Serum Human Epididymis Protein 4 as a Novel Biomarker in Identifying Patients With Interstitial Lung Disease in Rheumatoid Arthritis.

Serum Human Epididymis Protein 4 as a Novel Biomarker in Identifying Patients With Interstitial Lung Disease in Rheumatoid Arthritis.
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DOI:
10.3389/fmed.2021.755268
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发表时间:
2021
影响因子:
3.9
通讯作者:
Liu Y
Liu Y
中科院分区:
医学3区
文献类型:
--
作者:
Liang L;Chen J;Di C;Zhan M;Bao H;Xia C;Fan C;Liu Y

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目的:人附睾蛋白4 (HE4)与肺受累有关。我们旨在探讨HE4在类风湿关节炎(RA)患者临床分层中的临床应用。方法:本研究包括一个由70名RA患者和64名健康对照(hc)组成的发现队列,以及一个由98名RA患者和75名hc组成的验证队列。用电化学发光分析仪测定人附睾蛋白4。结果:与hcc患者相比,RA患者的HE4水平显著升高。RA和hc患者的HE4阳性率在发现组分别为50.0%和0%,在验证组分别为53.1和1.3%。当根据HE4状态对RA患者进行亚组时,HE4阳性组比HE4阴性组显示出更高的间质性肺疾病(ILD)患病率(发现组28.6%比11.4%,验证组57.7%比8.7%)。HE4水平与肺损伤程度呈正相关。受试者工作曲线(ROC)分析显示,区分RA-ILD与RA-non -ILD的最佳截断值为104.3 pmol/L,曲线下面积(AUC)为0.790。多因素logistic回归分析表明,高水平HE4独立识别RA-ILD患者(OR, 9.080, p < 0.001)。结论:我们的研究结果显示了HE4在RA风险分层中的新作用,表明将HE4引入目前的RA测试组可能作为识别RA患者进行进一步RA- ild检查的指标,如高分辨率计算机断层扫描(HRCT)。
Objective: Human epididymis protein 4 (HE4) have been implicated in the pulmonary involvements. We aimed to investigate the clinical utility of HE4 in clinical stratification in patients with rheumatoid arthritis (RA). Methods: This study included a discovery cohort comprising 70 RA patients and 64 healthy controls (HCs), and a validation cohort comprising 98 RA patients and 75 HCs. Human epididymis protein 4 were determined by electrochemical luminescence analyzer. Results: The levels of HE4 were significantly elevated in patients with RA compared to HCs. The positive rates of HE4 in patients with RA and HCs were 50.0% and 0, respectively, in the discovery cohort and 53.1 and 1.3%, respectively, in the validation cohort. When RA patients were subgrouped according to HE4 status, HE4-positive group displayed higher prevalence of interstitial lung disease (ILD) compared to HE4-negative group (28.6 vs. 11.4% in discovery cohort and 57.7 vs. 8.7% in the validation cohort). A positive correlation between the levels of HE4 with the degree of lung impairment was identified. Receiver operating curve (ROC) analysis revealed an optimal cut-off value of 104.3 pmol/L in HE4 for distinguishing RA-ILD from RA-non ILD with the areas under the curve (AUC) of 0.790. Multivariate logistic regression analysis illustrated that high levels of HE4 independently identified patients with RA-ILD (OR, 9.080, p < 0.001). Conclusion: Our findings showed a novel role of HE4 in RA risk stratification, suggest that introducing HE4 to the current RA test panel may serve as an indicator in identifying RA patients for further RA-ILD workups, such as high-resolution computed tomography (HRCT).
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