Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 17;10(1):98.
doi: 10.1038/s41541-025-01151-8.

Durable T cell immunity to COVID-19 vaccines in MS patients on B cell depletion therapy

Affiliations

Durable T cell immunity to COVID-19 vaccines in MS patients on B cell depletion therapy

Julia Davis-Porada et al. NPJ Vaccines. .

Abstract

Immune-mediated protection generated to COVID-19 mRNA vaccines is associated with anti-Spike (S) protein neutralizing antibodies. However, humoral immunity is compromised in B cell depleting (BCD) therapies, used to treat autoimmune diseases such as Multiple Sclerosis (MS). To study the effect of BCD on the durability and protective efficacy of vaccine-induced immunity, we evaluated S-reactive antibodies and T cell responses 1-70 weeks post-vaccination in MS cohorts treated with BCD compared to non-BCD therapies from four centers. BCD-treated participants had significantly reduced antibody levels and enhanced frequencies of S-reactive CD4+ and CD8+ memory T cells to COVID-19 vaccination compared to the non-BCD group, with some variations among different BCD formulations. T cell memory responses persisted up to 14 months post-vaccination in both BCD and non-BCD cohorts, who experienced similar clinical protection from COVID-19. Together, our results establish a critical role for T cell-mediated immunity in anti-viral protection independent of humoral immunity.

PubMed Disclaimer

Conflict of interest statement

Competing interests: A.B.-O. receives research funding NIH, The National MS Society (NMSS), the Juvenile Diabetes Research Foundation (JDRF), the Canadian Institutes of Health Research, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation and Melissa and Paul Anderson Chair in Neuroinflammation, and has received grant support to the University of Pennsylvania from Biogen Idec, Roche/Genentech, Merck/EMD Serono and Novartis; has Received personal fees for advisory board participation and/or consulting from Accure, Atara Biotherapeutics, Biogen, BMS/Celgene/Receptos, GlaxoSmithKline, Gossamer, Janssen/Actelion, Medimmune, Merck/EMD Serono, Novartis, Roche/Genentech, Sanofi-Genzyme. R.B. is the recipient of a National Multiple Sclerosis Harry Weaver Award, and has received research support from the National Multiple Sclerosis Society, the National Institutes of Health and the Department of Defense; has received research support from Biogen, Eli Lilly, Novartis and Roche Genentech; has received personal compensation for consulting from Alexion, Amgen, EMD Serono, Sanofi Genzyme, and TG Therapeutics. D.J. has received personal compensation for advisory boards and consulting for Alexion, Horizon, Roche/Genentech, Biogen, Merck/EMD Serono, TG Therapeutics and has received grant support to the University of Pennsylvania from Biogen Idec, Roche/Genentech, Merck/EMD Serono and Novartis. J.S. has research funding support from Novartis and Roche-Genentech. Z.X. has served as a Consultant for Genentech/Roche, and the institution of Xia has received research support from NIH, the Pittsburgh Foundation and Genentech /Roche. P.D.J. has consulted for Puretech, Biogen, Novo Nordisk and has research sponsored by Roche, Puretech, and Biogen. S.F.W. has consulted for Novartis, TG Therapetuics, Genetech and has received research support from the NIH and investigator-initiated research funding from Biogen and Novartis. R.S.F. has consulted for Alexion, Roche/Genentech, Horizon Therapeutics, and has investigator-initiated research funded by Novartis and Biogen. All other authors declare no financial or non-financial competing interests.

Figures

Fig. 1
Fig. 1. Long-term reduction of humoral responses to COVID-19 vaccines in participants with MS on BCD therapies.
a Schematic of sample collection for participants with MS on non-BCD therapies (black) and BCD therapies (red) after initial two dose vaccine series. Samples were collected 4–483 days following completion of the vaccine series. b CD19+B cells in non-BCD (black) and BCD (red) participants shown in representative flow cytometry plots (left) and graphs of compiled data (right). c Area under the curve (AUC) of IgG specific for S (left) and RBD (right) in non-BCD (black) and BCD (red) participants. d Same as (c) for BCD participants taking various B cell depleting therapies. e Relationship of AUC of IgG specific for SARS-CoV-2 S (left) and RBD (right) with time post-vaccination in days for non-BCD (black) and BCD (red) participants. Inset graphs show results for only BCD participants. Statistics: (bd) Bar plots represent data as mean ± standard deviation. b A t-test was used to compare the frequency of B cells in non-BCD and BCD participants. c, d A one-way analysis of covariance (ANCOVA) was used to evaluate the difference in antibody titers between cohorts after controlling for age, sex, vaccine type, and time-post vaccination. e Both Pearson’s correlation and a linear model was used to investigate the relationship between antibody titers and time-post vaccination controlling for age, sex, and vaccine type. ****p < 0.0001, *p < 0.05 Abbreviations: BCD (B cell depleting/depleted), non-BCD (non-B cell depleting/depleted), S (Spike protein), RBD (receptor binding domain).
Fig. 2
Fig. 2. Enhancement of the T cell response to COVID-19 vaccines in BCD participants with MS.
S-reactive T cells were identified following stimulation with S peptide pools using the activation-induced marker (AIM) assay (see methods). Representative flow cytometry plots of CD4+ (a) and CD8+ (b) T cells (see gating strategy Supplementary Fig. 1a) expressing activation markers after control DMSO stimulation (top) or S peptide stimulation (bottom) in non-BCD (left) or BCD (right) participants. S-reactive CD4+ (c) and CD8+ (d) T cells in non-BCD (black) vs BCD (red) participants (left) and BCD participants taking OCR (dark red), RTX (red), and OFA (pink) (right) shown as a percentage of non-naïve T cells in each site. e S-reactive CD4+T cells over time post-vaccination for non-BCD (black, left) and BCD (red, right) participants. f Same as (e) for CD8+T cells. Statistics: (cd) Bar plots represent data as mean ± standard deviation and a one-way analysis of covariance (ANCOVA) was used to evaluate the difference in quantities of S-reactive T cells between cohorts after controlling for age, sex, vaccine type, and time-post vaccination. ef A linear model was used to investigate the relationship between S-reactive T cell frequency and time post-vaccination controlling for age, sex, and vaccine-type. **p < 0.01, *p < 0.05, ns p ≥ 0.05 Abbreviations: BCD (B cell depleting/depleted), non-BCD (non B cell depleting/depleted), OCR (Ocrelizumab), RTX (Rituximab), OFA (Ofatumumab), S (Spike protein).
Fig. 3
Fig. 3. Variations in S-reactive T cell phenotypes in BCD participants with MS.
a T cell subset phenotypes of S-reactive CD4+T cells shown in representative flow cytometry plots of total CD4+T cells (black contour) and S-reactive T cells (red dots) from non-BCD (left) or BCD (right) participants (b) or stacked bar plots of averaged data across all non-BCD (black) and BCD (red) participants. cd Same as (A-B) for CD8+T cells. e Representative flow cytometry plots of total CD4+T cells (black contour) and S-reactive CD4+T cells (red dots) expressing TFH markers PD-1 and CXCR5 in non-BCD (left) and BCD (right) participants (right) and compiled expression of S-specific TFH shown as percentage of PD-1 and CXCR5 expressing S-reactive CD4+T cells. Bar plots represent data as mean ± standard deviation. f Relationship of quantity of S-reactive TFH with time post-vaccination in days for non-BCD (black, left) and BCD (red, right) participants. Statistics: (b,d,e) A one-way analysis of covariance (ANCOVA) was used to evaluate the difference in proportions of S-reactive T cell phenotypes between cohorts after controlling for age, sex, vaccine type, and time-post vaccination. f A linear model was used to investigate the relationship between S-reactive TFH and time post-vaccination controlling for age, sex, and vaccine type. *p < 0.05, ns p ≥ 0.05 Abbreviations: S (Spike protein), BCD (B cell depleting/depleted), non-BCD (non B cell depleting/depleted), TCM (central memory T cells), TEMRA (terminally differentiated effector memory T cells), TEM (effector memory T cells), TFH (T follicular helper cells).
Fig. 4
Fig. 4. Role of dose and specific BCD drug in participants with MS from four academic centers.
Quantification of the humoral and cellular response following two or three doses of COVID-19 vaccines in participants with MS compiled from four academic centers (see methods). ab Quantity of anti-Spike and anti-RBD antibodies were normalized as a percent of the maximum of anti-Spike or anti-RBD antibody titer within each test method (see “methods”). a Normalized anti-Spike value is shown for non-BCD (black) and BCD (red) participants who have received two (closed circle) or three (open circle) doses of a COVID-19 vaccine (left) or BCD participants taking OCR, RTX, or OFA after two doses of the COVID-19 vaccine (right). b Same as (a) for anti-RBD antibodies. c Fraction of S-specific CD4+T cells shown for non-BCD (black) and BCD (red) participants who have received two (closed circle) or three (open circle) doses of a COVID-19 vaccine (left) or BCD participants taking OCR, RTX, or OFA after two doses of the COVID-19 vaccine (right). d Same as (c) for CD8+ T cells. Statistics: (ad) Bar plots represent data as mean ± standard deviation and a one-way analysis of covariance (ANCOVA) was used to evaluate the difference in quantities of vaccine-induced immunity between cohorts after controlling for age, sex, vaccine type, and time-post vaccination. ****p < 0.0001, *** p < 0.001, ** p < 0.01, *p < 0.05 Abbreviations: BCD (B cell depleting/depleted), non-BCD (non B cell depleting/depleted), OCR (Ocrelizumab), RTX (Rituximab), OFA (Ofatumumab), S (Spike protein).

Similar articles

References

    1. Plotkin, S. A. Correlates of protection induced by vaccination. Clin. Vaccin. Immunol.17, 1055–1065 (2010). - PMC - PubMed
    1. Plotkin, S. A. Recent updates on correlates of vaccine-induced protection. Front. Immunol.13, 1081107 (2022). - PMC - PubMed
    1. Gilbert, P. B. et al. A covid-19 milestone attained—a correlate of protection for vaccines. N. Engl. J. Med.387, 2203–2206 (2022). - PubMed
    1. Goldblatt, D., Alter, G., Crotty, S. & Plotkin, S. A. Correlates of protection against SARS-CoV-2 infection and COVID-19 disease. Immunol. Rev.310, 6–26 (2022). - PMC - PubMed
    1. Goldberg, Y. et al. Waning Immunity after the BNT162b2 Vaccine in Israel. N. Engl. J. Med.385, e85 (2021). - PMC - PubMed

LinkOut - more resources