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Adenosine deaminase 2 as a biomarker of macrophage activation syndrome in systemic juvenile idiopathic arthritis
  1. Pui Y Lee1,2,
  2. Grant S Schulert3,4,
  3. Scott W Canna5,
  4. Yuelong Huang2,
  5. Jacob Sundel2,
  6. Ying Li2,
  7. Kacie J Hoyt1,
  8. Rachel B Blaustein2,
  9. Alexandra Wactor2,
  10. Thuy Do3,
  11. Olha Halyabar1,
  12. Margaret H Chang1,
  13. Fatma Dedeoglu1,
  14. Siobhan M Case1,
  15. Esra Meidan1,
  16. Mindy S Lo1,
  17. Robert P Sundel1,
  18. Edward T Richardson6,
  19. Jane W Newburger7,
  20. Michael S Hershfield8,
  21. Mary Beth Son1,
  22. Lauren A Henderson1,
  23. Peter A Nigrovic1,2
  1. 1 Division of Immunology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
  2. 2 Division of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, United States
  3. 3 Division of Rheumatology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
  4. 4 Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
  5. 5 RK Mellon Institute for Pediatric Research, Pittsburg, PA, United States
  6. 6 Department of Pathology, Brigham and Women’s Hospital, Boston, MA, United States
  7. 7 Department of Cardiology, Boston Children's Hospital, Boston, MA, United States
  8. 8 Department of Medicine and Biochemistry, Duke University School of Medicine, Durham, NC, United States
  1. Correspondence to Dr Pui Y Lee, Boston Children s Hospital, Boston, Massachusetts, USA; pui.lee{at}childrens.harvard.edu; Dr Peter A Nigrovic; pnigrovic{at}bwh.harvard.edu

Abstract

Objective Macrophage activation syndrome (MAS) is a life-threatening complication of systemic juvenile idiopathic arthritis (sJIA) characterised by a vicious cycle of immune amplification that can culminate in overwhelming inflammation and multiorgan failure. The clinical features of MAS overlap with those of active sJIA, complicating early diagnosis and treatment. We evaluated adenosine deaminase 2 (ADA2), a protein of unknown function released principally by monocytes and macrophages, as a novel biomarker of MAS.

Methods We established age-based normal ranges of peripheral blood ADA2 activity in 324 healthy children and adults. We compared these ranges with 173 children with inflammatory and immune-mediated diseases, including systemic and non-systemic JIA, Kawasaki disease, paediatric systemic lupus erythematosus and juvenile dermatomyositis.

Results ADA2 elevation beyond the upper limit of normal in children was largely restricted to sJIA with concomitant MAS, a finding confirmed in a validation cohort of sJIA patients with inactive disease, active sJIA without MAS or sJIA with MAS. ADA2 activity strongly correlated with MAS biomarkers including ferritin, interleukin (IL)-18 and the interferon (IFN)-γ-inducible chemokine CXCL9 but displayed minimal association with the inflammatory markers C reactive protein and erythrocyte sedimentation rate. Correspondingly, ADA2 paralleled disease activity based on serial measurements in patients with recurrent MAS episodes. IL-18 and IFN-γ elicited ADA2 production by peripheral blood mononuclear cells, and ADA2 was abundant in MAS haemophagocytes.

Conclusions These findings collectively identify the utility of plasma ADA2 activity as a biomarker of MAS and lend further support to a pivotal role of macrophage activation in this condition.

  • adenosine deaminase 2
  • macrophage activation syndrome
  • biomarker
  • systemic juvenile idiopathic arthritis

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Key messages

What is already known about this subject?

  • Macrophage activation syndrome (MAS) is a life-threatening complication of systemic juvenile idiopathic arthritis (sJIA). Because clinical manifestations of active sJIA and MAS overlap, distinguishing biomarkers are needed for rapid diagnosis and treatment.

What does this study add?

  • We defined the normal range in peripheral blood of the monocyte/macrophage-secreted protein adenosine deaminase 2 (ADA2) in healthy children and adults.

  • We found that ADA2 activity above the upper limit of normal distinguishes MAS in sJIA with high sensitivity and specificity, potentially reflect direct stimulation of monocytes and macrophages by cytokines implicated in MAS.

How might this impact on clinical practice or future developments?

  • Our study demonstrates the utility of peripheral blood ADA2 activity as a direct biomarker of macrophage activation to facilitate rapid diagnosis of MAS in sJIA.

Introduction

Adenosine deaminases (ADA) are a family of enzymes that catalyse the conversion of adenosine to inosine. ADA1 is a ubiquitously expressed intracellular protein that metabolises adenosine and 2′-deoxyadenosine as a crucial step in the purine salvage pathway.1 Deficiency of ADA1 in humans results in defective lymphocyte development and severe combined immunodeficiency.2 In contrast, ADA2 is a plasma protein secreted primarily by monocytes and macrophages.3 4 ADA2 displays much lower substrate affinity compared with ADA1 and its physiological role remains unclear.5 Supporting a non-redundant role of the ADA isoenzymes, deficiency of ADA2 (DADA2) is a recently described autoinflammatory syndrome characterised by childhood-onset stroke, systemic vasculitis, variable immunodeficiency and haematological defects.5–7

In adults, elevated levels of ADA in biological fluids have been described in infections, malignancies, autoimmune diseases and secondary haemophagocytic syndromes.3 8–11 However, many early studies focused on ADA1 and little is known about the biology of ADA2. ADA2 levels are higher in children than adults.7 Whether abnormal ADA2 production is also a hallmark of paediatric inflammatory conditions has not been examined in detail. In this study, we established the normal range of peripheral blood ADA2 activity in healthy children and demonstrated a striking elevation in ADA2 as a sensitive and specific marker of the conversion between active systemic juvenile idiopathic arthritis (sJIA) and sJIA-associated macrophage activation syndrome (MAS), likely reflecting underlying cytokine-driven activation of monocytes and macrophages.

Methods

Human subjects

Informed consent was provided by participants or legal guardians. Plasma or serum were frozen at –80°C and thawed immediately prior to testing. Demographics of patient groups and diagnostic criteria are provided in online supplementary table S1 and supplemental methods, respectively.

Quantification of ADA2 activity

ADA2 activity was measured in human plasma, serum or cell culture supernatant by modifying a previously described automated spectrophotometric assay,12–14 which quantifies the adenosine-dependent generation of ammonia in the presence of a selective inhibitor of ADA1, EHNA (erythro-9-Amino-β-hexyl-α-methyl-9H-purine-9-ethanol hydrochloride). All reagents were purchased from Sigma Aldrich (St. Louis, Missouri, USA), and the kinetics of each reaction were analysed using a Synergy Hybrid H1 Microplate Reader (BioTek, Winooski, Vermont, USA). Additional details are provided in supplementary methods.

ELISA, in vitro stimulation, flow cytometry and confocal microscopy

Please refer to supplementary methods for detailed protocol for these studies.

Statistical analysis

Because ADA2 levels in healthy children were not normally distributed (online supplementary figure 1C), non-parametric tests were used for statistical analysis. The differences between two groups were analysed using the Mann-Whitney U test, while comparison of multiple groups was performed using the Kruskal-Wallis test. For each disease studied, 1:1 age-matched controls were randomly assigned from the pool of healthy controls. All tests were two sided, and p<0.05 was considered significant. For Bonferroni correction of multiple hypothesis testing, α was adjusted to 0.0014 for the correlation matrix. Statistical analyses were performed using Prism 5.0 software (GraphPad Software, La Jolla, California, USA).

Results

​Establishing a reference range of ADA2 activity in healthy children

We first aimed to establish the reference range of plasma ADA2 activity in 324 healthy individuals (174 children and 150 adults). We employed a validated spectrophotometric assay to quantify ADA2 activity in plasma or serum ((online supplementary figure S1A); see Methods). Confirming the specificity of the assay, DADA2 patients with biallelic ADA2 mutations show a near absence of ADA2 activity, whereas carriers have approximately half-normal plasma ADA2 activity (online supplementary figure S1B). The distribution of plasma ADA2 activity in healthy children (under age 18 years) was skewed towards higher levels (online supplementary figure S1C), with a median of 13.0 U/L (IQR 10.6–16.1). The upper limit of normal (ULN), as defined by the 98th percentile, was 27.8 U/L. Comparison of males and females revealed similar ADA2 levels (online supplementary figure S1D).

Consistent with previous studies,7 15 plasma ADA2 activity was higher in children than adults (age 18 years and older, 98th percentile 25.7 U/L), with an overall negative correlation with age (figure 1A). Stratification of healthy children into age categories did not reveal differences in ADA2 levels among groups (figure 1B; p>0.05 for all comparisons). While all paediatric categories showed significantly higher median levels compared with healthy adults, considerable variability was displayed within each age group.

Figure 1

Determination of plasma ADA2 activity in healthy children and adults. (A) Correlation between plasma ADA2 activity and age in healthy children (n=174) and adults (n=150). (B) Violin plot comparing plasma ADA2 activity in healthy individuals stratified by age. *P<0.05 compared with all other groups.

​Evaluation of ADA2 activity in paediatric inflammatory diseases

We compared ADA2 levels in children with various inflammatory conditions with age-matched healthy controls. Demographics of controls and patient groups are provided in online supplementary table S1. We first studied Kawasaki disease (KD), a highly inflammatory childhood vasculitis manifested by skin rash, mucositis, extremity swelling, conjunctivitis and lymphadenopathy. All KD samples were collected during the acute phase of disease, prior to treatment. Compared with healthy controls, patients with KD showed similar ADA2 activity (n=25 per group; figure 2A). Elevated C reactive protein (CRP), erythrocyte sedimentation rate (ESR), and white blood cell count in patients with KD did not correlate with ADA2 levels (online supplementary figure S2A), establishing that ADA2 is not a general marker of systemic inflammation.

Figure 2

Comparison of ADA2 activity levels in childhood inflammatory diseases. (A) Peripheral blood ADA2 levels in patients with KD during the acute phase of illness and age-matched healthy controls (n=25 per group). (B) Peripheral blood ADA2 levels in patients with pSLE (n=14), patients with JDM (n=13) and age-matched healthy controls (n=27). (C) Peripheral blood ADA2 levels in all patients with JIA and age-matched healthy controls (n=63 per group). (D) Peripheral blood ADA2 levels in patients with JIA stratified by disease category based on the ILAR classification. (E) Stratification of plasma ADA2 levels in sJIA patients by disease activity and MAS (training and validation cohorts combined; n=88). (F) ROC curve of ADA2 in distinguishing active sJIA with or without MAS in training, validation and combined patient cohorts. (G) ROC curve of ADA2 in distinguishing active sJIA with or without MAS diagnosed clinically or MAS diagnosed according to the 2016 MAS classification criteria. Median and IQR are displayed in scatter dot plots. ADA2, adenosine deaminase 2; AUC, area under the curve; ERA, enthesitis-related arthritis; ILAR, International League of Associations for Rheumatology; JDM, juvenile dermatomyositis; JIA, juvenile idiopathic arthritis; KD, Kawasaki disease; MAS, macrophage activation syndrome; PsA, psoriatic arthritis; pSLE, paediatric systemic lupus erythematosus; ROC, receiver operating characteristic; sJIA, systemic juvenile idiopathic arthritis; ULN, upper limit of normal.

To examine if ADA2 activity is altered in chronic autoimmune conditions, we studied children with paediatric SLE (pSLE; n=14) and JDM (n=13), most with active disease at the time of sampling (online supplementary table S1). pSLE patients displayed increased plasma ADA2 compared with age-matched controls (figure 2B; 17.6 U/L (13.2–26.8) vs 12.8 U/L (10.5–15.0), p=0.0017), although levels remained predominantly below the ULN. ADA2 levels in patients with JDM (14.9 U/L (12.3–24.4)) were also mildly increased compared with controls (p=0.032) and statistically indistinguishable from pSLE (p=0.50). ADA2 levels did not correlate with markers of disease activity in pSLE (complement C3, C4 and ESR; online supplementary figure S2B) or JDM (aldolase and LDH; online supplementary figure S2C).

​Establishing ADA2 as a marker of MAS in sJIA

We next investigated ADA2 levels in patients with JIA. While most JIA patients showed plasma ADA2 activity comparable to age-matched controls, a small subset displayed levels well above the ULN (figure 2C). JIA can be classified into distinct categories based on the International League of Associations for Rheumatology (ILAR) criteria.16 Stratification by JIA categories revealed ADA2 activity in children with oligoarticular JIA, polyarticular JIA, enthesitis-related arthritis and psoriatic arthritis comparable to healthy controls (figure 2D). All 11 patients with ADA2 levels above the ULN shared the diagnosis of systemic JIA, including 9/10 cases with MAS at the time of sampling.

Distinct from other forms of childhood arthritis, systemic JIA exhibits quotidian fever, lymphadenopathy and systemic inflammation accompanied by variable joint involvement. MAS is a life-threatening complication of sJIA characterised by cytokine storm, haemophagocytosis, cytopaenias, coagulopathy and multiorgan dysfunction. In contrast to the high levels of ADA2 in patients with MAS, most sJIA patients without MAS showed normal levels of ADA2 (figure 2D).

To confirm these findings, we measured ADA2 levels in an independent validation cohort of 58 sJIA patients combined from two other institutions. Consistent with our initial observation, patients with MAS displayed significantly higher levels of ADA2 compared with those without MAS, regardless of sJIA disease activity (online supplementary figure S3A). Combined analysis of both sJIA cohorts showed that ADA2 levels beyond the ULN distinguished cases of MAS and active sJIA with a sensitivity of 86% and specificity of 94% (figure 2E). The utility of ADA2 as a biomarker of MAS was supported by receiver operating characteristic (ROC) curve with area under the curve (AUC) of 0.939 (95% CI 0.87 to 1.00; figure 2F).

The diagnosis of MAS in these patients was determined clinically by the treating physicians. Review of laboratory data revealed that 15 of the 23 cases fulfilled the 2016 Classification Criteria for MAS.17 The remaining cases all had hyperferritinaemia (>684 ng/mL) but either did not meet at least two of the criteria (n=4; ‘No’ group) or met one of the minor criteria but did not have complete laboratory parameters to apply the full criteria (n=4; ‘Partial’ group). Notably, patients who did not meet MAS criteria displayed significantly lower ADA2 levels compared with those who fully or partially met the criteria (online supplementary figure S3B). The performance of ADA2 on ROC was enhanced when the MAS group was filtered for patients fulfilling the formal classification criteria (AUC=0.978; figure 2G).

ADA2 measurements from healthy controls, and all patient groups are displayed in online supplementary file 1 to allow direct comparison. While MAS can also occur with other inflammatory diseases, we did not identify any case of MAS in our KD, SLE or JDM cohorts. Taken together, these data demonstrate the utility of ADA2 as a biomarker for MAS associated with sJIA.

​Comparison of ADA2 with other markers of MAS

Next, we compared ADA2 activity in sJIA patients with serological parameters of inflammation and biomarkers of MAS including ferritin, interleukin (IL)-1818 19 and the interferon γ-inducible chemokine CXCL9,20 combining training and validation cohorts. A correlation matrix was created based on the Spearman r values of the cross comparisons (figure 3A). Individual comparisons showed that ADA2 levels correlated well with ferritin (r=0.532; p<0.0001), IL-18 (r=0.723; p<0.0001) and CXCL9 (r=0.640; p<0.0001; figure 3B). These correlations remained statistically significant after Bonferroni correction. ADA2 activity also correlated well with increased aspartate aminotransferase levels in MAS (online supplementary figure S4A). By contrast, ADA2 activity did not correlate with conventional markers of inflammation including ESR and CRP after adjusting for multiple comparisons (online supplementary figure S4B, C).

Figure 3

Comparison of ADA2 and other biomarkers of MAS. (A) Correlation matrix of ADA2 activity with laboratory parameters in sJIA. Heat-map displays the strength of correlation based on Spearman’s rank correlation coefficient. (B) Correlations of ADA2 with serum ferritin, IL-18 and CXCL9. All patients with sJIA (inactive, active and MAS groups) were included for calculation of Spearman’s rank correlation coefficient. (C–F) Comparison of peripheral blood ferritin, IL-18, CXCL9 and CRP levels in sJIA patient with inactive disease, active disease or MAS. Median and IQR are displayed in scatter dot plots. (G) ROC curves of ferritin, ADA2, IL-18 and CXCL9. (H) Sensitivity (SEN) and specificity (SPE) of MAS biomarkers using the optimised cut-off or upper limit of normal as cut-off. *P<0.05, **p<0.001, ***p<0.0001. ADA2, adenosine deaminase 2; AST, aspartate aminotransferase; AUC, area under the curve; CRP, C reactive protein; ESR, erythrocyte sedimentation rate; MAS, macrophage activation syndrome; ROC, receiver operating characteristic; sJIA, systemic juvenile idiopathic arthritis; ULN, upper limit of normal; WBC, white blood cell count.

Unlike the specific elevation of ADA2 in MAS (figure 2E), ferritin levels were normal in inactive sJIA and displayed a stepwise increase in active sJIA and MAS groups (figure 3C). As described by previous studies,18 19 IL-18 was elevated in the majority of patients with sJIA, including many with inactive disease (figure 3D). Higher levels of IL-18 were observed with active disease, and log-fold increases were seen the MAS group. CXCL9 was significantly elevated in the MAS group compared with the active sJIA group (figure 3E), matching the observations by Bracaglia and colleagues.20 Only a small difference in CXCL9 levels was observed between the inactive and active sJIA groups.

Despite the different patterns displayed by these markers, all of them were sensitive and specific in discriminating MAS from active sJIA (figure 3G). Unlike other markers, ADA2 effectively distinguished MAS from active sJIA using the ULN as cut-off, without the need to optimise the cut-off value (figure 3H online supplementary tables S2 and S3). The recently described ferritin-to-ESR ratio21 also correlated with ADA2 levels and performed well as an MAS biomarker (online supplementary figure 4D-F). In contrast, CRP could differentiate active versus inactive disease in sJIA but performed poorly as a biomarker of MAS (figure 3F).

Because features of MAS including ferritin levels may be influenced by biological therapy,22 we evaluated the relationship between ADA2 activity and treatment choices in MAS. More than half of patients in the combined MAS cohort received IL-1 blockade (anakinra or canakinumab); one patient received tocilizumab, and three patients received combined IL-1 and IL-6 blockade. Overall, we did not find differences in ADA2 activity related to biological therapy (online supplementary figure S4G).

​Longitudinal evaluation of ADA2 in patients with recurrent MAS

Serial samples were available from seven MAS patients, with MAS classification criteria data at each time point. Consistent with our cross-sectional analysis, ADA2 levels were generally higher during confirmed MAS episodes compared with time points without MAS (figure 4A). As illustrated by a patient with recurrent MAS episodes, longitudinal measures of ADA2 activity trended closely with serum ferritin (figure 4B).

Figure 4

Longitudinal analysis of ADA2 levels in patients with sJIA-associated MAS. (A) Display of ADA2 activity measurements from multiple visits in seven sJIA patients with recurrent MAS. Laboratory parameters from each time point were reviewed to determine the presence of MAS based on the 2016 MAS classification criteria. (B) Longitudinal display of ADA2 activity and serum ferritin levels in a patient with recurrent MAS. Arrows indicate confirmed MAS episodes based on the classification criteria. (C) ADA2 activity in patients with inactive and active sJIA (without active MAS) stratified by history of MAS. Median and IQR are displayed in panel C. ADA2, adenosine deaminase 2; MAS, macrophage activation syndrome; sJIA, systemic juvenile idiopathic arthritis; ULN: upper limit of normal.

Notably, patients with recurrent MAS episodes exhibited ADA2 levels near the ULN even in the absence of MAS (figure 4A). Expanding on this observation, we asked whether a history of MAS was associated with differences in ADA2 activity in the inactive and active sJIA groups (without MAS at the time of sampling). Among the 65 patients in these two groups (figure 2E), 21 had a history of at least one MAS episode; these patients collectively displayed significantly higher levels of ADA2 activity compared with the group without a history of MAS (figure 4C; median 17.5 U/L vs 11.8 U/L, p=0.005).

​Mechanism and cellular source of ADA2 production

The pathophysiology of MAS is reminiscent of primary haemophagocytic lymphohistiocytosis, wherein the inability to remove activated leucocytes results in a vicious cycle of reciprocal immune activation by NK/T cells and macrophages.23 Cytokine storm is a hallmark of MAS, and repeated stimulation by Toll-like receptor ligands (TLR) causes excess cytokine production and a MAS-like disease in mice.24 To understand what drives the expression of ADA2 in MAS, we stimulated peripheral blood mononuclear cells (PBMCs) from healthy donors with selected cytokines and TLR ligands. Stimulation with IFNγ, IL-12, IL-18 and TNF-α increased ADA2 activity in the supernatant (figure 5A). Many of these cytokines, especially IFN-γ (as measured by its proxy CXCL9) and IL-18, are highly elevated in MAS.18 20 Combining IL-18 and IFN-γ did not further enhance ADA2 production (online supplementary figure S5A). In contrast, ADA2 levels were not altered by IL-1β, IL-4, IL-6, IL-10, IFN-α or transforming growth factor β (TGF-β). While plasma IL-10 and TGF-β levels were elevated in a subset of patients with MAS and the two cytokines correlated with each other, they did not correlate with ADA2 levels (online supplementary figure S5B, C). Neither M1/M2 polarisation of macrophages nor stimulation with TLR ligands affected ADA2 activity (figure 5A and online supplemental figure S5D), further showing that ADA2 release is closely regulated.

Figure 5

Mechanism and source of ADA2 production in MAS. (A) ADA2 activity in the supernatant of healthy donor PBMC stimulated with cytokines or TLR ligands for 5 days. (B) ADA2 activity in the supernatant of total donor PBMC or monocyte-depleted PBMC following cytokine stimulation for 5 days. Dots represent results from 3 to 5 healthy donors per condition. *P<0.05 compared with unstimulated control (panel A) or compared with whole PBMC (panel B). (C) H&E staining of bone marrow aspirate illustrating the presence of haemophagocytes. (D) Confocal microscopy of ADA2 staining and isotype staining in CD68+ haemophagocytes. ADA2, adenosine deaminase 2; MAS, macrophage activation syndrome; PBMC, peripheral blood mononuclear cell; TLR, Toll-like receptor ligand.

Early studies found that monocytes and macrophages are primary sources of ADA2.3 4 We performed both monocyte depletion and enrichment studies and confirmed that ADA2 production by PBMC was primary derived from monocytes, with or without cytokine stimulation (figure 5B and online supplementary figure S5E). Thus, ADA2 activity represents a functional readout of monocyte/macrophage activation by cytokines implicated in the pathogenesis of MAS.

Haemophagocytosis by activated macrophages is a hallmark histological finding of MAS.23 To investigate whether these tissue macrophages represent a source of ADA2, we performed confocal microscopy of bone marrow from a patient with adult onset Still’s disease and overt MAS. An abundance of haemophagocytes engulfing other leukocytes was evident (H&E staining; figure 5C). Remarkably, by confocal microscopy, haemophagocytes expressing the macrophage marker CD68 revealed particularly strong expression of ADA2 using polyclonal anti-ADA2 antibodies (figure 5D). Isotype staining confirmed the specificity of ADA2 staining, and similar results were found using a monoclonal antibody for ADA2 (figure 5D and online supplementary figure S6). These data support monocytes and macrophages, including haemophagocytes, as likely sources of ADA2 in MAS.

Discussion

MAS is a life-threatening complication that occurs in sJIA and other inflammatory conditions. Unopposed activation of immune cells and excess cytokine production results in a vicious cycle of inflammation that can lead to rapid clinical deterioration. Biomarkers of MAS could assist with early detection and therapeutic monitoring of this dangerous complication. Our study now establishes ADA2 as a novel biomarker of MAS in patients with sJIA.

Hallmark findings of MAS include hyperferritinaemia, cytopaenias, transaminase elevation and coagulopathy. Activation of T cells, NK cells and myeloid cells in MAS is reflected in markers such as soluble IL-2 receptor (CD25), soluble CD163, IL-18 and the IFN-γ-induced chemokines CXCL9 and CXCL10. In two cohorts of sJIA patients, we found that ADA2 levels were largely normal in both inactive and active sJIA as long as MAS was absent. Using the ULN established in healthy children, we found that ADA2 is a sensitive and specific marker that distinguishes MAS from active sJIA. While elevation of ferritin, IL-18 and CXCL9 are all indicative of MAS, cut-off values well above the ULN are required to distinguish MAS from active sJIA.

ADA2 levels are also increased in the setting of certain infections, including HIV and tuberculosis,8 25 perhaps in part due to the production of IL-18 and IFN-γ. While ADA2 is a specific marker of MAS in children with sJIA, it remains to be determined whether it can distinguish MAS from infection. Importantly, ADA2 levels were not increased in acute KD, confirming that ADA2 is not simply a marker of systemic inflammation. ADA2 levels were mildly increased in patients with pSLE and JDM compared with healthy controls. The increased ADA2 levels may reflect abnormal monocyte/macrophage activation and cytokine production associated with these diseases, which can also be complicated by MAS.26–28

The factors that regulate ADA2 production have not been studied.1 4 We showed monocytes to be the major producers of ADA2 in PBMC. Using confocal microscopy, we also showed abundant expression of ADA2 in MAS haemophagocytes. Furthermore, we found that stimulation with a specific panel of cytokines increased the production and release of ADA2. Extremely high levels of these cytokines, especially IL-18 and IFN-γ, provides a potential mechanistic explanation for the elevated plasma ADA2 level in sJIA-associated MAS.28

Whether ADA2 contributes to the pathophysiology of MAS is not clear. The physiological function of ADA2 remains to be determined. Features of inflammatory vasculitis in patients with DADA2 suggests an immunomodulatory function of ADA2 as well as a role in preventing vasculopathy. Depending on context and receptor utilisation, the ADA substrate adenosine can be proinflammatory or anti-inflammatory.29 The reaction product inosine also has immunomodulatory functions.30 The role of adenosine and inosine in MAS is a topic of interest for future study.

In summary, we establish the normal range of peripheral blood ADA2 activity in children and demonstrate that levels above this range are sensitive and specific for MAS associated with sJIA. The monocyte/macrophage origin of ADA2 and induction by IL-18 and IFN-γ lend further support to the key role of macrophage activation in this life-threatening complication of sJIA.

Acknowledgments

We would like to thank the patients and volunteers for participation. We would like to thank N Ganson and S Kelly for

assistance with developing the spectrophotometric assay for adenosine deaminase 2 activity.

References

Footnotes

  • Handling editor Josef S Smolen

  • Contributors PL and PAN conceived and designed the study. PL, YH, JS, YL, RB, AW and TD performed the experiments and acquired data. PL, GS, SC, KJH, OH, MHC, FD, EM, MSL, RS, ETR, JN, MBS, LAH and PAN recruited patients and collected samples. MSH provided the method for measuring ADA2 activity and in some cases confirmed results. PL, JS, YL and PAN analysed the data. PYL and PAN drafted the manuscript and all authors edited the manuscript.

  • Funding This work was supported by the National Institute of Health/National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) K08-AR074562 (PL), K08-AR072075 (GSS), R01-AR065538, R01-AR073201, R01-AR075906 and P30-AR070253 (PAN), a Rheumatology Research Foundation Investigator Award (PL), a Boston Children’s Hospital Faculty Career Development Award (PL) and the Fundación Bechara and the Arbuckle Family Fund for Arthritis Research (PAN).

  • Competing interests None declared.

  • Patient and public involvement statement This research was done without direct patient involvement beyond sample collection. Patients

    did not participate in designing the study, analyzing the data, or drafting the manuscript.

  • Patient consent for publication Not required.

  • Ethics approval These studies were approved by the Institutional Review Boards at Boston Children’s Hospital (P00005723), Cincinnati Children’s Hospital Medical Center (2016-2234), University of Pittsburg (PRO16120025) and Brigham and Women’s Hospital (P000664). Informed consent was provided by participants or legal guardians.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement All data relevant to the study are included in the article or uploaded as supplementary information.

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