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Development and Validation of Protein Microarray Technology for Simultaneous Inflammatory Mediator Detection in Human Sera

机译:同时检测人体血清炎症介质的蛋白质芯片技术的开发与验证

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摘要

Biomarkers, including cytokines, can help in the diagnosis, prognosis, and prediction of treatment response across a wide range of disease settings. Consequently, the recent emergence of protein microarray technology, which is able to quantify a range of inflammatory mediators in a large number of samples simultaneously, has become highly desirable. However, the cost of commercial systems remains somewhat prohibitive. Here we show the development, validation, and implementation of an in-house microarray platform which enables the simultaneous quantitative analysis of multiple protein biomarkers. The accuracy and precision of the in-house microarray system were investigated according to the Food and Drug Administration (FDA) guidelines for pharmacokinetic assay validation. The assay fell within these limits for all but the very low-abundant cytokines, such as interleukin- (IL-) 10. Additionally, there were no significant differences between cytokine detection using our microarray system and the “gold standard” ELISA format. Crucially, future biomarker detection need not be limited to the 16 cytokines shown here but could be expanded as required. In conclusion, we detail a bespoke protein microarray system, utilizing well-validated ELISA reagents, that allows accurate, precise, and reproducible multiplexed biomarker quantification, comparable with commercial ELISA, and allowing customization beyond that of similar commercial microarrays.
机译:包括细胞因子在内的生物标志物可以帮助诊断,预测和预测多种疾病情况下的治疗反应。因此,近来出现了蛋白质微阵列技术,该技术能够同时对大量样品中的多种炎症介质进行定量,已成为人们的迫切需求。但是,商业系统的成本仍然有些高昂。在这里,我们展示了内部微阵列平台的开发,验证和实施,该平台可同时对多种蛋白质生物标记物进行定量分析。根据食品和药物管理局(FDA)的药代动力学分析验证指南,对内部微阵列系统的准确性和精密度进行了研究。除了极低丰度的细胞因子(如白细胞介素-(IL-)10)外,所有其他细胞因子的测定均在这些限制之内。此外,使用我们的微阵列系统和“黄金标准” ELISA格式检测细胞因子之间没有显着差异。至关重要的是,将来的生物标志物检测不必限于此处显示的16种细胞因子,而可以根据需要进行扩展。总之,我们详细介绍了定制的蛋白质微阵列系统,利用了经过充分验证的ELISA试剂,该系统可进行精确,精确和可重现的多重生物标志物定量,与商业ELISA相当,并且可以进行定制,超出类似的商业微阵列。

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