Submitted:
08 July 2025
Posted:
08 July 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction

2. Material and Methods
2.1. Characteristics of the Study and the Patients
2.2. Procedure for Evaluation of Serum MPO
2.3. Documentation of of Synovial Fluid Examination
2.4. Procedure for Evaluation of Synovial Tissue
2.5. Disease Activity Indices
2.6. Statistical Analysis
3. Results
3.1. Demographic and Clinical Data About the PsA and GoA Patients and Serum and Synovial MPO Levels in PsA Patients Compared to GoA and Healthy Controls
3.2. Serum and Synovial Fluid MPO Levels
| Parameter | Patients with PsA, n=36 | Patients with GoА n=42 | Controls n=30 |
P |
|---|---|---|---|---|
| MPO serum (M+IQR) ng/mL | 471,56 (0-496) | 221,98 (0-292) | 15,6(0-65) |
*
** |
| MPO synovial Fluid (M+ IQR) ng/mL | 309,56 (0-325.44) | 103,4 (0.0-128.44) | ** |
3.2. Expression of MPO+ Cells on the Synovial Tissue of Patients with PsA and GoA
3.3. Correlation Between the Serum Level and Synovial Fluid Level of MPO with Disease Activity Indices in Patients with PsA
3.4. Creation of Regression Models for Patients with Psoriatic Arthritis Using MPO as an Independent Variable
5. Discussion
6. Conclusions
References
- Ogdie, A.; Weiss, P. The Epidemiology of Psoriatic Arthritis. Rheum Dis Clin North Am. 2015, 41, 545–568. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Olivieri, I.; Padula, A.; D'Angelo, S.; Scarpa, R. Role of trauma in psoriatic arthritis. J Rheumatol. 2008, 35, 2085–2087. [Google Scholar] [CrossRef] [PubMed]
- Sinnathurai, P.; Buchbinder, R.; Hill, C.; Lassere, M.; March, L. Comorbidity in psoriatic arthritis and rheumatoid arthritis. Intern Med J. 2018, 48, 1360–1368. [Google Scholar] [CrossRef] [PubMed]
- Labitigan, M.; Bahče-Altuntas, A.; Kremer, J.M.; Reed, G.; Greenberg, J.D.; Jordan, N.; Putterman, C.; Broder, A. Higher rates and clustering of abnormal lipids, obesity, and diabetes mellitus in psoriatic arthritis compared with rheumatoid arthritis. Arthritis Care Res (Hoboken). 2014, 66, 600–607. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Ko, J.; Kang, H.J.; Kim, D.A.; Kim, M.J.; Ryu, E.S.; Lee, S.; Ryu, J.H.; Roncal, C.; Johnson, R.J.; Kang, D.H. Uric acid induced the phenotype transition of vascular endothelial cells via induction of oxidative stress and glycocalyx shedding. FASEB J. 2019, 33, 13334–13345. [Google Scholar] [CrossRef]
- Atzeni, F.; Alciati, A. Cardiovascular Risk in Systemic Inflammatory Arthritis. J Clin Med Res. 2023, 12. [Google Scholar] [CrossRef]
- Ray, R.S.; Katyal, A. Myeloperoxidase: Bridging the gap in neurodegeneration. Neurosci Biobehav Rev. 2016, 68, 611–620. [Google Scholar] [CrossRef] [PubMed]
- Vanhamme, L.; Zouaoui Boudjeltia, K.; Van Antwerpen, P.; Delporte, C. The other myeloperoxidase: Emerging functions. Arch Biochem Biophys. 2018, 649, 1–14. [Google Scholar] [CrossRef] [PubMed]
- Arnhold, J. The Dual Role of Myeloperoxidase in Immune Response. Int J Mol Sci. 2020, 21, 8057. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Aratani, Y. Myeloperoxidase: Its role for host defense, inflammation, and neutrophil function. Arch Biochem Biophys. 2018, 640, 47–52. [Google Scholar] [CrossRef] [PubMed]
- Klebanoff, S.J. Myeloperoxidase-halide-hydrogen peroxide antibacterial system. J Bacteriol. 1968, 95, 2131–2138. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- van der Veen, B.S.; de Winther, M.P.; Heeringa, P. Myeloperoxidase: molecular mechanisms of action and their relevance to human health and disease. Antioxid Redox Signal. 2009, 11, 2899–2937. [Google Scholar] [CrossRef] [PubMed]
- Schmitt, D.; Shen, Z.; Zhang, R.; Colles, S.M.; Wu, W.; Salomon, R.G.; Chen, Y.; Chisolm, G.M.; Hazen, S.L. Leukocytes utilize myeloperoxidase-generated nitrating intermediates as physiological catalysts for the generation of biologically active oxidized lipids and sterols in serum. Biochemistry. 1999, 38, 16904–16915. [Google Scholar] [CrossRef] [PubMed]
- Gelderman, M.P.; Stuart, R.; Vigerust, D.; Fuhrmann, S.; Lefkowitz, D.L.; Allen, R.C.; Lefkowitz, S.S.; Graham, S. Perpetuation of inflammation associated with experimental arthritis: the role of macrophage activation by neutrophilic myeloperoxidase. Mediators Inflamm. 1998, 7, 381–389. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Ray, R.S.; Katyal, A. Myeloperoxidase: Bridging the gap in neurodegeneration. Neurosci Biobehav Rev. 2016, 68, 611–620. [Google Scholar] [CrossRef] [PubMed]
- Wakui, M. Diagnosis of acute myeloid leukemia according to the WHO classification in the Japan Adult Leukemia Study Group AML-97 protocol. Int. J. Hematol. 2008, 87, 144–151. [Google Scholar] [CrossRef]
- Jin, Z.; Zhou, L.; Tian, R.; Lu, N. Myeloperoxidase Targets Apolipoprotein A-I for Site-Specific Tyrosine Chlorination in Atherosclerotic Lesions and Generates Dysfunctional High-Density Lipoprotein. Chem Res Toxicol. 2021, 34, 1672–1680. [Google Scholar] [CrossRef] [PubMed]
- Ramachandra, C.J.A.; Ja, K.P.M.M.; Chua, J.; Cong, S.; Shim, W.; Hausenloy, D.J. Myeloperoxidase As a Multifaceted Target for Cardiovascular Protection. Antioxid Redox Signal. 2020, 32, 1135–1149. [Google Scholar] [CrossRef] [PubMed]
- Mahat, R.K.; Singh, N.; Rathore, V. Association of myeloperoxidase with cardiovascular disease risk factors in prediabetic subjects. Diabetes Metab Syndr. 2019, 13, 396–400. [Google Scholar] [CrossRef] [PubMed]
- Suszek, D.; Górak, A.; Majdan, M. Differential approach to peripheral blood cell ratios in patients with systemic lupus erythematosus and various manifestations. Rheumatol Int. 2020, 40, 1625–1629. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Telles, R.W.; Ferreira, G.A.; da Silva, N.P.; Sato, E.I. Increased plasma myeloperoxidase levels in systemic lupus erythematosus. Rheumatol Int. 2010, 30, 779–784. [Google Scholar] [CrossRef] [PubMed]
- Cretu, D.; Gao, L.; Liang, K.; Soosaipillai, A.; Diamandis, E.P.; Chandran, V. Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers. Arthritis Care Res (Hoboken). 2018, 70, 454–461. [Google Scholar] [CrossRef] [PubMed]
- Modestino, L.; Tumminelli, M.; Mormile, I.; Cristinziano, L.; Ventrici, A.; Trocchia, M.; Ferrara, A.L.; Palestra, F.; Loffredo, S.; Marone, G.; Rossi, F.W.; de Paulis, A.; Galdiero, M.R. Neutrophil exhaustion and impaired functionality in psoriatic arthritis patients. Front Immunol. 2024, 15, 1448560. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Li, B.; Li, G.; Yang, X.; Song, Z.; Wang, Y.; Zhang, Z. NETosis in Psoriatic Arthritis: Serum MPO-DNA Complex Level Correlates With Its Disease Activity. Front Immunol. 2022, 13, 911347. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Siraki, A.G. The many roles of myeloperoxidase: From inflammation and immunity to biomarkers, drug metabolism and drug discovery. Redox Biol. 2021, 46, 102109. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Barone, F.C.; Hillegass, L.M.; Price, W.J.; White, R.F.; Lee, E.V.; Feuerstein, G.Z.; Sarau, H.M.; Clark, R.K.; Griswold, D.E. Polymorphonuclear leukocyte infiltration into cerebral focal ischemic tissue: myeloperoxidase activity assay and histologic verification. J Neurosci Res. 1991, 29, 336–345. [Google Scholar] [CrossRef] [PubMed]
- Seidl, M.; Weinhold, B.; Jacobsen, L.; Rasmussen, O.F.; Werner, M.; Aumann, K. Critical assessment of staining properties of a new visualization technology: a novel, rapid and powerful immunohistochemical detection approach. Histochem Cell Biol. 2020, 154, 663–669. [Google Scholar] [CrossRef] [PubMed]
- Sabattini, E.; Bisgaard, K.; Ascani, S.; et al. The EnVision + system: a new immunohistochemical method for diagnostics and research. Critical comparison with the APAAP, ChemMateT, CSA, LABC, and SABC techniques. J Clin Pathol. 1998, 51, 506–511. [Google Scholar] [CrossRef]
- Toda, Y.; Kono, K.; Abiru, H.; et al. Application of tyramide signal amplification system to immunohistochemistry: a potent method to localize antigens that are not detectable by ordinary method. Pathol Int. 1999, 49, 479–483. [Google Scholar] [CrossRef]
- Delgado, D.A.; Lambert, B.S.; Boutris, N.; McCulloch, P.C.; Robbins, A.B.; Moreno, M.R.; Harris, J.D. Validation of digital Visual Analog Scale Pain Scoring with a traditional paper-based Visual Analog Scale in adults. J. Am. Acad. Orthop. Surg. Glob. Res. 2018, 2, e088. [Google Scholar] [CrossRef]
- Schoels, M.M.; Aletaha, D.; Alasti, F.; Smolen, J.S. Disease activity in psoriatic arthritis (PsA): Defining 45 remission and treatment success using the DAPSA score. Ann. Rheum. Dis. 2016, 75, 811–818. [Google Scholar] [CrossRef] [PubMed]
- Helliwell, P.S.; FitzGerald, O.; Fransen, J.; Gladman, D.D.; Kreuger, G.G.; Callis-Duffin, K.; McHugh, N.; Mease, P.J.; Strand, V.; Waxman, R. The development of candidate composite disease activity and responder indices for psoriatic arthritis (GRACE project) Ann. Rheum. Dis. 2013, 72, 986–991. [Google Scholar] [CrossRef] [PubMed]
- Mumtaz, A.; Gallagher, P.; Kirby, B.; Waxman, R.; Coates, L.C.; Veale, J.D.; Helliwell, P.; FitzGerald, O. Development of a preliminary composite disease activity index in psoriatic arthritis. Ann. Rheum. Dis. 2011, 70, 272. [Google Scholar] [CrossRef] [PubMed]
- Haringman, J.J.; Gerlag, D.M.; Zwinderman, A.H.; Smeets, T.J.; Kraan, M.C.; Baeten, D.; McInnes, I.B.; Bresnihan, B.; Tak, P.P. Synovial tissue macrophages: a sensitive biomarker for response to treatment in patients with rheumatoid arthritis. Ann Rheum Dis. 2005, 64, 834–838. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Hammitzsch, A.; Ossadnik, A.; Bachmann, Q.; Merwald-Fraenk, H.; Lorenz, G.; Witt, M.; Wiesent, F.; Mühlhofer, H.; Simone, D.; Bowness, P.; Heemann, U.; Arbogast, M.; Moog, P.; Schmaderer, C. Increased interleukin-26 in the peripheral joints of patients with axial spondyloarthritis and psoriatic arthritis, co-localizing with CD68-positive synoviocytes. Front Immunol. 2024, 15, 1355824. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]


| Parameter | Patients with PsA n=36 |
Patients with GoА, n=42 | Controls, n=30 |
P |
|---|---|---|---|---|
| Age (SD) years | 59.02 (4.45) | 60.89 (3.12) | 57.61 (2.12) | >0.05 |
| Disease duration, years (SD) | 11,4 (3,0) | 10,3 (2,8) | >0.05 | |
| Hemoglobin (M + IQR) g/L | 123.85 (100.3–165.6) | 132.63 (105.3–143.6) | 132.63(105.3–43.6) | >0.05 |
| Thrombocytes (M + IQR) N/mm3 | 219,5 (174,0–254,3) | 251,3 (122,0–391,0) | 301,3(156,0–353,0) | >0.05 |
| Leuкocytes (M + IQR) N/mm3 | 7.85 (5.3–11.6) | 6.44 (4.01–10.2) | 763 (4.56–8.2) | >0.05 |
| Creatinine (A + SD) mg/L | 78.7(67.9–123.6) | 91.4 (81.3–135.6) | 79.22 (64.23-90.1) | >0.05 |
| C-reactive protein(M+ IQR) mg/L |
46.43 (10.26–121.2) | 17.85 (10.4–33.6) | 8.22 (4.78-10.4) | * ** |
| ESR | 44.55 (15.67–198.1) | 12.63 (9.91–34.2) | 11.34 (10.7-19.2) | * ** |
| Body mass index | 35.1 (27.1–40.4) | 29.2 (25.5–31.6) | 25.2 (23.7-25.4) | * ** |
| Use of methotrexate 10-15 mg/w Use of leflunomide 20 mg/d |
26 (72,22%) 10 (27,78%) |
- - |
- - |
- |
| Comorbidities 1 | 22 | 14 | 2 | * ** |
| Parameter | Patients with PsA, n=36 | Patients with GoА n=42 | Controls n=30 |
P |
|---|---|---|---|---|
| MPO serum (M+IQR) ng/mL | 362 (211-456) | 177 (159-292) | 100.05(31-111) |
*
** |
| MPO synovial Fluid (M+ IQR) ng/mL | 278 (0.23-1.44) | 150,3 (0.0-0.44) | ** |
| Pearson Correlation | DAPSA | PASDAI | mCPDAI | VAS | МРО -syn.fluid |
МРО serum |
|
|---|---|---|---|---|---|---|---|
| DAPSA | Pearson Correlation | 1 | ,604 | ,541 | ,060* | ,021** | ,034** |
| Sig. (2-tailed) | ,196 | ,080 | ,05 | ,000 | ,000 | ||
| PASDAI | Pearson Correlation | ,604 | 1 | ,881 | ,022* | ,006** | ,024** |
| Sig. (2-tailed) | ,196 | ,762 | 0,01 | ,000 | ,001 | ||
| mCPDAI | Pearson Correlation | ,541 | ,881 | 1 | ,047* | ,056** | ,031** |
| Sig. (2-tailed) | ,080 | ,762 | 0,05 | ,000 | ,001 | ||
| VAS | Pearson Correlation | ,060* | ,022* | ,047* | 1 | ,041** | ,031** |
| Sig. (2-tailed) | ,05 | 0,01 | 0,05 | ,000 | ,001 | ||
| МРО –syn.fluid | Pearson Correlation | ,021** | ,006** | ,056** | ,041** | 1 | ,038** |
| Sig. (2-tailed) | ,000 | ,000 | ,000 | ,000 | ,000 | ||
| МРО serum | Pearson Correlation | ,034** | ,024** | ,031** | ,031** | ,038** | 1 |
| Sig. (2-tailed) | ,000 | ,001 | ,001 | ,001 | ,000 |
| Parameter | EF | GLS (Absolute Value) | LA | LVT SD |
|---|---|---|---|---|
| MPO serum(M+ IQR) ng/mL | Coef = 0.022, p < 0.0001 |
Coef = 0.011, p = 0.003 |
Coef = −0.024, p = 0.031 |
Coef = −0.021, p < 0.0001 |
| MPO synovial Fluid(M+ IQR) ng/mL | Coef = 0.019, p < 0.0001 |
Coef = 0.011, p = 0.003 |
Coef = −0.017, p = 0.038 |
Coef = −0.018, p < 0.0001 |
| VAS mm | - | - | - | - |
| DAPSA | Coef = 0.031, p < 0.0001 |
Coef = 0.018, p = 0.004 |
Coef = −0.022, p = 0.045 |
Coef = −0.03, p < 0.0001 |
| PASDAI | Coef = 0.021, p < 0.0001 |
Coef = 0.017, p = 0.002 |
Coef = −0.031, p = 0.046 |
Coef = −0.02, p < 0.0001 |
| mCPDAI | Coef = 0.038, p < 0.0001 |
Coef = 0.014, p = 0.002 |
Coef = −0.019, p = 0.026 |
Coef = −0.021, p < 0.0001 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).