The First Affiliated Hospital of Nanchang University.
Key Laboratory of Laboratory Medicine in Jiangxi Province, Department of Clinical Laboratory, the Second Affiliated Hospital of Nanchang University, Nanchang, China.
Lab Med. 2020 Sep 1;51(5):529-539. doi: 10.1093/labmed/lmaa001.
Early identification and disease monitoring are challenges facing rheumatologists in the management of rheumatoid arthritis (RA).
We utilized enzyme-linked immunosorbent assay (ELISA) to determine 14-3-3η and anticyclic citrullinated peptide antibody (anti-CCP) levels, with rheumatoid factor (RF) level detected by rate nephelometry. The diagnostic value of each index was determined via receiver operating characteristic (ROC) curve, and the association between 14-3-3η and osteoporosis was assessed using multiple logistic regression analysis.
Serum levels of 14-3-3η were 3.26 ng per mL in patients with RA. These levels were helpful in identifying patients with the disease, with the area under the curve (AUC) being 0.879 and 0.853, respectively, from all healthy control individuals and patients with RA. Combining 14-3-3η with RF or anti-CCP increased the diagnostic rate. Logistic regression analysis identified 14-3-3η as an independent risk factor for RA-related osteoporosis (odds ratio [OR], 1.503; 95% confidence interval [CI], 1.116-2.025; P <.01).
Serum 14-3-3η detection by itself or combined with other serum indices was helpful in differentiating patients with RA. Also, it was a promising biomarker for disease monitoring in RA.
早期识别和疾病监测是风湿科医生在类风湿关节炎（RA）管理中面临的挑战。
我们利用酶联免疫吸附试验（ELISA）测定了 14-3-3η 和抗环瓜氨酸肽抗体（抗-CCP）的水平，类风湿因子（RF）的水平通过速率散射比浊法检测。通过接收者操作特征（ROC）曲线确定每个指标的诊断价值，并通过多元逻辑回归分析评估 14-3-3η 与骨质疏松症的关系。
RA 患者血清 14-3-3η 水平为 3.26ng/mL。这些水平有助于识别患有该疾病的患者，曲线下面积（AUC）分别为 0.879 和 0.853，来自所有健康对照个体和 RA 患者。将 14-3-3η 与 RF 或抗-CCP 结合使用可提高诊断率。逻辑回归分析确定 14-3-3η 是 RA 相关骨质疏松症的独立危险因素（比值比[OR]，1.503；95%置信区间[CI]，1.116-2.025；P<.01）。
单独或联合其他血清指标检测血清 14-3-3η 有助于区分 RA 患者。此外，它是 RA 疾病监测的有前途的生物标志物。
