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Article

14-3-3η Protein as a Potential Biomarker in Juvenile Idiopathic Arthritis

1
Division of Adult & Pediatric Rheumatology, Saint Louis University School of Medicine & SSM Health Cardinal Glennon Children’s Hospital, Saint Louis, MO 63104, USA
2
Quest Diagnostics Nichols Institute, San Juan Capistrano, CA 92675, USA
*
Author to whom correspondence should be addressed.
Submission received: 17 November 2020 / Revised: 5 December 2020 / Accepted: 30 December 2020 / Published: 25 January 2021

Abstract

:
The 14-3-3η (eta) protein was evaluated as a biomarker in a cohort of patients with juvenile idiopathic arthritis (JIA), as well as disease- and healthy-controls, to determine its potential clinical utility. In this case-control study, levels of 14-3-3η protein were evaluated in archival specimens from patients with JIA, systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA), as well as healthy pediatric controls. Just over 200 patients were evaluated, using specimens banked between 1990 and 2011. Comparisons were made to complete blood cell count (CBC), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF), anti-cyclic citrullinated peptide (anti-CCP) antibodies, and anti-nuclear antibody (ANA) positivity. 14-3-3η at levels 0.2 ng/mL or higher was considered positive. Fisher’s exact tests, odds ratios, 95% confidence intervals, and p-values were reported. 14-3-3η positivity was seen in all included JIA subtypes. The rate of positivity was the highest in RF-positive (pos) polyarticular JIA. In the disease and healthy controls, lower rates of positivity were observed. The frequency of 14-3-3η positivity among RF-positive and RF-negative (neg) polyarticular JIA patients, especially at values ≥0.5 ng/mL (associated with poor outcomes in adults), was also highest. Several JIA patients with 14-3-3η positivity developed RF and anti-CCP positivity later in their disease. Significant levels of 14-3-3η can be found in approximately 30% of RF-pos and RF-neg patients with polyarticular JIA. This protein may represent a new biomarker for polyarticular JIA, particularly RF-neg polyarticular JIA.

1. Introduction

JIA is the most common rheumatic disease of childhood, yet disease-specific diagnostic biomarkers are not available [1]. While various biomarkers have been evaluated in JIA, including rheumatoid factor (RF), anti-cyclic citrullinated peptide (anti-CCP) antibodies, anti-nuclear antibodies (ANA), and anti-carbamylated proteins (anti-CarP), none provide robust diagnostic utility [2,3,4,5,6,7,8]. A biomarker specific to JIA disease activity could minimize diagnostic delay and complications, and ultimately improve outcomes.
The 14-3-3η protein has been evaluated for diagnostic potential in adult inflammatory arthritides, but its utility in juvenile idiopathic arthritis (JIA) is not known. 14-3-3 proteins are chaperonins found in all eukaryotic cells, and multiple isoforms are involved in several intracellular functions. Our prior investigations of 14-3-3η revealed positivity in a small JIA cohort [9,10,11]. Other work has implicated the η isoform, found in synovium, as having diagnostic potential in inflammatory arthritides [9,12]. Elevated serum 14-3-3η improves diagnostic sensitivity in adult RA when combined with RF and anti-CCP, and may play a role in upregulating proinflammatory cytokines in the RA joint [13,14]. Here we evaluated a larger cohort of patients with JIA, as well as controls, to determine the clinical significance of 14-3-3η in JIA.

2. Experimental Section

In this case-control study, 14-3-3η protein was measured in archived sera from children with JIA, specifically rheumatoid factor (RF)-positive (pos) polyarticular, RF-negative (neg) polyarticular, oligoarticular, and systemic-onset (SO) subtypes. Controls included adults with RA and systemic lupus erythematosus (SLE), and healthy children. Subjects were classified by American College of Rheumatology and International League of Associations for Rheumatology criteria.
Archived specimens were collected and banked at Saint Louis University School of Medicine between 1990 and 2011. 14-3-3η evaluations were performed at the Quest Diagnostics Nichols Institute (San Juan Capistrano, CA, USA) in a blinded fashion using an enzyme-linked immunosorbent assay (ELISA) [13].
Data analysis was conducted in 2017–2018. Patient sex, age, and diagnosis were obtained by chart extraction, as were values for complete blood cell count (CBC), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), complement C3 (C3), RF, anti-CCP, and ANA. Disease activity scores were not available.
A 14-3-3η level at ≥0.2 ng/mL was considered positive, based on adult data, as pediatric reference ranges have not been established [13]. Values of ≥0.5 ng/mL were also analyzed, since values of ≥0.5 ng/mL are a poor prognostic indicator in adults [12].
Fisher’s exact tests were used to evaluate association of JIA diagnosis and sex with 14-3-3η positivity. Odds ratios (ORs), 95% confidence intervals (CIs), and p-values (p) were reported. Spearman’s rank correlation was used to assess associations between 14-3-3η values and age, along with other laboratory values. Cochran-Armitage test for trend, Welch Two Sample t-test, ANOVA, and Tukey’s Honest Significant Difference were used to complete sub-analysis of age, RF, and 14-3-3η (supplemental materials). Statistical calculations were made in R using R Core Team (2017), R Foundation for Statistical Computing, Vienna, Austria.
This study was approved by the Institutional Review Board of Saint Louis University School of Medicine (#3017 Immune Complexes in Juvenile Idiopathic Arthritis and other Connective Tissue Diseases). All study procedures were performed in accordance with the ethical standards of this board as well as the Declaration of Helsinki.

3. Results

Demographic characteristics are displayed in Table 1, and results of the 14-3-3η analyses are in Table 2. The highest level of positivity was noted in polyarticular JIA, the lowest in healthy controls.
Comparisons of 14-3-3η levels between disease groups and controls were made for both 0.2 ng/mL and 0.5 ng/mL thresholds (Table 3 and Table 4). The odds of 14-3-3η ≥ 0.5 ng/mL being linked to polyarticular JIA were 2.9 [1.0,9.0] fold greater than observed in adult SLE controls (p = 0.037) (Table 4). Although no other statistically significant associations were noted, children with JIA (both RF-pos and -neg) also had higher odds of having a 14-3-3η level ≥0.5 ng/mL than healthy controls (OR 7.1 [1.0,319], p = 0.056).
Positive proportions of 14-3-3η were greater in polyarticular JIA patients than for all other groups, regardless of threshold (excepting RA ≥ 0.2 ng/mL). Despite this trend in association, not all comparisons achieved levels of significance.
There was no correlation observed between 14-3-3η values or 14-3-3η positivity and age, white blood cell count, hemoglobin, hematocrit, platelet count, CRP, C3, or ESR, but full lab datasets were not available for all patients (Table 5 and Table 6, Figure 1).
Additional analyses revealed that older subjects appeared to have higher proportion of RF positivity, but it did not appear to be significant. ANOVA revealed that among 14-3-3η-pos subjects there was a difference in age based on RF status (p = 0.02). Further, a multiple comparison analysis suggested that the 14-3-3η-pos/RF-pos subjects were on average 8 years older than the 14-3-3η-neg/RF-neg subjects (p = 0.04). RF-pos subjects were approximately 10 years older than RF-neg subjects (p = 0.01), whereas 14-3-3η was not associated with age when controlling for RF status (p = 0.06). Details of these analyses are available in the supplemental materials.

4. Discussion

In this study, we demonstrated 14-3-3η positivity in JIA subgroups and disease- and healthy-controls. Adult RA was chosen as a control group because of its known association of 14-3-3η positivity, and adult SLE because the positivity rate is low. The highest frequency of 14-3-3η positivity (about 30%) was noted in the polyarticular JIA groups. There was a statistical difference between polyarticular JIA groups vs adult SLE controls, indicating an association between 14-3-3η and polyarticular JIA. Several other trends were noted in the polyarticular JIA groups vs controls, which suggests further association with 14-3-3η.
While the ultimate clinical significance of 14-3-3η in polyarticular JIA patients remains unclear, elevated 14-3-3η levels could indicate higher risk of aggressive disease, as do RF and anti-CCP antibodies [12,13,14]. Since 14-3-3η appears to be associated with erosive disease in adult RA and psoriatic arthritis, it is worth investigating a similar association in JIA. We did not evaluate for joint erosion in this study but did see some association between 14-3-3η and erosions in JIA patients in our previous cohort [10].
We observed 14-3-3η positivity (≥0.5 ng/mL) rates of 28% in RF-pos polyarticular JIA, 28% in RF-neg polyarticular, and 28% in combined RF-pos and-neg vs 5% in healthy controls. Despite not achieving statistical significance, the result could indicate a possible association of 14-3-3η with polyarticular JIA.
Interestingly, five of eight RF-neg polyarticular patients who were 14-3-3η positive subsequently developed RF and anti-CCP antibody positivity. The SO JIA patient positive for 14-3-3η also developed RF later. These examples suggest that 14-3-3η develops in some JIA patients prior to RF or anti-CCP and so may portend future disease.
Limitations of this study include small sample sizes, which limited the statistical significance of our comparisons. Controls were limited based on availability of banked serum for healthy children, and adults with SLE and RA. Another limitation was due to retrospective collection of laboratory data sets, which were occasionally incomplete. Further, we did not evaluate treatment prior to blood sampling. 14-3-3η has been shown to be a modifiable biomarker with treatment in adult rheumatoid arthritis [12]. Treatment may have normalized 14-3-3η in some cases.
14-3-3η protein levels ≥0.5 ng/mL can be found in almost 30% of RF-pos and RF-neg polyarticular JIA patients. It appears to be present less often in other JIA subtypes and in controls. It may represent a novel biomarker for polyarticular JIA patients, with evidence suggesting that it may predict the seroconversion to RF or anti-CCP positivity. Larger longitudinal studies are required to more fully define the utility of measuring 14-3-3η in children with JIA.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/2036-7503/13/1/8/s1.

Author Contributions

Conceptualization, A.D., P.T., L.F., S.N. and T.M.; methodology, O.Z., R.L., J.P. and S.N.; software, R.L.; validation, R.L. and S.N.; formal analysis, R.L.; investigation, O.Z. and J.P.; resources, S.N. and T.M.; data curation, R.L.; writing—original draft preparation, A.D., R.L.; writing—review and editing, A.D., P.T., L.F., O.Z., R.L., J.P., S.N. and T.M.; visualization, A.D., P.T. and R.L.; supervision, S.N. and T.M.; project administration, A.D., S.N. and T.M.; funding acquisition, T.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Juvenile Arthritis Research Fund of Saint Louis.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Saint Louis University School of Medicine (protocol #3017, approved Sept 2020).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available in the article and supplementary materials.

Acknowledgments

The authors thank Robert Bridgforth for his technical assistance and Gary Williams for his collection & analysis of the data.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

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Figure 1. Correlation plots for all 14-3-3η values (a) and positive 14-3-3η values (b) vs. age, WBC, Hgb, Hct, Plt, CRP, C3, and ESR.
Figure 1. Correlation plots for all 14-3-3η values (a) and positive 14-3-3η values (b) vs. age, WBC, Hgb, Hct, Plt, CRP, C3, and ESR.
Pediatrrep 13 00008 g001
Table 1. Demographic data by patient group.
Table 1. Demographic data by patient group.
GroupFemale/Male, NAverage Age * (SD)
RF+ polyarticular 25/415 (+/−8)
RF- polyarticular 23/612 (+/−7)
Oligoarticular32/29 (+/−7)
Systemic Onset8/49 (+/−5)
Adult SLE53/746 (+/−15)
Adult RA11/855 (+/−17)
Healthy Controls17/37 (+/−5)
RF = rheumatoid factor, SLE = systemic lupus erythematosus, RA = rheumatoid arthritis, SD = standard deviation.* in years at time of banked serum draw.
Table 2. Values of 14-3-3η by group.
Table 2. Values of 14-3-3η by group.
Group≥0.2 ng/mL
(% [95% CI])
≥0.5 ng/mL
(% [95% CI])
NegN
RF+ polyarticular10 (34 [18,54])8 (28 [13,47])1129
RF- polyarticular9 (31 [15,51])8 (28 [13,47])1229
Oligoarticular6 (18 [7,34])5 (15 [5,31])2334
Systemic Onset2 (17 [2,48])1 (8 [0,38])912
Disease Controls
SLE14 (23 [13,36])7 (12 [5,23])3960
RA7 (37 [16,62])5 (26 [9,51])719
Healthy Controls3 (15 [3,38])1 (5 [0,25])1620
RF = rheumatoid factor, SLE = systemic lupus erythematosus, RA = rheumatoid arthritis, CI = confidence interval, Neg = negative (<0.2) for 14-3-3η.
Table 3. Two-Group comparisons of 14-3-3η test results using the 0.2 ng/mL cutoff.
Table 3. Two-Group comparisons of 14-3-3η test results using the 0.2 ng/mL cutoff.
Test GroupReference GroupOR (95% CI)p Value
RF+ polyarticular Systemic Onset2.6 (0.4,28.7)0.452
Oligoarticular2.4 (0.7,9.6)0.154
Adult SLE1.7 (0.6,5.0)0.312
Adult RA0.9 (0.2,3.6)1.000
Healthy Controls2.9 (0.6,19.3)0.191
RF- polyarticular Systemic Onset2.2 (0.4,24.8)0.457
Oligoarticular2.1 (0.6,8.3)0.247
Adult SLE1.5 (0.5,4.4)0.450
Adult RA0.8 (0.2,3.2)0.759
Healthy Controls2.5 (0.5,16.7)0.313
RF all polyarticular Systemic Onset2.4 (0.4,24.8)0.325
Oligoarticular2.3 (0.7,7.8)0.148
Adult SLE1.6 (0.7,3.9)0.307
Adult RA0.8 (0.3,2.9)0.784
Healthy Controls2.7 (0.7,16.3)0.158
RF = rheumatoid factor, SLE = systemic lupus erythematosus, RA = rheumatoid arthritis, OR = odds ratio, CI = confidence interval.
Table 4. Two-Group comparisons of 14-3-3η test results using the 0.5 ng/mL cutoff.
Table 4. Two-Group comparisons of 14-3-3η test results using the 0.5 ng/mL cutoff.
Test GroupReference GroupOR (95% CI)p Value
RF+ polyarticular Systemic Onset4.1 (0.4,202.4)0.240
Oligoarticular2.2 (0.5,9.8)0.230
Adult SLE2.8 (0.8,10.5)0.075
Adult RA1.1 (0.2,5.0)1.000
Healthy Controls7.0 (0.8,337.1)0.064
RF- polyarticular Systemic Onset4.1 (0.4,202.4)0.240
Oligoarticular2.2 (0.5,9.8)0.230
Adult SLE2.8 (0.8,10.5)0.075
Adult RA1.1 (0.2,5.0)1.000
Healthy Controls7.0 (0.8,337.1)0.064
RF all polyarticularSystemic Onset4.1 (0.5,191.3)0.269
Oligoarticular2.2 (0.7,8.5)0.202
Adult SLE2.9 (1.0,9.0)0.037
Adult RA1.1 (0.3,4.4)1.000
Healthy Controls7.1 (1.0,318.8)0.056
RF = rheumatoid factor, SLE = systemic lupus erythematosus, RA = rheumatoid arthritis, OR = odds ratio, CI = confidence interval.
Table 5. Spearman’s Rank Correlation (ρ) for All 14-3-3η.
Table 5. Spearman’s Rank Correlation (ρ) for All 14-3-3η.
14-3-3ηAgeWBCHgbHctPltCRPC3ESR
14-3-3η10.05
(p = 0.5)
−0.10
(0.3)
0.13
(0.2)
0.06
(0.6)
−0.10
(0.3)
0.02
(0.8)
0.11
(0.4)
0.04
(0.6)
Age 1−0.410.380.44−0.46−0.370.15−0.20
WBC 1−0.30−0.280.550.26NA0.30
Hgb 10.92−0.44−0.32NA−0.46
Hct 1−0.43−0.32NA−0.38
Plt 10.31NA0.41
CRP 10.090.59
C3 10.04
ESR 1
Table 6. Spearman’s Rank Correlation (ρ) for Positive 14-3-3η.
Table 6. Spearman’s Rank Correlation (ρ) for Positive 14-3-3η.
14-3-3ηAgeWBCHgbHctPltCRPC3ESR
14-3-3η1−0.06
(p = 0.7)
−0.34
(0.09)
0.36
(0.07)
0.22
(0.3)
−0.31
(0.1)
0.27
(0.07)
0.33
(0.3)
−0.12
(0.4)
Age 1−0.450.280.36−0.68−0.37−0.060.01
WBC 1−0.55−0.430.620.01NA0.38
Hgb 10.86−0.54−0.14NA−0.49
Hct 1−0.53−0.25NA−0.34
Plt 10.15NA0.56
CRP 10.390.30
C3 1−0.18
ESR 1
WBC = white blood cell count, Hgb = hemoglobin, Hct = hematocrit, Plt = platelets, CRP = C-reactive protein, C3 = complement C3, ESR = erythrocyte sedimentation rate, NA = not available.
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Dalrymple, A.; Tuttle, P.; Feller, L.; Zhukov, O.; Lagier, R.; Popov, J.; Naides, S.; Moore, T. 14-3-3η Protein as a Potential Biomarker in Juvenile Idiopathic Arthritis. Pediatr. Rep. 2021, 13, 65-71. https://0-doi-org.brum.beds.ac.uk/10.3390/pediatric13010008

AMA Style

Dalrymple A, Tuttle P, Feller L, Zhukov O, Lagier R, Popov J, Naides S, Moore T. 14-3-3η Protein as a Potential Biomarker in Juvenile Idiopathic Arthritis. Pediatric Reports. 2021; 13(1):65-71. https://0-doi-org.brum.beds.ac.uk/10.3390/pediatric13010008

Chicago/Turabian Style

Dalrymple, Austin, Paul Tuttle, Lance Feller, Olga Zhukov, Robert Lagier, Joanna Popov, Stanley Naides, and Terry Moore. 2021. "14-3-3η Protein as a Potential Biomarker in Juvenile Idiopathic Arthritis" Pediatric Reports 13, no. 1: 65-71. https://0-doi-org.brum.beds.ac.uk/10.3390/pediatric13010008

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