A four-parameter logistic model for estimating titers of functional multiplexed pneumococcal opsonophagocytic killing assay
A four-parameter logistic model for estimating titers of functional multiplexed pneumococcal opsonophagocytic killing assay
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DOI：
10.1080/10543400701697182
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发表时间：
2008-01-01
影响因子：
1.1
通讯作者：
Soong, Seng-Jaw
中科院分区：
文献类型：
--
作者：
Wang, Deli;Burton, Robert L.;Soong, Seng-Jaw
体外调理吞噬杀灭测定 (OPA) 被广泛接受用于定量肺炎球菌血清型特异性肺炎球菌荚膜多糖 (PS) 抗体。 OPA 生成的大规模数据需要一种滴度估计方法，它是 OPA 标准化的组成部分。为了提高 OPA 结果的可靠性，我们使用 Levenberg-Marquardt 算法开发了一种非线性拟合方法，并可选择稳健的程序来估计 OPA 数据的效价。通过分析真实的实验数据集，通过将滴度估计的精度和准确度与文献中使用的传统方法进行比较来评估所提出的方法的性能。还评估了两种基于模型的方法与实验数据的拟合优度。我们得出的结论是，四参数逻辑模型是 OPA 数据滴度估计的替代选择。开发了使用统计语言 R 和 Microsoft Excel 的计算机软件来实现 OPA 数据的计算算法。
In vitro opsonophagocytosis killing assay (OPA) is widely accepted to quantitate Streptococcus pneumococcal antibodies to serotype-specific pneumococcal capsular polysaccharide (PS). A titer estimation method is needed for large scale data generated by OPA, and it is one component of OPA standardization. In order to improve the reliability of OPA results, we developed a nonlinear fitting method using the Levenberg-Marquardt algorithm with an option of a robust procedure to estimate titers of OPA data. Performance of the proposed method was evaluated by comparing precision and accuracy of titer estimation with traditional methods used in the literature by analyzing real experimental data sets. Goodness-of-fit to experimental data for the two model-based methods was also assessed. We conclude that the four-parameter logistic model is an alternative choice for titer estimation of OPA data. Computer software using the statistical language R and Microsoft Excel was developed to implement our calculation algorithm for OPA data.