapid changes in serum cytokines and chemokines in response to inactivated influenza vaccination. Influenza Other Respir Viruses. 2018;12(2):202–210.
    View this article via: CrossRef PubMed Google Scholar
  24. Simon WL, et al. Cytokine production associated with smallpox vaccine responses. Immunotherapy. 2014;6(10):1097–1112.
    View this article via: CrossRef PubMed Google Scholar
  25. Nakaya HI, et al. Systems biology of vaccination for seasonal influenza in humans. Nat Immunol. 2011;12(8):786–795.
    View this article via: CrossRef PubMed Google Scholar
  26. Sobolev O, et al. Adjuvanted influenza-H1N1 vaccination reveals lymphoid signatures of age-dependent early responses and of clinical adverse events. Nat Immunol. 2016;17(2):204–213.
    View this article via: CrossRef PubMed Google Scholar
  27. Corey L, et al. SARS-CoV-2 variants in patients with immunosuppression. N Engl J Med. 2021;385(6):562–566.
    View this article via: CrossRef PubMed Google Scholar
  28. Choi B, et al. Persistence and evolution of SARS-CoV-2 in an immunocompromised host. N Engl J Med. 2020;383(23):2291–2293.
    View this article via: CrossRef PubMed Google Scholar
  29. Tao K, et al. The biological and clinical significance of emerging SARS-CoV-2 variants. Nat Rev Genet. 2021;22(12):757–773.
    View this article via: CrossRef PubMed Google Scholar
  30. Kim D, et al. Microfluidic immuno-serology assay revealed a limited diversity of protection against COVID-19 in patients with altered immunity [preprint]. https://doi.org/10.1101/2022.08.31.506117 Posted on bioRxiv September 2, 2022.
  31. Sanz I, et al. Challenges and opportunities for consistent classification of human B cell and plasma cell populations. Front Immunol. 2019;10:2458.
    View this article via: CrossRef PubMed Google Scholar
  32. König M, et al. Humoral immunity to SARS-CoV-2 mRNA vaccination in multiple sclerosis: the relevance of time since last rituximab infusion and first experience from sporadic revaccinations. J Neurol Neurosurg Psychiatry. 2023;94(1):19–22.
    View this article via: CrossRef PubMed Google Scholar
  33. Sormani MP, et al. Effect of SARS-CoV-2 mRNA vaccination in MS patients treated with disease modifying therapies. EBioMedicine. 2021;72:103581.
    View this article via: CrossRef PubMed Google Scholar
  34. Asplund Högelin K, et al. B-cell repopulation dynamics and drug pharmacokinetics impact SARS-CoV-2 vaccine efficacy in anti-CD20-treated multiple sclerosis patients. Eur J Neurol. 2022;29(11):3317–3328.
    View this article via: CrossRef PubMed Google Scholar
  35. Tolf A, et al. Factors associated with serological response to SARS-CoV-2 vaccination in patients with multiple sclerosis treated with rituximab. JAMA Netw Open. 2022;5(5):e2211497.
    View this article via: CrossRef PubMed Google Scholar
  36. Tanguay M, et al. B-cell cytopenia and time to last B-cell-depleting therapy predict response to SARS-COV-2 vaccines in patients with lymphoproliferative disorders. Vaccine. 2022;40(9):1203–1207.
    View this article via: CrossRef PubMed Google Scholar
  37. Cao P, et al. Rituximab, omalizumab, and dupilumab treatment outcomes in bullous pemphigoid: a systematic review. Front Immunol. 2022;13:928621.
    View this article via: CrossRef PubMed Google Scholar
  38. Brancati S, et al. Rituximab in multiple sclerosis: are we ready for regulatory approval? Front Immunol. 2021;12:661882.
    View this article via: CrossRef PubMed Google Scholar
  39. Chan EYH, et al. Long-term efficacy and safety of repeated rituximab to maintain remission in idiopathic childhood nephrotic syndrome: an international study. J Am Soc Nephrol. 2022;33(6):1193–1207.
    View this article via: CrossRef PubMed Google Scholar
  40. Ghielmini M, et al. Single agent rituximab in patients with follicular or mantle cell lymphoma: clinical and biological factors that are predictive of response and event-free survival as well as the effect of rituximab on the immune system: a study of the Swiss Group for Clinival Cancer Research (SAKK). Ann Oncol. 2005;16(10):1675–1682.
    View this article via: CrossRef PubMed Google Scholar
  41. De La Torre I, et al. Total serum immunoglobulin levels in patients with RA after multiple B-cell depletion cycles based on rituximab: relationship with B-cell kinetics. Rheumatology. 2012;51(5):833–840.
    View this article via: CrossRef PubMed Google Scholar
  42. Kavanaugh A, et al. Assessment of rituximab’s immunomodulatory synovial effects (ARISE trial). 1: clinical and synovial biomarker results. Ann Rheum Dis. 2008;67(3):402–408.
    View this article via: CrossRef PubMed Google Scholar
  43. Gong Q, et al. Importance of cellular microenvironment and circulatory dynamics in B cell immunotherapy. J Immunol. 2005;174(2):817–826.
    View this article via: CrossRef PubMed Google Scholar
  44. Martin M del P, et al. Depletion of B lymphocytes from cerebral perivascular spaces by rituximab. Arch Neurol. 2009;66(8):1016–1020.
    View this article via: CrossRef PubMed Google Scholar
  45. Jyssum I, et al. Humoral and cellular immune responses to two and three doses of SARS-CoV-2 vaccines in rituximab-treated patients with rheumatoid arthritis: a prospective, cohort study. Lancet Rheumatol. 2022;4(3):e177–e187.
    View this article via: CrossRef PubMed Google Scholar
  46. Heitz J, et al. T-cell response to 3 doses of Sars-Cov2 BNT162b2 Pfizer vaccine in long term rituximab treated patients. Eur J Intern Med. 2022;99:104–105.
    View this article via: CrossRef PubMed Google Scholar
  47. Painter SD, et al. The weight of obesity on the human immune response to vaccination. Vaccine. 2015;33(36):4422–4429.
    View this article via: CrossRef PubMed Google Scholar
  48. Tagliabue C, et al. Obesity: impact of infections and response to vaccines. Eur J Clin Microbiol Infect Dis. 2016;35(3):325–331.
    View this article via: CrossRef PubMed Google Scholar
  49. Neidich SD, et al. Increased risk of influenza among vaccinated adults who are obese. Int J Obes (Lond). 2017;41(9):1324–1330.
    View this article via: CrossRef PubMed Google Scholar
  50. Paich HA, et al. Overweight and obese adult humans have a defective cellular immune response to pandemic H1N1 influenza A virus. Obesity (Silver Spring). 2013;21(11):2377–2386.
    View this article via: CrossRef PubMed Google Scholar
  51. Sheridan PA, et al. Obesity is associated with impaired immune response to influenza vaccination in humans. Int J Obes (Lond). 2012;36(8):1072–1077.
    View this article via: CrossRef PubMed Google Scholar
  52. Karlsson EA, et al. Diet-induced obesity impairs the T cell memory response to influenza virus infection. J Immunol. 2010;184(6):3127–3133.
    View this article via: CrossRef PubMed Google Scholar
  53. Green WD, et al. Metabolic and functional impairment of CD8+ T cells from the lungs of influenza-infected obese mice. J Leukoc Biol. 2022;111(1):147–159.
    View this article via: CrossRef PubMed Google Scholar
  54. Smith AG, et al. Selective impairment in dendritic cell function and altered antigen-specific CD8+ T-cell responses in diet-induced obese mice infected with influenza virus. Immunology. 2009;126(2):268–279.
    View this article via: CrossRef PubMed Google Scholar
  55. Tarke A, et al. Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases. Cell Rep Med. 2021;2(2):100204.
    View this article via: CrossRef PubMed Google Scholar
  56. Manz XD, et al. Regulation of VWF (Von Willebrand factor) in inflammatory thrombosis. Arterioscler Thromb Vasc Biol. 2022;42(11):1307–1320.
    View this article via: CrossRef PubMed Google Scholar
  57. Ostrowski SR, et al. Inflammation and platelet activation after COVID-19 vaccines - possible mechanisms behind vaccine-induced immune thrombocytopenia and thrombosis. Front Immunol. 2021;12:779453.
    View this article via: CrossRef PubMed Google Scholar
  58. Arunachalam PS, et al. Systems vaccinology of the BNT162b2 mRNA vaccine in humans. Nature. 2021;596(7872):410–416.
    View this article via: CrossRef PubMed Google Scholar
  59. Ozbay Kurt FG, et al. Booster dose of mRNA vaccine augments waning T cell and antibody responses against SARS-CoV-2. Front Immunol. 2022;13:1023516.
    View this article via: CrossRef PubMed Google Scholar
  60. Faas MR, et al. Dynamics of antibody and T cell immunity against SARS-CoV-2 variants of concern and the impact of booster vaccinations in previously infected and infection-naïve individuals. Vaccines (Basel). 2022;10(12):2132.
    View this article via: CrossRef PubMed Google Scholar
Version history
  • Version 1 (August 22, 2023): Electronic publication
  • Version 2 (September 1, 2023): Funding information was added

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Share this article
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Introduction
  • Results
  • Discussion
  • Methods
  • Author contributions
  • Supplemental material
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts