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Polyfunctional T follicular helper cells drive checkpoint-inhibitor diabetes and are targeted by JAK inhibitor therapy
Nicole L. Huang, … , Maureen A. Su, Melissa G. Lechner
Nicole L. Huang, … , Maureen A. Su, Melissa G. Lechner
Published July 8, 2025
Citation Information: JCI Insight. 2025;10(13):e188843. https://doi.org/10.1172/jci.insight.188843.
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Research Article Oncology

Polyfunctional T follicular helper cells drive checkpoint-inhibitor diabetes and are targeted by JAK inhibitor therapy

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Abstract

Immune checkpoint inhibitors (ICI) have revolutionized cancer therapy, but their use is limited by the development of autoimmunity in healthy tissues as a side effect of treatment. Such immune-related adverse events (IrAE) contribute to hospitalizations, cancer treatment interruption, and even premature death. ICI-induced autoimmune diabetes mellitus (ICI-T1DM) is a life-threatening IrAE that presents with rapid pancreatic β-islet cell destruction leading to hyperglycemia and life-long insulin dependence. While prior reports have focused on CD8+ T cells, the role for CD4+ T cells in ICI-T1DM is less understood. We identify expansion of CD4+ T follicular helper (Tfh) cells expressing IL-21 and IFN-γ as a hallmark of ICI-T1DM. Furthermore, we show that both IL-21 and IFN-γ are critical cytokines for autoimmune attack in ICI-T1DM. Because IL-21 and IFN-γ both signal through JAK/STAT pathways, we reasoned that JAK inhibitors (JAKi) may protect against ICI-T1DM. Indeed, JAKi provide robust in vivo protection against ICI-T1DM in a mouse model that is associated with decreased islet-infiltrating Tfh cells. Moreover, JAKi therapy impaired Tfh cell differentiation in patients with ICI-T1DM. These studies highlight CD4+ Tfh cells as underrecognized but critical mediators of ICI-T1DM that may be targeted with JAKi to prevent this grave IrAE.

Authors

Nicole L. Huang, Jessica G. Ortega, Kyleigh Kimbrell, Joah Lee, Lauren N. Scott, Esther M. Peluso, Sarah J. Wang, Ellie Y. Kao, Kristy Kim, Jarod Olay, Jaden N. Nguyen, Zoe Quandt, Trevor E. Angell, Maureen A. Su, Melissa G. Lechner

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Figure 1

Increased CD4+ Tfh cell response in individuals with ICI-T1DM and a mouse model of IrAEs.

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Increased CD4+ Tfh cell response in individuals with ICI-T1DM and a mous...
(A) Representative flow cytometry of PBMC from ICI-treated patients at baseline and after ex vivo culture under Tfh-skewing conditions (23). (B) Fold change in Tfh cell frequency for individuals with ICI-T1DM versus ICI-treated individuals with no irAEs. Each pair represents 1 individual. (C) DM incidence in NOD mice treated with anti–PD-1 (8 males [M]/8 females [F]) or isotype (Iso) (6M/7F). (D) DM incidence in anti–PD-1 treated NOD mice with a depleting anti-CD4 antibody (5M/5F) or isotype (Mock) (2M/2F). (E) Representative flow cytometry for islet-infiltrating Tfh cells. (F) Quantification of Tfh cells (CD4+ICOS+PD-1hiCXCR5+) within islets of anti–PD-1–treated (n = 16) versus Iso-treated (n = 8) mice. (G) Quantification of Bcl6+Tbet– and Bcl6+Tbet+ subsets within CD4+ICOS+PD-1hiCXCR5+ cells in the islets of anti–PD-1–treated (n = 6) versus Iso-treated (n = 5) mice. (H) Representative flow cytometry and quantification of islet-infiltrating IL-21– and IFN-γ–producing Tfh cells in Iso-treated (n = 7) and anti–PD-1–treated (n = 13) mice. (I) Quantification of IL-21+IFN-γ– and IL-21+IFN-γ+ subsets within CD4+ ICOS+PD-1hiCXCR5+ cells in the islets of anti–PD-1–treated (n = 19) versus Iso-treated (n = 8–9) mice. (J) Quantification of BDC2.5-mimotope tetramer+ Tfh cells within the islets of Iso-treated (n = 6) versus anti–PD-1–treated (n = 5) mice. (K) Comparison of islet-infiltrating IL-21+IFN-γ+tetramer+CD4+ Tfh cells between anti–PD-1–treated (n = 4) and Iso-treated (n = 5) mice. Each point represents data from 1 animal, and data are presented as mean ± SD. Comparisons by 2-way ANOVA for paired samples with subsequent pairwise comparisons (B), log-rank test (C and D), Welch’s t test (G), Brown-Forsythe and Welch ANOVA (I), or Mann-Whitney U test (F, J, and K); *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001.

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