Circulating lymphocyte subsets in normal adults are variable and can be clustered into subgroups.
Circulating lymphocyte subsets in normal adults are variable and can be clustered into subgroups.
复制标题
正常成人的循环淋巴细胞亚群是可变的，并且可以分为亚组。
DOI：
10.1002/cyto.b.20594
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
LuningPrak,ElineT
中科院分区：
文献类型：
--
作者：
Sekiguchi,DeboraR;Smith,SaraB;Sutter,JenniferA;Goodman,NoahG;Propert,Kathleen;Louzoun,Yoram;Rogers,Wade;LuningPrak,ElineT
背景流式细胞术用于监测临床和研究环境中的淋巴细胞亚群。了解受试者之间和受试者内的变异性程度对于数据解释至关重要。方法使用B、T和NK细胞标记物的多色流式细胞仪在两个不同的场合分析了18名健康成年人的外周血淋巴细胞。结果每个受试者的B和T细胞亚群分布在两个时间点上是稳定的，但与其他受试者的分布不同。因此，特定B或T细胞亚群的测量范围在受试者之间较大，而对个人而言较窄。此外，变异程度与淋巴细胞亚群的大小成反比。当用聚集性聚类法分析淋巴细胞图谱时，来自同一个体的复制样本倾向于聚集。当分析来自不同个体的单个样本时，个体似乎聚集到不同的亚群中。结论淋巴细胞亚群在个体之间的变异通常大于单个个体内的变异，每个人似乎都有一个淋巴细胞亚群的特征图谱。这些结果强调了在研究一种治疗对淋巴细胞亚群随时间的影响时，获得每个受试者的基线值的重要性。这些结果也突出了聚类分析作为一种免疫亚集分析和生物标记物发现工具的潜在用途。©2011国际临床细胞计数学会
BackgroundFlow cytometry is used to monitor lymphocyte subsets in both the clinical and research settings. An understanding of the degree of inter‐ and intrasubject variability of these populations is critical for data interpretation.MethodsPeripheral blood lymphocytes of 18 healthy adults were analyzed on two separate occasions using a multicolor flow cytometric panel with B, T, and NK cell markers. Variability was calculated using the coefficient of variation and compared between and within individuals using agglomerative clustering.ResultsEach subject appears to have B and T cell subset profiles that are stable over the two time points, but differ from the profiles of other subjects. Thus, the range of measurements for a particular B or T cell subset is larger between subjects and narrower for an individual. In addition, the level of variability correlates inversely with the size of the lymphocyte subset. When lymphocyte profiles are analyzed by agglomerative clustering, replicate samples from the same individual tend to cluster. When single samples from different individuals are analyzed, individuals appear to cluster into different subgroups.ConclusionsVariability of lymphocyte subsets is usually greater between individuals than within a single individual and each person appears to have a characteristic profile of lymphocyte subsets. These results underscore the importance of obtaining a baseline value for each subject when investigating the impact of a treatment on lymphocyte subsets over time. These results also highlight the potential utility of cluster analysis as a tool for immune subset profiling and biomarker discovery. © 2011 International Clinical Cytometry Society