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泪液蛋白质组和蛋白质网络分析揭示了一种新型五标志物组合,可用于干眼症和睑板腺功能障碍的泪膜特征分析。

Tear proteome and protein network analyses reveal a novel pentamarker panel for tear film characterization in dry eye and meibomian gland dysfunction.

机构信息

Bioftalmik, Parque Tecnológico de Vizcaya, Ed. 800, 2nd Floor, E-48160 Derio, Vizcaya, Spain.

出版信息

J Proteomics. 2013 Jan 14;78:94-112. doi: 10.1016/j.jprot.2012.11.017. Epub 2012 Nov 29.

DOI:10.1016/j.jprot.2012.11.017
PMID:23201116
Abstract

Dry eye and meibomian gland dysfunction are common ocular surface disorders. Discrimination of both conditions often may be difficult given the overlapping of signs and symptoms, and the lack of correlation with clinical parameters. A total of 144 individuals were included in this study. To search for proteome differences, tear proteins were collected by Merocel sponge and analyzed using 2D-PAGE. Comparative tear protein profile analysis indicated changes in the expression levels of fifteen proteins. Subsequent to MALDI-TOF/TOF protein identification, network analysis revealed expression/interaction connections with other proteins, thereby identifying additional putative markers. A screening validation assay demonstrated the discriminative power of six candidate biomarkers. A further validation study using multiplexed-like ELISA assays in tear samples collected with both sponge and capillary confirmed the high discriminatory power of five biomarkers: S100A6, annexin A1 (ANXA1), annexin A11 (ANXA11), cystatin-S (CST4), and phospholipase A2-activating protein (PLAA) with an area under ROC curve (AUC)≥ 97.9% (sensitivity ≥ 94.3%; specificity ≥ 97.6%) when comparing dry eye and control individuals. This panel also discriminated between dry eye, meibomian gland dysfunction and control individuals, with a global correct assignment (CA) of 73.2% between all groups. Correct assignment was not found to be significantly dependent on the tear collection method.

摘要

干眼症和睑板腺功能障碍是常见的眼表面疾病。鉴于这些病症的体征和症状重叠,以及与临床参数缺乏相关性,常常难以对这两种病症进行区分。本研究共纳入了 144 名个体。为了寻找蛋白质组差异,使用 Merocel 海绵收集泪液蛋白,并使用 2D-PAGE 进行分析。比较性泪液蛋白谱分析表明,十五种蛋白质的表达水平发生了变化。随后通过 MALDI-TOF/TOF 蛋白质鉴定,网络分析显示与其他蛋白质的表达/相互作用关系,从而确定了其他潜在的标记物。筛选验证试验表明,六种候选生物标志物具有区分能力。使用海绵和毛细管收集的泪液样本进行的多重 ELISA 验证研究进一步证实了五种生物标志物的高区分能力:S100A6、膜联蛋白 A1(ANXA1)、膜联蛋白 A11(ANXA11)、胱抑素-S(CST4)和磷脂酶 A2 激活蛋白(PLAA),其 ROC 曲线下面积(AUC)≥97.9%(灵敏度≥94.3%;特异性≥97.6%),用于比较干眼症和对照组个体。该面板还区分了干眼症、睑板腺功能障碍和对照组个体,所有组之间的总体正确分配(CA)为 73.2%。未发现正确分配明显依赖于泪液收集方法。

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