Programmed Cell Death Protein-1 Upregulation in Response to SARS-CoV-2 in Juvenile Idiopathic Arthritis: A Case-Control Study
Abstract
:1. Introduction
2. Results
2.1. Baseline Characteristics of the Patients
2.2. Clinical Characteristics of JIA Patients Seropositive and Seronegative for Anti-SARS-CoV-2
2.3. PD-1 Serum Concentration in JIA Patients
2.4. Prevalence of Seropositivity in JIA Patients Depending on Earlier Vaccinations
3. Discussion
4. Materials and Methods
4.1. Study Group
4.2. Detection of Anti-SARS-CoV-2 Antibodies
4.3. Detection of Serum PD-1
4.4. Compliance with Research Ethics Standards
4.5. Statistical Analyses
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Hyrich, K.L.; Machado, P.M. Rheumatic disease and COVID-19: Epidemiology and outcomes. Nat. Rev. Rheumatol. 2021, 17, 71–72. [Google Scholar] [CrossRef] [PubMed]
- Aghbash, P.S.; Eslami, N.; Shamekh, A.; Entezari-Maleki, T.; Baghi, H.B. SARS-CoV-2 infection: The role of PD-1/PD-L1 and CTLA-4 axis. Life Sci. 2021, 270, 119124. [Google Scholar] [CrossRef] [PubMed]
- Clemente, D.; Udaondo, C.; de Inocencio, J.; Nieto, J.C.; del Río, P.G.; Fernández, A.G.; Palomo, J.A.; Bachiller-Corral, J.; Robledillo, J.C.L.; Boteanu, A.; et al. Clinical characteristics and COVID-19 outcomes in a regional cohort of pediatric patients with rheumatic diseases. Pediatr. Rheumatol. Online J. 2021, 19, 162. [Google Scholar] [CrossRef] [PubMed]
- Opoka-Winiarska, V.; Grywalska, E.; Korona-Glowniak, I.; Matuska, K.; Malm, A.; Roliński, J. Seroprevalence of Antibodies against SARS-CoV-2 in Children with Juvenile Idiopathic Arthritis a Case-Control Study. J. Clin. Med. 2021, 10, 1771. [Google Scholar] [CrossRef] [PubMed]
- Cai, L.; Zhang, C.; Wu, J.; Zhou, W.; Chen, T. Decreased PD-1 expression on circulating CD4+T cell and PD-L1 expression on myeloid dendritic cell correlate with clinical manifestations in systemic juvenile idiopathic arthritis. Jt. Bone Spine 2019, 86, 61–68. [Google Scholar] [CrossRef] [PubMed]
- Consolaro, A.; Giancane, G.; Schiappapietra, B.; Davì, S.; Calandra, S.; Lanni, S.; Ravelli, A. Clinical outcome measures in juvenile idiopathic arthritis. Pediatr. Rheumatol. Online J. 2016, 14, 23. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ritchie, H.; Mathieu, E.; Rodés-Guirao, L.; Appel, C.; Giattino, C.; Ortiz-Ospina, E.; Hasell, J.; Macdonald, B.; Beltekian, D.; Roser, M. Coronavirus Pandemic (COVID-19). OurWorldInData.org. Available online: https://ourworldindata.org/coronavirus (accessed on 22 January 2022).
- Haslak, F.; Ozbey, D.; Yildiz, M.; Adrovic, A.; Sahin, S.; Koker, O.; Aliyeva, A.; Guliyeva, V.; Yalcin, G.; Inanli, G.; et al. Asymptomatic SARS-CoV-2 seropositivity: Patients with childhood-onset rheumatic diseases versus healthy children. Clin. Rheumatol. 2022, 41, 1523–1533. [Google Scholar] [CrossRef] [PubMed]
- Walters, H.M.; Mian, Z.; Thomas, L.; Cerise, J.; Eberhard, B.A.; Pagano, E.; Gottlieb, B.S.; Steigerwald, K.; Hui-Yuen, J.S. Seroprevalence and Clinical Outcomes of SARS-CoV-2 in Paediatric Patients with Rheumatic Disease. Rheumatology 2021, 61, SI112–SI119. [Google Scholar] [CrossRef] [PubMed]
- Sengler, C.; Eulert, S.; Minden, K.; Niewerth, M.; Horneff, G.; Kuemmerle-Deschner, J.; Siemer, C.; Berendes, R.; Girschick, H.; Hühn, R.; et al. Clinical manifestations and outcome of SARS-CoV-2 infections in children and adolescents with rheumatic musculoskeletal diseases: Data from the National Paediatric Rheumatology Database in Germany. RMD Open 2021, 7, e001687. [Google Scholar] [CrossRef] [PubMed]
- Francisco, L.M.; Sage, P.T.; Sharpe, A.H. The PD-1 pathway in tolerance and autoimmunity. Immunol. Rev. 2010, 236, 219–242. [Google Scholar] [CrossRef] [PubMed]
- Shenoi, S.; Ou, J.N.; Ni, C.; Macaubas, C.; Gersuk, V.H.; Wallace, C.A.; Mellins, E.D.; Stevens, A.M. Comparison of biomarkers for systemic juvenile idiopathic arthritis. Pediatr. Res. 2015, 78, 554–559. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Petrelli, A.; Mijnheer, G.; Hoytema van Konijnenburg, D.P.; van der Wal, M.; Giovannone, B.; Mocholi, E.; Vazirpanah, N.; Broen, J.C.; Hijnen, D.; Oldenburg, B.; et al. PD-1+CD8+ T cells are clonally expanding effectors in human chronic inflammation. J. Clin. Investig. 2018, 128, 4669–4681. [Google Scholar] [CrossRef] [PubMed]
- Luo, Q.; Ye, J.; Zeng, L.; Luo, Z.; Deng, Z.; Li, X.; Guo, Y.; Huang, Z.; Li, J. Elevated expression of PD-1 on T cells correlates with disease activity in rheumatoid arthritis. Mol. Med. Rep. 2018, 17, 3297–3305. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Curran, C.S.; Gupta, S.; Sanz, I.; Sharon, E. PD-1 immunobiology in systemic lupus erythematosus. J. Autoimmun. 2019, 97, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Petty, R.E.; Southwood, T.R.; Manners, P.; Baum, J.; Glass, D.N.; Goldenberg, J.; He, X.; Maldonado-Cocco, J.; Orozco-Alcala, J.; Prieur, A.-M.; et al. International League of Associations for Rheumatology classification of juvenile idiopathic arthritis: Second revision, Edmonton, 2001. J. Rheumatol. 2004, 31, 390–392. [Google Scholar] [PubMed]
Parameter | JIA (n = 65) | Control (n = 31) | p Value |
---|---|---|---|
Median (Range) | Median (Range) | ||
Age (years) | 11.0 (2.0–17.0) | 10.0 (2.0–18.0) | 0.065 |
ESR (mm/h) | 13.0 (2.0–121) | 8.0 (2.0–30.0) | 0.14 |
CRP (mg/dL) | 0.0 (0.0–7.5) | 0.0 (0.0–1.2) | 1.0 |
Anti-pneumococcal vaccination | 10 (15.4%) | 12 (38.7%) | 0.018 |
Anti-influenza vaccination | 7 (10.8%) | 3 (9.7%) | 1.0 |
Contact with COVID-19 case | 3 (4.6%) | 6 (19.4%) | 0.054 |
Disease activity | ND | ND | |
JADAS 71 | 5.25 (0.0–38.0) | ||
Active joint number | 1.0 (0.0–24.0) | ||
PGA | 2.0 (0.0–7.0) | ||
PhGA | 2.0 (0.0–8.0) | ||
Treatment | ND | ND | |
Conventional synthetic DMARDs | 60 (92,3%) | ||
Methotrexate | 48 (73.9%) | ||
Hydroxychloroquine | 5 (7.7%) | ||
Sulfasalazine | 13 (20.0%) | ||
GC | 14 (21.5) | ||
Biological DMARDs | 33 (50.8%) | ||
Adalimumab | 18 (54.6%) | ||
Etanercept | 11 (33.3%) | ||
Tocilizumab | 4 (12.1%) |
Parameter | JIA (n = 65) | Control (n = 31) | p Value |
---|---|---|---|
Median (Range) | Median (Range) | ||
PD-1 serum concentration (pg/mL) | 17.5 (3.0–112–8) | 16.43 (2.7–48.2) | 0.42 |
IgA anti-SARS-CoV-2 (ratio) | 0.86 (0.07–14.1) | 0.24 (0.07–12.6) | <0.0001 |
Positive anti-SARS-CoV-2 IgA | 19 (29.2%) | 2 (6.5%) | 0.016 |
IgG anti-SARS-CoV-2 (ratio) | 0.16 (0.05–8.8) | 0.11 (0.05–9.3) | 0.0025 |
Positive anti SARS-CoV-2 IgG | 16 (24.6%) | 4 (12.9%) | 0.28 |
Parameter | IgA Anti-SARS-CoV-2 | IgG Anti-SARS-CoV-2 | ||||||
---|---|---|---|---|---|---|---|---|
MIZS | Positive (n = 19) | Negative (n = 46) | Z/RR (95% CI) | p Value | Positive (n = 16) | Negative (n = 49) | Z/RR (95% CI) | p Value |
Age (years) | 12.0 (3–17) | 11.0 (3–17) | −0.28 | 0.78 | 12.0 (4–16) | 11.0 (3–17) | −0.038 | 0.97 |
ESR (mm/h) | 15.0 (2–121) | 12.0 (0–81) | 0.995 | 0.32 | 12.0 (2–61) | 13.0 (2–121) | −0.18 | 0.86 |
CRP (mg/dL) | 0.03 (0–6.75) | 0.0 (0–7.5) | 0.084 | 0.35 | 0.015 (0–2.13) | 0.0 (0–7.5) | −0.13 | 0.89 |
PD-1 (pg/mL) | 25.7 (7.2–112.8) | 15.2 (3.0–87.0) | 2.62 | 0.0089 | 75.9 (7.2–112.8) | 15.2(3.0–57.3) | 3.40 | 0.00067 |
JADAS 71 | 8.85 (0–38) | 5.0 (0–33.1) | 1.12 | 0.26 | 11.0 (0–38) | 5.0 (0–33.1) | 1.60 | 0.11 |
AJN | 1.0 (0–24) | 1.0 (0–13) | 0.64 | 0.52 | 4.5 (0–24) | 1.0 (0–13) | 1.97 | 0.049 |
PGA | 2.0 (0–7) | 2.0 (0–7) | 0.30 | 0.77 | 3.0 (0–7) | 2.0 (0–7) | 1.22 | 0.22 |
PhGA | 2.0 (0–7) | 1.5 (0–8) | 0.64 | 0.52 | 2.5 (0–8) | 1.0 (0–7) | 1.07 | 0.28 |
Therapy | ||||||||
bDMARD | 9 (47.4%) | 24 (52.2%) | 0.9 (0.5–1.6) | 0.79 | 7 (43.8%) | 26 (53.1%) | 0.8 (0.4–1.5) | 0.57 |
Methotrexate | 13(68.4%) | 35 (76.1%) | 0.9 (0.6–1.3) | 0.55 | 12 (75.0%) | 36 (73.5%) | 1.0 (0.7–1.4) | 1.0 |
Hydroxy-chloroquine | 2 (10.5%) | 3 (6.5%) | 1.6 (0.3–8.9) | 0.62 | 4 (25.0%) | 1 (2.0%) | 12.3 (1.5–101.8) | 0.011 |
Sulfasalazine | 8 (42.2%) | 5 (10.9%) | 3.9 (1.5–10.3) | 0.014 | 5 (31.3%) | 8 (16.3%) | 1.9 (0.7–5.0) | 0.28 |
GC | 6 (31.6%) | 8 (17.4%) | 1.8 (0.7–4.5) | 0.32 | 3 (18.8%) | 11 (22.5%) | 0.8 (0.3–2.6) | 1.0 |
Control | Positive (n = 2) | Negative (n = 29) | Z/RR (95% CI) | p Value | Positive (n = 4) | Negative (n = 27) | Z/RR (95% CI) | p Value |
Age (years) | 5.5 (2–9) | 9.0 (1–18) | 0.68 | 0.49 | 3.0 (2–9) | 9.0 (1–18) | 1.2 | 0.22 |
ESR (mm/h) | 12.5 (5–20) | 8.0 (2–30) | −0.44 | 0.66 | 11.5 (4–20) | 8.0 (2–30) | −0.47 | 0.64 |
CRP (mg/dL) | 0 (0) | 0 (0–1.2) | 1.00 | 0.31 | 0.0 (0–0.2) | 0.0 (0–1.2) | 0.65 | 0.52 |
PD-1 (pg/mL) | 42.4 (36.6–48.2) | 16.1 (2.7–45.3) | −2.13 | 0.033 | 42.8 (36.6–48.2) | 13.3 (2.7–30.1) | −3.15 | 0.0016 |
Group | All Subjects (96) | JIA Patients (65) | ||||
---|---|---|---|---|---|---|
Correlation | Spearman R | t(N2) | p Value | Spearman R | t(N2) | p Value |
PD-1 [pg/mL] and IgA anti-SARS-CoV-2 ratio | 0.25 | 2.50 | 0.014 | 0.23 | 1.95 | 0.049 |
PD-1 [pg/mL] and IgG anti-SARS-CoV-2 ratio | 0.32 | 3.26 | 0.0015 | 0.33 | 2.78 | 0.0073 |
PD-1 [pg/mL] and ESR | −0.027 | –0.26 | 0.79 | –0.038 | –0.301 | 0.76 |
PD-1 [pg/mL] and CRP | 0.058 | 0.560 | 0.58 | 0.12 | 0.96 | 0.34 |
PD-1 [pg/mL] and age | –0.045 | –0.43 | 0.67 | –0.063 | –0.50 | 0.62 |
PD-1 [pg/mL] and JADAS 71 | ND | ND | ND | –0.060 | –0.47 | 0.64 |
Parameter | PD-1 | p-Value |
---|---|---|
Median (Range) | ||
Therapy | ||
Patients with bDMARDs (n = 33) | 16.7 (4.2–112.8) | 0.62 |
Without (n = 32) | 18.4 (3.0–106.4) | |
Control (n = 31) | 16.4 (2.7–48.2) | |
Patients with Methotrexate (n = 48) | 19.0 (3.0–112.8) | 0.60 |
Without (n = 17) | 15.1 (5.4–87.0) | |
Control (n = 31) | 16.4 (2.7–48.2) | |
Patients with Hydroxychloroquine (n = 5) | 80.2 (35.3–104.8) | 0.0062 |
Without (n = 60) | 16.4 (3.0–-112.8) | |
Control (n = 31) | 16.4 (2.7–48.2) | |
Patients with Sulfasalazine (n = 13) | 17.5 (7.2–106.4) | 0.69 |
Without (n = 52) | 17.7 (3.0–112.8) | |
Control (n = 31) | 16.4 (2.7–48.2) | |
Patients with GC (n = 16) | 25.3 (8.1–106.4) | 0.066 |
Without (n = 49) | 15.2 (3.0–112.8) | |
Control (n = 31) | 16.4 (2.7–48.2) | |
Disease activity | ||
Patients with JADAS 71 > 1 (n = 41) | 16.6 (3.0–106.4) | 0.13 |
With JADAS 71 ≤ 1 (n = 24) | 25.1 (5.3–112.8) | |
Control (n = 31) | 16.4 (2.7–48.2) |
Parameter | IgA Anti-SARS-CoV-2 | IgG Anti-SARS-CoV-2 | ||||||
---|---|---|---|---|---|---|---|---|
JIA | Positive (n = 19) | Negative (n = 46) | RR (95% CI) | p Value | Positive (n = 16) | Negative (n = 49) | RR (95% CI) | p Value |
Anti-pneumococcal vaccination | 3 (15.8%) | 7 (15.2%) | 1.0 (0.3–3.6) | 1.0 | 2 (12.5%) | 8 (16.3%) | 0.8 (0.2–3.2) | 1.0 |
Anti-influenza vaccination | 1 (5.3%) | 6 (13.0%) | 0.4 (0.05–3.1) | 0.66 | 0 (0) | 7 (14.3%) | - | 0.18 |
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Opoka-Winiarska, V.; Grywalska, E.; Korona-Głowniak, I.; Morawska, I.; Gosik, K.; Malm, A.; Roliński, J. Programmed Cell Death Protein-1 Upregulation in Response to SARS-CoV-2 in Juvenile Idiopathic Arthritis: A Case-Control Study. J. Clin. Med. 2022, 11, 4060. https://doi.org/10.3390/jcm11144060
Opoka-Winiarska V, Grywalska E, Korona-Głowniak I, Morawska I, Gosik K, Malm A, Roliński J. Programmed Cell Death Protein-1 Upregulation in Response to SARS-CoV-2 in Juvenile Idiopathic Arthritis: A Case-Control Study. Journal of Clinical Medicine. 2022; 11(14):4060. https://doi.org/10.3390/jcm11144060
Chicago/Turabian StyleOpoka-Winiarska, Violetta, Ewelina Grywalska, Izabela Korona-Głowniak, Izabela Morawska, Krzysztof Gosik, Anna Malm, and Jacek Roliński. 2022. "Programmed Cell Death Protein-1 Upregulation in Response to SARS-CoV-2 in Juvenile Idiopathic Arthritis: A Case-Control Study" Journal of Clinical Medicine 11, no. 14: 4060. https://doi.org/10.3390/jcm11144060
APA StyleOpoka-Winiarska, V., Grywalska, E., Korona-Głowniak, I., Morawska, I., Gosik, K., Malm, A., & Roliński, J. (2022). Programmed Cell Death Protein-1 Upregulation in Response to SARS-CoV-2 in Juvenile Idiopathic Arthritis: A Case-Control Study. Journal of Clinical Medicine, 11(14), 4060. https://doi.org/10.3390/jcm11144060