血清可溶性 LYVE1 是一种很有前景的肾脏纤维化非侵入性生物标记物:一项基于人群的回顾性横断面研究。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
ACS Applied Electronic Materials Pub Date : 2024-06-01 Epub Date: 2023-12-23 DOI:10.1007/s12026-023-09448-3
Jing Liu, Yuqing Liu, Wenqian Zhou, Yiguo Liu, Saiya Zhu, Ying Yu, Jieli Huang, Chen Yu
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引用次数: 0

摘要

肾脏纤维化的诊断只能通过肾脏活检来验证,但用于非侵入性评估的生物标志物仍不尽如人意。肾脏纤维化患者的淋巴管系统和相关免疫功能通常会出现异常。我们在此介绍一种作为纤维化候选生物标志物的淋巴标志物。在对肾脏纤维化进行评估和分级、检测血清可溶性淋巴管内皮透明质酸受体1(sLYVE1)水平和收集临床信息后,分析了sLYVE1与肾脏纤维化之间的关联。采用逻辑回归分析筛选变量。建立了包含或不包含 sLYVE1 的诊断模型,并绘制了提名图。对模型进行了校准曲线、C指数和DCA评估。研究共招募了 298 名患者,其中 199 名患者被纳入训练队列,99 名患者被纳入验证队列。血清 sLYVE1 水平随着纤维化等级的增加而明显升高(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Serum soluble LYVE1 is a promising non-invasive biomarker of renal fibrosis: a population-based retrospective cross-sectional study.

Serum soluble LYVE1 is a promising non-invasive biomarker of renal fibrosis: a population-based retrospective cross-sectional study.

Diagnosis of renal fibrosis can only be verified by kidney biopsy, but biomarkers for non-invasive evaluation remain unsatisfactory. Patients with fibrosis often have abnormalities of the lymphatic vascular system and associated immune function. We describe here a lymphatic marker as a candidate biomarker for fibrosis. After assessing and grading the fibrosis scores, testing serum soluble lymphatic vessel endothelial hyaluronan receptor1 (sLYVE1) level, and collecting clinical information, the association between sLYVE1 and renal fibrosis was analyzed. Logistic regression analysis was used to screen variables. Diagnosis models with or without sLYVE1 were built, and nomograms were plotted. Calibration curve, C-index, and DCA were performed to assess the models. A total of 298 patients were enrolled in the study, of which 199 were included in the training cohort and 99 patients in the validation cohort. Serum sLYVE1 levels markedly elevated with increasing fibrosis grade (p<0.05). ROC analysis of sLYVE1 showed an AUC of 0.791 and 0.846 with optimal cut-off value of 405.25 ng/mL and 498.55 ng/mL for the prediction of moderate-to-severe renal fibrosis (MSF) and severe renal fibrosis (SF), respectively. The diagnostic nomogram model without sLYVE1 (model 1) included traditional clinical determinants (C-index: 0.658 for MSF; 0.603 for SF). A combination of model 1 and sLYVE1 (model 2) improved predictive performance (C-index: 0.847 for MSF; 0.856 for SF). Calibration curve and DCA demonstrated a better consistency accuracy and clinical benefit of model 2 than model 1. Serum sLYVE1 may be identified as a potential biomarker of renal fibrosis. Models incorporating sLYVE1 may be beneficial for a more accurate non-invasive diagnosis of renal fibrosis.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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