Compartmentalization and persistence of dominant (regulatory) T cell clones indicates antigen skewing in juvenile idiopathic arthritis

  1. Gerdien Mijnheer
  2. Nila Hendrika Servaas
  3. Jing Yao Leong
  4. Arjan Boltjes
  5. Eric Spierings
  6. Phyllis Chen
  7. Liyun Lai
  8. Alessandra Petrelli
  9. Sebastiaan Vastert
  10. Rob J de Boer
  11. Salvatore Albani
  12. Aridaman Pandit  Is a corresponding author
  13. Femke van Wijk  Is a corresponding author
  1. Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Netherlands
  2. Translational Immunology Institute, Singhealth/Duke-NUS Academic Medical Centre, the Academia, Singapore
  3. Pediatric Immunology & Rheumatology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, Utrecht University, Netherlands
  4. Theoretical Biology, Utrecht University, Netherlands
6 figures, 1 table and 3 additional files

Figures

Figure 1 with 1 supplement
Overall immune architecture in left and right affected joints is very similar but distinct from peripheral blood.

(A) Density maps based on t-SNE dimensional reduction and k-means clustering analysis on SF and PB samples, resulting in 22 cellular nodes. (B) Preliminary hierarchal clustering on the median expression of all markers, excluding lineage markers. (C) Density maps of immune cellular populations within the t-SNE maps. (D) Node frequency fingerprints showing the distribution across the nodes of SFMCs and PBMCs. PB, peripheral blood; PBMC, peripheral blood mononuclear cell; SF, synovial fluid; SFMC, synovial fluid mononuclear cell; t-SNE, t-distributed stochastic neighbor embedding.

Figure 1—figure supplement 1
Preliminary analysis reveals correlation between SFMC from distinct joints.

(A) Node frequency showing the distribution of T cell markers across the nodes of SFMCs an PBMCs in the CyTOF analysis. (B) Marker expression of t-SNE dimensional reduction and k-means clustering analysis on SFMC and PBMC samples (C) Correlation matrix using spearman correlation of the entire spectrum of node frequency given in (A). PBMC, peripheral blood mononuclear cell; SF, synovial fluid; SFMC, synovial fluid mononuclear cell; t-SNE, t-distributed stochastic neighbor embedding.

Figure 2 with 2 supplements
T cells display similar phenotypical and functional profiles at distinct inflamed locations.

(A) Cytokine production of CD4+CD45RA memory T cells depicted in radar plots. Axis indicates the proportion of positive cells for individual cytokines (indicated by coloring) within the memory T cell fraction. (B) Percentage CD25+FOXP3+ Treg of CD3+CD4+ cells in SFMC and PBMC of JIA patients and healthy children, and percentage of Ki67+ cells within CD45RA cells in Treg and non-Treg in SFMC (nonparametric Mann-Whitney, *=p<0.05). For SFMCs, data from the right and left knee joints for all patients is shown. (C) Expression of functional markers by CD25+FOXP3+CD45RA cells. JIA, juvenile idiopathic arthritis; PBMC, peripheral blood mononuclear cell; SFMC, synovial fluid mononuclear cell.

Figure 2—figure supplement 1
JIA SFMCs display an activated expression profile.

(A) t-SNE plots showing the expression profile of phenotypical and functional markers in SFMC and PBMC from JIA patients and PBMC from healthy children. (B) Bar charts showing the percentage of specific cell populations within CD4+CD45RA and CD8+CD45RA cells (nonparametric Mann-Whitney, *=p<0.05). (C) TtSNE plots showing the expression profile of phenotypical and functional Treg markers in SFMC, PBMC from JIA patients and PBMC from healthy children. (D) Quantification of CD45RAICOS+ and CD45RAHLADR+ expression on CD25+FOXP3+ Treg (nonparametric Mann-Whitney, *=p<0.05). (E) MFI of Ki67 protein expression in Treg and non-Treg as determined by flow cytometry. JIA, juvenile idiopathic arthritis; PBMC, peripheral blood mononuclear cell; SFMC, synovial fluid mononuclear cell; t-SNE, t-distributed stochastic neighbor embedding.

Figure 2—figure supplement 2
Tregs are increased in autoimmune rheumatic disease and express markers of enhanced activation.

(A) UMAP of scRNA-seq data of T cells obtained from RA and OA patients. Colors indicate different clusters, with cluster 3 being classified as Tregs. (B) Expression of prototypical Treg markers across different clusters identified in (A). (C) Frequency of Tregs as a percentage of the total number of T cells (y-axis) in OA (orange) and RA (green) patients. (D) Expression of markers associated with chronic TCR activation (PDCD1, CTLA4, and ICOS), and cytokines (TNF, IFNG, and GZMB) across OA (orange) and RA (green) patients. Numbers indicate p values (Wilcoxon rank-sum test) of the comparison between OA and RA. OA, osteoarthritis; NS, not significant; RA, rheumatoid arthritis.

Figure 3 with 1 supplement
Highly dominant T cell clones are shared in synovial fluid (SF) from left and right joints and peripheral blood (PB).

(A) Clonal proportions of the TCRβ clones as detected in Treg and non-Treg sorted from PBMC, SF left joint, SF right joint of two different JIA patients. (B) Sequential intersection of abundant TCRβ clonotypes (based on amino acid sequence) across samples. Top clonotypes (ranging from 1 to 1000) are given on the x-axis, with the percentage of sequences overlapping between two given samples on the y-axis. For patient 3, no PB sample was available. (C) Frequency plots showing the overlapping Treg and non-Treg clones between left joint derived SF (x-axis) and right joint derived SF (y-axis), with color coding highlighting the clones that are shared with none of the other samples (black circle), shared in two samples (purple) and all three samples (PB, SF left, SF right; yellow). (D) Correlation (linear regression, dashed line) between frequency (x-axis) and generation probability (y-axis) of TCR clones shared across SF two samples. (E) Results of correlation between frequency and generation probability across all samples. p, p value; Pat., patient; PBMC, peripheral blood mononuclear cell; R, Spearman’s Rho; SF, synovial fluid.

Figure 3—figure supplement 1
The JIA peripheral Treg repertoire is less diverse than healthy.

Sample-based rarefaction and extrapolation curves. Solid lines depict observed data, dashed lines depict extrapolated data. Calculated for all healthy samples (green), and JIA samples (orange). Every line represents one individual sample. Boxplots show median of estimated species richness (left) and estimated Shannon diversity (right) calculated from the rarefied and extrapolated data shown in (A). JIA, juvenile idiopathic arthritis; HC, healthy control.

Figure 4 with 4 supplements
Persistence of Treg clones over the course of relapse remitting disease.

(A) Heatmap showing overlap (Jaccard index, light blue = limited overlap, darkblue = high overlap) of Treg derived TCRβ sequences obtained from SF or PB from JIA patients over time. L=left knee, R=right knee. (B) Venn diagrams displaying the 100 most abundant unique TCRβ clones, defined by amino acid sequence, for longitudinal SF samples from all patients. (C) Frequency plots showing the overlapping Treg clones between visits for SF and PB, with color coding and shapes highlighting the number of samples in which unique clones are found. L=left; R=right. (D) Correlation (linear regression, dashed line) between frequency (x-axis) and generation probability (y-axis) of TCR clones shared across two visits for SF samples. PB, peripheral blood; SF, synovial fluid; TCR, T cell receptor.

Figure 4—figure supplement 1
Longitudinal sampling timelines of JIA patients.

JIA, juvenile idiopathic arthritis; L, left; PB, peripheral blood; R, right; SF, synovial fluid.

Figure 4—figure supplement 2
TCR overlap analysis.

(A) Venn diagrams displaying the overlap of all unique TCRβ clones, defined by amino acid sequence, for longitudinal SF samples from all patients for Tregs and (B) non-Tregs. SF, synovial fluid; TCR, T cell receptor.

Figure 4—figure supplement 3
JIA Treg TCR frequencies over time in the remaining four patients.

Frequency plots showing the overlapping Treg clones between visits for SF and PB, with color coding and shapes highlighting the number of samples in which unique clones are found. JIA, juvenile idiopathic arthritis; L, left; PB, peripheral blood; R, right; SF, synovial fluid; TCR, T cell receptor.

Figure 4—figure supplement 4
Frequencies of TCRs from persistent Tregs shared across SF and PB samples.

Frequency plots showing the overlapping Treg clones between visits for SF and PB for patient 1, with color coding and shapes highlighting the number of samples in which unique clones are found. PB, peripheral blood; SF, synovial fluid; TCR, T cell receptor.

Figure 5 with 1 supplement
Persistence of non-Treg clones over the course of relapse remitting disease.

(A) Heatmap showing overlap (Jaccard index, light blue = limited overlap, darkblue = high overlap) of non-Treg derived TCRβ sequences obtained from SF or PB from JIA patients over time. L, left knee, R, right knee. (B) Venn diagrams displaying the 100 most abundant unique TCRβ clones, defined by amino acid sequence, for longitudinal SF samples from all patients. (C) Frequency plots showing the overlapping non-Treg clones between visits for SF and PB, with color coding and shapes highlighting the number of samples in which unique clones are found. L, left; R, right. (D) Correlation (linear regression, dashed line) between frequency (x-axis) and generation probability (y-axis) of TCR clones shared across two visits for SF samples. JIA, juvenile idiopathic arthritis; PB, peripheral blood; SF, synovial fluid; TCR, T cell receptor.

Figure 5—figure supplement 1
JIA non-Treg TCRβ frequencies over time in the remaining four patients.

Frequency plots showing the overlapping non-Treg clones between visits for SF and PB, with color coding and shapes highlighting the number of samples in which unique clones are found. JIA, juvenile idiopathic arthritis; L, left; PB, peripheral blood; R, right; SF, synovial fluid; TCR, T cell receptor.

TCR similarity analysis of sequences found across distinct JIA patient knees.

(A) TCR similarity networks based on amino acid k-mer sharing (k=3) between TCR sequences. Every node represents one TCRβ sequence, with sequences present in one sample (SF from left or right knees) highlighted in blue and orange, and sequences shared across two samples highlighted in green. Nodes are connected if TCRs share at least eight k-mers. Networks from JIA patient repertoires (right) are compared to random repertoires (left), with the same repertoire size. (B) Number of TCR sequences (x-axis) and their connections (y-axis) to other TCR sequences of the top five similarity clusters identified in (A). Blue density maps depict clusters identified in random repertoires (N=100), while black circles depict clusters identified in JIA patients. (C) Cluster purity (y-axis, %) for the top five clusters identified in random repertoires (RC), and JIA patient TCR similarity networks. Numbers indicate p-value of difference between RC and JIA (Mann-Whitney). JIA, juvenile idiopathic arthritis; RC, random repertoires; SF, synovial fluid; TCR, T cell receptor.

Tables

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Biological sample (human)Peripheral bloodUniversity Medical Center UtrechtHealthy donors and JIA patients
Biological sample (human)Synovial fluidUniversity Medical Center UtrechtJIA patients
AntibodyAnti-human CD3 (UCHT1) (Mouse monoclonal)BioLegendCat#: 300402CyTOF (5μg/ml)
AntibodyAnti-human CD4 (SK3) (Mouse monoclonal)BioLegendCat#: 344625CyTOF (5μg/ml)
AntibodyAnti-human CD8 (SK1) (Mouse monoclonal)BioLegendCat#: 344727CyTOF (5μg/ml)
AntibodyAnti-human CD11b (ICRF44) (Mouse monoclonal)BioLegendCat#: 301302CyTOF (5μg/ml)
AntibodyAnti-human CD16 (3G8) (Mouse monoclonal)FluidigmCat#: 3209002BCyTOF (5μg/ml)
AntibodyAnti-human CD14 (M5E2) (Mouse monoclonal)BioLegendCat#: 301843CyTOF (5μg/ml)
AntibodyAnti-human IL-4 (8D4-8) (Mouse monoclonal)BioLegendCat#: 500707CyTOF (5μg/ml)
AntibodyAnti-human IFN-g (B27) (Mouse monoclonal)BioLegendCat#: 506513CyTOF (5μg/ml)
AntibodyAnti-human IL-17A (BL168) (Mouse monoclonal)BioLegendCat#: 512302CyTOF (5μg/ml)
AntibodyAnti-human IL-21 (3A4-N2) (Mouse monoclonal)BioLegendCat#: 513009CyTOF (5μg/ml)
AntibodyAnti-human CD161 (HP-3G10) (Mouse monoclonal)BioLegendCat#: 339902CyTOF (5μg/ml)
AntibodyAnti-human CD45RA (HI100) (Mouse monoclonal)BioLegendCat#: 304102CyTOF (5μg/ml)
AntibodyAnti-human CD69 (FN50) (Mouse monoclonal)BioLegendCat#: 310902CyTOF (5μg/ml)
AntibodyAnti-human CD28 (CD28.2) (Mouse monoclonal)BioLegendCat#: 302923CyTOF (5μg/ml)
AntibodyAnti-human CD152 (BNI3) (Mouse monoclonal)BioLegendCat#: 555851CyTOF (5μg/ml)
AntibodyAnti-human CD154 (24-31) (Mouse monoclonal)BioLegendCat#: 310835CyTOF (5μg/ml)
AntibodyAnti-human HLA-DR (L243) (Mouse monoclonal)BioLegendCat#: 307612CyTOF (5μg/ml)
AntibodyAnti-human LAG3 (17B4) (Mouse monoclonal)AbcamCat#: ab40466CyTOF (5μg/ml)
AntibodyAnti-human PD1 (EH12.2H7) (Mouse monoclonal)BioLegendCat#: 329941CyTOF (5μg/ml)
AntibodyAnti-human Ki67 (20Raj1) (Mouse monoclonal)Thermo Fisher Scientific/eBioscienceCat#: 14-5699-82CyTOF (5μg/ml)
AntibodyAnti-human ICOS (C398.4A) (Armenian Hamster monoclonal)BioLegendCat#: 313512CyTOF (5μg/ml)
AntibodyAnti-human CD31 (WM59) (Mouse monoclonal)BioLegendCat#: 303102CyTOF (5μg/ml)
AntibodyAnti-human CD103 (B-Ly7) (Mouse monoclonal)Thermo Fisher Scientific/eBioscienceCat#: 14-1038-82CyTOF (5μg/ml)
AntibodyAnti-human CXCR3 (G025H7) (Mouse monoclonal)BioLegendCat#: 353718CyTOF (5μg/ml)
AntibodyAnti-human CXCR5 (RF8B2) (Rat monoclonal)BD BiosciencesCat#: 552032CyTOF (5μg/ml)
AntibodyAnti-human CCR5 (NP-6G4) (Mouse monoclonal)AbcamCat#: ab115738CyTOF (5μg/ml)
AntibodyAnti-human CCR6 (G034E3) (Mouse monoclonal)BioLegendCat#: 353402CyTOF (5μg/ml)
AntibodyAnti-human CD25 (M-A251) (Mouse monoclonal)BD BiosciencesCat#: 555429CyTOF (5μg/ml)
AntibodyAnti-human CD127 (A019D5) (Mouse monoclonal)BioLegendCat#: 351302CyTOF (5μg/ml)
AntibodyAnti-human FOXP3 (PCH101) (Rat monoclonal)Thermo Fisher Scientific/eBioscienceCat#: 14-4776-82CyTOF (5μg/ml)
AntibodyAnti-human GITR (621) (Mouse monoclonal)BioLegendCat#: 311602CyTOF (5μg/ml)
AntibodyAnti-human TGF-B (TW4-2F8) (Mouse monoclonal)BioLegendCat#: 349602CyTOF (5μg/ml)
AntibodyAnti-human IL-10 (JES3-9D7) (Rat monoclonal)BioLegendCat#: 501402CyTOF (5μg/ml)
AntibodyAnti-human TNF-alpha (Mab11) (Mouse monoclonal)BioLegendCat#: 502902CyTOF (5μg/ml)
AntibodyAnti-human IL-6 (MQ2-13A5) (Rat monoclonal)Thermo Fisher Scientific/eBioscienceCat#: 16-7069-85CyTOF (5μg/ml)
AntibodyAnti-human Granzyme B (CLB-GB11) (Mouse monoclonal)AbcamCat#: ab103159CyTOF (5μg/ml)
AntibodyAnti-human
Perforin (B-D48) (Mouse monoclonal)
AbcamCat#: ab47225CyTOF (5μg/ml)
AntibodyAnti-human
CD45-A (HI30) (Mouse monoclonal)
FluidigmCat#: 3089003BCyTOF (5μg/ml)
AntibodyAnti-human
CD45-B, C or D (HI30) (Mouse monoclonal)
BioLegendCat#: 304002CyTOF (5μg/ml)
AntibodyDNA (singlets) Cell-ID Intercalator-IrFluidigmCat#: 201192CyTOF (5μg/ml)
AntibodyCisplatin (Live/Dead)Sigma-AldrichCat#: 479306-1GCyTOF (5μg/ml)
AntibodyAnti-human
CD3-BV510 (UCHT1) (Mouse monoclonal)
BioLegendCat#: 300448FACS (dilution 1:50)
AntibodyAnti-human
CD4-FITC (SK3) (Mouse monoclonal)
eBioscienceCat#: 11-0047-42FACS (dilution 1:100)
AntibodyAnti-human
CD25-PE/Cy7 (2A3) (Mouse monoclonal)
BDCat#: 335789FACS (dilution 1:50)
AntibodyAnti-human
CD127-AF647 (A019D5) (Mouse monolonal)
BioLegendCat#: 351318FACS (dilution 1:50)
AntibodyAnti-human
FOXP3-eF450 (PCH101) (Rat monoclonal)
eBioscienceCat#: 48-4776-42FACS (dilution 1:50)
Chemical compound, drugPhorbol 12-myristate 13-acetate (PMA)Sigma-Aldrich Cat#: P1585
Chemical compound, drugIonomycinSigma-AldrichCat#: I9657
Chemical compound, drugBrefeldin AeBioscienceCat#: 00-4506-51
Chemical compound, drugMonensinBioLegendCat#: 420701
Chemical compound, drugIntracellular Fixation & Permeabilization Buffer SeteBioscienceCat#: 88-8824-00
Chemical compound, drugEQ Four Element Calibration beadsFluidigmCat#: NC1307119
Commercial assay or kitRNeasy mini kitQiagenCat#: 74104
Commercial assay or kitRNeasy Micro KitQiagenCat#: 74004
Commercial assay or kitSMARTer RACE cDNA Amplification kitClontechCat#: 634923
Commercial assay or kitNGSgo-LibrXGenDxCat#: 2342605
Commercial assay or kitNGSgo-IndXGenDxCat#: 2342153
Software, algorithmFlowJo (v.10.2)TreeStar
Software, algorithmMarVishttps://doi.org/10.1186/1471-2105-10-92
Software, algorithmSeurat (v.4.1.1)Massachusetts Institute of Technology (MIT)
Software, algorithmiNEXT (v.3.0.0)https://doi.org/10.1111/2041-210X.12613
Software, algorithmGraphPad Prism (v.7.0)GraphPad
Software, algorithmRTCRhttps://doi.org/10.1093/bioinformatics/btw339
Software, algorithmOLGAhttps://doi.org/10.1093/bioinformatics/btz035

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  1. Gerdien Mijnheer
  2. Nila Hendrika Servaas
  3. Jing Yao Leong
  4. Arjan Boltjes
  5. Eric Spierings
  6. Phyllis Chen
  7. Liyun Lai
  8. Alessandra Petrelli
  9. Sebastiaan Vastert
  10. Rob J de Boer
  11. Salvatore Albani
  12. Aridaman Pandit
  13. Femke van Wijk
(2023)
Compartmentalization and persistence of dominant (regulatory) T cell clones indicates antigen skewing in juvenile idiopathic arthritis
eLife 12:e79016.
https://doi.org/10.7554/eLife.79016