Distinct immunological features characterize early-onset primary Sjögren’s disease

疾病 生物 免疫学 医学 计算生物学 免疫系统 鉴定(生物学) 抗体 遗传学 免疫遗传学 抗原 特征(语言学) 三合会(社会学)
作者
Anqi Gao,Saixin Jiang,Ruihe Wu,Ruqing Jin,Chong Gao,Caihong Wang
出处
期刊:Rheumatology [Oxford University Press]
卷期号:65 (3)
标识
DOI:10.1093/rheumatology/keag093
摘要

OBJECTIVES: Early-onset primary Sjögren's disease (pSjD) represents a specific clinical phenotype with poorer prognosis. We aim to compare early- and late-onset pSjD immunophenotypes to identify key distinct immunological features. METHODS: We retrospectively studied 204 newly diagnosed, untreated pSjD patients categorized by age at diagnosis (≤35 years). Clinical features, peripheral lymphocyte profiles, CD4+ T cell subsets and cytokine levels were compared. Key immune variables were screened via random forest and LASSO regression. LASSO-selected variables were analysed using forward stepwise logistic regression to determine independent immune factors associated with early-onset pSjD. RESULTS: Among 204 enrolled patients, 43 (21.08%) were classified as early-onset pSjD and 161 (78.92%) as late-onset pSjD. Compared with the late-onset group, early-onset patients showed significantly lower CD4+ T cell counts [442.62 (236.92-558.89) vs 563.11 (386.98-762.60), P = 0.005] and NK cell counts [71.36 (51.69-134.58) vs 138.05 (91.65-241.90), P < 0.001]. In terms of CD4+ T cell subsets, the early-onset group exhibited higher Th17/Treg cell ratios [0.42 (0.33-0.59) vs 0.30 (0.21-0.46), P = 0.006] and lower Treg cell counts [22.07 (12.89-34.96) vs 28.00 (20.35-38.93), P = 0.032]. Three independent factors for early-onset disease were identified: NK cell counts (OR = 0.993, P = 0.010), CD4+ T cell percentage (OR = 0.947, P = 0.019) and Th17/Treg cell ratios (OR = 5.215, P = 0.029). CONCLUSION: This study characterizes the distinct peripheral immunological landscapes of early- and late-onset pSjD and identifies an immunological triad that may represent a unique 'immune endotype' for early-onset disease, offering insights into targeted monitoring and therapies.
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