Integrating clinical data and genetic susceptibility to elucidate the relationship between systemic lupus erythematosus and human cytomegalovirus infection.

IF 4 3区 医学 Q2 VIROLOGY Virology Journal Pub Date : 2024-11-30 DOI:10.1186/s12985-024-02578-6
Xin Luo, Liuliu Quan, Qingting Lin, Huiteng Rong, Yue Liu, Jiaqi Meng, Xin You
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Abstract

Background: 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.

Methods: 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.

Results: 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).

Conclusion: 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.

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结合临床资料和遗传易感性,探讨系统性红斑狼疮与巨细胞病毒感染的关系。
背景:已知病毒感染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与人巨细胞病毒(HCMV)感染之间可能存在关系,并将HCMV与多种自身抗体相关;然而,这些研究受到样本量变化和潜在选择偏差的限制。因此,在本研究中,我们旨在通过结合临床资料和遗传易感性来阐明SLE患者HCMV与自身抗体之间的关系。方法:采用多种统计方法,对我院住院患者近10年SLE自身抗体和HCMV感染谱进行回顾性分析。使用机器学习建模来预测基于抗核(ANA)谱的活动性HCMV感染。此外,孟德尔随机化(MR)被用于研究SLE和HCMV感染之间的因果关系。结果:HCMV组ANA、抗dsdna、抗组蛋白抗体(AHA)、抗核小体抗体(ANuA)水平显著升高(P < 0.05)。结论:SLE患者的ANA谱可用于预测HCMV感染状态。由于SLE患者对HCMV感染的易感性,我们首次提出,如果SLE患者血清中ANA、anti-dsDNA、ANuA、AHA的滴度较高,应注意HCMV感染,这有助于SLE的临床评估,改善患者预后。
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来源期刊
Virology Journal
Virology Journal 医学-病毒学
CiteScore
7.40
自引率
2.10%
发文量
186
审稿时长
1 months
期刊介绍: Virology Journal is an open access, peer reviewed journal that considers articles on all aspects of virology, including research on the viruses of animals, plants and microbes. The journal welcomes basic research as well as pre-clinical and clinical studies of novel diagnostic tools, vaccines and anti-viral therapies. The Editorial policy of Virology Journal is to publish all research which is assessed by peer reviewers to be a coherent and sound addition to the scientific literature, and puts less emphasis on interest levels or perceived impact.
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