BACKGROUND Anti-TNF biologics are widely used to treat patients with immune-mediated inflammatory diseases. In mouse models, the complete absence of TNF impairs germinal center (GC) responses. Less is known about the impact of anti-TNF therapy on specific immune responses in humans. Widespread vaccination against SARS-CoV-2 offered an unprecedented opportunity to investigate the effects of biological therapies on responses to specific immunization. Previous work demonstrated that patients with inflammatory bowel disease (IBD) who were treated with anti-TNF biologics exhibited decreased Spike-specific antibody responses compared with patients with IBD treated with anti-IL-12/23 or healthy controls, even after 4 doses of mRNA vaccine.METHODS Here we analyzed humoral responses to SARS-CoV-2 immunization using single-cell RNA-Sequencing and flow cytometry of Spike-specific memory B cells (MBC), as well as avidity measurements of plasma antibodies from patients with IBD treated with anti-TNF or anti-IL-12/23 and from people in the healthy control group.RESULTS We observed decreased somatic hypermutation in the B cell receptors of Spike-specific MBCs and decreased antigen-specific MBC accumulation following SARS-CoV-2 mRNA vaccination in patients with IBD treated with anti-TNF, compared with patients with IBD treated with anti-IL-12/23 or people in the healthy control group. This decreased somatic hypermutation in Spike-specific MBCs in patients treated with anti-TNF correlated with decreased and delayed antibody affinity maturation and reduced neutralization activity.CONCLUSION These data provide in vivo evidence that anti-TNF, but not anti-IL-12/23, therapy impairs the quantity and quality of antigen-specific GC outputs in humans.FUNDING Juan and Stefania Speck (donation) and by Canadian Institutes of Health Research (CIHR)/COVID-Immunity Task Force (CITF) grants VR-1 172711, VS1-175545, GA2-177716, GA1-177703 and CIHR FDN 143301 &143350.
Michelle W. Cheung, Samantha Xu, Janna R. Shapiro, Freda Qi, Melanie Delgado-Brand, Karen Colwill, Roya M. Dayam, Ying Liu, Jenny D. Lee, Joanne M. Stempak, James M. Rini, Vinod Chandran, Mark S. Silverberg, Anne-Claude Gingras, Tania H. Watts
Usage data is cumulative from July 2025 through June 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 3,608 | 149 |
| 1,100 | 38 | |
| Figure | 666 | 0 |
| Table | 69 | 0 |
| Supplemental data | 358 | 18 |
| Citation downloads | 169 | 0 |
| Totals | 5,970 | 205 |
| Total Views | 6,175 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.