Unveiling the biological variation of lymphocyte subset counts: Insights from a full-spectrum flow cytometer and the BD MultitestTM 6-Color TBNK kit

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-03-01 Epub Date: 2025-01-21 DOI:10.1016/j.cca.2025.120152
Kai Guo , Xiaoran Feng , Lei Xu , Zhongli Du , Yating Ma , Hong Lu , Chenbin Li , Mingting Peng
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Abstract

Background and aims

To estimate the biological variation (BV) for lymphocyte subset counts in healthy adults based on full-spectrum flow cytometry (FS-FCM) and the most commonly used BD MultitestTM 6-Color TBNK kit in China.

Materials and methods

The study was designed according to the BV Data Critical Appraisal Checklist (BIVAC). Peripheral blood samples were collected from 60 healthy adults every two weeks for a period of 20 weeks (10 samples from each subject). Lymphocyte subsets were quantified using FS-FCM and the kit mentioned above. Bayesian models were used to analyze within-subject BV (CVI) and between-subject BV (CVG). Accordingly, the analytical performance specifications (APS) and more were derived. Additionally, the allowable total error (TEa) derived from the BV data in this study was compared with that based on state-of-the-art (SOTA).

Results

The CVIs for the percentages of CD3+, CD3+CD4+, CD3+CD8+, CD3-CD19+, and CD3-CD16/CD56+ cells were 3.60 %, 7.05 %, 4.19 %, 10.73 %, and 19.17 %, respectively. The CVIs for the absolute counts were 13.99 %, 13.51 %, 16.19 %, 16.30 %, and 28.64 %, respectively. The CVGs for the percentages were 11.78 %, 21.33 %, 35.20 %, 33.69 %, and 44.36 %, and those for the absolute counts were 30.27 %, 28.84 %, 43.11 %, 46.69 %, and 49.21 %, respectively. No significant differences were observed in the CVI and CVG of males and females. The maximum allowable imprecision parameter based on the BV model was absolute CD3-CD16/56+ cell counts (14.3 %). For most lymphocyte subset parameters, TEa based on SOTA in China was less than the optimal TEa obtained from the BV data of this study.

Conclusions

To the best of our knowledge, this study is the first to estimate the BV of lymphocyte subset counts based on FS-FCM and the clinically commonly used BD MultitestTM 6-Color TBNK kit.
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揭示淋巴细胞亚群计数的生物学变异:来自全谱流式细胞仪和BD MultitestTM 6色TBNK试剂盒的见解
背景与目的:基于全谱流式细胞术(FS-FCM)和国内最常用的BD MultitestTM 6色TBNK试剂盒,估计健康成人淋巴细胞亚群计数的生物学变异(BV)。材料与方法:根据BV数据关键评价清单(BIVAC)设计研究。每两周采集60名健康成人的外周血样本,为期20 周(每位受试者10份样本)。使用FS-FCM和上述试剂盒定量淋巴细胞亚群。采用贝叶斯模型分析受试者内BV (CVI)和受试者间BV (CVG)。据此,导出了分析性能指标(APS)等。此外,本研究还比较了基于BV数据的允许总误差(TEa)与基于最优状态(SOTA)的允许总误差(TEa)。结果:CD3+、CD3+CD4+、CD3+CD8+、CD3- cd19 +、CD3- cd16 /CD56+细胞百分比的CVIs分别为3.60 %、7.05 %、4.19 %、10.73 %、19.17 %。绝对计数的CVIs分别为13.99 %、13.51 %、16.19 %、16.30 %和28.64 %。汇报工作的百分比是11.78 % 21.33 % 35.20 % 33.69 %,和44.36 %,和那些绝对数量30.27 % 28.84 % 43.11 % 46.69 %,分别和49.21 %。男女CVI、CVG无显著差异。基于BV模型的最大允许不精度参数为绝对CD3-CD16/56+细胞计数(14.3 %)。对于大多数淋巴细胞亚群参数,中国基于SOTA的TEa低于本研究BV数据获得的最佳TEa。结论:据我们所知,本研究首次基于FS-FCM和临床常用的BD MultitestTM 6-Color TBNK试剂盒估计淋巴细胞亚群计数的BV。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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