Mathias Streitz, Tewfik Miloud, Michael Kapinsky, Michael R Reed, Robert Magari, Edward K Geissler, James A Hutchinson, Katrin Vogt, Stephan Schlickeiser, Anders Handrup Kverneland, Christian Meisel, Hans-Dieter Volk, Birgit Sawitzki
{"title":"临床试验全血免疫表型监测的标准化:来自ONE研究的小组和方法","authors":"Mathias Streitz, Tewfik Miloud, Michael Kapinsky, Michael R Reed, Robert Magari, Edward K Geissler, James A Hutchinson, Katrin Vogt, Stephan Schlickeiser, Anders Handrup Kverneland, Christian Meisel, Hans-Dieter Volk, Birgit Sawitzki","doi":"10.1186/2047-1440-2-17","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using different cell therapies to promote tolerance to renal allografts. To compare the effectiveness of different cell therapies, the consortium developed a robust immune monitoring strategy, including procedures for whole blood (WB) leukocyte subset profiling by flow cytometry.</p><p><strong>Methods: </strong>Six leukocyte profiling panels computing 7- to 9-surface marker antigens for monitoring the major leukocyte subsets as well as characteristics of T cell, B cell, and dendritic cell (DC) subsets were designed. The precision and variability of these panels were estimated. The assay was standardized within eight international laboratories using Flow-Set Pro beads for mean fluorescence intensity target definition and the flow cytometer setup procedure. Standardization was demonstrated by performing inter-site comparisons.</p><p><strong>Results: </strong>Optimized methods for sample collection, storage, preparation, and analysis were established, including protocols for gating target subsets. WB specimen age testing demonstrated that staining must be performed within 4 hours of sample collection to keep variability low, meaning less than or equal to 10% for the majority of defined leukocyte subsets. Inter-site comparisons between all participating centers testing shipped normal WB revealed good precision, with a variability of 0.05% to 30% between sites. Intra-assay analyses revealed a variability of 0.05% to 20% for the majority of subpopulations. This was dependent on the frequency of the particular subset, with smaller subsets showing higher variability. The intra-assay variability performance defined limits of quantitation (LoQ) for subsets, which will be the basis for assessing statistically significant differences achieved by the different cell therapies.</p><p><strong>Conclusions: </strong>Local performance and central analysis of the ONE Study flow cytometry panel yields acceptable variability in a standardized assay at multiple international sites. These panels and procedures with WB allow unmanipulated analysis of changes in absolute cell numbers of leukocyte subsets in single- or multicenter clinical trials. Accordingly, we propose the ONE Study panel may be adopted as a standardized method for monitoring patients in clinical trials enrolling transplant patients, particularly trials of novel tolerance promoting therapies, to facilitate fair and meaningful comparisons between trials.</p>","PeriodicalId":89864,"journal":{"name":"Transplantation research","volume":" ","pages":"17"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/2047-1440-2-17","citationCount":"178","resultStr":"{\"title\":\"Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study.\",\"authors\":\"Mathias Streitz, Tewfik Miloud, Michael Kapinsky, Michael R Reed, Robert Magari, Edward K Geissler, James A Hutchinson, Katrin Vogt, Stephan Schlickeiser, Anders Handrup Kverneland, Christian Meisel, Hans-Dieter Volk, Birgit Sawitzki\",\"doi\":\"10.1186/2047-1440-2-17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using different cell therapies to promote tolerance to renal allografts. To compare the effectiveness of different cell therapies, the consortium developed a robust immune monitoring strategy, including procedures for whole blood (WB) leukocyte subset profiling by flow cytometry.</p><p><strong>Methods: </strong>Six leukocyte profiling panels computing 7- to 9-surface marker antigens for monitoring the major leukocyte subsets as well as characteristics of T cell, B cell, and dendritic cell (DC) subsets were designed. The precision and variability of these panels were estimated. The assay was standardized within eight international laboratories using Flow-Set Pro beads for mean fluorescence intensity target definition and the flow cytometer setup procedure. Standardization was demonstrated by performing inter-site comparisons.</p><p><strong>Results: </strong>Optimized methods for sample collection, storage, preparation, and analysis were established, including protocols for gating target subsets. WB specimen age testing demonstrated that staining must be performed within 4 hours of sample collection to keep variability low, meaning less than or equal to 10% for the majority of defined leukocyte subsets. Inter-site comparisons between all participating centers testing shipped normal WB revealed good precision, with a variability of 0.05% to 30% between sites. Intra-assay analyses revealed a variability of 0.05% to 20% for the majority of subpopulations. This was dependent on the frequency of the particular subset, with smaller subsets showing higher variability. The intra-assay variability performance defined limits of quantitation (LoQ) for subsets, which will be the basis for assessing statistically significant differences achieved by the different cell therapies.</p><p><strong>Conclusions: </strong>Local performance and central analysis of the ONE Study flow cytometry panel yields acceptable variability in a standardized assay at multiple international sites. These panels and procedures with WB allow unmanipulated analysis of changes in absolute cell numbers of leukocyte subsets in single- or multicenter clinical trials. 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引用次数: 178
摘要
背景:流式细胞术免疫监测是一种快速、高信息量的方法,用于研究旨在减少移植排斥反应或治疗自身免疫性疾病的新疗法的效果。ONE研究联盟最近启动了一系列临床试验,旨在使用不同的细胞疗法来促进对同种异体肾移植的耐受性。为了比较不同细胞疗法的有效性,该联盟开发了一种强大的免疫监测策略,包括流式细胞术全血(WB)白细胞亚群分析程序。方法:设计了6个白细胞谱板,计算7- 9表面标记抗原,用于监测主要的白细胞亚群以及T细胞、B细胞和树突状细胞(DC)亚群的特征。对这些面板的精度和变异性进行了估计。在8个国际实验室中,使用flow - set Pro珠进行平均荧光强度目标定义和流式细胞仪设置程序,对该检测进行了标准化。标准化是通过进行站点间比较来证明的。结果:建立了优化的样品采集、储存、制备和分析方法,包括筛选目标子集的方案。WB标本年龄测试表明,必须在样品采集后4小时内进行染色,以保持低变异性,这意味着大多数已定义的白细胞亚群小于或等于10%。所有参与中心之间的站点间比较显示出良好的准确性,站点之间的差异为0.05%至30%。测定内分析显示,大多数亚群的变异率为0.05%至20%。这取决于特定子集的频率,较小的子集表现出更高的可变性。测定内变异性能定义了亚群的定量限制(LoQ),这将是评估不同细胞疗法实现的统计学显著差异的基础。结论:ONE Study流式细胞仪面板的局部性能和中心分析在多个国际站点的标准化检测中产生了可接受的变异性。在单中心或多中心临床试验中,这些带有WB的面板和程序允许对白细胞亚群绝对细胞数量的变化进行无操作分析。因此,我们建议将ONE研究小组作为纳入移植患者的临床试验中监测患者的标准化方法,特别是新型耐受性促进疗法的试验,以促进试验之间公平和有意义的比较。
Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study.
Background: Immune monitoring by flow cytometry is a fast and highly informative way of studying the effects of novel therapeutics aimed at reducing transplant rejection or treating autoimmune diseases. The ONE Study consortium has recently initiated a series of clinical trials aimed at using different cell therapies to promote tolerance to renal allografts. To compare the effectiveness of different cell therapies, the consortium developed a robust immune monitoring strategy, including procedures for whole blood (WB) leukocyte subset profiling by flow cytometry.
Methods: Six leukocyte profiling panels computing 7- to 9-surface marker antigens for monitoring the major leukocyte subsets as well as characteristics of T cell, B cell, and dendritic cell (DC) subsets were designed. The precision and variability of these panels were estimated. The assay was standardized within eight international laboratories using Flow-Set Pro beads for mean fluorescence intensity target definition and the flow cytometer setup procedure. Standardization was demonstrated by performing inter-site comparisons.
Results: Optimized methods for sample collection, storage, preparation, and analysis were established, including protocols for gating target subsets. WB specimen age testing demonstrated that staining must be performed within 4 hours of sample collection to keep variability low, meaning less than or equal to 10% for the majority of defined leukocyte subsets. Inter-site comparisons between all participating centers testing shipped normal WB revealed good precision, with a variability of 0.05% to 30% between sites. Intra-assay analyses revealed a variability of 0.05% to 20% for the majority of subpopulations. This was dependent on the frequency of the particular subset, with smaller subsets showing higher variability. The intra-assay variability performance defined limits of quantitation (LoQ) for subsets, which will be the basis for assessing statistically significant differences achieved by the different cell therapies.
Conclusions: Local performance and central analysis of the ONE Study flow cytometry panel yields acceptable variability in a standardized assay at multiple international sites. These panels and procedures with WB allow unmanipulated analysis of changes in absolute cell numbers of leukocyte subsets in single- or multicenter clinical trials. Accordingly, we propose the ONE Study panel may be adopted as a standardized method for monitoring patients in clinical trials enrolling transplant patients, particularly trials of novel tolerance promoting therapies, to facilitate fair and meaningful comparisons between trials.