Accurate preterm labor diagnosis using a CD55-TLR4 combination biomarker model.

Siddharth Pratap, Laura E Brown, Michael G Izban, Stella Nowicki, Bogdan J Nowicki
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引用次数: 2

Abstract

We previously demonstrated immune activation in the maternal peripheral circulation associated with preterm labor (PTL). There was an elevation in WBC mRNA of anti-inflammatory complement decay-accelerating factor (CD55) and the innate-immune response activating toll-like receptor 4 (TLR4). These findings suggested that collectively, these two molecules might serve as useful biomolecules to aid in the diagnosis of PTL. In this study, we used a combined marker approach to determine whether a dual marker model utilizing both CD55 and TLR4 mRNA levels to classify PTL would increase diagnostic accuracy compared to either molecule alone. Two methods were evaluated; a linear discriminant (LD) method and a distribution free (DF) method, in order to find the optimal linear combination of TLR4 and CD55 data to diagnose PTL accurately. Our results indicated that a combined CD55-TLR4 dual marker model could provide statistically significant improvements compared to CD55 or TLR4 single marker models for PTL classification performance.

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利用CD55-TLR4联合生物标志物模型准确诊断早产。
我们之前证实了与早产(PTL)相关的母体外周循环中的免疫激活。抗炎补体衰变加速因子(CD55)和先天免疫反应激活toll样受体4 (TLR4) mRNA升高。这些发现表明,这两个分子可能作为有用的生物分子来帮助诊断PTL。在这项研究中,我们使用联合标记方法来确定利用CD55和TLR4 mRNA水平对PTL进行分类的双标记模型是否比单独使用任何一种分子更能提高诊断准确性。对两种方法进行评价;采用线性判别(LD)法和自由分布(DF)法,寻找TLR4和CD55数据的最佳线性组合,以准确诊断PTL。我们的研究结果表明,与CD55或TLR4单标记模型相比,CD55-TLR4联合双标记模型在PTL分类性能方面可以提供统计学上显著的改善。
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