通过在免疫标志物中应用关节维度和聚类方法来识别系统性自身免疫性疾病的异质亚组
Identifying heterogeneous subgroups of systemic autoimmune diseases by applying a joint dimension reduction and clustering approach to immunomarkers
影响因子:6.10000
分区:生物学3区 / 数学与计算生物学3区
发表日期:2024 Sep 16
作者:
Chia-Wei Chang, Hsin-Yao Wang, Wan-Ying Lin, Yu-Chiang Wang, Wei-Lin Lo, Ting-Wei Lin, Jia-Ruei Yu, Yi-Ju Tseng
摘要
系统性自身免疫性疾病（SADS）的高复杂性阻碍了精确的管理。这项研究旨在研究SAD中的异质性。我们应用了联合聚类分析，该分析将多个对应分析和K-均值连接到免疫标记物上，并通过检查免疫标志物和临床表现的差异来测量簇的异质性。接受抗核抗体测试并被诊断出患有SAD的患者的电子健康记录，即全身性红斑狼疮（SLE），类风湿关节炎（RA）和Sjögren综合征（SS），在2001年至2016年之间从Taiwan.with.withnstrant的模式中取回了3.2.16之间的三种差异。分为六个集群。这些集群都不仅由单个SAD组成，这些簇在临床表现方面表现出很大的差异。两位SLE和SS患者在六个簇中的分布都更加分散。在SLE的患者中，在3和6（52％和51％）中，肾脏折衷的发生比其他簇高（P <0.001）。簇3的盘状狼疮患者比例为6（39％; p <0.001）。 Patients with SS in Cluster 3 were the most distinctive because of the high occurrence of immunity disorders (63%) and other and unspecified benign neoplasm (58%) with statistical significance compared with the other clusters (all p < 0.05).The immunomarker-driven clustering method could recognise more clinically relevant subgroups of the SADs and would provide a more precise diagnosis basis.
Abstract
The high complexity of systemic autoimmune diseases (SADs) has hindered precise management. This study aims to investigate heterogeneity in SADs.We applied a joint cluster analysis, which jointed multiple correspondence analysis and k-means, to immunomarkers and measured the heterogeneity of clusters by examining differences in immunomarkers and clinical manifestations. The electronic health records of patients who received an antinuclear antibody test and were diagnosed with SADs, namely systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and Sjögren's syndrome (SS), were retrieved between 2001 and 2016 from hospitals in Taiwan.With distinctive patterns of immunomarkers, a total of 11,923 patients with the three SADs were grouped into six clusters. None of the clusters was composed only of a single SAD, and these clusters demonstrated considerable differences in clinical manifestation. Both patients with SLE and SS had a more dispersed distribution in the six clusters. Among patients with SLE, the occurrence of renal compromise was higher in Clusters 3 and 6 (52% and 51%) than in the other clusters (p < 0.001). Cluster 3 also had a high proportion of patients with discoid lupus (60%) than did Cluster 6 (39%; p < 0.001). Patients with SS in Cluster 3 were the most distinctive because of the high occurrence of immunity disorders (63%) and other and unspecified benign neoplasm (58%) with statistical significance compared with the other clusters (all p < 0.05).The immunomarker-driven clustering method could recognise more clinically relevant subgroups of the SADs and would provide a more precise diagnosis basis.