Clinical Characteristics of Distinct Subgroups of Patients with Primary Sjögren’s Syndrome Classified by Serological Profiles: A Comparison Study
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design, Setting, and Ethics
2.2. Study Population
2.3. Statistics
3. Results
3.1. Basic Characteristics of Total pSS Patients Included in the Present Study
3.2. Comparison of Clinical Characteristics According to the Presence of Antibodies
4. Discussion
5. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Fox, R.I. Sjögren’s syndrome. Lancet 2005, 366, 321–331. [Google Scholar] [CrossRef]
- Mariette, X.; Criswell, L.A. Primary Sjögren’s syndrome. N. Engl. J. Med. 2018, 378, 931–939. [Google Scholar] [CrossRef]
- Chatzis, L.; Vlachoyiannopoulos, P.G.; Tzioufas, A.G.; Goules, A.V. New frontiers in precision medicine for Sjogren’s syndrome. Expert. Rev. Clin. Immunol. 2021, 17, 127–141. [Google Scholar] [CrossRef]
- García-Carrasco, M.; Ramos-Casals, M.; Rosas, J.; Pallarés, L.; Calvo-Alen, J.; Cervera, R.; Font, J.; Ingelmo, M. Primary Sjögren syndrome: Clinical and immunologic disease patterns in a cohort of 400 patients. Medicine 2002, 81, 270–280. [Google Scholar] [CrossRef]
- Gottenberg, J.E.; Seror, R.; Miceli-Richard, C.; Benessiano, J.; Devauchelle-Pensec, V.; Dieude, P.; Dubost, J.J.; Fauchais, A.L.; Goeb, V.; Hachulla, E.; et al. Serum levels of beta2-microglobulin and free light chains of immunoglobulins are associated with systemic disease activity in primary Sjögren’s syndrome. Data at enrollment in the prospective ASSESS cohort. PLoS ONE 2013, 8, e59868. [Google Scholar] [CrossRef]
- Asmussen, K.; Andersen, V.; Bendixen, G.; Schiødt, M.; Oxholm, P. A new model for classification of disease manifestations in primary Sjögren’s syndrome: Evaluation in a retrospective long-term study. J. Intern. Med. 1996, 239, 475–482. [Google Scholar] [CrossRef]
- Brıto-Zeron, P.; Ramos-Casals, M.; Bove, A.; Sentıs, J.; Font, J. Predicting adverse outcomes in primary Sjögren’s syndrome: Identification of prognostic factors. Rheumatology 2007, 46, 1359–1362. [Google Scholar] [CrossRef]
- Brito-Zerón, P.; Acar-Denizli, N.; Ng, W.F.; Zeher, M.; Rasmussen, A.; Mandl, T.; Seror, R.; Li, X.; Baldini, C.; Ramos-Casals, M.; et al. Sjögren Big Data Consortium. How immunological profile drives clinical phenotype of primary Sjögren’s syndrome at diagnosis: Analysis of 10,500 patients (Sjögren Big Data Project). Clin. Exp. Rheumatol. 2018, 36, 102–112. [Google Scholar]
- Martel, C.; Gondran, G.; Launay, D.; Lalloué, F.; Palat, S.; Lambert, M.; Ly, K.; Loustaud-Ratti, V.; Bezanahary, H.; Hachulla, E.; et al. Active immunological profile is associated with systemic Sjögren’s syndrome. J. Clin. Immunol. 2011, 31, 840–847. [Google Scholar] [CrossRef]
- Fayyaz, A.; Kurien, B.T.; Scofield, R.H. Autoantibodies in Sjögren’s Syndrome. Rheum. Dis. Clin. N. Am. 2016, 42, 419–434. [Google Scholar] [CrossRef]
- Shiboski, C.H.; Shiboski, S.C.; Seror, R.; Criswell, L.A.; Labetoulle, M.; Lietman, T.M.; Rasmussen, A.; Scofield, H.; Vitali, C.; Bowman, S.J.; et al. 2016 American College of Rheumatology/European League against Rheumatism classification criteria for primary Sjögren’s syndrome: A consensus and data-driven methodology involving three international patient cohorts. Ann. Rheum. Dis. 2017, 76, 9–16. [Google Scholar] [CrossRef]
- Carubbi, F.; Alunno, A.; Gerli, R.; Giacomelli, R. Histopathology of salivary glands. Reumatismo 2018, 70, 146–154. [Google Scholar] [CrossRef]
- Jennette, J.C.; Falk, R.J.; Bacon, P.A.; Basu, N.; Cid, M.C.; Ferrario, F.; Flores-Suarez, L.F.; Gross, W.L.; Guillevin, L.; Hagen, E.C.; et al. 2012 revised International Chapel Hill Consensus Conference Nomenclature of Vasculitides. Arthritis Rheum. 2013, 65, 1–11. [Google Scholar] [CrossRef]
- Maleki-Fischbach, M.; Kastsianok, L.; Koslow, M.; Chan, E.D. Manifestations and management of Sjögren’s disease. Arthritis Res. Ther. 2024, 26, 43. [Google Scholar] [CrossRef]
- Balint, G.; Watson Buchanan, W.; Kean, C.A.; Kean, W.; Rainsford, K.D. Sjögren’s syndrome. Inflammopharmacology 2024, 32, 3743. [Google Scholar] [CrossRef]
- Theander, E.; Mandl, T. Primary Sjögren’s syndrome: Diagnostic and prognostic value of salivary gland ultrasonography using a simplified scoring system. Arthritis Care Res. 2014, 66, 1102–1107. [Google Scholar] [CrossRef]
- Nieto-González, J.C.; Ovalles-Bonilla, J.G.; Estrada, E.; Serrano-Benavente, B.; Martínez-Barrio, J.; González-Fernández, C.M.; González-Benítez, R.; Vergara Dangond, C.; Monteagudo, I.; Collado Yurrita, L.; et al. Salivary gland ultrasound is linked to the autoimmunity profile in patients with primary Sjögren’s syndrome. J. Int. Med. Res. 2020, 48, 300060518767031. [Google Scholar] [CrossRef]
- Du, W.; Han, M.; Zhu, X.; Xiao, F.; Huang, E.; Che, N.; Tang, X.; Zou, H.; Jiang, Q.; Lu, L. The Multiple Roles of B Cells in the Pathogenesis of Sjögren’s Syndrome. Front. Immunol. 2021, 8, 12. [Google Scholar] [CrossRef]
- Quartuccio, L.; Baldini, C.; Bartoloni, E.; Priori, R.; Carubbi, F.; Corazza, L.; Alunno, A.; Colafrancesco, S.; Luciano, N.; Giacomelli, R.; et al. Anti-SSA/SSB-negative Sjögren’s syndrome shows a lower prevalence of lymphoproliferative manifestations, and a lower risk of lymphoma evolution. Autoimmun. Rev. 2015, 14, 1019–1022. [Google Scholar] [CrossRef]
- Xiao, Q.; Wu, X.; Deng, C.; Zhao, L.; Peng, L.; Zhou, J.; Zhang, W.; Zhao, Y.; Fei, Y. The potential role of RNA N6-methyladenosine in primary Sjögren’s syndrome. Front. Med. 2022, 16, 9. [Google Scholar] [CrossRef]
- Arvidsson, G.; Czarnewski, P.; Johansson, A.; Raine, A.; Imgenberg-Kreuz, J.; Nordlund, J.; Nordmark, G.; Syvänen, A.C. Multimodal Single-Cell Sequencing of B Cells in Primary Sjögren’s Syndrome. Arthritis Rheumatol. 2024, 76, 255–267. [Google Scholar] [CrossRef]
- Beydon, M.; McCoy, S.; Nguyen, Y.; Sumida, T.; Mariette, X.; Seror, R. Epidemiology of Sjögren syndrome. Nat. Rev. Rheumatol. 2024, 20, 158–169. [Google Scholar] [CrossRef]
- Villon, C.; Orgeolet, L.; Roguedas, A.M.; Misery, L.; Gottenberg, J.E.; Cornec, D.; Jousse-Joulin, S.; Seror, R.; Berthelot, J.M.; Dieude, P.; et al. Epidemiology of cutaneous involvement in Sjögren syndrome: Data from three French pSS populations (TEARS, ASSESS, diapSS). Jt. Bone Spine 2021, 88, 105162. [Google Scholar] [CrossRef]
- Baimpa, E.; Dahabreh, I.J.; Voulgarelis, M.; Moutsopoulos, H.M. Hematologic manifestations and predictors of lymphoma development in primary Sjögren syndrome: Clinical and pathophysiologic aspects. Medicine 2009, 88, 284–293. [Google Scholar] [CrossRef]
- Theander, E.; Henriksson, G.; Ljungberg, O.; Mandl, T.; Manthorpe, R.; Jacobsson, L.T. Lymphoma and other malignancies in primary Sjögren’s syndrome: A cohort study on cancer incidence and lymphoma predictors. Ann. Rheum. Dis. 2006, 65, 796–803. [Google Scholar] [CrossRef]
- Ramos-Casals, M.; Brito-Zerón, P.; Perez-De-Lis, M.; Jimenez, I.; Blanco, M.J.; Bove, A.; Soto, M.J.; Akasbi, M.; Diaz, C.; Sentís, J.; et al. Sjögren syndrome or sjögren disease? The histological and immunological bias caused by the 2002 criteria. Clin. Rev. Allergy Immunol. 2010, 38, 178–185. [Google Scholar] [CrossRef]
- Ramos-Casals, M.; Anaya, J.M.; García-Carrasco, M.; Rosas, J.; Bové, A.; Claver, G.; Diaz, L.A.; Herrero, C.; Font, J. Cutaneous vasculitis in primary Sjögren syndrome: Classification and clinical significance of 52 patients. Medicine 2004, 83, 96–106. [Google Scholar] [CrossRef]
- Bournia, V.K.; Vlachoyiannopoulos, P.G. Subgroups of Sjögren syndrome patients according to serological profiles. J. Autoimmun. 2012, 39, 15–26. [Google Scholar] [CrossRef]
- Gorodetskiy, V.; Probatova, N.; Obukhova, T.; Vasilyev, V. Analysis of prognostic factors in diffuse large B-cell lymphoma associated with rheumatic diseases. Lupus Sci. Med. 2021, 8, e000561. [Google Scholar] [CrossRef]
- Zhong, H.; Liu, S.; Wang, Y.; Xu, D.; Li, M.; Zhao, Y.; Zeng, X. Primary Sjögren’s syndrome is associated with increased risk of malignancies besides lymphoma: A systematic review and meta-analysis. Autoimmun. Rev. 2022, 21, 103084. [Google Scholar] [CrossRef]
Demographic Features | Patients (%) |
---|---|
Age, median (range), years | 54.3 (18–84) |
Gender (female/male) | 378/24 |
Age of diagnosis (mean ± SD) | 48.3 ± 14.8 |
Disease duration, median (range), months | 18 (1–54) |
Clinical features | |
Xerostomia | 372 (92.5%) |
Xerophtalmia | 360 (89.5%) |
Schirmer | |
≤5 mm | 240 (59.7%) |
5–10 mm | 100 (24.8%) |
≥10 mm | 62 (15.4%) |
Focus score ≥ 1 | 220 (94.8%) |
Salivary gland enlargement | 52 (12.9%) |
Arthralgias | 244 (60.6%) |
Arthritis | 64 (15.9%) |
Raynaud’s phenomenon | 16 (3.9%) |
Lymphadenopathy | 36 (8.9%) |
Vasculitis-purpura | 20 (4.9%) |
Interstitial lung disease | 56 (13.9%) |
NSIP | 50/56 (89.2%) |
OP | 1/56 (1.7%) |
UIP | 5/56 (8.9%) |
Neurological involvement | 20 (4.9%) |
Central nervous system involvement | 12/20 (60%) |
Peripheral nervous involvement | 8/20 (40%) |
Autoimmune thyroiditis | 86 (21.3%) |
Primary biliary cholangitis | 10 (2.4%) |
Renal interstitial disease | 2 (0.4%) |
Malignancy | 12 (2.9%) |
Laboratory features | |
ANA positivity | 284 (70.6%) |
RF positivity | 96 (23.8%) |
SSA positivity | 252 (62.6%) |
SSB positivity | 75 (18.6%) |
Quadruple-seropositive | 72 (17.9%) |
Quadruple-seronegative | 85 (21.4%) |
ANA and SSA positivity | 174 (43.2%) |
ESR (mm/h) (mean ± SD) | 35.6 ± 20.7 |
CRP (mg/L) (mean ± SD) | 12.3 ± 3.2 |
Anemia | 76 (18.9%) |
Leukopenia | 42 (10.4%) |
Lymphopenia | 56 (13.9%) |
Thrombocytopenia | 22 (5.4%) |
Cryoglobulinaemia | 3 (0.7%) |
Hypocomplementemia | 20 (4.9%) |
Hypergammaglobulinemia | 48 (11.9%) |
Treatments | |
Corticosteroids | 106 (26.3%) |
Hydroxychloroquine | 387 (96.2%) |
Methotrexate | 28 (6.9%) |
Azathioprine | 18 (4.4%) |
Cyclophosphamide | 4 (0.9%) |
Pilocarpine | 42 (10.4%) |
Feature/Clinical Manifestation | Quadruple-Seropositive n: 72, % | Quadruple-Seronegative n: 85, % | p-Value |
---|---|---|---|
Age, median (range), years | 47.9 (18–72) | 59.2 (20–82) | 0.031 |
Female | 70 (97.2%) | 78 (91.7%) | 0.125 |
Age of diagnosis (mean ± SD) | 42.4 ± 10.8 | 50.3 ± 13.2 | 0.112 |
Xerostomia | 70 (97.2%) | 80 (94.1%) | 0.328 |
Xerophtalmia | 68 (94.0%) | 75 (88.2%) | 0.142 |
Salivary gland enlargement | 20 (27.7%) | 3 (3.5%) | <0.0001 |
Arthralgias | 60 (83.3%) | 22 (25.8%) | <0.0001 |
Arthritis | 32 (44.4%) | 2 (2.3%) | <0.0001 |
Raynaud’s phenomenon | 11 (15.2%) | 0 | <0.0001 |
Lymphadenopathy | 21 (29.1%) | 2 (2.3%) | <0.0001 |
Interstitial lung disease | 28 (38.8%) | 1 (1.1%) | <0.0001 |
Vasculitis | 10 (13.8%) | 3 (3.5%) | <0.0001 |
Neurological involvement | 14 (19.4%) | 1 (1.1%) | <0.0001 |
Autoimmune thyroiditis | 42 (58.3%) | 8 (9.4%) | <0.0001 |
Primary biliary cholangitis | 6 (8.3%) | 1 (1.1%) | 0.023 |
Renal interstitial disease | 2 (2.7%) | 0 | 0.587 |
Malignancy | 5 (6.9%) | 2 (2.3%) | 0.016 |
Cryoglobulinaemia | 3 (4.1%) | 0 | 0.348 |
ESR (mm/h) (mean ± SD) | 43.1 ± 14.3 | 32.6 ± 16.8 | 0.125 |
CRP (mg/L) (mean ± SD) | 10.2 ± 4.4 | 6.3 ± 8.7 | 0.362 |
Anemia | 32 (44.4%) | 10 (11.7%) | <0.0001 |
Leukopenia | 20 (27.7%) | 4 (4.7%) | <0.0001 |
Lymphopenia | 24 (33.3%) | 12 (14.1%) | 0.001 |
Thrombocytopenia | 10 (13.8%) | 2 (2.3%) | 0.001 |
Hypergammaglobulinemia | 34 (47.2%) | 4 (4.7%) | <0.0001 |
Hypocomplementemia | 5 (6.9%) | 8 (9.4%) | 0.352 |
Feature/Clinical Manifestation | Quadruple-Seropositive n: 72, % | Double-Seropositive n: 174, % | p-Value |
---|---|---|---|
Age, median (range), years | 47.9 (18–72) | 54.2 (24–84) | 0.091 |
Female | 70 (97.2%) | 164 (94.2%) | 0.426 |
Age of diagnosis (mean ± SD) | 42.4 ± 10.8 | 52.3 ± 14.2 | 0.021 |
Xerostomia | 70 (97.2%) | 161 (92.5%) | 0.242 |
Xerophtalmia | 68 (94.0%) | 158 (90.8%) | 0.361 |
Salivary gland enlargement | 20 (27.7%) | 22 (12.6%) | 0.113 |
Arthralgias | 60 (83.3%) | 138 (79.3%) | 0.516 |
Arthritis | 32 (44.4%) | 16 (9.1%) | <0.0001 |
Raynaud’s phenomenon | 11 (15.2%) | 5 (2.8%) | <0.0001 |
Lymphadenopathy | 21 (29.1%) | 12 (6.8%) | <0.0001 |
Interstitial lung disease | 28 (38.8%) | 22 (12.6%) | <0.0001 |
Vasculitis | 10 (13.8%) | 5 (2.8%) | <0.0001 |
Neurological involvement | 14 (19.4%) | 5 (2.8%) | <0.0001 |
Autoimmune thyroiditis | 42 (58.3%) | 30 (17.2%) | <0.0001 |
Primary biliary cholangitis | 6 (8.3%) | 4 (2.2%) | 0.001 |
Renal interstitial disease | 2 (2.7%) | 0 | 0.657 |
Malignancy | 5 (6.9%) | 3 (1.7%) | 0.325 |
Cryoglobulinaemia | 3 (4.1%) | 0 | 0.388 |
ESR (mm/h) (mean ± SD) | 43.1 ± 14.3 | 36.4 ± 10.8 | 0.125 |
CRP (mg/L) (mean ± SD) | 10.2 ± 4.4 | 7.6 ± 5.7 | 0.362 |
Anemia | 32 (44.4%) | 24 (13.7%) | <0.0001 |
Leukopenia | 20 (27.7%) | 15 (8.6%) | <0.0001 |
Lymphopenia | 24 (33.3%) | 20 (11.4%) | <0.0001 |
Thrombocytopenia | 10 (13.8%) | 8 (4.5%) | <0.0001 |
Hypergammaglobulinemia | 34 (47.2%) | 14 (8.0%) | <0.0001 |
Hypocomplementemia | 5 (6.9%) | 7 (4.0%) | 0.456 |
Feature/Clinical Manifestation | Double- Seropositive n: 174, % | Quadruple-Seronegative n: 85, % | p-Value |
---|---|---|---|
Age, median (range), years | 54.2 (24–84) | 59.2 (20–82) | 0.162 |
Female | 164 (94.2%) | 78 (91.7%) | 0.386 |
Age of diagnosis (mean ± SD) | 52.3 ± 14.2 | 50.3 ± 13.2 | 0.461 |
Xerostomia | 161 (92.5%) | 80 (94.1%) | 0.345 |
Xerophtalmia | 158 (90.8%) | 75 (88.2%) | 0.526 |
Salivary gland enlargement | 22 (12.6%) | 3 (3.5%) | <0.0001 |
Arthralgias | 138 (79.3%) | 22 (25.8%) | <0.0001 |
Arthritis | 16 (9.1%) | 2 (2.3%) | <0.0001 |
Raynaud’s phenomenon | 5 (2.8%) | 0 | 0.623 |
Lymphadenopathy | 12 (6.8%) | 2 (2.3%) | <0.0001 |
Interstitial lung disease | 22 (12.6%) | 1 (1.1%) | <0.0001 |
Vasculitis | 5 (2.8%) | 3 (3.5%) | 0.568 |
Neurological involvement | 5 (2.8%) | 1 (1.1%) | 0.084 |
Autoimmune thyroiditis | 30 (17.2%) | 8 (9.4%) | 0.032 |
Primary biliary cholangitis | 4 (2.2%) | 1 (1.1%) | 0.021 |
Renal interstitial disease | 0 | 0 | null |
Malignancy | 3 (1.7%) | 2 (2.3%) | 0.612 |
Cryoglobulinaemia | 0 | 0 | null |
ESR (mm/h) (mean ± SD) | 36.4 ± 10.8 | 32.6 ± 16.8 | 0.421 |
CRP (mg/L) (mean ± SD) | 7.6 ± 5.7 | 6.3 ± 8.7 | 0.512 |
Anemia | 24 (13.7%) | 10 (11.7%) | 0.536 |
Leukopenia | 15 (8.6%) | 4 (4.7%) | 0.004 |
Lymphopenia | 20 (11.4%) | 12 (14.1%) | 0.426 |
Thrombocytopenia | 8 (4.5%) | 2 (2.3%) | 0.002 |
Hypergammaglobulinemia | 14 (8.0%) | 4 (4.7%) | 0.004 |
Hypocomplementemia | 7 (4.0%) | 8 (9.4%) | 0.001 |
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. |
© 2024 by the author. 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 (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Bodakçi, E. Clinical Characteristics of Distinct Subgroups of Patients with Primary Sjögren’s Syndrome Classified by Serological Profiles: A Comparison Study. J. Pers. Med. 2024, 14, 967. https://doi.org/10.3390/jpm14090967
Bodakçi E. Clinical Characteristics of Distinct Subgroups of Patients with Primary Sjögren’s Syndrome Classified by Serological Profiles: A Comparison Study. Journal of Personalized Medicine. 2024; 14(9):967. https://doi.org/10.3390/jpm14090967
Chicago/Turabian StyleBodakçi, Erdal. 2024. "Clinical Characteristics of Distinct Subgroups of Patients with Primary Sjögren’s Syndrome Classified by Serological Profiles: A Comparison Study" Journal of Personalized Medicine 14, no. 9: 967. https://doi.org/10.3390/jpm14090967
APA StyleBodakçi, E. (2024). Clinical Characteristics of Distinct Subgroups of Patients with Primary Sjögren’s Syndrome Classified by Serological Profiles: A Comparison Study. Journal of Personalized Medicine, 14(9), 967. https://doi.org/10.3390/jpm14090967