HETEROGENEITY OF SYSTEMIC LUPUS ERYTHEMATOSUS ELUCIDATED BY CLUSTER ANALYSIS.

1986 ◽  
Vol 13 (4) ◽  
pp. 327-340 ◽  
Author(s):  
V. Stenszky ◽  
L. Kozma ◽  
GY. Szegedi ◽  
I. Sonkoly ◽  
J. C. Bear ◽  
...  
2009 ◽  
Vol 36 (2) ◽  
pp. 416-421 ◽  
Author(s):  
ROMAN JURENCÁK ◽  
MARVIN FRITZLER ◽  
PASCAL TYRRELL ◽  
LINDA HIRAKI ◽  
SUSANNE BENSELER ◽  
...  

Objective.(1) To evaluate the spectrum of serum autoantibodies in pediatric-onset systemic lupus erythematosus (pSLE) with a focus on ethnic differences; (2) using cluster analysis, to identify patients with similar autoantibody patterns and to determine their clinical associations.Methods.A single-center cohort study of all patients with newly diagnosed pSLE seen over an 8-year period was performed. Ethnicity, clinical, and serological data were prospectively collected from 156/169 patients (92%). The frequencies of 10 selected autoantibodies among ethnic groups were compared. Cluster analysis identified groups of patients with similar autoantibody profiles. Associations of these groups with clinical and laboratory features of pSLE were examined.Results.Among our 5 ethnic groups, there were differences only in the prevalence of anti-U1RNP and anti-Sm antibodies, which occurred more frequently in non-Caucasian patients (p < 0.0001, p < 0.01, respectively). Cluster analysis revealed 3 autoantibody clusters. Cluster 1 consisted of anti-dsDNA antibodies. Cluster 2 consisted of anti-dsDNA, antichromatin, antiribosomal P, anti-U1RNP, anti-Sm, anti-Ro and anti-La autoantibody. Cluster 3 consisted of anti-dsDNA, anti-RNP, and anti-Sm autoantibody. The highest proportion of Caucasians was in cluster 1 (p < 0.05), which was characterized by a mild disease with infrequent major organ involvement compared to cluster 2, which had the highest frequency of nephritis, renal failure, serositis, and hemolytic anemia, or cluster 3, which was characterized by frequent neuropsychiatric disease and nephritis.Conclusion.We observed ethnic differences in autoantibody profiles in pSLE. Autoantibodies tended to cluster together and these clusters were associated with different clinical courses.


2014 ◽  
Vol 41 (7) ◽  
pp. 1304-1310 ◽  
Author(s):  
Bahar Artim-Esen ◽  
Erhan Çene ◽  
Yasemin Şahinkaya ◽  
Semra Ertan ◽  
Özlem Pehlivan ◽  
...  

Objective.Associations between autoantibodies and clinical features have been described in systemic lupus erythematosus (SLE). Herein, we aimed to define autoantibody clusters and their clinical correlations in a large cohort of patients with SLE.Methods.We analyzed 852 patients with SLE who attended our clinic. Seven autoantibodies were selected for cluster analysis: anti-DNA, anti-Sm, anti-RNP, anticardiolipin (aCL) immunoglobulin (Ig)G or IgM, lupus anticoagulant (LAC), anti-Ro, and anti-La. Two-step clustering and Kaplan-Meier survival analyses were used.Results.Five clusters were identified. A cluster consisted of patients with only anti-dsDNA antibodies, a cluster of anti-Sm and anti-RNP, a cluster of aCL IgG/M and LAC, and a cluster of anti-Ro and anti-La antibodies. Analysis revealed 1 more cluster that consisted of patients who did not belong to any of the clusters formed by antibodies chosen for cluster analysis. Sm/RNP cluster had significantly higher incidence of pulmonary hypertension and Raynaud phenomenon. DsDNA cluster had the highest incidence of renal involvement. In the aCL/LAC cluster, there were significantly more patients with neuropsychiatric involvement, antiphospholipid syndrome, autoimmune hemolytic anemia, and thrombocytopenia. According to the Systemic Lupus International Collaborating Clinics damage index, the highest frequency of damage was in the aCL/LAC cluster. Comparison of 10 and 20 years survival showed reduced survival in the aCL/LAC cluster.Conclusion.This study supports the existence of autoantibody clusters with distinct clinical features in SLE and shows that forming clinical subsets according to autoantibody clusters may be useful in predicting the outcome of the disease. Autoantibody clusters in SLE may exhibit differences according to the clinical setting or population.


2019 ◽  
Author(s):  
Amanda M Eudy ◽  
Jennifer L Rogers ◽  
David S Pisetsky ◽  
Lisa G Criscione-Schreiber ◽  
Ravyn Njagu ◽  
...  

2019 ◽  
Vol 38 (6) ◽  
pp. 1561-1570 ◽  
Author(s):  
Domenico Paolo Emanuele Margiotta ◽  
Alice Laudisio ◽  
Luca Navarini ◽  
Fabio Basta ◽  
Carmen Mazzuca ◽  
...  

2020 ◽  
Vol 48 (6) ◽  
pp. 030006052092688
Author(s):  
Joonhong Park ◽  
Woori Jang ◽  
Hye Sun Park ◽  
Ki Hyun Park ◽  
Seung-Ki Kwok ◽  
...  

Objective To describe interactions among cytokines and to identify subgroups of systemic lupus erythematosus (SLE) patients based on cytokine levels using principal component analysis and cluster analysis. Methods Levels of 12 cytokines were measured using sensitive multiplex bead assays and associations with SLE features including disease activity and renal involvement were assessed. Results In a group of 203 SLE patients, strong correlations were observed between interleukin (IL)6 and interferon (IFN)γ levels (r = 0.624), IL17 and IFNγ levels (r = 0.768), and macrophage inflammatory protein (MIP)1α and MIP1β levels (r = 0.675). Cluster analysis revealed two distinct patient groups characterized by high levels of IL8, MIP1α, and MIP1β (group 1) or of IL2, IL6, IL10, IL12, IFNγ, and tumor necrosis factor α (group 2). Active disease was more common in group 1 (49/88, 55.7%) than in group 2 (40/115, 34.8%). More patients in group 2 had renal involvement (42/115, 36.5%) than in group 1 (22/88, 25%). Conclusions Assessment of cytokine profiles can identify distinct SLE patient subgroups and aid in understanding clinical heterogeneity and immunological phenotypes.


2014 ◽  
Vol 41 (8) ◽  
pp. 1720-1721 ◽  
Author(s):  
ELISABETH J.M. ZIRKZEE ◽  
CÉSAR MAGRO CHECA ◽  
GERDA M. STEUP-BEEKMAN ◽  
AZITA SOHRABIAN

Lupus ◽  
2009 ◽  
Vol 18 (14) ◽  
pp. 1267-1275 ◽  
Author(s):  
CH To ◽  
CC Mok ◽  
SSK Tang ◽  
SKY Ying ◽  
RWS Wong ◽  
...  

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