The IFIH1-A946T risk variant promotes diabetes in a sex-dependent manner

Type 1 diabetes (T1D) is an autoimmune disease in which pancreatic islet β-cells are attacked by the immune system, resulting in insulin deficiency and hyperglycemia. One of the top non-synonymous single-nucleotide polymorphisms (SNP) associated with T1D is in the interferon-induced helicase C domain-containing protein 1 (IFIH1), which encodes an anti-viral cytosolic RNA sensor. This SNP results in an alanine to threonine substitution at amino acid 946 (IFIH1^A946T) and confers an increased risk for several autoimmune diseases, including T1D. We hypothesized that the IFIH1^A946T risk variant, (IFIH1^R) would promote T1D pathogenesis by stimulating type I interferon (IFN I) signaling leading to immune cell alterations. To test this, we developed Ifih1^R knock-in mice on the non-obese diabetic (NOD) mouse background, a spontaneous T1D model. Our results revealed a modest increase in diabetes incidence and insulitis in Ifih1^R compared to non-risk Ifih1 (Ifih1^NR) mice and a significant acceleration of diabetes onset in Ifih1^R females. Ifih1^R mice exhibited a significantly enhanced interferon stimulated gene (ISG) signature compared to Ifih1^NR, indicative of increased IFN I signaling. Ifih1^R mice exhibited an increased frequency of plasma cells as well as tissue-dependent changes in the frequency and activation of CD8⁺ T cells. Our results indicate that IFIH1^R may contribute to T1D pathogenesis by altering the frequency and activation of immune cells. These findings advance our knowledge on the connection between the rs1990760 variant and T1D. Further, these data are the first to demonstrate effects of Ifih1^R in NOD mice, which will be important to consider for the development of therapeutics for T1D.

1 Introduction

Type 1 diabetes (T1D) is an autoimmune disease, where the pancreatic β-cells are attacked by the immune system, leading to insulin deficiency (1). Immune dysregulation is a hallmark of T1D. It is well known that cytotoxic CD8⁺ T cells implement β-cell destruction (2), but various other immune cells can drive β-cell targeted autoreactivity. Specifically, B cells have been shown to contribute to T1D pathogenesis by various mechanisms including antigen presentation, T cell co-stimulation, production of islet-reactive autoantibodies, and proinflammatory cytokines (3). Notably, children who develop T1D at a young age (<7 yo) show increased accumulation of CD20⁺ cells in islets and rapid β-cell loss compared to individuals developing T1D in their teen years (4, 5). These data suggest that B cells play a particularly pathogenic role in early onset T1D. Further, type I interferon (IFN I) has been shown to contribute to immune dysregulation. A surplus of IFN I has been associated with T1D and an IFN I signature is displayed in PBMCs from T1D patients prior to disease onset (6, 7). As IFN I is part of the anti-viral response, it is interesting that enterovirus infections, including coxsackievirus B (CVB), are associated with T1D (8), and CVB has been found to confer an increased risk for T1D (9). Importantly, the mechanisms linking viral infections and anti-viral immunity with diabetes and how these factors interact with genetic risk factors for diabetes remain unclear.

One gene that has been linked to T1D and is critical for anti-viral immunity is the cytosolic viral RNA sensor, interferon-induced helicase C domain-containing protein 1 (IFIH1), also known as MDA5 (10, 11). Upon recognition of dsRNA ligands, IFIH1 activates a signaling cascade leading to the transcription of pro-inflammatory cytokines, anti-viral genes, and IFN I (12, 13). A number of studies have demonstrated a link between IFIH1 and T1D pathogenesis (14–16). Decreased expression of IFIH1 was found to significantly decrease diabetes incidence (17) in NOD/ShiLtJ (NOD) mice, a spontaneous mouse model for T1D (18). NOD mice with an in-frame deletion in the Ifih1 helicase domain exhibited decreased insulitis, IFN I production, and delayed onset of T1D (19). In contrast, the complete absence of Ifih1 (KO) accelerated T1D in male mice, which was postulated to occur due to an inability of Ifih1 KO mice to produce sufficient myeloid-derived suppressor cells (19).

Further supporting the significance of IFIH1 in diabetes pathogenesis, a variant of IFIH1, rs1990760 was revealed as one of the top non-synonymous single-nucleotide polymorphisms (SNPs) associated with T1D (14). This variant results in an alanine to a threonine substitution at amino acid 946 (IFIH1^A946T; IFIH1^R), has been identified as a T1D susceptibility allele (14, 20), and is associated with an increased risk for multiple other autoimmune diseases. Consistent with the notion that elevated expression and/or activity of IFIH1 may drive diabetes progression, our previous work demonstrated the Ifih1^A946T risk variant (Ifih1^R) behaved as a gain-of-function variant, which elevated basal expression and poly(I:C)-induced levels of IFN I (21). In addition, Ifih1^R accelerated streptozocin-induced diabetes incidence in mice expressing a diabetes risk variant of Ptpn22 on a c57BL/6J background, supporting rs1990760 as a causal allele in T1D (21). Altogether, these findings highlight functional roles of IFIH1 in T1D pathogenesis. A recent study suggests that IFIH1 plays a role in immune cell compartments during T1D pathogenesis, particularly in the macrophages and T cells (19). However, how IFIH1^R may alter the immune system contributing to T1D pathogenesis remains unresolved. In this study, we aimed to decipher the mechanisms by which Ifih1^R drives disease in vivo. To investigate the role of IFIH1^R in diabetes pathogenesis, the risk variant rs1990760 was generated on the NOD background. Findings from the present study reveal a presence of an ISG signature and immune cell activation in NOD mice expressing Ifih1^R. Further, an acceleration in disease in female NOD mice expressing Ifih1^R was also observed. Collectively, our findings identify potential mechanisms by which Ifih1^R contributes to diabetes pathogenesis in vivo and demonstrate how the Ifih1^R NOD model provides an opportunity to investigate the connection between the human risk variant, rs1990760 and T1D.

2 Materials and methods

2.1 Ethics statement

Procedures and experiments performed on all mice followed the Institutional Animal Care & Use Committee guidelines of the Oklahoma Medical Research Foundation and Seattle Children’s Research Institute.

2.2 Animals

To generate the Ifih1^R allele on the NOD background, a NOD embryonic stem (ES) cell line was first derived from the inner cell mass (ICM) of naturally mated NOD/ShiLtJ (Jackson Laboratory, Bar Harbor, ME, Stock No 001976) animals. Blastocysts were plated onto mitomycin C-inactivated CD1 (Charles River Laboratories, Hollister, CA) mouse embryonic fibroblasts (MEFs). After the blastocysts hatched, outgrowths were picked, lightly mechanically disaggregated and transferred to feederless collagen-coated plates (22), but maintained in 3i culture medium (23). A plasmid construct designed to generate a A946T mutation in exon 15 of Ifih1 by homologous recombination and loxP sites for potential lineage-specific deletion in NOD mice was generated by Biocytogen (21). The loxP sites were not used for lineage-specific deletion in this study. One sub-confluent 12-well dish of low passage feederless NOD embryonic stem (ES) cells was transfected with 250ng of each of 2 pX330 constructs (containing Cas9 and 1 sgRNA) and 500 ng of the plasmid template with FuGene HD transfection reagent (Promega Corporation, Madison, WI) in the recommended conditions. After 24h, the cells were replated with medium containing 800µg/mL G418. Surviving colonies were picked on days 7–8. Individual colonies were dissociated with trypsin and re-seeded onto collagen-coated 48-well plates containing 3i media with G418. After a clone became confluent, it was trypsinized and 10% of the cells were replated onto a 24 well plate. The remaining 90% of cells were submitted for gDNA screening by PCR to confirm correct integration. Approximately 10-14 cells from successfully targeted clones were injected into c57BL/6J blastocysts, which were then transferred into the uteri of pseudopregnant CD-1 females. Microinjections were performed under an inverted microscope (Olympus IX71) equipped with Eppendorf micromanipulators. The procedure was carried out at room temperature in DME/High Glucose medium (HyClone Laboratories, Logan, UT). After microinjection, embryos were immediately transferred into pseudopregnant CD-1 females or cultured in BMOC medium (Thermo Fisher Scientific, Waltham, MA) at 37.5°C in 5% CO2 in air overnight and transferred the next day. Three male chimeric founder mice (F0) were recovered and bred to NOD females, of which one exhibited transmission to the next generation (F1) based on genotyping. Animals were housed and maintained under a 14:10-h (light-dark) cycle. Mice heterozygous for the Ifih1 risk allele (Ifih1^NR/R) were transferred to the Oklahoma Medical Foundation (OMRF) and bred together to establish the mouse colony at OMRF. The sequence of Ifih1^R and Ifih1^NR in the NOD mice were confirmed using purified tail DNA from 4 different mice (2 Ifih1^R and 2 Ifih1^NR mice) and amplifying an 816 base pair region of the Ifih1 gene using the A946 F1 and A946 R1 primers (Supplementary Table 1). The PCR product was purified using the Zymo Research Genomic DNA Clean & Concentrator kit and sequenced using the A946 R2 primer (Supplementary Table 1). Sequence analysis was performed using DNASTAR Lasergene17 software.

2.3 Diabetes incidence

Blood glucose was measured from the lateral saphenous veins of mice every two weeks using the Contour NEXT EZ Blood Glucose Monitoring System (Ascencia) from 10 to 32 weeks of age. Mice with two consecutive readings of ≥ 250mg/dL were considered diabetic. Mice were euthanized if they had a reading ≥500mg/dL.

2.4 Flow cytometry

The spleen and non-draining lymph nodes (mesenteric, axillary, and inguinal) were harvested from NOD Ifih1^R/R and Ifih1^NR/NR mice. Spleens and non-draining lymph nodes were digested in 3 mL of 1.6 mg/mL collagenase Type IV (Worthington Biochemical), 0.1 mg/mL DNase I (Thomas Scientific) and complete cell culture medium (RPMI supplemented with 10% fetal bovine serum (FBS), sodium pyruvate, Glutamax, non-essential amino acids, and 2-mercaptoethanol) at 37°C in a Jitterbug Microplate Shaker (Boekel Scientific). After 30 minutes (min, for the spleen) and 15 min (for the pooled lymph nodes), cell dissociation buffer (Gibco) was added, and tissues were incubated for an additional 5 min. Tissues were mashed through a 40μm nylon cell strainer to obtain a single-cell suspension. Splenocytes were treated with lysing Buffer (BD Biosciences) for 2 min, and then washed twice with cell culture media. Lymph node cells were washed once. Pancreas tissue was minced with a blade and digested in 1mg/mL of collagenase D or collagenase P (Millipore Sigma, Rockville, MD) and 0.1mg/mL of DNAse (Millipore Sigma) for 40 min with shaking at 37°C. Following digestion, tissues were placed on ice for 10 min and then filtered through 100μm nylon mesh. Following, tissues were washed with FACS buffer (DMEM with 5% FBS and 10mM HEPES, Gibco) treated with 1mL of lysing buffer for 3 min and washed again with FACS buffer. Pancreatic draining lymph nodes were directly mashed through a 40μm nylon cell strainer to obtain a single-cell suspension and washed once with cell culture media. Single cell suspensions were counted using Precision Count Beads (Biolegend) and stained with 20 μg/ml DAPI to determine cell viability. Spleen and non-draining lymph node single cell suspensions were seeded at 2x10⁶ cells/well and 1-2x10⁶ cells/well, respectively into 96-well plates. For pancreatic lymph nodes, the entire single cell suspension obtained from each mouse was seeded into one well of a 96-well plate. For pancreas samples, 0.5-1mL (out of a 5mL suspension) was transferred to a FACS tube for staining. Cells were washed with phosphate-buffered saline (PBS) and incubated with FcR blocking reagent (Miltenyi Biotec) prior to incubating with antibodies (Supplementary Table 2). After staining with antibodies, cells were washed twice with PBS. Prior to staining samples for detection of intracellular cytokines, cells were incubated for 5 hr with and without 50ng/mL phorbol 12-myristate 13 acetate (PMA) and 1μg/mL ionomycin to stimulate cytokine production in T cells as well as GolgiPlug (BD Biosciences) to retain cytokines in the cytoplasm. After staining extracellular antigens, cells were then fixed and permeabilized using the Cytofix/Cytoperm kit (BD Biosciences) following manufacturer recommendations. Staining for intracellular cytokines was performed on the fixed/permeabilized cells. All samples were run on an Aurora Flow Cytometer (Cytek) and data was analyzed using FlowJo Prism software, version 10.7. Near IR fluorescent reactive dye was used to exclude dead cells in the analyses. As a quality control measure, pancreas samples with < 2% viable cells were excluded from analysis.

2.5 qRT-PCR

RNA from 5x10^6 splenocytes was extracted with the RNeasy Mini Kit (BioRad) and converted to cDNA using the Maxima First Strand cDNA Synthesis Kit (ThermoFisher Scientific). Quantitative reverse transcriptase polymerase chain reation (RT-qPCR) using iTaq Universal Syber Green Supermix (BioRad) and respective primers (Supplementary Table 1) was performed on cDNA to quantify the expression of Ifih1, Mx1, Ifit1, Hprt, and Oas1 genes. The plates were run on a Roche LightCycler 480 II. For ΔC_t values, gene expression was normalized to Hprt. Fold differences in mRNA expression (relative expression) were determined using the equation [2^(-ΔΔCt)].

2.6 Histology

Pancreases were fixed in 10% neutral buffered formalin for 24 hours (hr) and submitted to the OMRF Imaging Core Facility for paraffin processing, sectioning (on long axis) and hematoxylin and eosin (H&E) staining. Representative images were captured on a Zeiss Axioscan7. Insulitis was scored by an observer blinded to experimental details. For each mouse, 10 non-overlapping fields from 3 sections 100 microns apart were scored at 20X magnification. A grading score of 0-4 was used: 0=no infiltration, 1=per-insulitis, 2=<25% islet infiltration, 3 = 25-75% islet infiltration, and 4=>75% islet infiltration. Scores were excluded if less than 10 islets/section could be identified. The number of islets in each of 10 randoms fields were counted from 1 section per mouse. The average insulitis score, number of islets, and insulitis/islet (assessed from 1 section/mouse) per slide was plotted.

2.7 Immunofluorescent staining

The OMRF Imaging Core Facility performed Immunofluorescent (IF) staining on formalin-fixed paraffin embedded pancreas tissues (see Histology section). Pancreas sections were stained with rat anti-mouse B220/CD45R (catalog # 14-0452-82, ThermoFisher Scientic) together with rabbit anti-insulin (catalog # 3014, Cell Signaling Technology) primary antibodies. The secondary antibodies used were AlexaFluor 488 donkey anti-rabbit (Jackson ImmunoResearch, West Grove, PA) and AlexaFluor 647 donkey anti-rat (Jackson ImmunoResearch). For each mouse, all islets from one section (11-58mm², mean 32mm²) were analyzed using Image J software. The insulin-positive regions of the islets and whole islets were each outlined to measure the respective areas and calculate the percentage of insulin covered area per islet. To determine the percentage of B cell covered area per islet, the threshold tool in Image J was used to eliminate background signal and measure the percent area covered by B cells for each islet (whole islets were outlined using the region of interest manager in Image J). Mean insulin fluorescence intensity was also determined using the same process with the threshold and region of interest tools of Image J. Representative images were captured on a Zeiss Axioscan7 at 40X magnification. The average scores/islet for each mouse were plotted.

2.8 Statistical analysis

Statistical analysis was performed using GraphPad Prism 9.0. All data are expressed as mean ± SEM with p values of <0.05 considered significantly different. The Gehan-Breslow-Wilcoxon analysis was used for assessing differences in Kaplan-meier curves for diabetes incidence. Differences between Ifih1^R/R and Ifih1^NR/NR mice were determined using student’s unpaired t-tests.

3 Results

3.1 Generation of NOD.Ifih1^R mice

To determine the role of the IFIH1 risk variant in the immune cell compartments during diabetes pathogenesis in vivo, we generated a mouse strain with the Ifih1 risk allele that precisely mimicked the haplotype of two human T1D risk variants, rs3747517 (IFIH1^H843R) and rs1990760 (IFIH1^A946T), that were previously shown to be significantly associated with T1D (21). NOD mice naturally contain an arginine at amino acid 843 in the Ifih1 gene (risk allele; Ifih1^R843), allowing us to study the contribution of Ifih1^A946T to the risk haplotype on the NOD background. We used CRISPR/Cas9 editing to establish mice expressing the Ifih1^A946T risk allele on the NOD/ShiLtJ (NOD) background strain resulting in the risk haplotype encoded on the NOD background consisting of an arginine at position 843 and threonine at position 946 of Ifih1 mouse gene [called “NOD.Ifih1^R843-T946” (or simply NOD.Ifih1^R, here)] (Figures 1A, B). Mice homozygous for the risk Ifih1 allele (NOD.Ifih1^R/R) did not exhibit significant differences in Ifih1 mRNA levels at 14 weeks of age (Supplementary Figures 1A, B). Further, NOD.Ifih1^R/R mice were viable and fertile (Figure 1C). No differences were detected in body weights between homozygous non-risk Ifih1 (homozygous genotype of NOD.Ifih1^R843-A946 (or simply NOD.Ifih1^NR/NR, here)) and NOD.Ifih1^R/R mice at 14 weeks of age (Supplementary Figures 2A, B).

Figure 1

Figure 1 Generation of NOD.Ifih1^R mice. (A) Illustration of the location of the point mutation in Ifih1 at exon 15 as well as loxP sites using the CRISPR/Cas9 system. The point mutation is indicated in red (B) Sequence of the Ifih1 mutation. The point mutation is boxed. (C) Genotypes of mice (n=177) derived from the interbreeding of NOD.Ifih1^NR/R heterozygous mice.

3.2 NOD.Ifih1^R/R mice exhibit an elevated ISG signature

We have previously shown that c57BL/6J mice expressing Ifih1^R exhibit an elevated basal ISG signature (21). Due to our previous identification of Ifih1^R as a gain-of-function variant (21), we hypothesized that NOD.Ifih1^R/R mice would also display an elevated ISG signature. Quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) revealed a significant increase in Mx1, Ifit1, and Oas1 in the spleen of NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice. Importantly, these ISGs were significantly upregulated in both male and female NOD.Ifih1^R/R mice at 14 weeks of age (Figures 2A, B). Thus NOD.Ifih1^R/R mice exhibited a similar increased basal ISG signature as in c57BL/6J Ifih1^R/R mice.

Figure 2

Figure 2 NOD.Ifih1^R mice exhibit an enhanced ISG signature. The relative mRNA expression of ISGs, including Mx1, Ifit1, and Oas1 in 14-week-old (A) males (n=8 NOD.Ifih1^NR/NR, n=6 NOD.Ifih1^R/R) and (B) females (n=11 NOD.Ifih1^NR/NR, n=12 NOD.Ifih1^R/R) separated. P values were determined using student’s unpaired t tests. All data are mean ± SEM.

3.3 NOD.Ifih1^R alters the frequency and activation of CD8⁺ T cells in a tissue-dependent manner

Altered activation and composition of immune cells play a major role in pancreatic β-cell loss. We proposed that NOD.Ifih1^R/R would change immune cell populations through the elevated IFN signature exhibited in NOD.Ifih1^R/R mice. Due to the prominent role of autoreactive T cells in T1D pathogenesis, we first assessed spleens and lymph nodes from NOD.Ifih1^R/R mice for changes in T cell frequency and activation. No differences were observed in the spleen weights (Supplementary Figure 3A), total numbers of cells, (Supplementary Figures 3B, C) or cell viability in spleens or non-draining lymph nodes (Supplementary Figures 3D, E). In addition, NOD.Ifih1^R/R mice showed no difference in the frequency or numbers of CD4⁺ T cells (Supplementary Figures 4A–D). Interestingly, we detected a significant increase in the frequency and total number of splenic CD8⁺ T cells in NOD.Ifih1^R/R mice (Figures 3A, B). However, the percentage of splenic CD8⁺ T cells that were CD69⁺ was decreased (Figures 3C, D). In contrast to the spleens, we did not observe an increase in the frequency or total number of CD8⁺ T cells in NOD.Ifih1^R/R non-draining lymph nodes (Figures 4A, B). However, we detected an increased frequency of CD69⁺CD8⁺ T cells in NOD.Ifih1^R/R females alone (Figures 4C–E). To further evaluate CD8⁺ T cell activation, we assessed CD8⁺ T cells for intracellular production of IFN-γ, a major pro-inflammatory cytokine produced by activated CD8⁺ T cells (24). Cells were treated with phorbol 12-myristate 13 acetate (PMA) and ionomycin, which stimulate IFN-γ production in T cells. Our results showed an increase in the frequency of IFN-γ⁺CD8⁺ central memory and effector memory T cells in non-draining lymph nodes of NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figures 5A–C). No difference was observed in the frequency of splenic IFN-γ⁺CD8⁺ T cells (Supplementary Figures 5A–C). Therefore, Ifih1^R exerted differential effects on CD8⁺ T cell activation in the spleen compared to the lymph nodes. Altogether, these findings suggest that NOD.Ifih1^R/R may impact diabetes pathogenesis by altering CD8⁺ T cell-dependent immune responses in a tissue-dependent manner.

Figure 3

Figure 3 NOD.Ifih1^R increases the frequency of splenic CD69^- CD8⁺ T cells. (A, B) CD8⁺ T cells in the spleen as (A) frequency of live cells and (B) total CD8⁺ T cell numbers in NOD.Ifih1^NR/NR compared to NOD.Ifih1^R/R mice (n=10 NOD.Ifih1^NR/NR, n=12 NOD.Ifih1^R/R). (C) The splenic frequency of CD69⁺CD8⁺ T cells (CD3⁺CD8⁺CD69⁺) in 14-week-old NOD.Ifih1^NR/NR compared to NOD.Ifih1^R/R mice (n=10 NOD.Ifih1^NR/NR, n=12 NOD.Ifih1^R/R). (D) Representative gating of CD69⁺ CD8⁺ T cells (CD3⁺CD8⁺CD69⁺) from 14-week-old NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice by flow cytometry. P values were determined using student’s unpaired t tests. All data are mean ± SEM.

Figure 4

Figure 4 NOD.Ifih1^R increases the frequency of CD69 on CD8⁺ T cells in non-draining female lymph nodes. (A, B) CD8⁺ T cells in the lymph nodes (LN) as (A) frequency of live cells and (B) total CD8⁺ T cell numbers in NOD.Ifih1^NR/NR compared to NOD.Ifih1^R/R mice (n=10 NOD.Ifih1^NR/NR, n=12 NOD.Ifih1^R/R). (C, D) The frequency of CD69⁺ CD8⁺ T cells (CD3⁺CD8⁺CD69⁺) from lymph nodes of (C) all 14-week-old NOD.Ifih1^NR/NR compared to NOD.Ifih1^R/R mice (n=10 NOD.Ifih1^NR/NR, n=12 NOD.Ifih1^R/R) and (D) female NOD.Ifih1^NR/NR compared to NOD.Ifih1^R/R mice (n=8 NOD.Ifih1^NR/NR, n=9 NOD.Ifih1^R/R). (E) Representative gating of CD69⁺ CD8⁺ T cells (CD3⁺CD8⁺CD69⁺) from lymph nodes of 14-week-old female NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice by flow cytometry.

Figure 5

Figure 5 NOD.Ifih1^R increases the frequency of IFN-γ⁺CD8⁺ central memory and effector memory T cells in non-draining lymph nodes (LN). (A) Representative gating of CD8⁺ Naïve (CD62L⁺), central memory (CD62L⁺CD44⁺, T_CM), effector memory (CD62L^-CD44⁺, T_EM), and IFN-γ⁺CD8⁺ central memory and effector memory T cells from PMA/ionomycin-treated non-draining lymph nodes. (B, C) The frequency of IFN-γ⁺ CD8⁺ central memory and effector memory T cells from PMA/ionomycin-treated non-draining lymph nodes from (B) all mice (n=8 NOD.Ifih1^NR/NR, n=10 NOD.Ifih1^R/R) and (C) females only (n=6 NOD.Ifih1^NR/NR, n=7 NOD.Ifih1^R/R). P values were determined using student’s unpaired t tests. All data are mean ± SEM.

3.4 NOD.Ifih1^R increases B cell activation in lymph nodes

In addition to T cells, we focused on B cells due to their critical role in T1D pathogenesis in both humans and mice (5, 25). Since IFN I are known to drive B cell activation in a multipotent manner (26) and NOD.Ifih1^R/R exhibited an elevated ISG signature, we assessed for changes in B cells. By flow cytometry, there were no differences in the frequency or total number of B cells in spleens (Supplementary Figures 6A, B) or non-draining lymph nodes (Supplementary Figures 6C, D). However, the frequency of plasma cells was significantly increased in the non-draining lymph nodes of NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figures 6A, B). In addition, non-draining lymph nodes from NOD.Ifih1^R/R mice showed a trend for an increased frequency of CD80⁺ B cells (Figures 6C, D). As CD80 is important for B-T cell interactions and CD80 deficiency has been found to decrease the frequency of long-lived plasma cells (27), the increased frequency of CD80⁺ B cells in NOD.Ifih1^R/R mice may have facilitated increased B-T cell interactions and plasma cell formation or survival. To further assess B cell activation, we examined levels of an anti-inflammatory cytokine, IL-10, in B cells and found a significantly decreased frequency of IL-10⁺ cells that were positive for the plasma cell marker, CD138 in spleens from NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figures 6E, F). A similar trend for decreased IL-10 frequency was observed in CD138⁺ cells from non-draining lymph nodes of NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figures 6G, H). As previous studies have indicated that IL-10 secreting plasma cells or plasmablasts may play a regulatory role in autoimmune diseases (28, 29), a decrease in IL-10 production by NOD.Ifih1^R/R CD138⁺ cells may support enhanced inflammation during diabetes. Despite the increase in plasma cell frequency observed in NOD.Ifih1^R/R mice, no differences in insulin autoantibody production were detected between NOD.Ifih1^R/R and NOD.Ifih1^NR/NR male or female mice at age 14 weeks of age (Supplementary Figure 7A). Additionally, no differences were revealed in the levels of Smith ribonucleoprotein (smRNP) or dsDNA autoantibodies (Supplementary Figures 7B–E), which were found to be elevated by Ifih1^R in c57BL/6J mice given adoptive transfer of BM12 CD4⁺ T cells in our previous study (21). These findings support the notion that Ifih1^R increases B cell activation and promotes disease in female NOD.Ifih1^R/R mice by methods other than autoantibodies.

Figure 6

Figure 6 NOD.Ifih1^R increases B cell activation in non-draining lymph nodes (LN) and decreases the frequency of splenic IL-10⁺CD138⁺ cells. (A) Representative gating of plasma cells (CD19⁺B220^-CD138⁺) from lymph nodes of 14-week-old NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice by flow cytometry. (B) The frequency of plasma cells in lymph nodes of 14-week-old mice (n=14 NOD.Ifih1^NR/NR, n=18 NOD.Ifih1^R/R). (C) Representative gating of CD80⁺ B cells (B220⁺CD80⁺) from lymph nodes of 14-week-old NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice by flow cytometry. (D) The frequency of CD80⁺ B cells in lymph nodes of 14-week-old mice (n=14 NOD.Ifih1^NR/NR, n=18 NOD.Ifih1^R/R). (E) Representative gating of IL-10⁺ B220^-CD138⁺ cells from spleens of 14-week-old NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice by flow cytometry. (F) The frequency of IL-10⁺ B220^-CD138⁺ cells from spleens of 14-week-old mice (n=5 NOD.Ifih1^NR/NR, n=6 NOD.Ifih1^R/R). (G) Representative gating of IL-10⁺ B220^-CD138⁺ from lymph nodes of 14-week-old NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice by flow cytometry. (H) The frequency of IL-10⁺ B220^-CD138⁺ cells from lymph nodes of 14-week-old mice (n=5 NOD.Ifih1^NR/NR, n=6 NOD.Ifih1^R/R). P values were determined using student’s unpaired t tests. All data are mean ± SEM.

3.5 NOD.Ifih1^R increases diabetes incidence and insulitis

Due to the differences in the immune system, we next wanted to determine the effects of Ifih1^R on diabetes incidence. Blood glucose levels were assessed every two weeks between 10-32 weeks of age in mice expressing the NOD.Ifih1^NR/NR or NOD.Ifih1^R/R. Mice were considered diabetic if they showed 2 consecutive blood glucose readings of ≥250 mg/dL. The rate of diabetes was modestly increased in NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figure 7A). The incidence of diabetes was significantly accelerated in female NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figure 7B). Strikingly, by 16 weeks of age, greater than 70% of NOD.Ifih1^R/R female mice became diabetic, whereas less than 25% of NOD.Ifih1^NR/NR females were diabetic at this age. In contrast, male NOD.Ifih1^R/R mice did not exhibit a significant acceleration in diabetes incidence. NOD.Ifih1^R/R males showed a modest, yet insignificant increase in diabetes incidence by age 30 weeks (Figure 7C). Altogether, these findings indicate a sex-dependent effect of NOD.Ifih1^R in driving diabetes pathogenesis.

Figure 7

Figure 7 NOD.Ifih1^R accelerates diabetes incidence in females. (A-C) Diabetes incidence in (A) total mice (n=30 per genotype), (B) females only (n=14 NOD.Ifih1^NR/NR, n=15 NOD.Ifih1^R/R), and (C) males only (n=16 NOD.Ifih1^NR/NR, n=15 NOD.Ifih1^R/R), and displayed using Kaplan Meier survival curves. P values for diabetes incidence in (A-C) were determined by performing Gehan-Breslow-Wilcoxon tests.

Prior to the onset of hyperglycemia and overt diabetes, immune cells infiltrate pancreatic islets and attack islet β-cells. In NOD mice, insulitis begins to occur as early as 3-4 weeks of age and continues to worsen until clinical symptoms of diabetes manifest, which generally occurs between 14-25 weeks of age (30). To determine the effect of Ifih1^R on the magnitude of insulitis, we assessed insulitis in NOD.Ifih1^R/R and NOD.Ifih1^NR/NR mice at age 14 weeks, an early timepoint in disease pathogenesis. Our results revealed significantly elevated insulitis in NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Figures 8A–F). Interestingly, although acceleration of diabetes occurred only in female NOD.Ifih1^R/R mice, only male NOD.Ifih1^R/R exhibited a statistical increase in inflammation at this time point as compared to NOD.Ifih1^NR/NR mice (Figures 8C–F). Further, no differences were observed in the numbers of pancreatic islets in NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice at this time point (Figures 8G, H). Overall, these results demonstrate that while Ifih1^R accelerates diabetes onset in female mice, this accelerated process is associated with only modest changes in pancreatic immune cell infiltration by 14 weeks of age.

Figure 8

Figure 8 NOD.Ifih1^R increases insulitis in 14-week-old males. (A) Representative images of scoring criteria used: 0=no infiltration, 1=peri-insulitis, 2=<25% islet infiltration, 3 = 25-75% islet infiltration, and 4=>75% islet infiltration. Scale bars: 50μM. (B) Representative images showing insulitis from 14-week-old NOD.Ifih1^NR/NR and NOD.Ifih1^R/R mice. Scale bars: 50μM. (C, D) Insulitis scores from 14-week-old (C) males (n=6 NOD.Ifih1^NR/NR, n=5 NOD.Ifih1^R/R) and (D) females (n=5 per genotype). Scores were excluded if less than 10 islets/section could be identified. (E, F) insulitis/islet in 14-week-old (E) males (n=6 NOD.Ifih1^NR/NR, n=5 NOD.Ifih1^R/R) and (F) females (n=6 NOD.Ifih1^NR/NR, n=7 NOD.Ifih1^R/R). (G, H) mean islets/field in 14-week-old (G) males (n=6 NOD.Ifih1^NR/NR, n=5 NOD.Ifih1^R/R) and (H) females (n=6 NOD.Ifih1^NR/NR, n=7 NOD.Ifih1^R/R), P values were determined using student’s unpaired t tests. All data are mean ± SEM.

The increase in insulitis observed in 14-week-old NOD.Ifih1^R/R males prompted us to examine the pancreas for the specific types of immune infiltrates present. We performed flow cytometry to determine the levels of B and T cells in the pancreases. Unlike the spleens, we did not find a significant difference in the frequency of CD8⁺ T cells in the pancreases or draining lymph nodes of NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice (Supplementary Figures 8A, B). Additionally, no differences in the frequencies of B cells or plasma cells were detected in the pancreatic draining lymph nodes (Supplementary Figures 8C, D). However, a trend for an increased frequency of B cells was observed in the pancreases of 14-week-old males by flow cytometry (Figure 9A). Therefore, we further investigated B cell infiltration by performing indirect immunofluorescent (IF) staining for B cells on pancreases. Indirect IF for insulin, which is a specific marker for pancreatic β-cells, was also performed to evaluate for β-cell attrition. Strikingly, IF staining revealed a significant decrease in the percentage of β-cell covered area and mean insulin fluorescence intensity per islet as well as a significant increase in the percent of B cell covered area per islet in 14-week-old NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR males only (Figures 9B–E). Pancreatic islets from female mice did not show a significant difference in the insulin covered area or fluorescence intensity or B cell covered area (Figures 9B, F–H). Importantly, the percentage of β-cell covered area in 14-week-old NOD.Ifih1^NR/NR females was comparable to that of 14-week-old NOD.Ifih1^R/R males, and the percentage of B cell covered area in NOD.Ifih1^NR/NR females was even higher than that of NOD.Ifih1^R/R males. These findings further support the notion that the pathology linked to the early stages of diabetes was already more advanced in females compared to males at 14-weeks-old. Furthermore, our results provide evidence that NOD.Ifih1^R/R may promote initial pancreatic B cell infiltration and β-cell death in males.

Figure 9

Figure 9 NOD.Ifih1^R promotes depletion of β-cells and enhances B cell infiltration in pancreatic islets in 14-week-old males. (A) Frequency of B cells (CD45⁺B220⁺) in the pancreas of 14-week-old male mice (n=6 NOD.Ifih1^NR/NR, n=5 NOD.Ifih1^R/R) by flow cytometry. (B) Representative images showing β-cells (insulin positive, green, top panel), B cells (white, middle panel), and merged images with DAPI (bottom panel). Scale bars: 50μM. (C-E) Graphs show (C) the percentage of β-cell-covered area/islet, (D) mean insulin intensity/islet, and (E) the percentage of B cell covered area/islet in pancreases of 14-week-old male mice (n=6 NOD.Ifih1^NR/NR, n=5 NOD.Ifih1^R/R). (F-H) Graphs show (F) the percentage of β-cell-covered area/islet, (G) mean insulin intensity/islet, and (H) the percentage of B cell covered area/islet in pancreases of 14-week-old female mice (n=6 NOD.Ifih1^NR/NR, n=7 NOD.Ifih1^R/R). P values were determined using student’s unpaired t tests. All data are mean ± SEM.

4 Discussion

Initiation of T1D pathogenesis is driven by a combination of genetic predisposition(s), environmental risk factors, and anti-viral immunity. Questions remain regarding the precise mechanisms that augment T1D and the interplay among known genetic variants, environmental triggers, and immune-response aberrancies that drive disease onset. Understanding the role of IFIH1^R in T1D pathogenesis is important due to its strong propensity to impact disease initiation and/or progression in a multipotent manner. As a cytosolic sensor for viral RNA, IFIH1 is critical for activating IFN I signaling in response to viral pathogens, especially derived from the picornaviridae family which includes CVB, a probable environmental risk factor of T1D. Variants of IFIH1 could alter basal or pathogen-induced cell signaling cascades that influence immune cell populations and susceptibility to autoimmune diseases such as T1D. Since the rs1990760 IFIH1 risk variant is associated with increased susceptibility to T1D, we set out to determine how IFIH1^R alters the immune system by promoting diabetes pathogenesis in vivo by utilizing an Ifih1^R knock-in model on the NOD mouse strain. Therefore, we could assess the effect of IFIH1^R on diabetes onset and severity. We could also investigate changes indicative of altered interferon signaling and differences in the immune cell populations that might underly the diabetic phenotypes. Our results indicate a causal role of IFIH1^R on diabetes development in vivo, in which Ifih1^R accelerates diabetes onset in females and alters the frequency and activation of immune cell populations in NOD mice in a sex-dependent and -independent manner. In addition, Ifih1^R exhibited an elevated ISG signature, which likely influenced the observed changes in immune cell compartments.

Our previous findings showed that Ifih1^R increased streptozocin (STZ)-induced diabetes incidence as well as synergized with the Ptpn22 diabetes risk variant (mouse model for the rs2476601 human risk variant) to further accelerate and increase STZ-induced diabetes (21). Our findings in the current study demonstrate that Ifih1^R accelerates diabetes in female NOD mice. As autoreactive cytotoxic CD8⁺ T cells drive pancreatic β-cell destruction in diabetes, it seems plausible that changes in the frequency and activation (CD69⁺ and IFN-γ⁺) of CD8⁺ T cells observed in NOD.Ifih1^R/R mice likely contributed to the accelerated diabetes observed in NOD.Ifih1^R/R females. Supporting an important role for CD69⁺ activated T cells in diabetes, CD69 expression has been found to be increased in T cells from insulin-stimulated whole blood from T1D patients compared to healthy controls (31) as well as in diabetic compared to nondiabetic T cells from NOD mice (32). IFN-γ also plays an important role in T1D pathogenesis by promoting homing of immune cells to pancreatic islets and facilitating β-cell antigen presentation (33, 34). Lack of IFN-γ has been found to delay diabetes development in NOD mice (34). Increased IFN-γ production in memory CD8⁺ T cells likely contributed to accelerated diabetes in NOD.Ifih1^R/R females. Curiously, NOD.Ifih1^R/R lymph nodes displayed similar frequencies of CD8⁺ T cells, but with elevated CD69 expression and frequency of IFN-γ in central and effector memory cells, whereas NOD.Ifih1^R/R spleens showed increased frequencies and numbers of CD8⁺ T cells that displayed decreased levels of CD69. Thus, NOD.Ifih1^R/R may elicit a tissue-dependent effect on CD8⁺ T cells that depends upon additional factors from the surrounding microenvironment. As CD69 has also been considered a retention marker (35), tissue-dependent alterations in CD69 levels could impact the propensity for T cell retention or migration to the pancreas and other sites of immune autoreactivity.

Since we observed an increase in plasma cells in NOD.Ifih1^R/R compared to NOD.Ifih1^NRN/R mice, we posit that increased B cell activation contributed to the accelerated diabetes in females. B cells play a major role in driving T1D by presenting islet antigens to T cells, activating T cells through co-stimulation, and producing islet autoantibodies. Although the onset of T1D can occur at any age, loss of β-cells and disease progression is more rapid in individuals diagnosed at a younger age, and previous studies have attributed this rapid progression to increased pancreatic infiltration and activation of B cells (5, 36). Depletion of B cells by anti-CD20 prevented diabetes in NOD mice (37, 38) and delayed the loss of insulin in T1D in humans, which was more effective in younger patients (5), underscoring the contribution of B cells to T1D pathology. Supporting a role for IFIH1 in diabetes-linked B cell activation, a recent study demonstrated enhanced Ifih1 gene expression in B cells from a NOD-Rag1^-/- somatic cell nuclear transfer (SCNT) B cell receptor model (B1411), which utilized pancreas-infiltrating B cells as donors for SCNT, allowing endurance of B cells in the absence of T cells (39). The B1411 mice showed impaired glucose tolerance and were able to form pancreatic lymph nodes and undergo class-switching in the absence of T cells. Our results showed elevated numbers of plasma cells in NOD.Ifih1^R/R mice, suggesting that NOD.Ifih1^R/R may increase B cell activation. Supporting the notion that elevated plasma cells may have resulted from enhanced IFIH1-mediated downstream signaling, a different Ifih1 gain of function variant not associated with human disease (G821S) was also found to increase the production of plasma cells in mice (11). Importantly, patients with T1D have shown increased levels of plasmablasts and an increased distribution of plasma cells in peripheral blood samples (40, 41). Thus, we posit that the increased plasma cells present in NOD.Ifih1^R/R may play a causal role in diabetes pathogenesis.

B-T cell interactions enabled by co-stimulatory molecules expressed on the surface of B and T cells are also critical for the formation of plasma cells (42). Concomitant with an increase in plasma cells, our results revealed a trend for increased frequency of B cells expressing CD80 in NOD.Ifih1^R/R mice. CD80 is a co-stimulatory molecule known to drive or inhibit T cell activation by interacting with CD28 or CTLA-4 expressed on T cells, respectively. Moreover, CD80 has also been found to support formation of long-lived plasma cells (27). Increased frequency of CD80 on B cells in NOD.Ifih1^R/R females may have facilitated increased T cell co-stimulation leading to increased plasma cell formation and/or survival. Although plasma cells were increased in NOD.Ifih1^R/R mice, we did not observe differences in autoantibody production. It is possible that differences in IAA may have been more evident in NOD mice at a different/earlier age, as IAA levels have been found to peak between the age 8 and 16 weeks in NOD mice (43). Further, NOD.Ifih1^R/R B cells may be producing other autoantibodies that were not tested. Although an increase in IFIH1 autoantibodies (anti-MDA5 antibodies) have not been reported in T1D, it may be of interest to assess in future studies if Ifih1^R/R impacts development of these autoantibodies, which are deleterious in patients with dermatomyositis (44). Importantly, B cells have the capacity to drive diabetes without producing autoantibodies (45) by acting as antigen presenting cells and co-stimulating T cells. Moreover, plasma cells exert various functions aside from secreting antibodies, including production of cytokines that regulate hematopoiesis and immune tolerance in the intestines (46), which could impact the development of diabetes. Plasma cells or plasmablasts have also been found to be an important source of IL-10 in response to infection or in autoimmunity (28, 47, 48). IL-10 producing plasmablasts/plasma cells were found to be critical for suppressing excessive inflammation in an experimental autoimmune encephalomyelitis mouse model (a mouse model of multiple sclerosis) as well as in mice infected with Trypanosoma brucei (28, 47). We speculate that IL-10 producing plasma cells play a regulatory role in the context of T1D. We found that Ifih1^R increased the overall frequency of plasma cells but decreased the frequency of IL-10 within plasma cells of non-draining lymph nodes, suggesting that Ifih1^R may disrupt plasma cell composition or function that could promote inflammation during T1D.

Despite the accelerated onset of diabetes and CD8⁺ T cell activation observed in NOD.Ifih1^R/R female mice, insulitis was more pronounced in NOD.Ifih1^R/R male mice. We speculate that accelerated diabetes coincided with accelerated insulitis in NOD.Ifih1^R/R female mice. Thus, although it is still possible that the age/timing of immune infiltration may differ between NOD.Ifih1^NR/NR and NOD.Ifih1^R/R females, the degree of insulitis was comparable at age 14 weeks. The increased insulitis in 14-week-old males suggests that Ifih1^R can promote pancreatic immune infiltration. This is supported by our findings of increased B cell infiltrates in the pancreas in NOD.Ifih1^R/R male mice. Both B cells and CD8⁺ T cells, with a comparatively higher number of B cells, are known to infiltrate the pancreas in young NOD male and female mice, with infiltration occurring earlier in females (49). The increase in B cells, without an increase in CD8⁺ T cells in NOD.Ifih1^R/R males may also be linked to the timing or stage of disease. Increased B cells may promote enhanced antigen presentation of β-cells that leads to increased frequency or activation of CD8⁺ T cells at a later time point. However, we cannot rule out that regulatory immune cells may have constituted some of the immune infiltrates observed in the islets of NOD.Ifih1^R/R males, which might help explain the more mild diabetic phenotype observed in male compared to female NOD.Ifih1^R/R mice. Therefore, it will be of great interest to further investigate the effect of Ifih1^R on the kinetics and constituents of pancreatic immune cell invasion in NOD mice.

Consistent with the notion that IFIH1^R acts as a gain-of-function variant, we observed an increase in the expression of ISGs in NOD.Ifih1^R/R compared to NOD.Ifih1^NR/NR mice, indicative of increased IFN I signaling. As Mx1, Ifit1, and Oas1 ISGs were increased in young mice, it seems probable that the increase in these ISGs contributed to diabetes onset. Importantly, an ISG signature is present prior to diabetes onset in children, further supporting that IFN I signaling and increased ISGs may drive disease pathology (7). Since we observed an increase in ISGs in males and females, other sexually dimorphic variables, such as hormones, likely impacted the divergent phenotypes seen in males and females.

Interestingly, a recent study showed that the complete absence of Ifih1 (KO) in NOD mice accelerated T1D in males, which was postulated to occur due to an inability of Ifih1 KO mice to produce sufficient myeloid-derived suppressor cells (19). In contrast, female NOD Ifih1 KO mice developed disease similarly compared to NOD mice (19). Further, both male and female NOD Ifih1 mice with an in-frame deletion in the HEL1 domain of IFIH1 (NOD.ΔHel1) exhibited delayed disease onset which was a result of decreased IFIH1-mediated ATP hydrolysis, IFN I production, and pancreatic immune cell infiltration by macrophages, CD4⁺ and CD8⁺ T cells (19). In contrast, we observed accelerated disease in only female NOD.Ifih1^R mice. Despite exhibiting an increase in plasma cells, frequency of splenic CD8⁺ T cells, expression of ISGs, increased β cell depletion, and insulitis marked by increased B cell infiltration at age 14 weeks, NOD.Ifih1^R/R males did not show a significant increase or acceleration in diabetes incidence, suggesting that additional protective mechanisms may have ameliorated disease in males. Taken together, more work is needed to investigate the sex-dependent roles of IFIH1 in T1D pathogenesis.

Collectively, our findings reveal important mechanisms by which IFIH1^R may contribute to development of diabetes including upregulation of ISGs, increased insulitis, and immune cell activation. Furthermore, the NOD.Ifih1 mice present a unique opportunity to investigate how immune-response changes contribute to diabetes. Our results advance knowledge on underlying factors that may connect the IFIH1 rs1990760 variant with T1D and highlight the need to further investigate the precise role of IFIH1^R in T1D pathogenesis. Follow-up studies should incorporate the use of viral models to determine how the interplay of genetic variants like IFIH1^R and environmental factors, such as CVB, impact diabetes pathogenesis.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

Procedures and experiments performed on all mice followed the Institutional Animal Care & Use Committee guidelines of the Oklahoma Medical Research Foundation and Seattle Children’s Research Institute. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

AS: Formal Analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing. PG-P: Investigation, Writing – review & editing. LP: Formal Analysis, Investigation, Validation, Writing – review & editing. SK: Formal Analysis, Methodology, Validation, Visualization, Writing – review & editing. SC: Investigation, Writing – review & editing. HB: Investigation, Writing – review & editing. PW: Investigation, Writing – review & editing. TZ: Methodology, Resources, Writing – review & editing. AR: Investigation, Writing – review & editing. EA: Methodology, Resources, Writing – review & editing. KM: Methodology, Resources, Writing – review & editing. JB: Funding acquisition, Methodology, Resources, Writing – review & editing. DR: Conceptualization, Resources, Funding acquisition, Methodology, Writing – review & editing. JG: Conceptualization, Formal Analysis, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing, Funding acquisition, Investigation, Resources, Validation.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from NIH: COBRE P20GM139763, DP3-DK097672 (to JB), and DP3-DK111802 (to DR). Additional support was provided by the Harold Hamm Diabetes Center Grant (to JG), Oklahoma Center for Adult Stem Cell Research Grant (to JG), Children’s Guild Association Endowed Chair in Pediatric Immunology (to DR), and the Oklahoma Medical Research Foundation.

Acknowledgments

We sincerely thank Dr. Ben Fowler, Julie Crane, Brie Benjamin-Baker, Rhea Holder, Justin Willige, and Lindsay Stone of the OMRF Imaging Core Facility as well as Jacob Bass and Dr. Diana Hamilton of the OMRF Flow Cytometry core for technical support. The Aurora was supported by NIH S10OD028479-01. We thank Drs. Umesh Deshmukh, Harini Bagavant, Susan Kovats, Jose Alberola-Ila, Joel Guthridge, and Judith James for helpful advice and occasionally providing reagents. We would like to acknowledge Steven Lee for technical support. This work is available as a preprint on bioRxiv.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Author disclaimer

The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The authors declare no competing financial interests.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1349601/full#supplementary-material

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