Autoantibody clusters in childhood-onset systemic lupus erythematosus: Insights from a multicenter study with 912 patients.

IF 1.9 4区 医学 Q3 RHEUMATOLOGY Lupus Pub Date : 2025-01-27 DOI:10.1177/09612033251317357
Vitor C Trindade, Eloisa Bonfá, Ana P Sakamoto, Maria T Terreri, Nádia E Aikawa, Fernanda J Fiorot, Ana C Pitta, Verena A Balbi, Carlos N Rabelo, Marco F Silva, Aline G Islabão, Glaucia V Novak, Katia T Kozu, Izabel M Buscatti, Lucia M Campos, Adriana Me Sallum, Ana P Assad, Claudia S Magalhães, Roberto Marini, Adriana R Fonseca, Flavio R Sztajnbok, Maria C Santos, Blanca E Bica, Evaldo G Sena, Ana J Moraes, Teresa C Robazzi, Paulo F Spelling, Iloite M Scheibel, Andre S Cavalcanti, Erica N Matos, Luciano J Guimarães, Flavia P Santos, Luciana M Carvalho, Magda Carneiro-Sampaio, Alexandre A Ferraro, Clovis A Silva
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Abstract

Objective: To identify clusters of autoantibodies in a large cSLE population and to verify possible associations between different autoantibody clusters and the following variables: demographic data, cumulative clinical and laboratory manifestations, disease activity, cumulative damage and mortality. Methods: A cross-sectional study was performed in 27 Pediatric Rheumatology University centers, including 912 cSLE patients. The frequencies of seven selected autoantibodies (anti-dsDNA, anti-Ro/SSA, anti-La/SSB, anti-Sm, anti-RNP, aCL IgM and/or IgG and LA) were used for cluster analysis using the K-means method. Results: Four distinctive antibody clusters were identified. Cluster 1 (n = 322; 35.31%) was characterized by anti-dsDNA (61.18%), low frequency of antiphospholipid antibodies (<10%), and lower frequency of cutaneous, articular manifestation (p < 0.05) and hypocomplementemia (p < 0.001) compared to the other groups. Cluster 2 (n = 158; 17.32%) comprised anti-dsDNA (93.04%), aCL (87.34%) and LA (39.87%) and higher frequencies of thrombocytopenia (p = 0.006) and antiphospholipid syndrome (p < 0.001) than the other clusters. Cluster 3 (n = 177; 19.41%) was characterized by anti-dsDNA (81.36%), anti-Sm (100%) and anti-RNP (44.63%) antibodies, as well as a higher frequency of proteinuria compared to cluster 4 (58.15% vs 56.13% vs 64.00% vs 49.80%, p = 0.031). Cluster 4 (n = 255; 27.96%) consisted of all 7 autoantibodies, with predominance of anti-dsDNA (72.55%), anti-Ro/SSA (89.8%) and anti-La/SSB (45.88%), with no specific clinical pattern, except by higher pulmonary damage (p = 0.017). Conclusions:Our study suggests that, within the context of cSLE, the coexistence of anti-dsDNA with antiphospholipid autoantibodies is linked to an elevated incidence of antiphospholipid syndrome. This association does not coincide with a proportionate increase in the occurrence of nephritis. Conversely, the cluster of anti-dsDNA with anti-Ro/SSA and anti-La/SSB antibodies was associated with pulmonary damage, requiring close surveillance.

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目的在大量系统性红斑狼疮患者中识别自身抗体群,并验证不同自身抗体群与以下变量之间可能存在的关联:人口统计学数据、累积临床和实验室表现、疾病活动、累积损害和死亡率。研究方法在 27 所大学的儿科风湿病学中心进行了一项横断面研究,其中包括 912 名系统性红斑狼疮患者。采用K-means方法对7种选定的自身抗体(抗dsDNA、抗Ro/SSA、抗La/SSB、抗Sm、抗RNP、aCL IgM和/或IgG以及LA)的频率进行聚类分析。结果显示确定了四个不同的抗体群。聚类 1(n = 322;35.31%)的特点是抗dsDNA(61.18%)、抗磷脂抗体频率低(p < 0.05)和低补体血症(p < 0.001)。第二组(n = 158;17.32%)包括抗dsDNA(93.04%)、aCL(87.34%)和LA(39.87%),血小板减少(p = 0.006)和抗磷脂综合征(p < 0.001)的频率高于其他组。与第 4 组相比,第 3 组(n = 177;19.41%)的特征是抗dsDNA(81.36%)、抗 Sm(100%)和抗 RNP(44.63%)抗体,以及较高的蛋白尿频率(58.15% vs 56.13% vs 64.00% vs 49.80%,p = 0.031)。第4群组(n = 255; 27.96%)由所有7种自身抗体组成,其中以抗dsDNA(72.55%)、抗Ro/SSA(89.8%)和抗La/SSB(45.88%)为主,除肺损伤较重外(p = 0.017),无特殊临床模式。结论:我们的研究表明,在cHSLE的背景下,抗dsDNA与抗磷脂自身抗体的共存与抗磷脂综合征发病率的升高有关。这种关联与肾炎发病率的增加并不成正比。相反,抗dsDNA与抗Ro/SSA和抗La/SSB抗体的聚集与肺损伤有关,需要密切监测。
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来源期刊
Lupus
Lupus 医学-风湿病学
CiteScore
4.20
自引率
11.50%
发文量
225
审稿时长
1 months
期刊介绍: The only fully peer reviewed international journal devoted exclusively to lupus (and related disease) research. Lupus includes the most promising new clinical and laboratory-based studies from leading specialists in all lupus-related disciplines. Invaluable reading, with extended coverage, lupus-related disciplines include: Rheumatology, Dermatology, Immunology, Obstetrics, Psychiatry and Cardiovascular Research…
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