Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Key Laboratory of Rheumatology & Clinical Immunology, Chinese Academy of Medical Sciences & Peking Union Medical College, Ministry of Education, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Beijing, China.
Department of Medical Oncology, National Clinical Research Center for Cancer/Cancer Hospital, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Virol J. 2024 Nov 30;21(1):311. doi: 10.1186/s12985-024-02578-6.
Viral infections are known to induce the occurrence and pathogenesis of systemic lupus erythematosus (SLE). Previous studies have indicated a possible relationship between SLE and human cytomegalovirus (HCMV) infection and have attributed HCMV to be associated with various autoantibodies; however, these studies were constrained by variations in sample size and potential selection bias. Therefore, in the present study, we aimed to elucidate the relationship between HCMV and autoantibodies in patients with SLE by integrating clinical data and genetic susceptibility.
Using various statistical methods, we conducted a retrospective analysis of the spectrum of SLE autoantibodies and HCMV infections among patients hospitalized at our center over the past 10 years. Machine learning modeling was used to predict active HCMV infections based on the antinuclear (ANA) spectrum. Moreover, Mendelian randomization (MR) was used to investigate the causal relationship between SLE and HCMV infection.
In the HCMV group, the levels of ANA, anti-dsDNA, anti-histone antibody (AHA), and anti-nucleosome antibody (ANuA) were significantly increased (P < 0.001) and were linked to the presence of CMV-pp65-antigen-positive polymorphonuclear leukocytes (P < 0.001). A weak correlation was observed between the titers of anti-CMV IgM and ANA (P < 0.001). The ANA spectrum demonstrated a strong predictive performance for active HCMV infection based on principal component analysis (Adonis and ANOSIM P < 0.001) as well as support vector machine and extreme gradient boosting modeling. MR analyses of inverse-variance weighted, weighted mean, MR-Egger, and weighted mode revealed that patients with SLE were at a higher risk of developing HCMV infection (P < 0.05). However, HCMV infection did not have a causal effect on SLE (P > 0.05).
The ANA spectrum in patients with SLE can be used to predict HCMV infection status. Due to the inherent susceptibility of patients with SLE to HCMV infection, we propose for the first time that if a patient with SLE exhibits high serum titers of ANA, anti-dsDNA, ANuA, and AHA, caution should be exercised for HCMV infection, which can contribute to the clinical assessment of SLE and improve patient prognosis.
病毒感染已知可诱发系统性红斑狼疮(SLE)的发生和发病机制。先前的研究表明 SLE 与人类巨细胞病毒(HCMV)感染之间可能存在关系,并认为 HCMV 与各种自身抗体有关;然而,这些研究受到样本量的变化和潜在选择偏倚的限制。因此,在本研究中,我们旨在通过整合临床数据和遗传易感性来阐明 HCMV 与 SLE 患者自身抗体之间的关系。
我们使用各种统计方法,对过去 10 年来我院住院患者的 SLE 自身抗体谱和 HCMV 感染进行回顾性分析。使用机器学习模型根据抗核(ANA)谱预测活动性 HCMV 感染。此外,孟德尔随机化(MR)用于研究 SLE 与 HCMV 感染之间的因果关系。
在 HCMV 组中,ANA、抗 dsDNA、抗组蛋白抗体(AHA)和抗核小体抗体(ANuA)的水平显着升高(P<0.001),并与 CMV-pp65-抗原阳性多形核白细胞的存在相关(P<0.001)。抗 CMV IgM 与 ANA 之间存在弱相关性(P<0.001)。基于主成分分析(Adonis 和 ANOSIM,P<0.001)以及支持向量机和极端梯度增强建模,ANA 谱对活动性 HCMV 感染具有很强的预测性能。基于逆方差加权、加权均值、MR-Egger 和加权模式的 MR 分析表明,SLE 患者发生 HCMV 感染的风险更高(P<0.05)。然而,HCMV 感染对 SLE 没有因果影响(P>0.05)。
SLE 患者的 ANA 谱可用于预测 HCMV 感染状态。由于 SLE 患者对 HCMV 感染具有固有易感性,我们首次提出,如果 SLE 患者的血清 ANA、抗 dsDNA、ANuA 和 AHA 滴度较高,应警惕 HCMV 感染,这有助于 SLE 的临床评估并改善患者预后。