A Boldt, S Borte, S Fricke, K Kentouche, F Emmrich, M Borte, F Kahlenberg, U Sack
Institute of Clinical Immunology, Universität Leipzig, Medical Faculty, Leipzig, Germany; Translational Centre for Regenerative Medicine (TRM), Universität Leipzig, Leipzig, Germany.
Cytometry B Clin Cytom. 2014 Jan 16. doi: 10.1002/cytob.21162.
Background: The heterogeneity of primary and secondary immunodeficiencies demands for the development of a comprehensive flow cytometric screening system, based on reference values that support a standardized immunophenotypic characterization of most lymphocyte subpopulations. Methods: Peripheral blood samples from healthy adult volunteers (n=25) were collected and split into eight panel fractions (100µl each). Subsequently, pre-mixed 8-color antibody cocktails were incubated per specific panel of whole blood to detect and differentiate cell subsets of: (i) a general lymphocyte overviews, (ii) B-cell subpopulations, (iii) CD4+ subpopulations, (iv) CD8+ subpopulations, (v) regulatory T-cells, (vi) recent thymic emigrants, (vii) NK-cell subpopulations, (viii) NK-cell activation markers. All samples were lysed, washed and measured by flow cytometry. FACS DIVA software was used for data analysis and calculation of quadrant statistics (mean values, standard error of mean, percentile ranges). Results: Whole blood staining of lymphocytes provided the analysis of: (i) CD3+, 4+, 8+, 19+, 16/56+, and activated CD4/8 cells; (ii) immature, naïve, non-switched/switched, memory, (activated) CD21 , transitional B-cells, plasmablasts/plasmacells; (iii and iv) naïve, central memory, effector, effector memory, TH1/TH2/TH17-like and CCR5+CD8-cells; (v) CD25+, regulatory T-cells (naïve/memory, HLA-DR+); (vi) α/β- and γ/δ-T-cells, recent thymic emigrants in CD4/CD8 cells; (vii) immature/mature CD56 , CD94/NKG2D+ NK-cells; and (viii) Nkp30, 44, 46 and CD57+NK-cells. Clinical examples and quadrant statistics are provided. Conclusion: The present study represents a practical approach to standardize the immunophenotyping of most T-, B- and NK-cell subpopulations. That allows differentiating, whether abnormalities or developmental shifts observed in lymphocyte subpopulations originates either from primary or secondary immunological disturbance. © 2014 Clinical Cytometry Society.
原发性和继发性免疫缺陷的异质性要求开发一种全面的流式细胞术筛查系统,该系统基于支持大多数淋巴细胞亚群标准化免疫表型特征的参考值。方法:收集健康成年志愿者(n = 25)的外周血样本,并将其分成八个检测 panel 部分(每个 100µl)。随后,针对全血的每个特定 panel 孵育预混合的 8 色抗体鸡尾酒,以检测和区分以下细胞亚群:(i)一般淋巴细胞概况,(ii)B 细胞亚群,(iii)CD4 + 亚群,(iv)CD8 + 亚群,(v)调节性 T 细胞,(vi)近期胸腺迁出细胞,(vii)NK 细胞亚群,(viii)NK 细胞活化标志物。所有样本均进行裂解、洗涤并通过流式细胞术测量。使用 FACS DIVA 软件进行数据分析和象限统计计算(平均值、平均标准误差、百分位数范围)。结果:淋巴细胞的全血染色提供了对以下细胞的分析:(i)CD3 +、4 +、8 +、19 +、16/56 + 和活化的 CD4/8 细胞;(ii)未成熟、幼稚、未转换/转换、记忆、(活化的)CD21、过渡性 B 细胞、浆母细胞/浆细胞;(iii 和 iv)幼稚、中枢记忆、效应、效应记忆、TH1/TH2/TH17 样和 CCR5 + CD8 细胞;(v)CD25 + 调节性 T 细胞(幼稚/记忆,HLA - DR +);(vi)α/β - 和 γ/δ - T 细胞,CD4/CD8 细胞中的近期胸腺迁出细胞;(vii)未成熟/成熟 CD56、CD94/NKG2D + NK 细胞;以及(viii)Nkp30、44、46 和 CD57 + NK 细胞。提供了临床实例和象限统计数据。结论:本研究代表了一种标准化大多数 T、B 和 NK 细胞亚群免疫表型分析的实用方法。这使得能够区分淋巴细胞亚群中观察到的异常或发育变化是源于原发性还是继发性免疫紊乱。© 2014 临床细胞计量学会。