尿液肾损伤分子 1 (KIM-1) 在监测埃及狼疮性肾炎患者治疗反应中的作用。

Lamis Khedr, Howayda El-Shinnawy, H. Hebah, Hossam Rashwan, R. Elsharabasy
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摘要

狼疮肾炎(LN)影响着近三分之二的系统性红斑狼疮(SLE)患者。尽管最初采取了积极的治疗,但仍有高达25%的狼疮肾炎患者会发展为永久性肾损伤。传统的 LN 血清标志物缺乏理想生物标志物的敏感性。尿肾损伤分子-1(UKIM-1)是早期诊断急性肾损伤和预测肾脏预后的极佳生物标志物。这项研究旨在通过评估UKIM-1的水平并将其与肾病活动相关联,确定UKIM-1在LN患者中对诱导治疗反应的预测性能。这项研究包括60名系统性红斑狼疮患者,其中20名为活动性狼疮性肾炎的系统性红斑狼疮患者,20名为非活动性狼疮性肾炎的系统性红斑狼疮患者,20名为无肾炎的狼疮患者作为对照组。研究在诱导治疗六个月后结束。UKIM-1在基线、三个月随访和完全诱导治疗后通过酶联免疫吸附试验进行测定。基线时,活动性 LN 患者的平均血清肌酐和平均 UKIM-1 分别为 1.7 ±0.7 mg/dL 和 10.3 ±1.2 ng/dL。完全反应组和部分反应组的平均UKIM-1水平分别为9.8 ±0.9 ng/mL和11.3 ±1.0 ng/mL。根据接收者操作特征曲线分析,我们发现UKIM-1在预测诱导治疗反应方面具有更好的诊断性能,优于传统的生物标志物。当曲线下面积为 0.896 时,灵敏度和特异度分别为 84.6% 和 85.7%,最佳临界值≤10.6 ng/mL。总之,UKIM-1 在预测活动性 LN 的治疗反应方面优于传统生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of urinary kidney injury molecule 1 (KIM-1) in monitoring the treatment response in Egyptian Lupus Nephritis Patients.
Lupus nephritis (LN) affects almost two-thirds of systemic lupus erythematosus (SLE) patients. Despite initial aggressive therapy, up to 25% of patients with LN will progress to permanent renal damage. Conventional serum markers for LN lack the sensitivity of an ideal biomarker. Urinary kidney injury molecule-1 (UKIM-1) is an excellent biomarker for early diagnosis of acute kidney injury and predicting renal outcomes. This study intended to determine the predictive performance of UKIM-1 among LN patients in response to induction therapy by assessing and correlating its levels with renal disease activity. The study included 60 SLE patients divided into 20 SLE patients with active lupus nephritis, 20 SLE patients with inactive lupus nephritis, and 20 lupus patients without nephritis as controls. The study was completed after six months from induction treatment. UKIM-1 was measured by an enzyme linked immunosorbent assay at baseline, three-month follow-up and after complete induction therapy. At baseline, the mean serum creatinine and mean UKIM-1 were 1.7 ±0.7 mg/dL and 10.3 ±1.2 ng/dL, respectively in active LN patients. The mean UKIM-1 levels of complete response and partial response groups were 9.8 ±0.9 ng/mL and 11.3 ±1.0 ng/mL respectively. Based on receiver operating characteristics curve analysis, we found a better diagnostic performance of UKIM-1 to predict response to induction treatment, outperforming conventional biomarkers. The sensitivity and specificity were 84.6% and 85.7 %, respectively at an area under the curve of 0.896 and the best cut-off level was ≤10.6 ng/mL. In conclusion, UKIM-1 performed better than conventional biomarkers in predicting response to treatment of active LN.
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