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Conceptual and Methodological Issues Relevant to Cytokine and Inflammatory Marker Measurements in Clinical Research.

机译:与临床研究中细胞因子和炎性标志物测量有关的概念和方法问题。

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摘要

PURPOSE OF REVIEW: To provide clinical investigators with an understanding of factors to consider when wishing to add cytokine and inflammatory marker measurements to their studies. RECENT FINDINGS: Inflammation involves complex and coordinated responses of the immune system to tissue damage. In the absence of tools to routinely assess inflammation within living tissues, measurements of humoral factors such as cytokines and other inflammatory mediators or markers can provide predictive clinical information and insights into disease mechanisms. Historically, enzyme-linked immunosorbent assays (ELISAs) became the gold standard, yet this approach of measuring a single protein in each sample limits the amount of information which can be obtained from limited amounts of human sample. In recent years, commercially available multiplex technologies which detect large numbers of proteins in a limited volume have provided investigators with opportunities to begin addressing the complexity of inflammatory responses. Nevertheless, great attention needs to be paid to many aspects of study design, sample collection, sample measurement and data analysis. These considerations are especially significant when using technologies for which experience remains limited. SUMMARY: Whereas measurements of peripheral levels of inflammatory markers can add important mechanistic elements to human subject research, careful attention to conceptual and methodological considerations is essential, especially when using novel technologies.
机译:审查目的:为临床研究人员提供在希望将细胞因子和炎性标志物测量添加到他们的研究中时要考虑的因素的理解。最近的发现:炎症涉及免疫系统对组织损伤的复杂而协调的反应。在缺乏常规评估活组织内炎症的工具的情况下,对体液因子(例如细胞因子和其他炎症介质或标志物)的测量可以提供预测性的临床信息和对疾病机制的见解。从历史上看,酶联免疫吸附测定(ELISA)成为金标准,但是这种测量每个样品中单个蛋白质的方法限制了可以从有限量的人类样品中获得的信息量。近年来,可在有限体积中检测大量蛋白质的市售多重技术为研究人员提供了开始解决炎症反应复杂性的机会。尽管如此,仍需要在研究设计,样品收集,样品测量和数据分析的许多方面给予极大的关注。当使用经验仍然有限的技术时,这些考虑尤其重要。简介:炎症标志物周围水平的测量可以为人类研究增加重要的机械因素,而对概念和方法上的考虑要特别注意,尤其是在使用新技术时。

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